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Moon J, Nguyen J, Konstantinidis M, Li H, Bercu Z. Abstract No. 59 Temporal Trends in Cystostomy Exchanges and Placements: A 2000–2014 Analysis of the National Inpatient Sample (NIS) and National Emergency Department Sample (NEDS) of the Healthcare Cost and Utilization Project. J Vasc Interv Radiol 2023. [DOI: 10.1016/j.jvir.2022.12.103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/26/2023] Open
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2
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Carnero EA, Bock CP, Liu Y, Corbin K, Wohlers-Kariesch E, Ruud K, Moon J, Marcus A, Krajmalnik-Brown R, Muraviev A, Vodopyanov KL, Smith SR. Measurement of 24-h continuous human CH 4 release in a whole room indirect calorimeter. J Appl Physiol (1985) 2023; 134:766-776. [PMID: 36794690 PMCID: PMC10027086 DOI: 10.1152/japplphysiol.00705.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/19/2023] [Accepted: 01/31/2023] [Indexed: 02/17/2023] Open
Abstract
We describe the technology and validation of a new whole room indirect calorimeter (WRIC) methodology to quantify volume of methane (VCH4) released from the human body over 24 h concurrently with the assessment of energy expenditure and substrate utilization. The new system extends the assessment of energy metabolism by adding CH4, a downstream product of microbiome fermentation that could contribute to energy balance. Our new system consists of an established WRIC combined with the addition of off-axis integrated-cavity output spectroscopy (OA-ICOS) to measure CH4 concentration ([CH4]). Development, validation, and reliability of the system included environmental experiments to measure the stability of the atmospheric [CH4], infusing CH4 into the WRIC and human cross-validation studies comparing [CH4] quantified by OA-ICOS and mid-infrared dual-comb spectroscopy (MIR DCS).Our infusion data indicated that the system measured 24-h [CH4] and VCH4 with high sensitivity, reliability, and validity. Cross-validation studies showed good agreement between OA-ICOS and MIR DCS technologies (r = 0.979, P < 0.0001). Human data revealed 24-h VCH4 was highly variable between subjects and within/between days. Finally, our method to quantify VCH4 released by breath or colon suggested that over 50% of the CH4 was eliminated through the breath. The method allows, for the first time, measurement of 24-h VCH4 (in kcal) and therefore the measurement of the proportion of human energy intake fermented to CH4 by the gut microbiome and released via breath or from the intestine; also, it allows us to track the effects of dietary, probiotic, bacterial, and fecal microbiota transplantation on VCH4.NEW & NOTEWORTHY This is the first time that continuous assessment of CH4 is reported in parallel with measurements of O2 consumption and CO2 production inside a whole room indirect calorimeter in humans and over 24 h. We provide a detailed description of the whole system and its parts. We carried out studies of reliability and validity of the whole system and its parts. CH4 is released in humans during daily activities.
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Affiliation(s)
- E. A. Carnero
- Translational Research Institute, AdventHealth, Orlando, Florida, United States
| | - C. P. Bock
- Translational Research Institute, AdventHealth, Orlando, Florida, United States
| | - Y. Liu
- Translational Research Institute, AdventHealth, Orlando, Florida, United States
| | - K. Corbin
- Translational Research Institute, AdventHealth, Orlando, Florida, United States
| | | | - K. Ruud
- MEI Research, Ltd., Edina, Minnesota, United States
| | - J. Moon
- MEI Research, Ltd., Edina, Minnesota, United States
| | - A. Marcus
- Biodesign Swette Center for Environmental Biotechnology, Arizona State University, Tempe, Arizona, United States
- Biodesign Center for Health Through Microbiomes, Arizona State University, Tempe, Arizona, United States
| | - R. Krajmalnik-Brown
- Biodesign Center for Health Through Microbiomes, Arizona State University, Tempe, Arizona, United States
| | - A. Muraviev
- CREOL, College of Optics and Photonics, University of Central Florida, Orlando, Florida, United States
| | - K. L. Vodopyanov
- CREOL, College of Optics and Photonics, University of Central Florida, Orlando, Florida, United States
| | - S. R. Smith
- Translational Research Institute, AdventHealth, Orlando, Florida, United States
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Lechner M, Liu J, Counsell N, Gillespie D, Chandrasekharan D, Ta NH, Jumani K, Gupta R, Rocke J, Williams C, Tetteh A, Amnolsingh R, Khwaja S, Batterham RL, Yan CH, Treibel TA, Moon JC, Woods J, Brunton R, Boardman J, Hatter M, Abdelwahab M, Holsinger FC, Capasso R, Nayak JV, Hwang PH, Patel ZM, Paun S, Eynon-Lewis N, Kumar BN, Jayaraj S, Hopkins C, Philpott C, Lund VJ. The burden of olfactory dysfunction during the COVID-19 pandemic in the United Kingdom. Rhinology 2023; 61:93-96. [PMID: 36286227 DOI: 10.4193/rhin22.232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Affiliation(s)
- M Lechner
- Division of Surgery and Interventional Science, University College London, London, UK; UCL Cancer Institute, University College London, London, UK; ENT Department, Barts Health NHS Trust, London, UK
| | - J Liu
- UCL Cancer Institute, University College London, London, UK
| | - N Counsell
- CRUK and UCL Cancer Trials Centre, University College London, London, UK
| | - D Gillespie
- UCL Cancer Institute, University College London, London, UK
| | - D Chandrasekharan
- Division of Surgery and Interventional Science, University College London, London, UK
| | - N H Ta
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - K Jumani
- Division of Surgery and Interventional Science, University College London, London, UK
| | - R Gupta
- Division of Surgery and Interventional Science, University College London, London, UK
| | - J Rocke
- ENT Department, Wrightington, Wigan and Leigh NHS Foundation Trust, Wigan, UK
| | - C Williams
- ENT Department, Wrightington, Wigan and Leigh NHS Foundation Trust, Wigan, UK
| | - A Tetteh
- ENT Department, Guy's Hospital, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - R Amnolsingh
- Department of Otolaryngology, Manchester University NHS Foundation Trust, Manchester, UK
| | - S Khwaja
- Department of Otolaryngology, Manchester University NHS Foundation Trust, Manchester, UK
| | - R L Batterham
- Centre for Obesity Research, University College London, London, UK; Bariatric Centre for Weight Management and Metabolic Surgery, University College London Hospitals NHS Trust, London, UK; National Institute for Health Research, UCLH Biomedical Research Centre, London, UK
| | - C H Yan
- Department of Otolaryngology, University of San Diego School of Medicine, San Diego, USA
| | - T A Treibel
- National Institute for Health Research, UCLH Biomedical Research Centre, London, UK; Barts Heart Centre, St. Bartholomew's Hospital, London, UK; Institute of Cardiovascular Sciences, University College London, UK
| | - J C Moon
- National Institute for Health Research, UCLH Biomedical Research Centre, London, UK; Barts Heart Centre, St. Bartholomew's Hospital, London, UK; Institute of Cardiovascular Sciences, University College London, UK
| | - J Woods
- The Norfolk Smell and Taste Clinic, Norfolk and Waveney ENT Service, UK
| | - R Brunton
- ENT Department, Guy's Hospital, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | | | - M Hatter
- Medical University of South Carolina, Charleston, SC, USA
| | - M Abdelwahab
- Medical University of South Carolina, Charleston, SC, USA
| | - F C Holsinger
- Medical University of South Carolina, Charleston, SC, USA
| | - R Capasso
- Medical University of South Carolina, Charleston, SC, USA
| | - J V Nayak
- Medical University of South Carolina, Charleston, SC, USA
| | - P H Hwang
- Medical University of South Carolina, Charleston, SC, USA
| | - Z M Patel
- Medical University of South Carolina, Charleston, SC, USA
| | - S Paun
- Division of Surgery and Interventional Science, University College London, London, UK
| | - N Eynon-Lewis
- Division of Surgery and Interventional Science, University College London, London, UK
| | - B N Kumar
- ENT Department, Wrightington, Wigan and Leigh NHS Foundation Trust, Wigan, UK
| | - S Jayaraj
- Division of Surgery and Interventional Science, University College London, London, UK
| | - C Hopkins
- ENT Department, Guy's Hospital, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - C Philpott
- Norwich Medical School, University of East Anglia, Norwich, UK; The Norfolk Smell and Taste Clinic, Norfolk and Waveney ENT Service, UK
| | - V J Lund
- Royal National ENT Hospital, University College London Hospitals NHS Trust, London, UK
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Daly M, Redman M, Simone C, Monjazeb A, Bauman J, Hesketh P, Feliciano J, Kashani R, Steuer C, Ganti A, Jieling M, Moon J, Hu C, Bradley J, Kelly K. SWOG/NRG S1914: A Randomized Phase III Trial of Induction/Consolidation Atezolizumab + SBRT vs. SBRT Alone in High Risk, Early-Stage NSCLC (NCT#04214262). Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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Moon J, Usmanova G, van der Schans J, Noh JW, Biesma R. Evaluation of interventions for essential newborn care practices at home-based delivery in India. Eur J Public Health 2022. [DOI: 10.1093/eurpub/ckac130.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
India has the largest share of neonatal mortality, accounting for 21.7 per 1,000 in 2019, while the global goal is at least 12 per 1,000 by 2030. More than 20% of deliveries still occur at home in India for various reasons. Several national interventions were designed to ensure essential practices even at home by engaging skilled birth attendants (SBAs), antenatal care (ANC), and community health workers (CHWs). This study evaluates the effectiveness of these interventions on essential newborn care practices (EP); clean cord care, thermal care, and breastfeeding. Using data from the 2015-2016 India Demographic and Health Survey (n = 9,273), this study employs structural equation modeling to confirm the relationship between SBA, ANC, CHWs` counseling, and EP, including indirect effects of ANC and CHWs and moderating effects of women's empowerment. The results show that SBA and ANC have significant direct effects (standardised coefficient=0.105 and 0.056, respectively) on EP, and ANC and CHWs have significant indirect effects (0.015 and 0.004) in the well-fitted model (CFI=0.938, TLI=0.920, RMSEA (upper 90% CI)=0.028 (0.029), SRMR=0.044). The empowerment-related factors which had a significant positive moderating effect on the paths from SBA to EP and from ANC to EP are decision-making power (0.007, 0.003), allowed mobility (0.002, 0.001), and education (0.009, 0.004). More than 90% of EP variance is not associated with the factors in this model (standardised coefficient=0.958). SBA demonstrated the most considerable effectiveness for EP, while ANCs and CHW indirectly impacted EP. Improving women's empowerment can be an effective strategy to enhance EP. Previous literature said that the other factors explaining EP could be quality of care, other interventions for a safe birth, and cultural characteristics. Policymakers are recommended to consider comprehensive factors to address barriers to safe home birth and design CHW's intervention to persuade SBA.
Key messages
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Affiliation(s)
- J Moon
- Graduate School of Medical Sciences, University of Groningen , Groningen, Netherlands
| | - G Usmanova
- Monitoring, Evaluation and Research, Jhpiego, New Delhi, India
| | - J van der Schans
- Department of Health Sciences, University of Groningen , Groningen, Netherlands
- Faculty of Economics and Business, University of Groningen , Groningen, Netherlands
| | - JW Noh
- Division of Health Administration, Yonsei University, Seoul , South Korea
| | - R Biesma
- Department of Health Science, Global Health, University of Groningen , Groningen, Netherlands
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Moon J, Kang SJ, Noh JW. Evaluation of primary health care system in Yangon Region, Myanmar: a mixed-method approach. Eur J Public Health 2022. [DOI: 10.1093/eurpub/ckac131.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Many low- and middle-income countries and international organizations have invested resources to strengthen primary health care services. Despite efforts from the Ministry of Health on primary health care, barriers to accessing health care services and health inequality in Myanmar still exist. This study aimed to identify the challenges and unmet needs in the current primary health care services by assessing the experiences and perceptions of healthcare workers and local leaders in three townships (Htantabin, Hmawbi, and Taikkyi) in Yangon, Myanmar.
Methods
The study was conducted among healthcare professionals and community leaders in three townships. By adopting a mixed-method approach, a cross-sectional health needs assessment survey was conducted for quantitative data (n = 66), and focus group discussions (15 group discussions) were conducted online for qualitative data.
Results
As a result of the survey regarding six domains; hygiene, primary medical care, maternal and child health, infectious diseases, non-communicable diseases, and leadership, enhancing the management and leadership capacity had the lowest average score on the current achievement (2.81 out of 5), while strengthening infectious disease control service and accessibility was perceived as the highest mean on the priority of intervention (4.28 out of 5) and the impact of the intervention (4.7). The focus group discussions revealed that while specific infrastructures and equipment necessary for the category were addressed, the need for financial support has been the recurrent theme throughout the discussions.
Conclusions
Utilizing the World Health Organization’s six-building block framework, our findings suggest that a long-term targeted financial investment in the primary health care system is critical in Myanmar by increasing health care expenditure per capita. At the same time, related barriers and facilitators should be considered to optimize the effectiveness of prioritized interventions.
Key messages
• Health care providers and local leaders perceived the management and leadership capacity as the lowest current achievement.
• A long-term targeted financial investment in the primary health care system is critical in Myanmar.
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Affiliation(s)
- J Moon
- Graduate School of Medical Sciences, University of Groningen , Groningen, Netherlands
| | - SJ Kang
- Institute of Health and Environment, Seoul National University , Seoul, South Korea
| | - JW Noh
- Division of Health Administration, Yonsei University , Wonju, South Korea
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Papatheodorou E, Kissel C, Merghani A, Hughes R, Torlasco C, Bakalakos A, Downs E, Parry-Williams G, Finocchiaro G, Malhotra A, Moon JC, Papadakis M, Al Fakih K, Dey D, Sharma S. Exercise induced coronary inflammation in masters athletes. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Chronic endurance exercise has been linked to increased prevalence of coronary artery disease (CAD) in male master athletes. Data are limited regarding the presence of exercise-induced coronary inflammation and its association with atherosclerosis in master endurance athletes. Human coronary inflammation can be detected non-invasively by imaging pericoronary adipose tissue (PCAT). We tested the hypothesis that chronic endurance exercise leads to increased prevalence of atherosclerosis via coronary inflammation.
Methods
Computed tomography coronary angiogram CTCA scans from 2 cohorts of master athletes and age-matched controls, without known risk factors for CAD, were analysed post-hoc and the PCAT attenuation index was calculated around the proximal right coronary artery (FAIRCA). The athletes and the healthy controls also underwent an electrocardiogram, an echocardiogram, a cardiopulmonary exercise test (CPET), a 24-hour Holter tape and a Cardiac Magnetic Resonance (CMR) scan.
Results
Scans from 243 masters endurance athletes (62% females) and 58 age and Framingham CAD risk score matched healthy controls were analysed. FAIRCA was significantly higher (less negative) in male masters athletes vs female masters athletes [−61.3 Hounsfield Units (HU) vs −62.8 HU, p=0.01], in male athletes vs male controls (−61.3 HU vs −68.6 HU, p<0.001) and in female athletes vs female controls (−62,8 HU vs −67.5 HU, p=0.005). In female masters athletes, peak oxygen consumption during CPET (peak VO2) statistically significantly predicted the FAIRCA, F(1,146) = 22.62, p<0.0001. There was no correlation between the FAIRCA and presence of atherosclerosis in male masters athletes.
Conclusions
Masters athletes show increased markers of coronary inflammation. This effect appears to be greater in male masters athletes and is associated with a higher peak VO2 in female masters athletes. However, we did not identify a link between coronary inflammation and coronary atherosclerosis in this cohort.
Funding Acknowledgement
Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): Cardiac Risk in the Young, UK
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Affiliation(s)
| | - C Kissel
- University Hospital Zurich , Zurich , Switzerland
| | - A Merghani
- University of British Columbia , Vancouver , Canada
| | - R Hughes
- Barts Health NHS Trust , London , United Kingdom
| | - C Torlasco
- University of Milan Bicocca , Milan , Italy
| | - A Bakalakos
- Barts Health NHS Trust , London , United Kingdom
| | - E Downs
- University of Sheffield , Sheffield , United Kingdom
| | | | - G Finocchiaro
- Guy's and St Thomas' NHS Trust Hospitals , London , United Kingdom
| | - A Malhotra
- University of Manchester , Manchester , United Kingdom
| | - J C Moon
- Barts Health NHS Trust , London , United Kingdom
| | - M Papadakis
- St George's University of London , London , United Kingdom
| | - K Al Fakih
- Lewisham and Greenwich NHS Trust , London , United Kingdom
| | - D Dey
- Cedars-Sinai Medical Center , Los Angeles , United States of America
| | - S Sharma
- St George's University of London , London , United Kingdom
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Hughes RK, Shiwani H, Rosmini S, Burke L, Pierce I, Castelletti S, Xue H, Kellman P, Lopes LR, Treibel T, Manisty C, Captur G, Davies R, Moon J. Improved diagnostic accuracy for apical hypertrophic cardiomyopathy. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Introduction
The diagnosis of apical hypertrophic cardiomyopathy (ApHCM) is contingent on demonstrating apical maximum wall thickness (MWT) of ≥15mm; the same threshold as other HCM subtypes. However, the myocardium naturally tapers towards the apex in healthy individuals, so ≥15mm MWT is proportionately higher in the apex than in naturally thicker basal segments. Using cardiac magnetic resonance (CMR), relative ApHCM has been described (typical ECG features, loss of apical tapering, cavity obliteration but hypertrophy <15mm). Wall thickness measurement using machine learning now exceeds human performance.
Purpose
We aimed to redefine the optimal diagnostic threshold for ApHCM using segment-specific criteria based on a large cohort of healthy control subjects.
Methods
Segmental wall thickness was measured using healthy subjects from the UK Biobank using a clinically validated machine learning algorithm1,2. A normative reference range was established for all 16 segments, conditioned to body surface area (BSA), sex and age. Derived segment-specific wall thickness thresholds were used to define optimal disease thresholds for patients clinically managed with overt (MWT ≥15mm) and relative ApHCM (MWT <15mm, but typical ECG and imaging findings).
Results
4118 UK biobank subjects were used to define normal segmental thicknesses and reference ranges. These were applied to ApHCM (73 overt, 31 relative). There were no apical wall thickness age related differences. The upper limit of the 95% confidence interval corresponded to a combined maximum apical MWT for both males and females of 10.4mm using non-indexed measurement, or 5.6mm/m2 when indexed to BSA. Non-indexed segmental threshold identified 100% of ApHCM patients (true positives), 81% (25 of 31) relative ApHCM and 3% (115 of 4118) of healthy UK biobank subjects (false positives). Indexed segmental thresholds improved the diagnostic potential in relative ApHCM without an increase in false positives (100% of ApHCM patients, 84% (26 of 31) of relative ApHCM patients, and 3% healthy UK biobank (127 of 4118).
Conclusion
We propose new diagnostic criteria for ApHCM using segmental indexed apical wall thickness of >5.6 mm/m2 to better identify inappropriate apical hypertrophy in those whose wall thickness does not meet current criteria for diagnosis.
Funding Acknowledgement
Type of funding sources: Foundation. Main funding source(s): British Heart Foundation
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Affiliation(s)
- R K Hughes
- Barts Heart Centre , London , United Kingdom
| | - H Shiwani
- Barts Heart Centre , London , United Kingdom
| | - S Rosmini
- King's College Hospital , London , United Kingdom
| | - L Burke
- University College London , London , United Kingdom
| | - I Pierce
- Barts Heart Centre , London , United Kingdom
| | - S Castelletti
- Italian Auxological Institute San Luca Hospital , Milan , Italy
| | - H Xue
- National Institutes of Health , Bethesda , United States of America
| | - P Kellman
- National Institutes of Health , Bethesda , United States of America
| | - L R Lopes
- Barts Heart Centre , London , United Kingdom
| | - T Treibel
- Barts Heart Centre , London , United Kingdom
| | - C Manisty
- Barts Heart Centre , London , United Kingdom
| | - G Captur
- University College London , London , United Kingdom
| | - R Davies
- University College London , London , United Kingdom
| | - J Moon
- Barts Heart Centre , London , United Kingdom
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Malcolmson JW, Hughes RK, Shiwani H, Husselbury T, Procter W, Godec T, Davies R, Omahony C, Moon J, Dhinoja MB, Petersen SE, Mohiddin SA. Cardiac magnetic resonance imaging predictors of ventricular arrhythmia in mid-cavity obstructive hypertrophic cardiomyopathy. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background/Introduction
Left ventricular (LV) mid-cavity obstruction (LVMCO) in hypertrophic cardiomyopathy (HCM) is an uncommon phenotypic feature predisposed to the formation of myocardial fibrosis and apical aneurysms (LVAA). These features may be independently proarrhythmic, and LVAA is considered a class 2a indication for implantable cardioverter defibrillator (ICD) in current US, but not European guidelines for the primary prevention of sudden cardiac death (SCD). Cardiac magnetic resonance (CMR) imaging is the preferred modality for detecting these and other phenotypic features critical to SCD risk assessment.
Purpose
To assess the ability of CMR imaging parameters to predict occurrence of non-sustained ventricular tachycardia (NSVT) in HCM patients with Doppler-derived evidence of LVMCO.
Methods
Multi-modality imaging records were retrospectively assessed to identify HCM patients with Doppler-LVMCO and CMR scans. CMR images were assessed by an investigator blinded to clinical status. Late gadolinium enhancement (LGE) was quantified using the full-width, half-maximum technique. CMR imaging parameters were assessed for predictive ability using Cox proportional hazards during univariate and multivariate analyses, accounting for time to event (NSVT or censorship of follow-up).
Results
The study cohort included 58 patients (57±11 years, 74% male) with a median follow-up of 6.2 (IQR 4.3) years. Mean mid-cavity gradient was 33±23 mmHg. NSVT was detected in 27/58 (47%) patients, was 4 beats or longer in 23/27 (85%) and was monomorphic in 21/27 (77%).
On univariate analysis, predictors of NSVT during follow-up include LV mass index (HR 1.02, 95% CI 1.00–1.04, p=0.03), LGE in grams (HR 1.04, 95% CI 1.01–1.06, p=0.005), and LVAA (HR 2.57, 95% CI 1.14–5.79, p=0.023). After multivariate adjustment (Table 2), none were significantly associated.
Conclusions
In LVMCO, magnitude of LV hypertrophy, extent of LGE and the presence of an apical aneurysm may not be independent predictors of ventricular arrhythmias. SCD algorithms based on qualitative assessments of these features may overestimate risk.
Funding Acknowledgement
Type of funding sources: Public Institution(s). Main funding source(s): National Institute of Health Research (NIHR)
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Affiliation(s)
- J W Malcolmson
- Barts Health NHS Trust, Cardiology , London , United Kingdom
| | - R K Hughes
- Barts Health NHS Trust, Cardiology , London , United Kingdom
| | - H Shiwani
- Barts Health NHS Trust, Cardiology , London , United Kingdom
| | - T Husselbury
- Barts Health NHS Trust, Cardiology , London , United Kingdom
| | - W Procter
- Barts Health NHS Trust, Cardiology , London , United Kingdom
| | - T Godec
- William Harvey Research Institute , London , United Kingdom
| | - R Davies
- Barts Health NHS Trust, Cardiology , London , United Kingdom
| | - C Omahony
- Barts Health NHS Trust, Cardiology , London , United Kingdom
| | - J Moon
- Barts Health NHS Trust, Cardiology , London , United Kingdom
| | - M B Dhinoja
- Barts Health NHS Trust, Cardiology , London , United Kingdom
| | - S E Petersen
- Barts Health NHS Trust, Cardiology , London , United Kingdom
| | - S A Mohiddin
- Barts Health NHS Trust, Cardiology , London , United Kingdom
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10
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Gama F, Rosmini S, Bandula S, Patel KP, Thornton GD, Bennett JB, Wechelakar A, Gillmore JD, Whelan C, Lachmann H, Taylor S, Fontana M, Moon J, Hawkins PN, Treibel T. Extracellular volume fraction by computed tomography predicts long-term prognosis among patients with cardiac amyloidosis. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Objective
This study sought to investigate the association of extracellular volume fraction by computed tomography (ECVCT), myocardial remodeling and mortality in patients with systemic amyloidosis.
Background
Light chain (AL) and transthyretin (ATTR) amyloid fibrils are deposited in the extracellular space of the myocardium, resulting in heart failure and premature mortality. Extracellular expansion can be quantified by CT, offering a rapid and cost-effective alternative to cardiovascular magnetic resonance (CMR), especially among patients with cardiac devices or on renal dialysis.
Methods
Patients with confirmed systemic amyloidosis and varying degrees of cardiac involvement underwent ECG-gated cardiac CT. ECVCT was analysed in the inter-ventricular septum. All patients also underwent clinical assessment, ECG, echocardiography, serum amyloid protein component (SAP) and/or technetium-99m (99mTc) 3,3-diphosphono-1,2-propanodicarboxylic acid scintigraphy. ECVCT was compared across different extents of cardiac infiltration (ATTR Perugini Grade / AL Mayo Class) and evaluated for its association with myocardial remodelling and all-cause mortality.
Results
72 patients were studied (AL n=35, ATTR n=37; age 67 (59–76) years, 71% males). Mean septal ECVCT was 42.7±13.1% and 55.8±10.9% in AL and ATTR, respectively, and correlated with indexed left ventricular (LV) mass (r=0.426, p<0.001), LV ejection fraction [LVEF, (r=0.460, p<0.001)], NT-proBNP (r=0.563, p<0.001) and hsTnT (r=0.546, p=0.02). ECVCT increased with cardiac amyloid involvement in both AL and ATTR (Figure 1). Over a mean follow-up of 5.3±2.4 years, 40 deaths occurred (AL 14 [35%]; ATTR 26 [65%]). ECVCT was independently associated with all-cause mortality in ATTR (not AL) after adjustment for age and IV septal wall thickness (HR: 1.046, 95% CI: 1.003–1.090, p=0.037).
Conclusion
Cardiac amyloid burden quantified by ECVCT is associated with adverse cardiac remodelling as well as all-cause mortality among ATTR amyloid patients. ECVCT may address the need for better identification and risk stratification of amyloid patients, using a widely-accessible imaging modality (Figure 2).
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- F Gama
- Barts Heart Centre, St Bartholomew's Hospital, Cardiac imaging , London , United Kingdom
| | - S Rosmini
- Barts Heart Centre , London , United Kingdom
| | - S Bandula
- University College of London , London , United Kingdom
| | - K P Patel
- Barts Heart Centre, St Bartholomew's Hospital, Cardiac imaging , London , United Kingdom
| | - G D Thornton
- Barts Heart Centre, St Bartholomew's Hospital, Cardiac imaging , London , United Kingdom
| | - J B Bennett
- Barts Heart Centre, St Bartholomew's Hospital, Cardiac imaging , London , United Kingdom
| | - A Wechelakar
- Queen Mary University of London , London , United Kingdom
| | - J D Gillmore
- Queen Mary University of London , London , United Kingdom
| | - C Whelan
- University College of London , London , United Kingdom
| | - H Lachmann
- Queen Mary University of London , London , United Kingdom
| | - S Taylor
- University College of London , London , United Kingdom
| | - M Fontana
- University College of London , London , United Kingdom
| | - J Moon
- Barts Heart Centre, St Bartholomew's Hospital, Cardiac imaging , London , United Kingdom
| | - P N Hawkins
- Queen Mary University of London , London , United Kingdom
| | - T Treibel
- Barts Heart Centre, St Bartholomew's Hospital, Cardiac imaging , London , United Kingdom
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11
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Joy G, Webber M, Kelly CI, Pierce I, Teh I, Schneider J, Nguyen C, Kellman P, Orini M, Lambiase P, Rudy Y, Captur G, Dall'armellina E, Moon JC, Lopes LR. Advanced microstructural substrate detection in pre-hypertrophic HCM and its relationship to arrhythmogenesis; a hybrid CMR-ECG-Imaging study. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Hypertrophic cardiomyopathy is defined in three domains; clinically by unexplained hypertrophy, genetically by sarcomeric gene mutations and histologically by disarray, small vessel disease and fibrosis. Both ischaemia and myocyte disarray have been implicated in arrhythmogenesis and sudden cardiac death but whether disarray occurs before hypertrophy and its relationship to ischaemia is unknown.
Diffusion-tensor CMR, perfusion mapping & ECG Imaging (ECGI) can measure disarray, ischaemia and electrical aberrance respectively in vivo. We aimed to investigate these in genotype positive (G+) subjects without hypertrophy (LVH−) to identify further subclinical manifestations of gene expression and whether these relate to ventricular arrhythmia formation.
Methods
Diffusion-tensor CMR (3-Tesla) using a motion-compensated spin-echo sequence was acquired in 3 short-axis slices. Quantitative adenosine stress perfusion mapping was performed using standard clinical protocols. A novel ECGI vest, containing 256 unipolar electrodes acquired a 5-minute recording of body-surface potentials to quantify conduction and repolarisation dynamics intervals.
Results
ECGI/CMR was performed on 68 mutation carriers from 64 families and 24 age sex and ethnicity matched healthy controls. Of the mutation carriers, median age was 33 (24–41 years), 57% (39) were female, and 79% (54) were white. Mutations were 39 (57%) MYBPC3, 19 (28%) MYH7, 1 (1%) MYL2 and 9 (12%) were thin filament/non-sarcomeric mutations. There was no significant difference in ejection fraction or LV mass, however G+LVH− had a higher maximum wall thickness (9 (9–10) vs 8 (7–9) mm p=0.003).
Compared to healthy volunteers, G+LVH− individuals had more perfusion defects (18/64 (30%) vs 0, p=0.004), lower Fractional Anisotropy (FA) (suggestive of more disarray) (0.32±0.02 vs 0.34±0.02, p<0.0001) and more prolonged Activation–Recovery Intervals (ARI, a surrogate for action potential duration (259±40 vs 240±31 ms, p=0.03).
In G+LVH−, patients with perfusion defects had more prolonged ARI (263 (248 vs 292) vs 246 (225–283) ms, p=0.03) and lower FA suggestive of more disarray (0.32±0.2 vs 0.31±0.1, p=0.04).
Conclusion
Ischaemia, myocyte disarray and electrical abnormalities occur even in the absence of hypertrophy in HCM. These abnormalities associate to form a complex a clinical phenotype.
Funding Acknowledgement
Type of funding sources: Public Institution(s). Main funding source(s): British Heart FoundationBarts Charity
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Affiliation(s)
- G Joy
- University College London , London , United Kingdom
| | - M Webber
- University College London , London , United Kingdom
| | - C I Kelly
- Leeds Institute of Cardiovascular and Metabolic Medicine , Leeds , United Kingdom
| | - I Pierce
- University College London , London , United Kingdom
| | - I Teh
- Leeds Institute of Cardiovascular and Metabolic Medicine , Leeds , United Kingdom
| | - J Schneider
- Leeds Institute of Cardiovascular and Metabolic Medicine , Leeds , United Kingdom
| | - C Nguyen
- Massachusetts General Hospital , Massachusetts , United States of America
| | - P Kellman
- National Institutes of Health , Bethesda , United States of America
| | - M Orini
- University College London , London , United Kingdom
| | - P Lambiase
- University College London , London , United Kingdom
| | - Y Rudy
- Washington University in St Louis , Missouri , United States of America
| | - G Captur
- University College London , London , United Kingdom
| | - E Dall'armellina
- Leeds Institute of Cardiovascular and Metabolic Medicine , Leeds , United Kingdom
| | - J C Moon
- University College London , London , United Kingdom
| | - L R Lopes
- University College London , London , United Kingdom
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12
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Sharrack N, Knott KD, Yeo JL, Kotecha T, Brown LAE, Thirunavukarasu S, Chowdhary A, Levelt E, Moon JC, McCann GP, Fontana M, Kellman P, Munyombwe T, Swoboda P, Plein S. Quantitative myocardial blood flow as a prognostic marker for cardiovascular outcomes in patients with Type 2 Diabetes Mellitus: a multicentre study. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Introduction: Patients with Type 2 Diabetes Mellitus (T2DM) are at increased risk of cardiovascular disease, including epicardial coronary heart disease, silent myocardial infarction (MI), and coronary microvascular dysfunction (CMD) [1]. All of these can be assessed and quantified using cardiac magnetic resonance (CMR), including most recently quantitative myocardial blood flow (MBF). We aimed to determine the prognostic relevance of MBF in patients with T2DM and test the hypothesis that impaired stress MBF and myocardial perfusion reserve (MPR) have independent prognostic value over standard clinical and imaging parameters.
Methods
A 4-centre study of patients with T2DM who underwent quantitative perfusion assessment using CMR. Diagnosis of T2DM was based on Hba1c >48mmol/l or a known diagnosis of T2DM. Image analysis was performed automatically using an artificial intelligence approach deriving global MBF and MPR [2]. Cox proportional hazard models adjusting for comorbidities and CMR parameters sought associations between stress MBF and MPR with death and major adverse cardiovascular events (MACE), including MI, non-fatal stroke, heart failure hospitalisation and death.
Results
A total of 630 patients with T2DM were included with a median follow-up of 722 days (interquartile range 493) days. There were 27 (4.3%) deaths and 76 MACE events in 62 (12.1%) patients. Patient data was represented into groups depending on threshold stress MBF values of 1.94ml/g/min and MPR thresholds of 1.96 using validated data from invasive coronary physiology [3]. Patient demographics and CMR data are seen in table 1. Kaplan-Meier curves are seen in figure 1. Stress MBF was associated with mortality and MACE after adjusting for age, LV ejection fraction and HbA1c. The stress MBF adjusted hazard ratios for all cause death and death and MACE were 0.35 (95% CI, 0.13–0.95, P=0.04) and 0.54 (95% CI, 0.30–0.96, P=0.04), respectively. MPR was not significantly associated with death and MACE after adjusting for age, LV ejection fraction and HbA1c; hazard ratio for all cause death and death and MACE was 0.83 (95% CI, 0.41–1.69, P=0.60) and 0.81 (95% CI, 0.53–1.23, p=0.32) respectively.
Conclusion
In patients with T2DM, reduced stress MBF measured automatically inline using artificial intelligence quantification of cardiovascular magnetic resonance perfusion mapping provides a strong, independent predictor of adverse cardiovascular outcome.
Funding Acknowledgement
Type of funding sources: Other. Main funding source(s): 1. REC ID 14/EE/0007 (Barts Heart Centre funding). 2. For PREDICT (Leicester data) ethical approval was provided by the UK Health Research Authority Research Ethics Committee (reference 17/WM/0192). 3. MATCH Study, Leeds - British Heart Foundation - 17/YH/0300. 4. LEAN-DM, Leeds - British Heart Foundation - 18/YH/01685. CEED, Leeds: British Heart Foundation - REC reference - 18/YH/0190
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Affiliation(s)
- N Sharrack
- University of Leeds , Leeds , United Kingdom
| | - K D Knott
- Barts Heart Centre , London , United Kingdom
| | - J L Yeo
- NIHR Biomedical Research Unit in Cardiovascular Disease , Leicester , United Kingdom
| | - T Kotecha
- Royal Free London NHS Foundation Trust , London , United Kingdom
| | - L A E Brown
- University of Leeds , Leeds , United Kingdom
| | | | - A Chowdhary
- University of Leeds , Leeds , United Kingdom
| | - E Levelt
- University of Leeds , Leeds , United Kingdom
| | - J C Moon
- Barts Heart Centre , London , United Kingdom
| | - G P McCann
- NIHR Biomedical Research Unit in Cardiovascular Disease , Leicester , United Kingdom
| | - M Fontana
- Royal Free London NHS Foundation Trust , London , United Kingdom
| | - P Kellman
- National Heart Lung and Blood Institute , Bethesda , United States of America
| | - T Munyombwe
- University of Leeds , Leeds , United Kingdom
| | - P Swoboda
- University of Leeds , Leeds , United Kingdom
| | - S Plein
- University of Leeds , Leeds , United Kingdom
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13
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Topriceanu C, Weber M, Fiona C, Moon JC, Chaturvedi N, Hughes AD, Schott J, Richards M, Captur G. Heterozygous APOE ε4 carriage associates with improved myocardial efficiency in older age. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Carriage of the ancestral APOE ε4 allele confers a risk of developing Alzheimer's and coronary artery disease, but its persistence in human populations also suggests some potential survival advantages. To date it remains unclear whether APOE ε4 carriage independently associates with a better or worse long-term cardiac phenotype.
Purpose
Using data from the 1946 National Survey of Health and Development (NSHD) birth cohort, we investigated whether APOE ε4 carriage associates with adverse or beneficial left ventricular (LV) size and function parameters by echocardiography in older age.
Methods
Based on the presence or absence of APOE ε4, genotypes were divided into: non-APOE ε4 (ε2ε2, ε2ε3, ε3ε3), heterozygous-APOE ε4 (ε2ε4 and ε3ε4) and homozygous-APOE ε4 (ε4ε4). Echocardiographic data at 60–64 years included: left ventricular ejection fraction (LV EF), E/e', systolic and diastolic LV posterior wall and interventricular septal thickness (LVPWTs/d, IVSs/d), and body-surface area indexed LV mass (LVmassi) and myocardial contraction fraction (MCFi). Generalized linear models explored associations between APOE ε4 genotypes as exposures and echocardiographic biomarkers as outcomes. As a combination of gene variants, APOE ε genotype is expected to be an instrumental variable and therefore unconfounded. Thus, Model 1 was unadjusted. To obtain more precise regression estimates, Model 2 was adjusted for factors associated with the outcome, namely sex and socio-economic position (SEP). To explore the mechanistic pathway downstream of APOE ε genotype but upstream of the echocardiographic outcomes, subsequent models were adjusted for mediators as follows: Model 3 for body mass index, Model 4 for the presence of cardiovascular disease (CVD), Model 5 for diabetes, Model 6 for high cholesterol and Model 7 for hypertension.
Results
1464 participants were included. Compared to non-APOE ε4 and homozygous groups, heterozygous-APOE ε4 individuals had similar cardiac phenotypes in terms of EF, E/e', LVPWTs/d, IVSs/d and LVmassi but had a 7% higher MCFi 95% confidence interval [CI]: 1%-13%, p=0.017) which persisted even after adjustment for sex and SEP (95% CI 1%-12%, p=0.026) that was attenuated to 6% after adjustment for CVD (95% CI 0–13% p=0.050) and hypertension (95% CI 1–13% p=0.022).
Conclusion
The heterozygous-APOE ε4 state associates with improved myocardial shortening in older age resulting in greater LV stroke volume generation per 1 mL of myocardium. As we found no association between APOE ε4 carriage and LVPWTs/d, IVSs/d or LVmassi, MCFi enhancement may be mediated by improved myocardial energetics and contractility, with calcium and androgens potentially implicated, rather than through pathological ventricular thickening. Although a dose relationship is normally expected with ε4 carriage, any benefit from increased energetics and contractility is likely to be counterbalances by the higher risk of CVD and cardiovascular risk factors.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): UK Medical Research Council British Heart Foundation
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Affiliation(s)
- C Topriceanu
- University College London, UCL Institute of Cardiovascular Science , London , United Kingdom
| | - M Weber
- University College London, UCL Institute of Cardiovascular Science , London , United Kingdom
| | - C Fiona
- University College London, UCL Institute of Cardiovascular Science , London , United Kingdom
| | - J C Moon
- Barts Heart Centre , London , United Kingdom
| | - N Chaturvedi
- University College London, UCL MRC Unit of Lifelong Health and Ageing , London , United Kingdom
| | - A D Hughes
- University College London, UCL MRC Unit of Lifelong Health and Ageing , London , United Kingdom
| | - J Schott
- University College London, UCL MRC Unit of Lifelong Health and Ageing , London , United Kingdom
| | - M Richards
- University College London, UCL MRC Unit of Lifelong Health and Ageing , London , United Kingdom
| | - G Captur
- University College London, UCL MRC Unit of Lifelong Health and Ageing , London , United Kingdom
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14
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Moon J, Cho HG, Kim S, Kim S, Park G, Song S, Jung W, Ock CY. 1704P Multimodal approach to discover novel targets for antibody-drug conjugates by analyzing distinct expression patterns of frequent copy number aberration. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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15
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Rehman A, Kellman P, Xue H, Pierce I, Davies RH, Fontana M, Moon JC. Convolutional neural network transformer (CNNT) for free-breathing real-time cine imaging. Eur Heart J Cardiovasc Imaging 2022. [DOI: 10.1093/ehjci/jeac141.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Background
Real-time cine imaging does not require breath-holding and is a robust cine imaging technique in the presence of irregular heartbeats. It is a good alternative to the conventional breath-hold retro-gated cine for simplified acquisition and improved patient comfort. Real-time acquisition is achieved with the single-shot BSSFP readout without retro-gating. To maintain good temporal and spatial resolution, higher acceleration (e.g. >4x parallel imaging) is required. As a result, the real-time cine images experience reduced signal-to-noise ratio (SNR), which limits its clinical acceptance.
Purpose
We developed a novel deep learning model architecture, the Convolutional Neural Network Transformer (CNNT), to improve the quality of real-time cine, under 4x, 5x and 6x acceleration.
Method
Convolutional Neural Networks (CNN) are widely used in CMR research to process cardiac images. Cardiac images are often acquired as a time series with strong inter-phase correlation. We combined the CNN with the more recent transformer model to develop a novel CNNT architecture. It takes in the entire 2D+T time series as input and has advantages of CNN for efficient computation and spatial invariance. It further inherits the advantages of attention layer in the transformer and is able to efficiently utilize the temporal correlation within a time series.
A CNNT model is developed to improve the SNR of real-time cine imaging. N=10 patients were scanned at a heart center, with 4x, 5x and 6x acceleration. Typical imaging parameters are: FOV 360×270mm2, flip angle 50°, acquired matrix size 160×90 for R=4 acceleration, 192×108 for R=5 and 6, temporal resolution 40ms for R=4, 42ms for R=5 and 35ms for R=6. The real-time images went through a TGRAPPA reconstruction [1] and the CNNT model. The SNR of TGRAPPA was measured with SNR units [2]. The Monte-Carlo pseudo-replica test was used to measure SNR for the CNNT model. For every cine series, two phases were picked for the end-systole and end-diastole. For every image picked, two region-of-interests were drawn in the myocardium and in the LV blood pool. The CNNT model was deployed inline on the MR scanner using the Gadgetron InlineAI [3].
Results
Figure 1 gives real-time cine images for three accelerations, reconstructed with TGRAPPA and CNNT. The parallel imaging TGRAPPA reconstruction suffers significant SNR loss from elevated g-factor and less acquired data. The deep learning CNNT model recovered SNR even at the very high 6x acceleration, without observed loss of boundary sharpness.
Table 1 lists the SNR measurement results. The TGRAPPA SNR decreased ∼4x from R=4 to R=6 for both the blood and myocardium. For the blood, the CNNT increased the SNR by 170%, 335%, 371% at R=4, 5 and 6. For the myocardium, the SNR increases were 335%, 634% and 828%.
Conclusion
We developed a convolutional neural network transformer model to recover the SNR for real-time cine imaging at higher acceleration.
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Affiliation(s)
- A Rehman
- National Institutes of Health (NIH) , Bethesda , United States of America
| | - P Kellman
- National Institutes of Health (NIH) , Bethesda , United States of America
| | - H Xue
- National Institutes of Health (NIH) , Bethesda , United States of America
| | - I Pierce
- Barts Health NHS Trust, Barts Heart Centre , London , United Kingdom of Great Britain & Northern Ireland
| | - R H Davies
- Barts Health NHS Trust, Barts Heart Centre , London , United Kingdom of Great Britain & Northern Ireland
| | - M Fontana
- Royal Free London NHS Foundation Trust , London , United Kingdom of Great Britain & Northern Ireland
| | - J C Moon
- Barts Health NHS Trust, Barts Heart Centre , London , United Kingdom of Great Britain & Northern Ireland
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16
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Shiwani H, Hughes RK, Camaioni C, Augusto JB, Knott K, Rosmini S, Burke L, Pierce I, Moon JC, Davies RH. Asymmetric septal thickening is observed in hypertrophic cardiomyopathy mutation carriers without left ventricular hypertrophy: insights from AI analysis. Eur Heart J Cardiovasc Imaging 2022. [DOI: 10.1093/ehjci/jeac141.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): Dr Hughes is supported by the British Heart Foundation (grant number FS/17/82/33222).
Background
Hypertrophic cardiomyopathy (HCM) is a common inherited cardiac disease characterised by left ventricular hypertrophy (LVH), often, with asymmetric septal thickening. Despite the prevalence of inherited mutations present in >50% of cases, there is variable phenotypic expression in those with abnormal sarcomere protein genes. In individuals with abnormal genes but without LVH, we hypothesised that there is subtle asymmetric septal hypertrophy, detectable by the increased precision offered by an artificial intelligence (AI) tool for measuring wall thickness.
Purpose
We explored the septal-lateral ratio measured by AI in individuals with an identified genotype but no left ventricular hypertrophy as a component of sub-clinical HCM.
Methods
43 individuals with identified genotype, but no left ventricular hypertrophy (G+LVH-) and 97 age-, sex- and disease-matched controls underwent CMR. Patients were excluded if they had a maximum wall thickness (MWT) of ≥13mm. A clinically validated AI tool was used to measure the MWT, for each segment in the 16-segment AHA model. The septal-lateral ratio was calculated using the septal segment with the largest MWT and the lateral segment with the largest MWT.
Results
The mean septal-lateral ratio of the G+LVH- patients was 1.22 (SD 0.22) and the mean septal-lateral ratio of the matched controls was 1.14 (SD 0.15) with a statistically significant mean difference of 0.08 (p=0.01). There was no significant difference between the MWT of the G+LVH- patients at 10.3mm (SD 2.2) and healthy volunteers at 10.1mm (SD 1.8) (p = 0.61).
Conclusion
G+LVH- patients have a 7% increase in their septal-lateral ratio compared with age-matched controls despite the lack of difference in the MWT. Using increased precision offered by AI, early features of HCM can be observed in patients without overt LVH.
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Affiliation(s)
- H Shiwani
- University College London , London , United Kingdom of Great Britain & Northern Ireland
| | - R K Hughes
- University College London , London , United Kingdom of Great Britain & Northern Ireland
| | - C Camaioni
- Barts Heart Centre , London , United Kingdom of Great Britain & Northern Ireland
| | - J B Augusto
- University College London , London , United Kingdom of Great Britain & Northern Ireland
| | - K Knott
- University College London , London , United Kingdom of Great Britain & Northern Ireland
| | - S Rosmini
- Barts Heart Centre , London , United Kingdom of Great Britain & Northern Ireland
| | - L Burke
- University College London , London , United Kingdom of Great Britain & Northern Ireland
| | - I Pierce
- Barts Heart Centre , London , United Kingdom of Great Britain & Northern Ireland
| | - J C Moon
- University College London , London , United Kingdom of Great Britain & Northern Ireland
| | - R H Davies
- University College London , London , United Kingdom of Great Britain & Northern Ireland
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17
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Xue H, Rehman A, Davies RH, Moon JC, Fontana M, Kellman P. CNNT DB-LGE: free-breathing dark blood late enhancement imaging using the convolutional neural network transformer speeds acquisition by 50%. Eur Heart J Cardiovasc Imaging 2022. [DOI: 10.1093/ehjci/jeac141.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Supported in part by the Division of Intramural Research of the National Heart, Lung, and Blood Institute, National Institutes of Health (grants Z1A-HL006214-05 and Z1A-HL006242-02).
Background
Dark blood late gadolinium enhancement (DB-LGE) imaging shows superior delineation of myocardial infarction (MI), especially at the sub-endocardial boundary. Our previous study [1] developed a free-breathing DB-LGE with the single shot SSFP readout, phase sensitive inversion recovery (PSIR) reconstruction, and respiratory motion corrected averaging. To compensate the potential signal-to-noise ratio loss, our previous DB-LGE doubled the measurements, thereby increasing the acquisition time.
Purpose
In this study, we developed a deep learning image enhancement model using a novel neural network architecture called the convolutional neural network transformer (CNNT) to improve the image quality of DB-LGE and to reduce the acquisition time by decreasing the number of measurements.
Methods
A novel image enhancement model was developed using a novel network architecture called the Convolutional Neural Network Transformer (CNNT) proposed by us. This architecture is suitable for the 2D+Time CMR acquisition, by exploiting the temporal correlation between images over multiple averages.
The evaluation was first retrospectively conducted on a cohort of 12 patients acquired with the original protocol [1] using the full 16 measurements. For every subject, a complete short-axis stack (typically 12 slices) was acquired to cover the entire left ventricular. The imaging data was reconstructed in three ways. Original: using all acquired 16 measurements. This is our base-line protocol. Original 50%: using only the first 8 measurements. CNNT 50%: using only the first 8 averages, but performing the CNNT deep learning image enhancement before MOCO PSIR reconstruction. Two experienced imaging researchers (PK and MF, >10 years of experience for both) scored all DB-LGE images for the overall quality, diagnostic confidence and delineation of MI/boundaries (5 = excellent, 4 = good, 3 = fair, 2 = poor, and 1 = non-diagnostic). The CNNT DB-LGE was deployed to the MR scanner using the Gadgetron InlineAI [2].
Results
Figure 1 gives examples of DB-LGE with three reconstruction methods. The CNNT image has higher SNR and well delineated MI. The Original images with the longest acquisition have good quality and the Original-50% acquired with 8 measurements are good quality but have reduced SNR. The mean scores for overall image quality, diagnostic confidence and MI delineation of two reviewers were 4.88±0.23, 4.88±0.23, 4.83±0.25 for CNNT and 4.96±0.14, 4.96±0.14, 4.67±0.39 for the original approach. No significant differences were found between the original and the CNNT (P>0.15 for all).
Figure 2 shows an acute MI patient prospectively acquired with the 50% scan time reduction, with and without the CNNT enhancement. The resulting PSIR images well delineate the MVO due to the acute MI, with improved SNR.
Conclusion
A novel CNNT model was proposed and evaluated to speed up the free-breathing MOCO DB LGE by 50% without sacrificing image quality.
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Affiliation(s)
- H Xue
- National Institutes of Health (NIH) , Bethesda , United States of America
| | - A Rehman
- National Institutes of Health (NIH) , Bethesda , United States of America
| | - R H Davies
- Barts Heart Centre , London , United Kingdom of Great Britain & Northern Ireland
| | - J C Moon
- Barts Heart Centre , London , United Kingdom of Great Britain & Northern Ireland
| | - M Fontana
- Royal Free Hospital , London , United Kingdom of Great Britain & Northern Ireland
| | - P Kellman
- National Institutes of Health (NIH) , Bethesda , United States of America
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18
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Shiwani H, Hughes RK, Camaioni C, Augusto JB, Knott K, Rosmini S, Khoury S, Malcolmson J, Kellman P, Xue H, Burke L, Pierce I, Moon JC, Davies RH. Improving the diagnostic accuracy of apical hypertrophic cardiomyopathy using machine learning. Eur Heart J Cardiovasc Imaging 2022. [DOI: 10.1093/ehjci/jeac141.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): Dr Hughes is supported by the British Heart Foundation (grant number FS/17/82/33222).
Introduction
The imaging criteria for diagnosis of apical hypertrophic cardiomyopathy (ApHCM) is a maximum wall thickness (MWT) ≥15mm. CMR enables detection of subtle phenotypic features (e.g. loss of apical tapering, cavity obliteration) and coupled with characteristic electrocardiogram changes, ApHCM can be diagnosed without overt hypertrophy. However, these patients are not captured by current diagnostic criteria.
Purpose
We sought to use a machine learning tool to quantify wall thickness and identify patients with ‘relative’ ApHCM that do not reach current diagnostic thresholds.
Methods
CMR images from 4118 healthy participants from the UK Biobank were segmented automatically with a clinically validated machine learning algorithm and wall thickness measured at all point in the myocardium by solving a solution to Laplace’s equation. MWT were pooled into 16 AHA segments and indexed to body surface area (BSA). The non-indexed and indexed segmental upper limit of normal was calculated as the mean + 3 standard deviations (the equivalent of 95% confidence interval after correcting for multiple [16] comparisons using the Bonferroni method).
Results
73 overt ApHCM subjects (MWT>15mm) and 31 relative ApHCM subjects underwent CMR scanning. In healthy controls, the non-indexed (and indexed) upper limits were calculated for the apical-anterior 10.2mm (5.2 mm/m2), apical-septal 11.1mm (5.6 mm/m2), apical-inferior 10.5mm (5.3 mm/m2) and apical-lateral 10.1mm (5.2 mm/m2) segments. With a non-indexed cut-off, all (73 of 73) overt ApHCM and 84% (26 of 31) relative ApHCM were classified as having an abnormally thick apex. 3% (127 of 4118) of the healthy UK Biobank cohort were classified as abnormal, as expected. Using an indexed cut-off, all overt ApHCM and 87% (27/31) relative ApHCM were classified as abnormal, and 3% (123 of 4118) of the healthy UK Biobank cohort were misclassified.
Conclusion
We can successfully classify 87% of relative ApHCM patients from a normative reference range derived from a large cohort of healthy patients – a significant improvement on existing methods. We show that the specificity and sensitivity is increased when MWT is indexed to BSA. For practical clinical application, we recommend a cut-off of 10mm or an indexed cut-off of 5mm/m2 in any apical segment to diagnose apical LVH. Overt and relative apical HCM examplesHealthy controls AHA maps (non-indexed)
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Affiliation(s)
- H Shiwani
- University College London , London , United Kingdom of Great Britain & Northern Ireland
| | - R K Hughes
- University College London , London , United Kingdom of Great Britain & Northern Ireland
| | - C Camaioni
- Barts Heart Centre , London , United Kingdom of Great Britain & Northern Ireland
| | - J B Augusto
- University College London , London , United Kingdom of Great Britain & Northern Ireland
| | - K Knott
- University College London , London , United Kingdom of Great Britain & Northern Ireland
| | - S Rosmini
- Barts Heart Centre , London , United Kingdom of Great Britain & Northern Ireland
| | - S Khoury
- St George's University of London, Cardiovascular Clinical and Academic Group , London , United Kingdom of Great Britain & Northern Ireland
| | - J Malcolmson
- Barts Heart Centre , London , United Kingdom of Great Britain & Northern Ireland
| | - P Kellman
- National Heart Lung and Blood Institute , Bethesda , United States of America
| | - H Xue
- National Heart Lung and Blood Institute , Bethesda , United States of America
| | - L Burke
- University College London , London , United Kingdom of Great Britain & Northern Ireland
| | - I Pierce
- Barts Heart Centre , London , United Kingdom of Great Britain & Northern Ireland
| | - J C Moon
- University College London , London , United Kingdom of Great Britain & Northern Ireland
| | - R H Davies
- University College London , London , United Kingdom of Great Britain & Northern Ireland
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19
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Hooper S, Wu S, Davies RH, Moon JC, Kellman P, Xue H, Langlotz C, Re C. Speeding up cardiac MR segmentation with semi-supervision: applications in cine imaging. Eur Heart J Cardiovasc Imaging 2022. [DOI: 10.1093/ehjci/jeac141.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Private company. Main funding source(s): This material is based upon work supported by the Google Cloud Research Credits program with the award GCP19980904.
Background
Segmentation is an important postprocessing step in cardiac magnetic resonance (CMR) imaging that enables quantitative assessment of functional parameters. Deep learning can automate the segmentation process, producing accurate contours of cardiac structures while reducing the time required to analyze images and the interobserver variation compared to manual analysis. However, common approaches to training neural networks (NNs) require large amounts of labeled data, which is costly to generate and slows down the development of CMR segmentation NNs for new applications. Semi-supervision is an approach to alleviate this labeling burden by relying on abundant unlabeled data and a smaller amount of labeled data to train NNs.
Purpose
We propose a novel semi-supervised method to train CMR segmentation NNs. We use the proposed method to train NNs to segment the left ventricle in CMR cine images. Ultimately, we aim to show that semi-supervision can drastically reduce the amount of labeled data required to develop machine learning segmentation applications for CMR while maintaining high performance.
Methods
Our dataset consists of 1,208 short-axis cine CMR images and 1,244 long-axis cine CMR images. An expert annotator manually segmented the endocardium on the end-diastolic and end-systolic short-axis and long-axis images and the epicardium on the end-diastolic short-axis images. We split the dataset randomly by patient into 60% training, 20% validation, and 20% testing data. We train semi-supervised segmentation networks using a supervised cross-entropy loss to learn from the labeled training data and a cosine embedding loss in addition to a pseudo-labeling step to learn from the unlabeled training data. To evaluate how performance changes with different amounts of labeled training data, we vary the percent of training data that has labels from <1%-100%. We evaluate the predicted segmentation masks using the Dice coefficient.
Results
Using only 100 labeled image slices, the semi-supervised segmentation NNs achieve a mean Dice coefficient within 1.10% of networks trained with fully labeled training sets, corresponding to >85% reduction in required labeled training data (Table 1). The proposed semi-supervised method improves performance over naïve training by 6.21% for the most limited labeled data setting (i.e., 10 labeled image slices; Figure 1).
Conclusion
We have shown that NNs trained with limited labeled data achieve high performance on left ventricle segmentation in short-axis and long-axis CMR cines. The proposed approach is flexible and broadly applicable to different CMR segmentation tasks, enabling rapid development of segmentation networks for many cardiac structures and applications. Table 1Figure 1
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Affiliation(s)
- S Hooper
- Stanford University , Stanford , United States of America
| | - S Wu
- Stanford University , Stanford , United States of America
| | - R H Davies
- Barts Heart Centre , London , United Kingdom of Great Britain & Northern Ireland
| | - J C Moon
- Barts Heart Centre , London , United Kingdom of Great Britain & Northern Ireland
| | - P Kellman
- National Heart Lung and Blood Institute , Bethesda , United States of America
| | - H Xue
- National Heart Lung and Blood Institute , Bethesda , United States of America
| | - C Langlotz
- Stanford University , Stanford , United States of America
| | - C Re
- Stanford University , Stanford , United States of America
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20
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Lim Y, Kang S, Kim H, Mun J, Roh M, Gulati N, Yang H, Moon J, Won C, Park C. 631 Determining intra-tumoral heterogeneity and immune escape mechanisms in melanoma using spatial transcriptomics. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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21
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Kim Y, Ryu J, Jang Y, Kim D, Bang Y, Choi S, Moon J, Kim H, Shin J. 138 Single-cell RNA-seq of dorsal root ganglion reveals neuroinflammatory process in atopic dermatitis. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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22
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Abratenko P, An R, Anthony J, Arellano L, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Book JY, Camilleri L, Caratelli D, Caro Terrazas I, Cavanna F, Cerati G, Chen Y, Cianci D, Collin GH, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Dennis SR, Detje P, Devitt A, Diurba R, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Evans JJ, Fine R, Fiorentini Aguirre GA, Fitzpatrick RS, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Ge G, Genty V, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hen O, Hilgenberg C, Horton-Smith GA, Hourlier A, Itay R, James C, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kaleko D, Kalra D, Kamp N, Kaneshige N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Lin K, Lister A, Littlejohn BR, Louis WC, Luo X, Manivannan K, Mariani C, Marsden D, Marshall J, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor AF, Moore CD, Mora Lepin L, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Nebot-Guinot M, Neely RK, Newmark DA, Nowak J, Nunes M, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate SF, Patel N, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Prince S, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rice LCJ, Rochester L, Rodriguez Rondon J, Rosenberg M, Ross-Lonergan M, Russell B, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Sinclair J, Smith A, Snider EL, Soderberg M, Söldner-Rembold S, Soleti SR, Spentzouris P, Spitz J, Stancari M, John JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc AM, Tang W, Terao K, Thomson M, Thorpe C, Totani D, Toups M, Tsai YT, Uchida MA, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wright N, Wu W, Yandel E, Yang T, Yarbrough G, Yates LE, Yu HW, Zeller GP, Zennamo J, Zhang C. Search for an Excess of Electron Neutrino Interactions in MicroBooNE Using Multiple Final-State Topologies. Phys Rev Lett 2022; 128:241801. [PMID: 35776450 DOI: 10.1103/physrevlett.128.241801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 04/13/2022] [Indexed: 06/15/2023]
Abstract
We present a measurement of ν_{e} interactions from the Fermilab Booster Neutrino Beam using the MicroBooNE liquid argon time projection chamber to address the nature of the excess of low energy interactions observed by the MiniBooNE Collaboration. Three independent ν_{e} searches are performed across multiple single electron final states, including an exclusive search for two-body scattering events with a single proton, a semi-inclusive search for pionless events, and a fully inclusive search for events containing all hadronic final states. With differing signal topologies, statistics, backgrounds, reconstruction algorithms, and analysis approaches, the results are found to be either consistent with or modestly lower than the nominal ν_{e} rate expectations from the Booster Neutrino Beam and no excess of ν_{e} events is observed.
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Affiliation(s)
- P Abratenko
- Tufts University, Medford, Massachusetts 02155, USA
| | - R An
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - J Anthony
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - L Arellano
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Asaadi
- University of Texas, Arlington, Texas 76019, USA
| | - A Ashkenazi
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - S Balasubramanian
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - B Baller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Barnes
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - G Barr
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - V Basque
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | | | | | - S Berkman
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A Bhanderi
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Bhat
- Syracuse University, Syracuse, New York 13244, USA
| | - M Bishai
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Blake
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - T Bolton
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - J Y Book
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - L Camilleri
- Columbia University, New York, New York 10027, USA
| | - D Caratelli
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Caro Terrazas
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - F Cavanna
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Cerati
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y Chen
- Universität Bern, Bern CH-3012, Switzerland
| | - D Cianci
- Columbia University, New York, New York 10027, USA
| | - G H Collin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J M Conrad
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Convery
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - L Cooper-Troendle
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - J I Crespo-Anadón
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid E-28040, Spain
| | - M Del Tutto
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S R Dennis
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - P Detje
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Devitt
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - R Diurba
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - R Dorrill
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - K Duffy
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S Dytman
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - B Eberly
- University of Southern Maine, Portland, Maine 04104, USA
| | | | | | - J J Evans
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - R Fine
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - G A Fiorentini Aguirre
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | | | - B T Fleming
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - N Foppiani
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - D Franco
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - A P Furmanski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - S Gardiner
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Ge
- Columbia University, New York, New York 10027, USA
| | - V Genty
- Columbia University, New York, New York 10027, USA
| | - S Gollapinni
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - O Goodwin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - E Gramellini
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - P Green
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - H Greenlee
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Gu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - R Guenette
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - P Guzowski
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Hagaman
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - O Hen
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C Hilgenberg
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - A Hourlier
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - R Itay
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C James
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - X Ji
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - L Jiang
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - J H Jo
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - R A Johnson
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - Y-J Jwa
- Columbia University, New York, New York 10027, USA
| | - D Kaleko
- Columbia University, New York, New York 10027, USA
| | - D Kalra
- Columbia University, New York, New York 10027, USA
| | - N Kamp
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - N Kaneshige
- University of California, Santa Barbara, California 93106, USA
| | - G Karagiorgi
- Columbia University, New York, New York 10027, USA
| | - W Ketchum
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Kirby
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Kobilarcik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Kreslo
- Universität Bern, Bern CH-3012, Switzerland
| | - R LaZur
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - I Lepetic
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - K Li
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Y Li
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - K Lin
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - A Lister
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - B R Littlejohn
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - W C Louis
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - X Luo
- University of California, Santa Barbara, California 93106, USA
| | - K Manivannan
- Syracuse University, Syracuse, New York 13244, USA
| | - C Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D Marsden
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Marshall
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - D A Martinez Caicedo
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - K Mason
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mastbaum
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - N McConkey
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - V Meddage
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - T Mettler
- Universität Bern, Bern CH-3012, Switzerland
| | - K Miller
- University of Chicago, Chicago, Illinois 60637, USA
| | - J Mills
- Tufts University, Medford, Massachusetts 02155, USA
| | - K Mistry
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Mogan
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - T Mohayai
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Moon
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Mooney
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - A F Moor
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - C D Moore
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L Mora Lepin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Mousseau
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Murphy
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D Naples
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Navrer-Agasson
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - M Nebot-Guinot
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - R K Neely
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - D A Newmark
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - J Nowak
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - M Nunes
- Syracuse University, Syracuse, New York 13244, USA
| | - O Palamara
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Paolone
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Papadopoulou
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Papavassiliou
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - S F Pate
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - N Patel
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - A Paudel
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - Z Pavlovic
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Piasetzky
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - I D Ponce-Pinto
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - S Prince
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - X Qian
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - J L Raaf
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Radeka
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Rafique
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - M Reggiani-Guzzo
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Ren
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - L C J Rice
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - L Rochester
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Rodriguez Rondon
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - M Rosenberg
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | | | - B Russell
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - G Scanavini
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D W Schmitz
- University of Chicago, Chicago, Illinois 60637, USA
| | - A Schukraft
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Seligman
- Columbia University, New York, New York 10027, USA
| | - M H Shaevitz
- Columbia University, New York, New York 10027, USA
| | - R Sharankova
- Tufts University, Medford, Massachusetts 02155, USA
| | - J Shi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - J Sinclair
- Universität Bern, Bern CH-3012, Switzerland
| | - A Smith
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - E L Snider
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Soderberg
- Syracuse University, Syracuse, New York 13244, USA
| | | | - S R Soleti
- Harvard University, Cambridge, Massachusetts 02138, USA
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - P Spentzouris
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Stancari
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J St John
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Strauss
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Sutton
- Columbia University, New York, New York 10027, USA
| | - S Sword-Fehlberg
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - A M Szelc
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - W Tang
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - K Terao
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - M Thomson
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - C Thorpe
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - D Totani
- University of California, Santa Barbara, California 93106, USA
| | - M Toups
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y-T Tsai
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - M A Uchida
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - T Usher
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - W Van De Pontseele
- Harvard University, Cambridge, Massachusetts 02138, USA
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - B Viren
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Weber
- Universität Bern, Bern CH-3012, Switzerland
| | - H Wei
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - Z Williams
- University of Texas, Arlington, Texas 76019, USA
| | - S Wolbers
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Wongjirad
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Wospakrik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Wresilo
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - N Wright
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - W Wu
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Yandel
- University of California, Santa Barbara, California 93106, USA
| | - T Yang
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Yarbrough
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - L E Yates
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H W Yu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - G P Zeller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Zennamo
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Zhang
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
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Lechner M, Liu J, Counsell N, Gillespie D, Chandrasekharan D, Ta NH, Jumani K, Gupta R, Rao-Merugumala S, Rocke J, Williams C, Tetteh A, Amnolsingh R, Khwaja S, Batterham RL, Yan CH, Treibel TA, Moon JC, Woods J, Brunton R, Boardman J, Paun S, Eynon-Lewis N, Kumar BN, Jayaraj S, Hopkins C, Philpott C, Lund VJ. The COVANOS trial - insight into post-COVID olfactory dysfunction and the role of smell training. Rhinology 2022; 60:188-199. [PMID: 35901492 DOI: 10.4193/rhin21.470] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Olfactory dysfunction is a cardinal symptom of COVID-19 infection, however, studies assessing long-term olfactory dysfunction are limited and no randomised-controlled trials (RCTs) of early olfactory training have been conducted. METHODOLOGY We conducted a prospective, multi-centre study consisting of baseline psychophysical measurements of smell and taste function. Eligible participants were further recruited into a 12-week RCT of olfactory training versus control (safety information). Patient-reported outcomes were measured using an electronic survey and BSIT at baseline and 12 weeks. An additional 1-year follow-up was open to all participants. RESULTS 218 individuals with a sudden loss of sense of smell of at least 4-weeks were recruited. Psychophysical smell loss was observed in only 32.1%; 63 participants were recruited into the RCT. The absolute difference in BSIT improvement after 12 weeks was 0.45 higher in the intervention arm. 76 participants completed 1-year follow-up; 10/19 (52.6%) of participants with an abnormal baseline BSIT test scored below the normal threshold at 1-year, and 24/29 (82.8%) had persistent parosmia. CONCLUSIONS Early olfactory training may be helpful, although our findings are inconclusive. Notably, a number of individuals who completed the 1-year assessment had persistent smell loss and parosmia at 1-year. As such, both should be considered important entities of long-Covid and further studies to improve management are highly warranted.
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Affiliation(s)
- M Lechner
- ENT Department, Barts Health NHS Trust, London, UK; UCL Cancer Institute, University College London, London, UK; Division of Surgery and Interventional Science, University College London, London, UK
| | - J Liu
- UCL Cancer Institute, University College London, London, UK
| | - N Counsell
- CRUK and UCL Cancer Trials Centre, University College London, London, UK
| | - D Gillespie
- UCL Cancer Institute, University College London, London, UK
| | | | - N H Ta
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - K Jumani
- ENT Department, Barts Health NHS Trust, London, UK
| | - R Gupta
- ENT Department, Barts Health NHS Trust, London, UK
| | | | - J Rocke
- ENT Department, Wrightington, Wigan and Leigh NHS Foundation Trust, Wigan, UK
| | - C Williams
- ENT Department, Wrightington, Wigan and Leigh NHS Foundation Trust, Wigan, UK
| | - A Tetteh
- ENT Department, Guy's Hospital, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - R Amnolsingh
- Department of Otolaryngology, Manchester University NHS Foundation Trust, Manchester, UK
| | - S Khwaja
- Department of Otolaryngology, Manchester University NHS Foundation Trust, Manchester, UK
| | - R L Batterham
- Centre for Obesity Research, University College London, London, UK; Bariatric Centre for Weight Management and Metabolic Surgery, University College London Hospitals NHS Foundation Trust, London, UK; National Institute for Health Research, UCLH Biomedical Research Centre, London, UK
| | - C H Yan
- Department of Otolaryngology-Head and Neck Surgery, University of San Diego School of Medicine, San Diego, USA
| | - T A Treibel
- National Institute for Health Research, UCLH Biomedical Research Centre, London, UK; Barts Heart Centre, St. Bartholomew's Hospital, London, UK; Institute of Cardiovascular Sciences, University College London, UK
| | - J C Moon
- National Institute for Health Research, UCLH Biomedical Research Centre, London, UK; Barts Heart Centre, St. Bartholomew's Hospital, London, UK; Institute of Cardiovascular Sciences, University College London, UK
| | - J Woods
- The Norfolk Smell and Taste Clinic, Norfolk
| | - R Brunton
- ENT Department, Guy's Hospital, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | | | - S Paun
- ENT Department, Barts Health NHS Trust, London, UK
| | | | - B N Kumar
- ENT Department, Wrightington, Wigan and Leigh NHS Foundation Trust, Wigan, UK
| | - S Jayaraj
- ENT Department, Barts Health NHS Trust, London, UK
| | - C Hopkins
- ENT Department, Guy's Hospital, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - C Philpott
- Norwich Medical School, University of East Anglia, Norwich, UK; The Norfolk Smell and Taste Clinic, Norfolk and Waveney ENT Service, UK
| | - V J Lund
- Royal National ENT Hospital, University College London Hospital NHS Foundation Trust, London, UK
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Vijapurapu R, Maanja M, Schlegel T, Augusto J, Kurdi H, Moon JC, Hughes DA, Geberhiwot T, Ugander M, Steeds RP, Kozor R. Advanced electrocardiography predicts early cardiac involvement and incident arrhythmias in Fabry disease. Europace 2022. [DOI: 10.1093/europace/euac053.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Background
Fabry disease is an X-linked disorder, with cardiovascular involvement characterised by progressive myocardial sphingolipid deposition. Cardiac disease is a major contributor to morbidity and mortality. Cardiac magnetic resonance (CMR) with T1 mapping and advanced electrocardiography (A-ECG) offer both diagnostic and prognostic potential.
Purpose
To evaluate the predictive power of A-ECG markers in identifying: 1) early cardiac involvement defined as low myocardial T1 on CMR, and 2) adverse cardiovascular outcomes defined as any arrhythmia requiring therapy, atrial fibrillation, hospitalisation for heart failure or mortality.
Methods
Patients included in this longitudinal, multi-centre study underwent same-day standard resting 12-lead ECG and CMR. CMR included standard cine imaging, T1 mapping with modified Look Locker inversion recovery (MOLLI, 5s(3s)3s), and late gadolinium enhancement (LGE). ECG digital files were analysed using in-house A-ECG software. A-ECG analysis included conventional ECG measures, derived vectorcardiographic measures, and singular value decomposition measures of waveform complexity. Significant A-ECG variables were identified using stepwise forward regression and incorporated in a multivariable logistic regression A-ECG score. A Youden index was applied to identify best threshold score and bootstrapping performed to calculate the area under the receiver operating characteristics curve (AUC), sensitivity, specificity, and 95% confidence intervals (CI).
Results
Among included patients (n=155, 40% male, age 46±14 years, 39% on enzyme replacement therapy), left ventricular mass index was higher in males compared to females (106 vs. 59 g/m2, p<0.001), 80% of patients had myocardial native T1 below the local reference range (933 vs. 968 ms, p=0.06), and 51% (70/136) had focal LGE. Multivariable A-ECG scores for detecting low T1, any arrhythmia, or atrial fibrillation had an AUC [95%CI], sensitivity, and specificity of 0.82 [0.75-0.89], 72 [55-95]%, 85 [66-71]%; 0.89 [0.82-0.95], 82 [68-94]%, 88 [70-96]%; and 0.89 [0.80-0.96], 92 [77-100]%, 83 [76-92]%, respectively, Figure 1. No predictors of heart failure hospitalisation or mortality were found.
Conclusion
A-ECG analysis of the resting 12-lead ECG has good diagnostic performance for predicting early myocardial involvement and the occurrence of arrhythmias in Fabry disease. This supports the use of A-ECG both as a screening tool to diagnose early cardiac disease, and for identifying those at risk of adverse arrhythmic outcomes.
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Affiliation(s)
- R Vijapurapu
- Queen Elizabeth Hospital Birmingham, Cardiology, Birmingham, United Kingdom of Great Britain & Northern Ireland
| | - M Maanja
- Karolinska University Hospital, Department of Clinical Physiology, Stockholm, Sweden
| | - T Schlegel
- Karolinska University Hospital, Department of Clinical Physiology, Stockholm, Sweden
| | - J Augusto
- Barts Heart Centre, Department of Cardiology, London, United Kingdom of Great Britain & Northern Ireland
| | - H Kurdi
- Barts Heart Centre, Department of Cardiology, London, United Kingdom of Great Britain & Northern Ireland
| | - JC Moon
- Barts Heart Centre, Department of Cardiology, London, United Kingdom of Great Britain & Northern Ireland
| | - DA Hughes
- Royal Free Hospital, Lysosomal Storage Disorder Unit, London, United Kingdom of Great Britain & Northern Ireland
| | - T Geberhiwot
- Queen Elizabeth Hospital Birmingham, Endocrinology, Birmingham, United Kingdom of Great Britain & Northern Ireland
| | - M Ugander
- Karolinska University Hospital, Department of Clinical Physiology, Stockholm, Sweden
| | - RP Steeds
- Queen Elizabeth Hospital Birmingham, Cardiology, Birmingham, United Kingdom of Great Britain & Northern Ireland
| | - R Kozor
- Royal North Shore Hospital, Kolling Institute, Sydney, Australia
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25
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Moon J. PD-0491 Resectable cervical esophageal cancer : Surgery or definitive chemoradiotherapy with dose escalation. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)02862-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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26
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Abratenko P, An R, Anthony J, Arellano L, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Book JY, Camilleri L, Caratelli D, Caro Terrazas I, Cavanna F, Cerati G, Chen Y, Cianci D, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Dennis SR, Detje P, Devitt A, Diurba R, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Evans JJ, Fine R, Fiorentini Aguirre GA, Fitzpatrick RS, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hen O, Hilgenberg C, Horton-Smith GA, Hourlier A, Itay R, James C, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kalra D, Kamp N, Kaneshige N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, Lepetic I, Li K, Li Y, Lin K, Littlejohn BR, Louis WC, Luo X, Manivannan K, Mariani C, Marsden D, Marshall J, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor AF, Moore CD, Mora Lepin L, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Nebot-Guinot M, Neely RK, Newmark DA, Nowak J, Nunes M, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate SF, Patel N, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Prince S, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rice LCJ, Rochester L, Rodriguez Rondon J, Rosenberg M, Ross-Lonergan M, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Sinclair J, Smith A, Snider EL, Soderberg M, Söldner-Rembold S, Spentzouris P, Spitz J, Stancari M, John JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc AM, Tang W, Terao K, Thorpe C, Totani D, Toups M, Tsai YT, Uchida MA, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wright N, Wu W, Yandel E, Yang T, Yarbrough G, Yates LE, Yu HW, Zeller GP, Zennamo J, Zhang C. First Measurement of Energy-Dependent Inclusive Muon Neutrino Charged-Current Cross Sections on Argon with the MicroBooNE Detector. Phys Rev Lett 2022; 128:151801. [PMID: 35499871 DOI: 10.1103/physrevlett.128.151801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 03/09/2022] [Indexed: 06/14/2023]
Abstract
We report a measurement of the energy-dependent total charged-current cross section σ(E_{ν}) for inclusive muon neutrinos scattering on argon, as well as measurements of flux-averaged differential cross sections as a function of muon energy and hadronic energy transfer (ν). Data corresponding to 5.3×10^{19} protons on target of exposure were collected using the MicroBooNE liquid argon time projection chamber located in the Fermilab booster neutrino beam with a mean neutrino energy of approximately 0.8 GeV. The mapping between the true neutrino energy E_{ν} and reconstructed neutrino energy E_{ν}^{rec} and between the energy transfer ν and reconstructed hadronic energy E_{had}^{rec} are validated by comparing the data and Monte Carlo (MC) predictions. In particular, the modeling of the missing hadronic energy and its associated uncertainties are verified by a new method that compares the E_{had}^{rec} distributions between data and a MC prediction after constraining the reconstructed muon kinematic distributions, energy, and polar angle to those of data. The success of this validation gives confidence that the missing energy in the MicroBooNE detector is well modeled and underpins first-time measurements of both the total cross section σ(E_{ν}) and the differential cross section dσ/dν on argon.
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Affiliation(s)
- P Abratenko
- Tufts University, Medford, Massachusetts 02155, USA
| | - R An
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - J Anthony
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - L Arellano
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Asaadi
- University of Texas, Arlington, Texas 76019, USA
| | | | - S Balasubramanian
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - B Baller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Barnes
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - G Barr
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - V Basque
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | | | | | - S Berkman
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A Bhanderi
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Bhat
- Syracuse University, Syracuse, New York 13244, USA
| | - M Bishai
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Blake
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - T Bolton
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - J Y Book
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - L Camilleri
- Columbia University, New York, New York 10027, USA
| | - D Caratelli
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Caro Terrazas
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - F Cavanna
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Cerati
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y Chen
- Universität Bern, Bern CH-3012, Switzerland
| | - D Cianci
- Columbia University, New York, New York 10027, USA
| | - J M Conrad
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Convery
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - L Cooper-Troendle
- Department of Physics, Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - J I Crespo-Anadón
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid E-28040, Spain
| | - M Del Tutto
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S R Dennis
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - P Detje
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Devitt
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - R Diurba
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - R Dorrill
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - K Duffy
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S Dytman
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - B Eberly
- University of Southern Maine, Portland, Maine 04104, USA
| | | | - J J Evans
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - R Fine
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - G A Fiorentini Aguirre
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | | | - B T Fleming
- Department of Physics, Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - N Foppiani
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - D Franco
- Department of Physics, Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - A P Furmanski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - S Gardiner
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Ge
- Columbia University, New York, New York 10027, USA
| | - S Gollapinni
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - O Goodwin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - E Gramellini
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - P Green
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - H Greenlee
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Gu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - R Guenette
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - P Guzowski
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Hagaman
- Department of Physics, Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - O Hen
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C Hilgenberg
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - A Hourlier
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - R Itay
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C James
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - X Ji
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - L Jiang
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - J H Jo
- Department of Physics, Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - R A Johnson
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - Y-J Jwa
- Columbia University, New York, New York 10027, USA
| | - D Kalra
- Columbia University, New York, New York 10027, USA
| | - N Kamp
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - N Kaneshige
- University of California, Santa Barbara, California 93106, USA
| | - G Karagiorgi
- Columbia University, New York, New York 10027, USA
| | - W Ketchum
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Kirby
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Kobilarcik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Kreslo
- Universität Bern, Bern CH-3012, Switzerland
| | - I Lepetic
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - K Li
- Department of Physics, Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - Y Li
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - K Lin
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - B R Littlejohn
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - W C Louis
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - X Luo
- University of California, Santa Barbara, California 93106, USA
| | - K Manivannan
- Syracuse University, Syracuse, New York 13244, USA
| | - C Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D Marsden
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Marshall
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - D A Martinez Caicedo
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - K Mason
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mastbaum
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - N McConkey
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - V Meddage
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - T Mettler
- Universität Bern, Bern CH-3012, Switzerland
| | - K Miller
- University of Chicago, Chicago, Illinois 60637, USA
| | - J Mills
- Tufts University, Medford, Massachusetts 02155, USA
| | - K Mistry
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Mogan
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - T Mohayai
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Moon
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Mooney
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - A F Moor
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - C D Moore
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L Mora Lepin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Mousseau
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Murphy
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D Naples
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Navrer-Agasson
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - M Nebot-Guinot
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - R K Neely
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - D A Newmark
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - J Nowak
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - M Nunes
- Syracuse University, Syracuse, New York 13244, USA
| | - O Palamara
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Paolone
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Papadopoulou
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Papavassiliou
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - S F Pate
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - N Patel
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - A Paudel
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - Z Pavlovic
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | | | - I D Ponce-Pinto
- Department of Physics, Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - S Prince
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - X Qian
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - J L Raaf
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Radeka
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Rafique
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - M Reggiani-Guzzo
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Ren
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - L C J Rice
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - L Rochester
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Rodriguez Rondon
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - M Rosenberg
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | | | - G Scanavini
- Department of Physics, Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - D W Schmitz
- University of Chicago, Chicago, Illinois 60637, USA
| | - A Schukraft
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Seligman
- Columbia University, New York, New York 10027, USA
| | - M H Shaevitz
- Columbia University, New York, New York 10027, USA
| | - R Sharankova
- Tufts University, Medford, Massachusetts 02155, USA
| | - J Shi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - J Sinclair
- Universität Bern, Bern CH-3012, Switzerland
| | - A Smith
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - E L Snider
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Soderberg
- Syracuse University, Syracuse, New York 13244, USA
| | | | - P Spentzouris
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Stancari
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J St John
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Strauss
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Sutton
- Columbia University, New York, New York 10027, USA
| | - S Sword-Fehlberg
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - A M Szelc
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - W Tang
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - K Terao
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C Thorpe
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - D Totani
- University of California, Santa Barbara, California 93106, USA
| | - M Toups
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y-T Tsai
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - M A Uchida
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - T Usher
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - W Van De Pontseele
- Harvard University, Cambridge, Massachusetts 02138, USA
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - B Viren
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Weber
- Universität Bern, Bern CH-3012, Switzerland
| | - H Wei
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - Z Williams
- University of Texas, Arlington, Texas 76019, USA
| | - S Wolbers
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Wongjirad
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Wospakrik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Wresilo
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - N Wright
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - W Wu
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Yandel
- University of California, Santa Barbara, California 93106, USA
| | - T Yang
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Yarbrough
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - L E Yates
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H W Yu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - G P Zeller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Zennamo
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Zhang
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
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27
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Abratenko P, An R, Anthony J, Arellano L, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Book JY, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Cianci D, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Dennis SR, Detje P, Devitt A, Diurba R, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Evans JJ, Fine R, Fiorentini Aguirre GA, Fitzpatrick RS, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hen O, Hilgenberg C, Horton-Smith GA, Hourlier A, Itay R, James C, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kalra D, Kamp N, Kaneshige N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Lin K, Littlejohn BR, Louis WC, Luo X, Manivannan K, Mariani C, Marsden D, Marshall J, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor AF, Moore CD, Mora Lepin L, Mousseau J, Murphy M, Murrells R, Naples D, Navrer-Agasson A, Nebot-Guinot M, Neely RK, Newmark DA, Nowak J, Nunes M, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate SF, Patel N, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Prince S, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rice LCJ, Rochester L, Rodriguez Rondon J, Rosenberg M, Ross-Lonergan M, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Sinclair J, Smith A, Snider EL, Soderberg M, Söldner-Rembold S, Spentzouris P, Spitz J, Stancari M, John JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc AM, Tang W, Terao K, Thorpe C, Totani D, Toups M, Tsai YT, Uchida MA, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wright N, Wu W, Yandel E, Yang T, Yarbrough G, Yates LE, Yu HW, Zeller GP, Zennamo J, Zhang C. Search for Neutrino-Induced Neutral-Current Δ Radiative Decay in MicroBooNE and a First Test of the MiniBooNE Low Energy Excess under a Single-Photon Hypothesis. Phys Rev Lett 2022; 128:111801. [PMID: 35363017 DOI: 10.1103/physrevlett.128.111801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 02/10/2022] [Indexed: 06/14/2023]
Abstract
We report results from a search for neutrino-induced neutral current (NC) resonant Δ(1232) baryon production followed by Δ radiative decay, with a ⟨0.8⟩ GeV neutrino beam. Data corresponding to MicroBooNE's first three years of operations (6.80×10^{20} protons on target) are used to select single-photon events with one or zero protons and without charged leptons in the final state (1γ1p and 1γ0p, respectively). The background is constrained via an in situ high-purity measurement of NC π^{0} events, made possible via dedicated 2γ1p and 2γ0p selections. A total of 16 and 153 events are observed for the 1γ1p and 1γ0p selections, respectively, compared to a constrained background prediction of 20.5±3.65(syst) and 145.1±13.8(syst) events. The data lead to a bound on an anomalous enhancement of the normalization of NC Δ radiative decay of less than 2.3 times the predicted nominal rate for this process at the 90% confidence level (C.L.). The measurement disfavors a candidate photon interpretation of the MiniBooNE low-energy excess as a factor of 3.18 times the nominal NC Δ radiative decay rate at the 94.8% C.L., in favor of the nominal prediction, and represents a greater than 50-fold improvement over the world's best limit on single-photon production in NC interactions in the sub-GeV neutrino energy range.
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Affiliation(s)
- P Abratenko
- Tufts University, Medford, Massachusetts 02155, USA
| | - R An
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - J Anthony
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - L Arellano
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Asaadi
- University of Texas, Arlington, Texas 76019, USA
| | | | - S Balasubramanian
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - B Baller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Barnes
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - G Barr
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - V Basque
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | | | | | - S Berkman
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A Bhanderi
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Bhat
- Syracuse University, Syracuse, New York 13244, USA
| | - M Bishai
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Blake
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - T Bolton
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - J Y Book
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - L Camilleri
- Columbia University, New York, New York 10027, USA
| | - D Caratelli
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Caro Terrazas
- Colorado State University, Fort Collins, Colorado 80523, USA
| | | | - F Cavanna
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Cerati
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y Chen
- Universität Bern, Bern CH-3012, Switzerland
| | - D Cianci
- Columbia University, New York, New York 10027, USA
| | - J M Conrad
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Convery
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - L Cooper-Troendle
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - J I Crespo-Anadón
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid E-28040, Spain
| | - M Del Tutto
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S R Dennis
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - P Detje
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Devitt
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - R Diurba
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - R Dorrill
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - K Duffy
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S Dytman
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - B Eberly
- University of Southern Maine, Portland, Maine 04104, USA
| | | | - J J Evans
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - R Fine
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - G A Fiorentini Aguirre
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | | | - B T Fleming
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - N Foppiani
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - D Franco
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - A P Furmanski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - S Gardiner
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Ge
- Columbia University, New York, New York 10027, USA
| | - S Gollapinni
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - O Goodwin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - E Gramellini
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - P Green
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - H Greenlee
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Gu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - R Guenette
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - P Guzowski
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Hagaman
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - O Hen
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C Hilgenberg
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - A Hourlier
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - R Itay
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C James
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - X Ji
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - L Jiang
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - J H Jo
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - R A Johnson
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - Y-J Jwa
- Columbia University, New York, New York 10027, USA
| | - D Kalra
- Columbia University, New York, New York 10027, USA
| | - N Kamp
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - N Kaneshige
- University of California, Santa Barbara, California 93106, USA
| | - G Karagiorgi
- Columbia University, New York, New York 10027, USA
| | - W Ketchum
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Kirby
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Kobilarcik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Kreslo
- Universität Bern, Bern CH-3012, Switzerland
| | - R LaZur
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - I Lepetic
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - K Li
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Y Li
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - K Lin
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - B R Littlejohn
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - W C Louis
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - X Luo
- University of California, Santa Barbara, California 93106, USA
| | - K Manivannan
- Syracuse University, Syracuse, New York 13244, USA
| | - C Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D Marsden
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Marshall
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - D A Martinez Caicedo
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - K Mason
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mastbaum
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - N McConkey
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - V Meddage
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - T Mettler
- Universität Bern, Bern CH-3012, Switzerland
| | - K Miller
- University of Chicago, Chicago, Illinois 60637, USA
| | - J Mills
- Tufts University, Medford, Massachusetts 02155, USA
| | - K Mistry
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Mogan
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - T Mohayai
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Moon
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Mooney
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - A F Moor
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - C D Moore
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L Mora Lepin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Mousseau
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Murphy
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - R Murrells
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - D Naples
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Navrer-Agasson
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - M Nebot-Guinot
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - R K Neely
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - D A Newmark
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - J Nowak
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - M Nunes
- Syracuse University, Syracuse, New York 13244, USA
| | - O Palamara
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Paolone
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Papadopoulou
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Papavassiliou
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - S F Pate
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - N Patel
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - A Paudel
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - Z Pavlovic
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | | | - I D Ponce-Pinto
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - S Prince
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - X Qian
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - J L Raaf
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Radeka
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Rafique
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - M Reggiani-Guzzo
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Ren
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - L C J Rice
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - L Rochester
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Rodriguez Rondon
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - M Rosenberg
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | | | - G Scanavini
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D W Schmitz
- University of Chicago, Chicago, Illinois 60637, USA
| | - A Schukraft
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Seligman
- Columbia University, New York, New York 10027, USA
| | - M H Shaevitz
- Columbia University, New York, New York 10027, USA
| | - R Sharankova
- Tufts University, Medford, Massachusetts 02155, USA
| | - J Shi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - J Sinclair
- Universität Bern, Bern CH-3012, Switzerland
| | - A Smith
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - E L Snider
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Soderberg
- Syracuse University, Syracuse, New York 13244, USA
| | | | - P Spentzouris
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Stancari
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J St John
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Strauss
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Sutton
- Columbia University, New York, New York 10027, USA
| | - S Sword-Fehlberg
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - A M Szelc
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - W Tang
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - K Terao
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C Thorpe
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - D Totani
- University of California, Santa Barbara, California 93106, USA
| | - M Toups
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y-T Tsai
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - M A Uchida
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - T Usher
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - W Van De Pontseele
- Harvard University, Cambridge, Massachusetts 02138, USA
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - B Viren
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Weber
- Universität Bern, Bern CH-3012, Switzerland
| | - H Wei
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - Z Williams
- University of Texas, Arlington, Texas 76019, USA
| | - S Wolbers
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Wongjirad
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Wospakrik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Wresilo
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - N Wright
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - W Wu
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Yandel
- University of California, Santa Barbara, California 93106, USA
| | - T Yang
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Yarbrough
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - L E Yates
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H W Yu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - G P Zeller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Zennamo
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Zhang
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
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Johnson G, Vergis A, Unger B, Park J, Gillman L, Hickey K, Pace D, Azin A, Guidolin K, Lam-Tin-Cheung K, Chadi S, Quereshy F, Guidolin K, Catton J, Rubin B, Bell J, Marangos J, Heesters A, Stuart-McEwan T, Quereshy F, Shariff F, Wright F, Ahmed N, Nadler A, Hallet J, Gentles J, Chen L, Hwang H, Parapini M, Hirpara D, Sidhu R, Scott T, Karimuddin A, Guo R, Nguyen A, Osborn J, Wiseman S, Nabata K, Ertel E, Hwang H, Lenet T, Baker L, Park L, Vered M, Zahrai A, Shorr R, Davis A, McIsaac D, Tinmouth A, Fergusson D, Martel G, Nabata K, Rummel S, Stefic-Cubic M, Karimuddin A, Stewart M, Melck A, McKechnie T, Anpalagan T, Ichhpuniani S, Lee Y, Ramji K, Eskicioglu C, Zhu A, Deng S, Greene B, Tsang M, Palter V, Jayaraman S, McKechnie T, Mann A, Tittley J, Cadeddu M, Nguyen M, Madani A, Pasternak J, McKechnie T, Ramji K, Hong D, Qu L, Istl A, Tang E, Gray D, Zuckerman J, Coburn N, Callum J, McLeod R, Pearsall E, Lin Y, Turgeon A, Martel G, Hallet J, Mahar A, Kammili A, Kriviraltcheva-Kaneva P, Lee L, Cools-Lartigue J, Ferri L, Mueller C, Zuckerman J, Haas B, Tillman B, Guttman M, Chesney T, Zuk V, Mahar A, Hsu A, Chan W, Vasdev R, Coburn N, Hallet J, D'Souza K, Huynh C, Ling LCJ, Warburton R, Hwang H, Hameed M, Glass L, Williamson H, Murphy P, Tang E, Leslie K, Hawel J, Kerr L, Zablotny S, Roldan H, He W, Jiang X, Zheng B, Lee L, Fiore J, Feldman L, Fried G, Mueller C, Valanci S, Balvardi S, Cipolla J, Kaneva P, Demyttenaere S, Boutros M, Lee L, Feldman L, Fiore J, Balvardi S, Alhashemi M, Cipolla J, Lee L, Fiore J, Feldman L, Miles A, Purich K, Verhoeff K, Shapiro J, Bigam D, Kung J, Fecso A, Chesney T, Mosko J, Skubleny D, Hamilton P, Ghosh S, Widder S, Schiller D, Do U, El Kefraoui C, Pook M, Barone N, Balvardi S, Montgomery H, Nguyen-Powanda P, Rajabiyazdi F, Elhaj H, Lapointe-Gagner M, Olleik G, Kaneva P, Antoun A, Safa N, Di Lena E, Meterissian S, Meguerditchian A, Fried G, Alhashemi M, Lee F, Baldini G, Feldman L, Fiore J, Serrano Aybar PE, Parpia S, Ruo L, Tywonek K, Lee S, O'Neill C, Faisal N, Alfayyadh A, Gundayao M, Meyers BM, Habashi R, Kruse C, McKechnie T, Levin M, Aldrich K, Grantcharov T, Langerman A, Forbes H, Anantha R, Fawcett V, Hetherington A, Pravong V, Gervais M, Rakovich G, Selvam R, Hu R, Musselman R, Raiche I, Moloo H, Liu R, Elnahas A, Alkhamesi N, Hawel J, Tang E, Alnumay A, Schlachta C, Walser E, Zhang C, Cristancho S, Ott M, Lee A, Niu B, Balaa F, Gawad N, Ren K, Qiu Y, Hamann K, How N, Leveille C, Davidson A, Eqbal A, Sardiwalla Y, Korostensky M, McKechnie T, Lee E, Yang I, Ren K, Muaddi H, Stukel T, de Mestral C, Nathens A, Karanicolas P, Frigault J, Lemieux S, Breton D, Bouchard P, Bouchard A, Grégoire R, Letarte F, Bouchard G, Drolet S, Frigault J, Avoine S, Drolet S, Letarte F, Bouchard A, Gagné J, Thibault C, Grégoire R, Jutras Bouthillette N, Gosselin M, Bouchard P, Rosenzveig A, Stuleanu T, Jarrar A, Kolozsvari N, Skelhorne-Gross G, Nenshi R, Jerath A, Gomez D, Singh K, Amir T, Liu E, Farquharson S, Mao R, Lan L, Yan J, Allard-Coutu A, Mierzwa A, Tin R, Brisebois R, Bradley N, Wigen R, Walser E, Hartford L, Van Koughnett J, Vogt K, Hilsden R, Parry N, Allen L, Leslie K, Raskin R, Jones J, Neumann K, Dwyer C, Strickland M, Bradley N, O'Dochartaigh D, Lobay K, Kabaroff A, Chang E, Widder S, Anantha R, Sun W, Beck J, Anantha R, Liu R, Davidson J, Jones S, Van Hooren T, Van Koughnett J, Ott M, Schmitz E, Raiche I, Sun W, El Hafid M, Dang J, Mocanu V, Lutzak G, Sultanian R, Wong C, Karmali S, Schmitz E, Petrera M, Pickell M, Auer R, Patro N, Li B, Lee Y, Wilson H, Mocanu V, Sun W, Dang J, Jogiat U, Kung J, Switzer N, Karmali S, Wong C, Li C, Al Hinai A, Cieply A, Hawes H, Joos E, Saleh A, Li C, Saleh A, Engels P, Drung J, Allen L, Leslie K, Pang G, Kwong M, Schlachta C, Alkhamesi N, Hawel J, Elnahas A, Guidolin K, Ellsmere J, Chadi S, Quereshy F, Chang D, Hutter M, Spence R, Abou Khalil M, Boutros M, Vasilevsky C, Morin N, Longtin Y, Liberman S, Demyttenaere S, Montpetit P, Poirier M, Mukherjee K, 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Sisson D, Donahoe L, Bedard P, Hansen A, De Perrot M, Alghamedi A, Simone A, Begum H, Hanna W, Shargall Y, Turner S, Huang J, Lai H, Bedard E, Shargall Y, Murthy S, Lin J, Darling G, Malthaner R, Kidane B, Seely A, Li H, Crowther M, Linkins L, Lau E, Schneider L, Hanna W, Finley C, Agzarian J, Douketis J, Greenberg B, Gupta V, Allen-Avodabo C, Davis L, Zhao H, Kidane B, Darling G, Coburn N, Huynh C, Cools-Lartigue J, Ferri L, Najmeh S, Sirois C, Mulder D, Spicer J, Al Rawahi A, Aftab Abdul S, Nguyen D, Anstee C, Delic E, Gilbert S, Maziak D, Villeneuve P, Seely A, Sisson D, Sasewich H, Islam T, Low D, Darling G, Turner S, Humer M, Abdul S, Nguyen D, Al Rawahi A, Anstee C, Delic E, Gilbert S, Villeneuve P, Maziak D, Seely A, Le Nguyen D, Aftab Abdul S, Al Rawahi A, Anstee C, Delic E, Gilbert S, Villeneuve P, Maziak D, Seely A, Patel Y, Kay M, Churchill I, Sullivan K, Shargall Y, Shayegan B, Adili A, Hanna W, Kaafarani M, Huynh C, Chouiali F, Muthukrishnan N, Maleki F, Ovens K, Gold M, 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Hochman D, Helewa R, Johnson G, Robertson R, Vergis A, Johnson G, Vergis A, Singh H, Park J, Helewa R, Azin A, Cahill C, Lipson M, Afzal A, Maclean A, Wong C, Roen S, Buie W, McKechnie T, Anpalagan T, Chu M, Lee Y, Amin N, Hong D, Eskicioglu C, McKechnie T, Ramji K, Kruse C, Jaffer H, Rebello R, Amin N, Doumouras A, Hong D, Eskicioglu C, Hajjar R, Oliero M, Cuisiniere T, Fragoso G, Calvé A, Djediai S, Annabi B, Richard C, Santos M, Purich K, Zhou Y, Dodd S, Ring B, Yuan Y, White J, Garfinkle R, Dell'Aniello S, Bhatnagar S, Morin N, Ghitulescu G, Faria J, Vasilevsky C, Brassard P, Boutros M, Garfinkle R, Salama E, Amar-Zifkin A, Morin N, Ghitulescu G, Faria J, Vasilevsky C, Boutros M, Talwar G, Daniel R, McKechnie T, Levine O, Eskicioglu C, AlSulaim H, Alqahtani M, Garfinkle R, Al-Masrouri S, Vasilevsky C, Morin N, Boutros M, McKechnie T, Chen A, Patel A, Lee Y, Doumouras A, Hong D, Eskicioglu C, Brissette V, Al Busaidi N, Rajabiyazdi F, Moon J, Demian M, Vasilevsky C, Morin N, Boutros M, Selvam R, Moloo H, MacRae H, Alam F, Raiche I, Holland J, Cwintal M, Rigas G, Vasilevsky C, Morin N, Ghitulescu G, Faria J, Pang A, Boutros M, Holland J, Moon J, Marinescu D, Morin N, Ghitulescu G, Pang A, Vasilevsky C, Boutros M, Brown C, Karimuddin A, Raval M, Phang P, Ghuman A, Li M, Muncner S, Mihajlovic I, Dykstra M, Snelgrove R, Wang H, Monton O, Smith A, Moon J, Demian M, Garfinkle R, Vasilevsky C, Rajabiyazdi F, Boutros M, AlAamer O, AlSelaim N, AlMalki M, Al-Osail A, Ruxton R, Manuel P, Mohamed F, Motamedi MK, Serahati S, Rajendran L, Brown C, Raval M, Karimuddin A, Ghuman A, Phang T, Caminsky N, Moon J, Rajabiyazdi F, Chadi S, Alavi K, Paquette I, MacLean T, Wexner S, Liberman S, Steele S, Park J, Patel S, Bordeianou L, Auer R, Sylla P, Morin N, Ghuman A, Boutros M, Bayat Z, Kennedy E, Victor C, Govindarajan A, Liang J, Vasilevsky C, Pang A, Ghitulescu G, Faria J, Morin N, Boutros M, Marinescu D, Roy H, Baig Z, Karimmudin A, Raval M, Brown C, Phang T, Gill D, Ginther N, Moon J, Marinescu D, Pang A, Ghitulescu G, Faria J, Morin N, Vasilevsky C, Boutros M, Moon J, Pang A, Ghitulescu G, Faria J, Morin N, Vasilevsky C, Boutros M, Salama E, Alrashid F, Vasilevsky C, Ghitulescu G, Faria J, Morin N, Boutros M, Wiseman V, Zhang L, MacDonald P, Merchant SM, Wattie Barnett K, Caycedo-Marulanda A, Patel SV, Harra Z, Vasilevsky C, Ghitulescu G, Morin N, Boutros M, Pang A, Hegagi M, Alqahtani M, Morin N, Ghitulescu G, Vasilevsky C, Boutros M, Alghaithi N, Marinescu D, Al-Masrouri S, Pang A, Vasilevsky C, Boutros M, Papillon E, Kasteel N, Kaur G, Bindra S, Malhotra A, Graham C, MacLean A, Beck P, Jijon H, Ferraz J, Buie W, Szwimer R, Moon J, Demian M, Pang A, Morin N, Vasilevsky C, Rajabiyazdi F, Boutros M, Azin A, Merchant S, Kong W, Gyawali B, Hanna T, Chung W, Nanji S, Patel S, Booth C, Li V, Awan A, Serrano P, Jacobson M, Chanco M, Wen V, Singh N, Peiris L, Pasieka J, Ghatage P, Buie D, MacLean T, Bouchard-Fortier A, Mack L, Marini W, Zheng W, Swallow C, Reedijk M, DiPasquale A, Peiris L, Prus-Czrnecka Z, Delmar L, Gagnon N, Villiard R, Martel É, Cadrin-Chênevert A, Ledoux É, Racicot C, Mysuria S, Bazzarelli A, Pao J, Chen L, Zhang M, McKevitt E, Warburton R, Kuusk U, Van Laeken N, Bovill E, Isaac K, Dingee C, Hunter-Smith A, Cuthbert C, Fergus K, Barbera L, Efegoma Y, Howell D, Isherwood S, Levasseur N, Scheer A, Simmons C, Srikantham A, Temple-Orberle C, Xu Y, Metcalfe K, Quan M, Alqaydi A, la J, Merchant S, Digby G, Pravong V, Brind'Amour A, Sidéris L, Dubé P, De Guerke L, Fortin S, Auclair M, Trilling B, Tremblay J, Di Lena É, Hopkins B, Wong S, Meterissian S, Di Lena É, Barone N, Hopkins B, Dumitra S, Kaneva P, Fiore J, Meterissian S, Mysuria S, McKevitt E, Warburton R, Chen L, Bazzarelli A, Pao J, Bovill E, Zhang M, Kuusk U, Isaac K, Van Laeken N, Dingee C, Kapur H, McKevitt E, Warburton R, Pao J, Dingee C, Bazarelli A, Kuusk U, Chen L, Cadili L, DeGirolamo K, McKevitt E, Pao J, Dingee C, Bazzarelli A, Warburton R, Ng D, Ali A, Eymae D, Lee K, Brar S, Conner J, Magalhaes M, Swallow C, Allen K, Baliski C, Cyr D, Sari A, Messenger D, Driman D, Assarzadegan N, Juda A, Swallow C, Kennedy E, Brar M, Conner J, Kirsch R, Allard-Coutu A, Singh K, Lamontagne A, Gamache Y, Allard-Coutu A, Mardinger C, Lee C, Duckworth R, Brindle M, Fraulin F, Austen L, Kortbeek J, Hyndman M, Nguyen D, Jamjoum G, Meguerditchian A, Langer S, Yuan Xu Y, Kong S, Quan M, Lim D, Retrouvey H, Kerrebijn I, Butler K, O'Neill A, Cil T, Zhong T, Hofer S, McCready D, Metcalfe K, Lim D, Greene B, Look Hong N, Parapini M, Skipworth J, Mah A, Desai S, Chung S, Scudamore C, Segedi M, Vasilyeva E, Li J, Kim P, Verhoeff K, Deprato A, Purich K, Kung J, Bigam D, Dajani K, Lenet T, Gilbert R, Smoot R, Martel G, Tzeng C, Rocha F, Yohanathan L, Cleary S, Bertens K, Reyna-Sepulveda F, Badrudin D, Gala-Lopez B, Hanna N, Brogly S, Wei X, Booth C, Nanji S, Zuckerman J, Coburn N, Mahar A, Callum J, Kaliwal Y, Jayaraman S, Wei A, Martel G, Hallet J, Zuckerman J, Jayaraman S, Wei A, Mahar A, Kaliwal Y, Martel G, Coburn N, Hallet J, Henault D, Barrette B, Pelletier S, Thebault P, Beaudry-Simoneau E, Rong Z, Plasse M, Dagenais ARM, Létourneau R, Lapointe R, Vandenbroucke-Menu F, Nguyen B, Soucy G, Turcotte S, Lemke M, Waugh E, Leslie K, Quan D, Skaro A, Tang E, Lund M, Allen L, Glinka J, Jada G, Quan D, Skaro A, Tang E, Park L, Daza J, Li V, Msallak H, Zhang B, Workneh A, Faisal S, Faisal R, Fabbro M, Gu C, Claassen M, Zuk V, Hallet J, Martel G, Sapisochin G, Serrano P, Glinka J, Skaro A, Leslie K, Jada G, Quan D, Tang E, Waugh E, Lemke M, Glinka J, Skaro A, Leslie K, Tang E, Waugh E, Breadner D, Liu R, Tang E, Allen L, Welch S, Skaro A, Leslie K, Glinka J, Waugh E, Tang E, Jada G, Quan D, Skaro A, Webb A, Lester E, Shapiro A, Eurich D, Bigam D, Essaji Y, Shrader H, Nayyar A, Suraju M, Williams-Perez S, Ear P, Chan C, Smith V, Rivers-Bowerman M, Costa A, Stueck A, Campbell N, Allen S, Gala-Lopez B, Gilbert R, Lenet T, Cleary S, Smoot R, Tzeng C, Rocha F, Martel G, Bertens K, Mir Z, Golding H, McKeown S, Nanji S, Flemming J, Groome P, Mir Z, Djerboua M, Nanji S, Flemming J, Groome P, Elbekri S, Turcotte S, Girard E, Morency-Potvin P, Lapointe R, Vandenbroucke-Menu F, Dagenais M, Roy A, Letourneau R, Plasse M, Simoneau E, Rong Z, Zuker N, Oakley M, Chartrand G, Misheva B, Bendavid Y, Frigault J, Lemieux S, Breton D, Bouchard G, Drolet S, Melland-Smith M, Smith L, Tan J, Kahn U, McLean C, Mocanu V, Birch D, Karmali S, Switzer N, Fortin M, Paré X, Doyon A, Keshavjee S, Schwenger K, Yadav J, Fischer S, Jackson T, Allard J, Okrainec A, Lee Y, Anvari S, Chu M, Lovrics O, Aditya I, Malhan R, Khondker A, Walsh M, Doumouras A, Hong D, He W, Vergis A, Hardy K, Romanescu R, Deaninck F, Linton J, Fowler-Woods M, Fowler-Woods A, Shingoose G, Vergis A, Hardy K, Zmudzinski M, Cloutier Z, McKechnie T, Lee Y, Archer V, Doumouras A, Shiroky J, Abu Halimah J, Ramji K, Boudreau V, Mierzwa A, Mocanu V, Marcil G, Dang J, Switzer N, Birch D, Karmali S, Mierzwa A, Jarrar A, Hardy-Henry A, Kolozsvari N, Lin W, Hagen J, Connell M, Sun W, Dang J, Mocanu V, Kung J, Switzer N, Birch D, Karmali S. 2021 Canadian Surgery Forum01. Design and validation of a unique endoscopy simulator using a commercial video game03. Is ethnicity an appropriate measure of health care marginalization?: A systematic review and meta-analysis of the outcomes of diabetic foot ulceration in the Aboriginal population04. Racial disparities in surgery — a cross-specialty matched comparison between black and white patients05. Starting late does not increase the risk of postoperative complications in patients undergoing common general surgical procedures06. Ethical decision-making during a health care crisis: a resource allocation framework and tool07. Ensuring stability in surgical training program leadership: a survey of program directors08. Introducing oncoplastic breast surgery in a community hospital09. Leadership development programs for surgical residents: a review of the literature10. Superiority of non-opioid postoperative pain management after thyroid and parathyroid operations: a systematic review and meta-analysis11. Timing of ERCP relative to cholecystectomy in patients with ductal gallstone disease12. A systematic review and meta-analysis of randomized controlled trials comparing intraoperative red blood cell transfusion strategies13. Postoperative outcomes after frail elderly preoperative assessment clinic: a single-institution Canadian perspective14. Selective opioid antagonists following bowel resection for prevention of postoperative ileus: a systematic review and meta-analysis15. Peer-to-peer coaching after bile duct injury16. Laparoscopic median arcuate ligament release: a video abstract17. Retroperitoneoscopic approach to adrenalectomy19. Endoscopic Zenker diverticulotomy: a video abstract20. Variability in surgeons’ perioperative management of pheochromocytomas in Canada21. The contribution of surgeon and hospital variation in transfusion practice to outcomes for patients undergoing elective gastrointestinal cancer surgery: a population-based analysis22. Perioperative transfusions for gastroesophageal cancers: risk factors and short- and long-term outcomes23. The association between frailty and time alive and at home after cancer surgery among older adults: a population-based analysis24. Psychological and workplace-related effects of providing surgical care during the COVID-19 pandemic in British Columbia, Canada25. Safety of venous thromboembolism prophylaxis in endoscopic retrograde cholangiopancreatography: a systematic review26. Complications and reintervention following laparoscopic subtotal cholecystectomy: a systematic review and meta-analysis27. Synchronization of pupil dilations correlates with team performance in a simulated laparoscopic team coordination task28. Receptivity to and desired design features of a surgical peer coaching program: an international survey9. Impact of the COVID-19 pandemic on rates of emergency department utilization due to general surgery conditions30. The impact of the current COVID-19 pandemic on the exposure of general surgery trainees to operative procedures31. Association between academic degrees and research productivity: an assessment of academic general surgeons in Canada32. Laparoscopic endoscopic cooperative surgery (LECS) for subepithelial gastric lesion: a video presentation33. Effect of the COVID-19 pandemic on acute care general surgery at an academic Canadian centre34. Opioid-free analgesia after outpatient general surgery: a pilot randomized controlled trial35. Impact of neoadjuvant immunotherapy or targeted therapies on surgical resection in patients with solid tumours: a systematic review and meta-analysis37. Surgical data recording in the operating room: a systematic review of modalities and metrics38. Association between nonaccidental trauma and neighbourhood socioeconomic status during the COVID-19 pandemic: a retrospective analysis39. Laparoscopic repair of a transdiaphragmatic gastropleural fistula40. Video-based interviewing in medicine: a scoping review41. Indocyanine green fluorescence angiography for prevention of anastomotic leakage in colorectal surgery: a cost analysis from the hospital payer’s perspective43. Perception or reality: surgical resident and faculty assessments of resident workload compared with objective data45. When illness and loss hit close to home: Do health care providers learn how to cope?46. Remote video-based suturing education with smartphones (REVISE): a randomized controlled trial47. The evolving use of robotic surgery: a population-based analysis48. Prophylactic retromuscular mesh placement for parastomal hernia prevention: a retrospective cohort study of permanent colostomies and ileostomies49. Intracorporeal versus extracorporeal anastomosis in laparoscopic right hemicolectomy: a retrospective cohort study on anastomotic complications50. A lay of the land — a description of Canadian academic acute care surgery models51. Emergency general surgery in Ontario: interhospital variability in structures, processes and models of care52. Trauma 101: a virtual case-based trauma conference as an adjunct to medical education53. Assessment of the National Surgical Quality Improvement Program Surgical Risk Calculator for predicting patient-centred outcomes of emergency general surgery patients in a Canadian health care system54. Sustainability of a narcotic reduction initiative: 1 year following the Standardization of Outpatient Procedure (STOP) Narcotics Study55. Barriers to transanal endoscopic microsurgery referral56. Geospatial analysis of severely injured rural patients in a geographically complex landscape57. Implementation of an incentive spirometry protocol in a trauma ward: a single-centre pilot study58. Impostor phenomenon is a significant risk factor for burnout and anxiety in Canadian resident physicians: a cross-sectional survey59. Understanding the influence of perioperative education on performance among surgical trainees: a single-centre experience60. The effect of COVID-19 pandemic on current and future endoscopic personal protective equipment practices: a national survey of 77 endoscopists61. Case report: delayed presentation of perforated sigmoid diverticulitis as necrotizing infection of the lower limb62. Investigating disparities in surgical outcomes in Canadian Indigenous populations63. Fundoplication is superior to medical therapy for Barrett esophagus disease regression and progression: a systematic review and meta-analysis64. Development of a novel online general surgery learning platform and a qualitative preimplementation analysis65. Hagfish slime exudate as a potential novel hemostatic agent: developing a standardized assessment protocol66. The effect of the first wave of the COVID-19 pandemic on surgical oncology case volumes and wait times67. Safety of same-day discharge in high-risk patients undergoing ambulatory general surgery68. External validation of the Codman score in colorectal surgery: a pragmatic tool to drive quality improvement69. Improved morbidity and gastrointestinal restoration rates without compromising survival rates for diverting loop ileostomy with colonic lavage versus total abdominal colectomy for fulminant Clostridioides difficile colitis: a multicentre retrospective cohort study70. Potential access to emergency general surgical care in Ontario71. Immersive virtual reality (iVR) improves procedural duration, task completion and accuracy in surgical trainees: a systematic review01. Clinical validation of the Canada Lymph Node Score for endobronchial ultrasound02. Venous thromboembolism in surgically treated esophageal cancer patients: a provincial population-based study03. Venous thromboembolism in surgically treated lung cancer patients: a population-based study04. Is frailty associated with failure to rescue after esophagectomy? A multi-institutional comparative analysis of outcomes05. Routine systematic sampling versus targeted sampling of lymph nodes during endobronchial ultrasound: a feasibility randomized controlled trial06. Gastric ischemic conditioning reduces anastomotic complications in patients undergoing esophagectomy: a systematic review and meta-analysis07. Move For Surgery, a novel preconditioning program to optimize health before thoracic surgery: a randomized controlled trial08. In case of emergency, go to your nearest emergency department — Or maybe not?09. Does preoperative SABR increase the risk of complications from lung cancer resection? A secondary analysis of the MISSILE trial10. Segmental resection for lung cancer: the added value of near-infrared fluorescence mapping diminishes with surgeon experience11. Toward competency-based continuing professional development for practising surgeons12. Stereotactic body radiotherapy versus surgery in older adults with NSCLC — a population-based, matched analysis of long-term dependency outcomes13. Role of adjuvant therapy in esophageal cancer patients after neoadjuvant therapy and curative esophagectomy: a systematic review and meta-analysis14. Evaluation of population characteristics on the incidence of thoracic empyema: an ecological study15. Determining the optimal stiffness colour threshold and stiffness area ratio cut-off for mediastinal lymph node staging using EBUS elastography and AI: a pilot study16. Quality assurance on the use of sequential compression stockings in thoracic surgery (QUESTs)17. The relationship between fissureless technique and prolonged air leak for patients undergoing video-assisted thoracoscopic lobectomy18. CXCR2 inhibition as a candidate for immunomodulation in the treatment of K-RAS-driven lung adenocarcinoma19. Assessment tools for evaluating competency in video-assisted thoracoscopic lobectomy: a systematic review20. Understanding the current practice on chest tube management following lung resection among thoracic surgeons across Canada21. Effect of routine jejunostomy tube insertion in esophagectomy: a systematic review and meta-analysis22. Recurrence of primary spontaneous pneumothorax following bullectomy with pleurodesis or pleurectomy: a retrospective analysis23. Surgical outcomes following chest wall resection and reconstruction24. Outcomes following surgical management of primary mediastinal nonseminomatous germ cell tumours25. Does robotic approach offer better nodal staging than thoracoscopic approach in anatomical resection for non–small cell lung cancer? A single-centre propensity matching analysis26. Competency assessment for mediastinal mass resection and thymectomy: design and Delphi process27. The contemporary significance of venous thromboembolism (deep venous thrombosis [DVT] and pulmonary embolus [PE]) in patients undergoing esophagectomy: a prospective, multicentre cohort study to evaluate the incidence and clinical outcomes of VTE after major esophageal resections28. Esophageal cancer: symptom severity at the end of life29. The impact of pulmonary artery reconstruction on postoperative and oncologic outcomes: a systematic review30. Association with surgical technique and recurrence after laparoscopic repair of paraesophageal hernia: a single-centre experience31. Enhanced recovery after surgery (ERAS) in esophagectomy32. Surgical treatment of esophageal cancer: trends in surgical approach and early mortality at a single institution over the past 18 years34. Adverse events and length of stay following minimally invasive surgery in paraesophageal hernia repair35. Long-term symptom control comparison of Dor and Nissen fundoplication following laparoscopic para-esophageal hernia repair: a retrospective analysis36. Willingness to pay: a survey of Canadian patients’ willingness to contribute to the cost of robotic thoracic surgery37. Radiomics in early-stage lung adenocarcinoma: a prediction tool for tumour immune microenvironments38. Effectiveness of intraoperative pyloric botox injection during esophagectomy: how often is endoscopic intervention required?39. An artificial intelligence algorithm for predicting lymph node malignancy during endobronchial ultrasound40. The effect of major and minor complications after lung surgery on length of stay and readmission41. Measuring cost of adverse events following thoracic surgery: a scoping review42. Laparoscopic paraesophageal hernia repair: characterization by hospital and surgeon volume and impact on outcomes43. NSQIP 5-Factor Modified Frailty Index predicts morbidity but not mortality after esophagectomy44. Trajectory of perioperative HRQOL and association with postoperative complications in thoracic surgery patients45. Variation in treatment patterns and outcomes for resected esophageal cancer at designated thoracic surgery centres46. Patient-reported pretreatment health-related quality of life (HRQOL) predicts short-term survival in esophageal cancer patients47. Analgesic efficacy of surgeon-placed paravertebral catheters compared with thoracic epidural analgesia after Ivor Lewis esophagectomy: a retrospective noninferiority study48. Rapid return to normal oxygenation after lung surgery49. Examination of local and systemic inflammatory changes during lung surgery01. Implications of near-infrared imaging and indocyanine green on anastomotic leaks following colorectal surgery: a systematic review and meta-analysis02. Repeat preoperative endoscopy after regional implementation of electronic synoptic endoscopy reporting: a retrospective comparative study03. Consensus-derived quality indicators for operative reporting in transanal endoscopic surgery (TES)04. Colorectal lesion localization practices at endoscopy to facilitate surgical and endoscopic planning: recommendations from a national consensus Delphi process05. Black race is associated with increased mortality in colon cancer — a population-based and propensity-score matched analysis06. Improved survival in a cohort of patients 75 years and over with FIT-detected colorectal neoplasms07. Laparoscopic versus open loop ileostomy reversal: a systematic review and meta-analysis08. Posterior mesorectal thickness as a predictor of increased operative time in rectal cancer surgery: a retrospective cohort study09. Improvement of colonic anastomotic healing in mice with oral supplementation of oligosaccharides10. How can we better identify patients with rectal bleeding who are at high risk of colorectal cancer?11. Assessment of long-term bowel dysfunction in rectal cancer survivors: a population-based cohort study12. Observational versus antibiotic therapy for acute uncomplicated diverticulitis: a noninferiority meta-analysis based on a Delphi consensus13. Radiotherapy alone versus chemoradiotherapy for stage I anal squamous cell carcinoma: a systematic review and meta-analysis14. Is the Hartmann procedure for diverticulitis obsolete? National trends in colectomy for diverticulitis in the emergency setting from 1993 to 201515. Sugammadex in colorectal surgery: a systematic review and meta-analysis16. Sexuality and rectal cancer treatment: a qualitative study exploring patients’ information needs and expectations on sexual dysfunction after rectal cancer treatment17. Video-based interviews in selection process18. Impact of delaying colonoscopies during the COVID-19 pandemic on colorectal cancer detection and prevention19. Opioid use disorder associated with increased anastomotic leak and major complications after colorectal surgery20. Effectiveness of a rectal cancer education video on patient expectations21. Robotic-assisted rectosigmoid and rectal cancer resection: implementation and early experience at a Canadian tertiary centre22. An online educational app for rectal cancer survivors with low anterior resection syndrome: a pilot study23. The effects of surgeon specialization on the outcome of emergency colorectal surgery24. Outcomes after colorectal cancer resections in octogenarians and older in a regional New Zealand setting — What are the predictors of mortality?25. Long-term outcomes after seton placement for perianal fistulae with and without Crohn disease26. A survey of patient and surgeon preference for early ileostomy closure following restorative proctectomy for rectal cancer — Why aren’t we doing it?27. Crohn disease independently associated with longer hospital admission after surgery28. Short-stay (≤ 1 d) diverting loop ileostomy closure can be selectively implemented without an increase in readmission and complication rates: an ACS-NSQIP analysis29. A comparison of perineal stapled rectal prolapse resection and the Altemeier procedure at 2 Canadian academic hospitals30. Mental health and substance use disorders predict 90-day readmission and postoperative complications following rectal cancer surgery31. Early discharge after colorectal cancer resection: trends and impact on patient outcomes32. Oral antibiotics without mechanical bowel preparation prior to emergency colectomy reduces the risk of organ space surgical site infections: a NSQIP propensity score matched study33. The impact of robotic surgery on a tertiary care colorectal surgery program, an assessment of costs and short-term outcomes — a Canadian perspective34. Should we scope beyond the age limit of guidelines? Adenoma detection rates and outcomes of screening and surveillance colonoscopies in patients aged 75–79 years35. Emergency department admissions for uncomplicated diverticulitis: a nationwide study36. Obesity is associated with a complicated episode of acute diverticulitis: a nationwide study37. Green indocyanine angiography for low anterior resection in patients with rectal cancer: a prospective before-and-after study38. The impact of age on surgical recurrence of fibrostenotic ileocolic Crohn disease39. A qualitative study to explore the optimal timing and approach for the LARS discussion01. Racial, ethnic and socioeconomic disparities in diagnosis, treatment and survival of patients with breast cancer: a SEER-based population analysis02. First-line palliative chemotherapy for esophageal and gastric cancer: practice patterns and outcomes in the general population03. Frailty as a predictor for postoperative outcomes following pancreaticoduodenectomy04. Synoptic electronic operative reports identify practice variation in cancer surgery allowing for directed interventions to decrease variation05. The role of Hedgehog signalling in basal-like breast cancer07. Clinical and patient-reported outcomes in oncoplastic breast conservation surgery from a single surgeon’s practice in a busy community hospital in Canada08. Upgrade rate of atypical ductal hyperplasia: 10 years of experience and predictive factors09. Time to first adjuvant treatment after oncoplastic breast reduction10. Preparing to survive: improving outcomes for young women with breast cancer11. Opioid prescription and consumption in patients undergoing outpatient breast surgery — baseline data for a quality improvement initiative12. Rectal anastomosis and hyperthermic intraperitoneal chemotherapy: Should we avoid diverting loop ileostomy?13. Delays in operative management of early-stage, estrogen-receptor positive breast cancer during the COVID-19 pandemic — a multi-institutional matched historical cohort study14. Opioid prescribing practices in breast oncologic surgery15. Oncoplastic breast reduction (OBR) complications and patient-reported outcomes16. De-escalating breast cancer surgery: Should we apply quality indicators from other jurisdictions in Canada?17. The breast cancer patient experience of telemedicine during COVID-1918. A novel ex vivo human peritoneal model to investigate mechanisms of peritoneal metastasis in gastric adenocarcinoma (GCa)19. Preliminary uptake and outcomes utilizing the BREAST-Q patient-reported outcomes questionnaire in patients following breast cancer surgery20. Routine elastin staining improves detection of venous invasion and enhances prognostication in resected colorectal cancer21. Analysis of exhaled volatile organic compounds: a new frontier in colon cancer screening and surveillance22. A clinical pathway for radical cystectomy leads to a shorter hospital stay and decreases 30-day postoperative complications: a NSQIP analysis23. Fertility preservation in young breast cancer patients: a population-based study24. Investigating factors associated with postmastectomy unplanned emergency department visits: a population-based analysis25. Impact of patient, tumour and treatment factors on psychosocial outcomes after treatment in women with invasive breast cancer26. The relationship between breast and axillary pathologic complete response in women receiving neoadjuvant chemotherapy for breast cancer01. The association between bacterobilia and the risk of postoperative complications following pancreaticoduodenectomy02. Surgical outcome and quality of life following exercise-based prehabilitation for hepatobiliary surgery: a systematic review and meta-analysis03. Does intraoperative frozen section and revision of margins lead to improved survival in patients undergoing resection of perihilar cholangiocarcinoma? A systematic review and meta-analysis04. Prolonged kidney procurement time is associated with worse graft survival after transplantation05. Venous thromboembolism following hepatectomy for colorectal metastases: a population-based retrospective cohort study06. Association between resection approach and transfusion exposure in liver resection for gastrointestinal cancer07. The association between surgeon volume and use of laparoscopic liver resection for gastrointestinal cancer08. Immune suppression through TIGIT in colorectal cancer liver metastases09. “The whole is greater than the sum of its parts” — a combined strategy to reduce postoperative pancreatic fistula after pancreaticoduodenectomy10. Laparoscopic versus open synchronous colorectal and hepatic resection for metastatic colorectal cancer11. Identifying prognostic factors for overall survival in patients with recurrent disease following liver resection for colorectal cancer metastasis12. Modified Blumgart pancreatojejunostomy with external stenting in laparoscopic Whipple reconstruction13. Laparoscopic versus open pancreaticoduodenectomy: a single centre’s initial experience with introduction of a novel surgical approach14. Neoadjuvant chemotherapy versus upfront surgery for borderline resectable pancreatic cancer: a single-centre cohort analysis15. Thermal ablation and telemedicine to reduce resource utilization during the COVID-19 pandemic16. Cost-utility analysis of normothermic machine perfusion compared with static cold storage in liver transplantation in the Canadian setting17. Impact of adjuvant therapy on overall survival in early-stage ampullary cancers: a single-centre retrospective review18. Presence of biliary anaerobes enhances response to neoadjuvant chemotherapy in pancreatic ductal adenocarcinoma19. How does tumour viability influence the predictive capability of the Metroticket model? Comparing predicted-to-observed 5-year survival after liver transplant for hepatocellular carcinoma20. Does caudate resection improve outcomes in patients undergoing curative resection for perihilar cholangiocarcinoma? A systematic review and meta-analysis21. Appraisal of multivariable prognostic models for postoperative liver decompensation following partial hepatectomy: a systematic review22. Predictors of postoperative liver decompensation events following resection in patients with cirrhosis and hepatocellular carcinoma: a population-based study23. Characteristics of bacteriobilia and impact on outcomes after Whipple procedure01. Inverting the y-axis: the future of MIS abdominal wall reconstruction is upside down02. Progressive preoperative pneumoperitoneum: a single-centre retrospective study03. The role of radiologic classification of parastomal hernia as a predictor of the need for surgical hernia repair: a retrospective cohort study04. Comparison of 2 fascial defect closure methods for laparoscopic incisional hernia repair01. Hypoalbuminemia predicts serious complications following elective bariatric surgery02. Laparoscopic adjustable gastric band migration inducing jejunal obstruction associated with acute pancreatitis: aurgical approach of band removal03. Can visceral adipose tissue gene expression determine metabolic outcomes after bariatric surgery?04. Improvement of kidney function in patients with chronic kidney disease and severe obesity after bariatric surgery: a systematic review and meta-analysis05. A prediction model for delayed discharge following gastric bypass surgery06. Experiences and outcomes of Indigenous patients undergoing bariatric surgery: a mixed-methods scoping review07. What is the optimal common channel length in revisional bariatric surgery?08. Laparoscopic management of internal hernia in a 34-week pregnant woman09. Characterizing timing of postoperative complications following elective Roux-en-Y gastric bypass and sleeve gastrectomy10. Canadian trends in bariatric surgery11. Common surgical stapler problems and how to correct them12. Management of choledocholithiasis following Roux-en-Y gastric bypass: a systematic review and meta-analysis. Can J Surg 2021; 64:S80-S159. [PMID: 35483046 PMCID: PMC8677574 DOI: 10.1503/cjs.021321] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Affiliation(s)
- G Johnson
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - B Unger
- From the University of Manitoba, Winnipeg, Man
| | - J Park
- From the University of Manitoba, Winnipeg, Man
| | - L Gillman
- From the University of Manitoba, Winnipeg, Man
| | - K Hickey
- From Memorial University, St. John's, Nfld
| | - D Pace
- From Memorial University, St. John's, Nfld
| | - A Azin
- From the University of Toronto, Toronto, Ont
| | | | | | - S Chadi
- University Health Network, Toronto, Ont
| | | | | | - J Catton
- University Health Network, Toronto, Ont
| | - B Rubin
- University Health Network, Toronto, Ont
| | - J Bell
- University Health Network, Toronto, Ont
| | | | | | | | | | - F Shariff
- From the University of Toronto, Toronto, Ont
| | - F Wright
- From the University of Toronto, Toronto, Ont
| | - N Ahmed
- From the University of Toronto, Toronto, Ont
| | - A Nadler
- From the University of Toronto, Toronto, Ont
| | - J Hallet
- From the University of Toronto, Toronto, Ont
| | - J Gentles
- From the University of British Columbia, Vancouver, B.C
| | - L Chen
- From the University of British Columbia, Vancouver, B.C
| | - H Hwang
- From the University of British Columbia, Vancouver, B.C
| | - M Parapini
- University of British Columbia, Vancouver, B.C
| | | | - R Sidhu
- University of British Columbia, Vancouver, B.C
| | - T Scott
- University of British Columbia, Vancouver, B.C
| | | | - R Guo
- From the University of British Columbia, Vancouver, B.C
| | - A Nguyen
- From the University of British Columbia, Vancouver, B.C
| | - J Osborn
- From the University of British Columbia, Vancouver, B.C
| | - S Wiseman
- From the University of British Columbia, Vancouver, B.C
| | - K Nabata
- From the University of British Columbia, Vancouver, B.C
| | - E Ertel
- From the University of British Columbia, Vancouver, B.C
| | - H Hwang
- From the University of British Columbia, Vancouver, B.C
| | - T Lenet
- University of Ottawa, Ottawa, Ont
| | - L Baker
- University of Ottawa, Ottawa, Ont
| | - L Park
- University of Ottawa, Ottawa, Ont
| | - M Vered
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - A Zahrai
- University of Ottawa, Ottawa, Ont
| | - R Shorr
- The Ottawa Hospital, Ottawa, Ont
| | - A Davis
- The Ottawa Hospital, Ottawa, Ont
| | | | | | - D Fergusson
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - G Martel
- The Ottawa Hospital, Ottawa, Ont
| | - K Nabata
- From the University of British Columbia, Vancouver, B.C
| | - S Rummel
- From the University of British Columbia, Vancouver, B.C
| | | | - A Karimuddin
- From the University of British Columbia, Vancouver, B.C
| | - M Stewart
- From the University of British Columbia, Vancouver, B.C
| | - A Melck
- From the University of British Columbia, Vancouver, B.C
| | | | | | | | - Y Lee
- From McMaster University, Hamilton, Ont
| | - K Ramji
- From McMaster University, Hamilton, Ont
| | | | - A Zhu
- From the University of Toronto, Toronto, Ont
| | - S Deng
- From the University of Toronto, Toronto, Ont
| | - B Greene
- From the University of Toronto, Toronto, Ont
| | - M Tsang
- From the University of Toronto, Toronto, Ont
| | - V Palter
- From the University of Toronto, Toronto, Ont
| | - S Jayaraman
- From the University of Toronto, Toronto, Ont
| | | | - A Mann
- From McMaster University, Hamilton, Ont
| | - J Tittley
- From McMaster University, Hamilton, Ont
| | - M Cadeddu
- From McMaster University, Hamilton, Ont
| | - M Nguyen
- University of Toronto, Toronto, Ont
| | - A Madani
- University Health Network, Toronto, Ont
| | | | | | - K Ramji
- From McMaster University, Hamilton, Ont
| | - D Hong
- From McMaster University, Hamilton, Ont
| | - L Qu
- Western University, London, Ont
| | - A Istl
- Johns Hopkins Hospital, Baltimore, Md
| | - E Tang
- Western University, London, Ont
| | - D Gray
- Western University, London, Ont
| | | | - N Coburn
- University of Toronto, Toronto, Ont
| | - J Callum
- Queen's University, Kingston, Ont
| | - R McLeod
- University of Toronto, Toronto, Ont
| | | | - Y Lin
- University of Toronto, Toronto, Ont
| | | | - G Martel
- University of Ottawa, Ottawa, Ont
| | - J Hallet
- University of Toronto, Toronto, Ont
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | - A Kammili
- From the McGill University Health Centre, Montreal, Que
| | | | - L Lee
- From the McGill University Health Centre, Montreal, Que
| | | | - L Ferri
- From the McGill University Health Centre, Montreal, Que
| | - C Mueller
- From the McGill University Health Centre, Montreal, Que
| | | | - B Haas
- University of Toronto, Toronto, Ont
| | | | | | | | - V Zuk
- Sunnybrook Research Institute, Toronto, Ont
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | - A Hsu
- University of Ottawa, Ottawa, Ont
| | | | - R Vasdev
- Sunnybrook Research Institute, Toronto, Ont
| | - N Coburn
- University of Toronto, Toronto, Ont
| | - J Hallet
- University of Toronto, Toronto, Ont
| | - K D'Souza
- From the University of British Columbia, Vancouver, B.C
| | - C Huynh
- From the University of British Columbia, Vancouver, B.C
| | | | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - H Hwang
- From the University of British Columbia, Vancouver, B.C
| | - M Hameed
- From the University of British Columbia, Vancouver, B.C
| | - L Glass
- Western University, London, Ont
| | | | - P Murphy
- Medical College of Wisconsin, Milwaukee, Wis
| | - E Tang
- Western University, London, Ont
| | | | - J Hawel
- Western University, London, Ont
| | - L Kerr
- From the Northern Ontario School of Medicine, Thunder Bay, Ont
| | - S Zablotny
- From the Northern Ontario School of Medicine, Thunder Bay, Ont
| | - H Roldan
- From the Northern Ontario School of Medicine, Thunder Bay, Ont
| | - W He
- University of Manitoba, Winnipeg, Man
| | - X Jiang
- Memorial University of Newfoundland, St. John's, Nfld
| | - B Zheng
- University of Alberta, Edmonton, Alta
| | - L Lee
- From McGill University, Montreal, Que
| | - J Fiore
- From McGill University, Montreal, Que
| | - L Feldman
- From McGill University, Montreal, Que
| | - G Fried
- From McGill University, Montreal, Que
| | - C Mueller
- From McGill University, Montreal, Que
| | - S Valanci
- From McGill University, Montreal, Que
| | | | - J Cipolla
- From McGill University, Montreal, Que
| | - P Kaneva
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | - L Lee
- From McGill University, Montreal, Que
| | - L Feldman
- From McGill University, Montreal, Que
| | - J Fiore
- From McGill University, Montreal, Que
| | | | | | - J Cipolla
- From McGill University, Montreal, Que
| | - L Lee
- From McGill University, Montreal, Que
| | - J Fiore
- From McGill University, Montreal, Que
| | - L Feldman
- From McGill University, Montreal, Que
| | - A Miles
- From the University of Alberta, Edmonton, Alta
| | - K Purich
- From the University of Alberta, Edmonton, Alta
| | - K Verhoeff
- From the University of Alberta, Edmonton, Alta
| | - J Shapiro
- From the University of Alberta, Edmonton, Alta
| | - D Bigam
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - A Fecso
- From the University of Toronto, Toronto, Ont
| | - T Chesney
- From the University of Toronto, Toronto, Ont
| | - J Mosko
- From the University of Toronto, Toronto, Ont
| | - D Skubleny
- From the University of Alberta, Edmonton, Alta
| | - P Hamilton
- From the University of Alberta, Edmonton, Alta
| | - S Ghosh
- From the University of Alberta, Edmonton, Alta
| | - S Widder
- From the University of Alberta, Edmonton, Alta
| | - D Schiller
- From the University of Alberta, Edmonton, Alta
| | - U Do
- McGill University, Montreal, Que
| | | | - M Pook
- McGill University, Montreal, Que
| | - N Barone
- McGill University, Montreal, Que
| | | | | | | | | | - H Elhaj
- McGill University Health Centre, Montreal, Que
| | | | - G Olleik
- McGill University, Montreal, Que
| | - P Kaneva
- McGill University Health Centre, Montreal, Que
| | - A Antoun
- McGill University, Montreal, Que
| | - N Safa
- McGill University, Montreal, Que
| | | | | | | | - G Fried
- McGill University Health Centre, Montreal, Que
| | - M Alhashemi
- McGill University Health Centre, Montreal, Que
| | - F Lee
- McGill University Health Centre, Montreal, Que
| | - G Baldini
- McGill University Health Centre, Montreal, Que
| | - L Feldman
- McGill University Health Centre, Montreal, Que
| | - J Fiore
- McGill University Health Centre, Montreal, Que
| | | | - S Parpia
- McMaster University, Hamilton, Ont
| | - L Ruo
- McMaster University, Hamilton, Ont
| | | | - S Lee
- McMaster University, Hamilton, Ont
| | | | - N Faisal
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - A Alfayyadh
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | | | | | | | - C Kruse
- McMaster University, Hamilton, Ont
| | | | - M Levin
- University of Toronto, Toronto, Ont
| | - K Aldrich
- Center for Medical Interoperability, Nashville, Tenn
| | - T Grantcharov
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ont
| | - A Langerman
- Vanderbilt University Medical Center, Nashville, Tenn
| | - H Forbes
- From the University of Alberta, Edmonton, Alta
| | - R Anantha
- From the University of Alberta, Edmonton, Alta
| | - V Fawcett
- From the University of Alberta, Edmonton, Alta
| | | | - V Pravong
- University of Montreal, Montreal, Que
| | - M Gervais
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - G Rakovich
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - R Selvam
- From the University of Ottawa, Ottawa, Ont
| | - R Hu
- From the University of Ottawa, Ottawa, Ont
| | | | - I Raiche
- From the University of Ottawa, Ottawa, Ont
| | - H Moloo
- From the University of Ottawa, Ottawa, Ont
| | - R Liu
- Western University, London, Ont
| | - A Elnahas
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - N Alkhamesi
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - J Hawel
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - E Tang
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - A Alnumay
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - C Schlachta
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - E Walser
- From Western University, London, Ont
| | - C Zhang
- From Western University, London, Ont
| | | | - M Ott
- From Western University, London, Ont
| | - A Lee
- From the University of Ottawa, Ottawa, Ont
| | - B Niu
- From the University of Ottawa, Ottawa, Ont
| | - F Balaa
- From the University of Ottawa, Ottawa, Ont
| | - N Gawad
- From the University of Ottawa, Ottawa, Ont
| | - K Ren
- From McMaster University, Hamilton, Ont
| | - Y Qiu
- From McMaster University, Hamilton, Ont
| | - K Hamann
- From McMaster University, Hamilton, Ont
| | - N How
- From McMaster University, Hamilton, Ont
| | | | | | - A Eqbal
- From McMaster University, Hamilton, Ont
| | | | | | | | - E Lee
- From McMaster University, Hamilton, Ont
| | - I Yang
- From McMaster University, Hamilton, Ont
| | - K Ren
- From McMaster University, Hamilton, Ont
| | - H Muaddi
- University of Toronto, Toronto, Ont
| | - T Stukel
- ICES, University of Toronto, Toronto, Ont
| | - C de Mestral
- St. Michael's Hospital, University of Toronto, Toronto, Ont
| | - A Nathens
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont
| | - P Karanicolas
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont
| | - J Frigault
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Lemieux
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - D Breton
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - P Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - A Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - R Grégoire
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - F Letarte
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - G Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Drolet
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - J Frigault
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Avoine
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Drolet
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - F Letarte
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - A Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - J Gagné
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - C Thibault
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - R Grégoire
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | | | - M Gosselin
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - P Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | | | - T Stuleanu
- From the University of Ottawa, Ottawa, Ont
| | - A Jarrar
- From the University of Ottawa, Ottawa, Ont
| | | | | | - R Nenshi
- McMaster University, Hamilton, Ont
| | - A Jerath
- University of Toronto, Toronto, Ont
| | - D Gomez
- University of Toronto, Toronto, Ont
| | - K Singh
- University of Toronto, Toronto, Ont
| | - T Amir
- McMaster University, Hamilton, Ont
| | - E Liu
- McMaster University, Hamilton, Ont
| | | | - R Mao
- McMaster University, Hamilton, Ont
| | - L Lan
- McMaster University, Hamilton, Ont
| | - J Yan
- University of British Columbia, Vancouver, B.C
| | | | - A Mierzwa
- From the University of Alberta, Edmonton, Alta
| | - R Tin
- From the University of Alberta, Edmonton, Alta
| | - R Brisebois
- From the University of Alberta, Edmonton, Alta
| | - N Bradley
- From the University of Alberta, Edmonton, Alta
| | - R Wigen
- From Western University, London, Ont
| | - E Walser
- From Western University, London, Ont
| | | | | | - K Vogt
- From Western University, London, Ont
| | - R Hilsden
- From Western University, London, Ont
| | - N Parry
- From Western University, London, Ont
| | - L Allen
- From Western University, London, Ont
| | - K Leslie
- From Western University, London, Ont
| | - R Raskin
- From Dalhousie University, Halifax, N.S
| | - J Jones
- From Dalhousie University, Halifax, N.S
| | - K Neumann
- From Dalhousie University, Halifax, N.S
| | - C Dwyer
- University of Alberta, Edmonton, Alta
| | | | - N Bradley
- University of Alberta, Edmonton, Alta
| | | | - K Lobay
- University of Alberta, Edmonton, Alta
| | | | - E Chang
- University of Alberta, Edmonton, Alta
| | - S Widder
- University of Alberta, Edmonton, Alta
| | - R Anantha
- University of Alberta, Edmonton, Alta
| | - W Sun
- University of Alberta, Edmonton, Alta
| | - J Beck
- Royal Alexandra Hospital, Edmonton, Alta
| | - R Anantha
- University of Alberta, Edmonton, Alta
| | - R Liu
- From Western University, London, Ont
| | | | - S Jones
- From Western University, London, Ont
| | | | | | - M Ott
- From Western University, London, Ont
| | - E Schmitz
- From the University of Ottawa, Ottawa, Ont
| | - I Raiche
- From the University of Ottawa, Ottawa, Ont
| | - W Sun
- University of Alberta, Edmonton, Alta
| | | | - J Dang
- University of Alberta, Edmonton, Alta
| | - V Mocanu
- University of Alberta, Edmonton, Alta
| | - G Lutzak
- University of Alberta, Edmonton, Alta
| | | | - C Wong
- University of Alberta, Edmonton, Alta
| | - S Karmali
- University of Alberta, Edmonton, Alta
| | - E Schmitz
- From the University of Ottawa, Ottawa, Ont
| | - M Petrera
- From the University of Ottawa, Ottawa, Ont
| | - M Pickell
- From the University of Ottawa, Ottawa, Ont
| | - R Auer
- From the University of Ottawa, Ottawa, Ont
| | - N Patro
- From McMaster University, Hamilton, Ont
| | - B Li
- From McMaster University, Hamilton, Ont
| | - Y Lee
- From McMaster University, Hamilton, Ont
| | - H Wilson
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - W Sun
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - U Jogiat
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - C Wong
- From the University of Alberta, Edmonton, Alta
| | - C Li
- University of Alberta, Edmonton, Alta
| | | | - A Cieply
- University of Alberta, Edmonton, Alta
| | - H Hawes
- University of British Columbia, Vancouver, B.C
| | - E Joos
- University of British Columbia, Vancouver, B.C
| | - A Saleh
- University of Alberta, Edmonton, Alta
| | - C Li
- University of Alberta, Edmonton, Alta
| | - A Saleh
- University of Alberta, Edmonton, Alta
| | - P Engels
- McMaster University, Hamilton, Ont
| | - J Drung
- From the University of Western Ontario, London, Ont
| | - L Allen
- From the University of Western Ontario, London, Ont
| | - K Leslie
- From the University of Western Ontario, London, Ont
| | - G Pang
- From Western University, London, Ont
| | - M Kwong
- From Western University, London, Ont
| | | | | | - J Hawel
- From Western University, London, Ont
| | - A Elnahas
- From Western University, London, Ont
| | | | | | - S Chadi
- University of Toronto, Toronto, Ont
| | | | - D Chang
- Harvard University, Cambridge, Mass
| | - M Hutter
- Harvard University, Cambridge, Mass
| | - R Spence
- Dalhousie University, Halifax, N.S
| | | | - M Boutros
- Jewish General Hospital, Montreal, Que
| | | | - N Morin
- Jewish General Hospital, Montreal, Que
| | - Y Longtin
- Jewish General Hospital, Montreal, Que
| | - S Liberman
- McGill University Health Centre, Montreal, Que
| | | | | | - M Poirier
- Hôpital Maisonneuve-Rosemont, Université de Montréal, Montreal, Que
| | | | - H Sebajang
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - R Younan
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - F Schwenter
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - E De Broux
- Centre hospitalier de l'Université de Montreal, Montreal, Que
| | - K Larsen
- University of Toronto, Toronto, Ont
| | | | | | - J Nantais
- University of Manitoba, Winnipeg, Man
| | - D Gomez
- University of Toronto, Toronto, Ont
| | - L Lan
- McMaster University, Hamilton, Ont
| | - R Mao
- McMaster University, Hamilton, Ont
| | - J Kay
- McMaster University, Hamilton, Ont
| | - R Lohre
- University of British Columbia, Vancouver, B.C
| | - O Ayeni
- McMaster University, Hamilton, Ont
| | - D Goel
- University of British Columbia, Vancouver, B.C
| | - D de Sa
- McMaster University, Hamilton, Ont
| | - R He
- University of Alberta, Edmonton, Alta
| | - D Hylton
- McMaster University, Hamilton, Ont
| | - E Bedard
- University of Alberta, Edmonton, Alta
| | - S Johnson
- University of Alberta, Edmonton, Alta
| | - B Laing
- University of Alberta, Edmonton, Alta
| | - A Valji
- University of Alberta, Edmonton, Alta
| | | | - S Turner
- University of Alberta, Edmonton, Alta
| | | | | | | | | | | | | | | | - V Gupta
- University of Toronto, Toronto, Ont
| | - B Kidane
- University of Manitoba, Winnipeg, Man
| | | | | | | | | | - Y Patel
- McMaster University, Hamilton, Ont
| | | | - D Hylton
- McMaster University, Hamilton, Ont
| | - F Xie
- McMaster University, Hamilton, Ont
| | - A Seely
- University of Ottawa, Ottawa, Ont
| | - J Spicer
- McGill University, Montreal, Que
| | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - S Turner
- University of Alberta, Edmonton, Alta
| | | | - W Hanna
- McMaster University, Hamilton, Ont
| | - U Jogiat
- From the University of Alberta, Edmonton, Alta
| | - W Sun
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - S Turner
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - Y Patel
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - I Churchill
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - K Sullivan
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - M Beauchamp
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - J Wald
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - L Mbuagbaw
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - J Agzarian
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - Y Shargall
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - C Finley
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - C Fahim
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - W Hanna
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - M Abbas
- From McMaster University, Hamilton, Ont
| | - O Olaiya
- From McMaster University, Hamilton, Ont
| | - H Begum
- From McMaster University, Hamilton, Ont
| | | | - C Finley
- From McMaster University, Hamilton, Ont
| | - W Hanna
- From McMaster University, Hamilton, Ont
| | | | | | - A Ednie
- Western University, London, Ont
| | - D Palma
- Western University, London, Ont
| | | | | | | | - M Qiabi
- Western University, London, Ont
| | - R Nayak
- Western University, London, Ont
| | | | - A Louie
- Sunnybrook Health Sciences Centre
| | | | | | - J Laba
- Western University, London, Ont
| | | | - J Alaichi
- From McMaster University, Hamilton, Ont
| | - Y Patel
- From McMaster University, Hamilton, Ont
| | - W Hanna
- From McMaster University, Hamilton, Ont
| | - S Turner
- From the University of Alberta, Edmonton, Alta
| | - B Mador
- From the University of Alberta, Edmonton, Alta
| | - H Lai
- From the University of Alberta, Edmonton, Alta
| | - J White
- From the University of Alberta, Edmonton, Alta
| | - M Kim
- From the University of Alberta, Edmonton, Alta
| | | | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - A Louie
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - V Zuk
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - G Darling
- Toronto General Hospital, Toronto, Ont
| | | | - T Chesney
- St. Michael's Hospital, Toronto, Ont
| | - N Coburn
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - J Hallet
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Y Lee
- McMaster University, Hamilton, Ont
| | | | - M Lee
- University of Toronto, Toronto, Ont
| | - L Thiru
- McMaster University, Hamilton, Ont
| | | | - C Finley
- McMaster University, Hamilton, Ont
| | - W Hanna
- McMaster University, Hamilton, Ont
| | - O Levine
- McMaster University, Hamilton, Ont
| | | | | | - R Nayak
- Western University, London, Ont
| | - S Brogly
- Queen's University, Kingston, Ont
| | - W Li
- ICES Queen's, Kingston, Ont
| | | | | | - N Mistry
- From McMaster University, Hamilton, Ont
| | - A Gatti
- From McMaster University, Hamilton, Ont
| | | | - Y Patel
- From McMaster University, Hamilton, Ont
| | - W Hanna
- From McMaster University, Hamilton, Ont
| | - S Abdul
- University of Ottawa, Ottawa, Ont
| | - C Anestee
- Ottawa Hospital Research Institute, Ottawa, Ont
| | | | | | - A Seely
- University of Ottawa, Ottawa, Ont
| | | | - D Maziak
- University of Ottawa, Ottawa, Ont
| | - R Razzak
- University of Manitoba, Winnipeg, Man
| | - A Ashrafi
- University of British Columbia, Vancouver, B.C
| | | | | | - S Stone
- University of British Columbia, Vancouver, B.C
| | | | - T Bong
- Fraser Health Authority, B.C
| | - R Bond
- University of British Columbia, Vancouver, B.C
| | - A Hafizi
- Surrey Thoracic Surgery Group, Surrey, B.C
| | - M De Meo
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - R Rayes
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - S Milette
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - M Vagai
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - M Usatii
- Research Institute of the McGill University Health Centre, Montreal, Que
| | | | - B Giannias
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - F Bourdeau
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - V Sangwan
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - N Bertos
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - C Moraes
- McGill University, Montreal, Que
| | - S Huang
- McGill University, Montreal, Que
| | - D Quail
- McGill University, Montreal, Que
| | - L Walsh
- McGill University, Montreal, Que
| | - S Camilleri-Broet
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - P Fiset
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - J Cools-Lartigue
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - L Ferri
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - J Spicer
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - A Kammili
- McGill University Health Centre, Montreal, Que
| | - E Bilgic
- McGill University Health Centre, Montreal, Que
| | | | | | - S Najmeh
- McGill University Health Centre, Montreal, Que
| | - C Mueller
- McGill University Health Centre, Montreal, Que
| | - L Esther
- From McMaster University, Hamilton, Ont
| | - H Begum
- From McMaster University, Hamilton, Ont
| | | | - W Hanna
- From McMaster University, Hamilton, Ont
| | - C Finley
- From McMaster University, Hamilton, Ont
| | | | - Y Lee
- McMaster University, Hamilton, Ont
| | - J Lu
- University of Toronto, Toronto, Ont
| | - R Malhan
- McMaster University, Hamilton, Ont
| | | | - C Finley
- McMaster University, Hamilton, Ont
| | - W Hanna
- McMaster University, Hamilton, Ont
| | | | - S Brophy
- From Dalhousie University, Halifax, N.S
| | - K Brennan
- From Dalhousie University, Halifax, N.S
| | - D French
- From Dalhousie University, Halifax, N.S
| | - V Resende
- Ottawa Hospital Research Institute, Ottawa, Ont
| | | | - O Solaja
- The Ottawa Hospital, Ottawa, Ont
| | | | - D Maziak
- The Ottawa Hospital, Ottawa, Ont
| | - A Seely
- The Ottawa Hospital, Ottawa, Ont
| | | | | | - D Sisson
- From the University of Toronto, Toronto, Ont
| | - L Donahoe
- From the University of Toronto, Toronto, Ont
| | - P Bedard
- From the University of Toronto, Toronto, Ont
| | - A Hansen
- From the University of Toronto, Toronto, Ont
| | - M De Perrot
- From the University of Toronto, Toronto, Ont
| | | | - A Simone
- University of Ottawa, Ottawa, Ont
| | - H Begum
- McMaster University, Hamilton, Ont
| | - W Hanna
- McMaster University, Hamilton, Ont
| | | | - S Turner
- University of Alberta, Edmonton, Alta
| | - J Huang
- Memorial Sloan Kettering Cancer Center, New York, N.Y
| | - H Lai
- University of Alberta, Edmonton, Alta
| | - E Bedard
- University of Alberta, Edmonton, Alta
| | | | - S Murthy
- Cleveland Clinic, Cleveland, Ohio
| | - J Lin
- University of Michigan, Ann Arbor, Mich
| | | | | | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - A Seely
- University of Ottawa, Ottawa, Ont
| | - H Li
- Beijing Chao-yang Hospital, Capital Medical University, Beijing, China
| | | | | | - E Lau
- McMaster University, Hamilton, Ont
| | | | - W Hanna
- McMaster University, Hamilton, Ont
| | - C Finley
- McMaster University, Hamilton, Ont
| | | | | | | | - V Gupta
- University of Toronto, Toronto, Ont
| | | | - L Davis
- McGill University, Montreal, Que
| | | | - B Kidane
- University of Toronto, Toronto, Ont
| | - G Darling
- University Health Network, Toronto, Ont
| | - N Coburn
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - C Huynh
- From McGill University, Montreal, Que
| | | | - L Ferri
- From McGill University, Montreal, Que
| | - S Najmeh
- From McGill University, Montreal, Que
| | - C Sirois
- From McGill University, Montreal, Que
| | - D Mulder
- From McGill University, Montreal, Que
| | - J Spicer
- From McGill University, Montreal, Que
| | | | | | - D Nguyen
- From the University of Ottawa, Ottawa, Ont
| | - C Anstee
- From the University of Ottawa, Ottawa, Ont
| | - E Delic
- From the University of Ottawa, Ottawa, Ont
| | - S Gilbert
- From the University of Ottawa, Ottawa, Ont
| | - D Maziak
- From the University of Ottawa, Ottawa, Ont
| | | | - A Seely
- From the University of Ottawa, Ottawa, Ont
| | - D Sisson
- University of Toronto, Toronto, Ont
| | | | | | - D Low
- Virginia Mason Medical Center, Seattle, Wash
| | | | - S Turner
- University of Alberta, Edmonton, Alta
| | - M Humer
- From the University of British Columbia, Kelowna, B.C
| | - S Abdul
- University of Ottawa, Ottawa, Ont
| | - D Nguyen
- University of Ottawa, Ottawa, Ont
| | - A Al Rawahi
- Department of Surgery, University of Ottawa, Ottawa, Ont
| | - C Anstee
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - E Delic
- Ottawa Hospital Research Institute, Ottawa, Ont
| | | | | | - D Maziak
- University of Ottawa, Ottawa, Ont
| | - A Seely
- University of Ottawa, Ottawa, Ont
| | | | | | | | - C Anstee
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - E Delic
- Ottawa Hospital Research Institute, Ottawa, Ont
| | | | | | - D Maziak
- University of Ottawa, Ottawa, Ont
| | - A Seely
- University of Ottawa, Ottawa, Ont
| | - Y Patel
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - M Kay
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - I Churchill
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - K Sullivan
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - Y Shargall
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - B Shayegan
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - A Adili
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - W Hanna
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | | | - C Huynh
- From McGill University, Montreal, Que
| | | | | | - F Maleki
- From McGill University, Montreal, Que
| | - K Ovens
- From McGill University, Montreal, Que
| | - M Gold
- From McGill University, Montreal, Que
| | - M Sorin
- From McGill University, Montreal, Que
| | - R Falutz
- From McGill University, Montreal, Que
| | - R Rayes
- From McGill University, Montreal, Que
| | | | - J Spicer
- From McGill University, Montreal, Que
| | - N Hunka
- From the University of Saskatchewan, Saskatoon, Sask
| | - R Kennedy
- From the University of Saskatchewan, Saskatoon, Sask
| | - R Bigsby
- From the University of Saskatchewan, Saskatoon, Sask
| | - S Bharadwaj
- From the University of Saskatchewan, Saskatoon, Sask
| | - S Gowing
- From the University of Saskatchewan, Saskatoon, Sask
| | | | - A Gatti
- From McMaster University, Hamilton, Ont
| | - D Hylton
- From McMaster University, Hamilton, Ont
| | | | - Y Patel
- From McMaster University, Hamilton, Ont
| | | | | | - W Hanna
- From McMaster University, Hamilton, Ont
| | - C Finley
- From McMaster University, Hamilton, Ont
| | - H Begum
- From McMaster University, Hamilton, Ont
| | - K Pearce
- From McMaster University, Hamilton, Ont
| | | | - W Hanna
- From McMaster University, Hamilton, Ont
| | | | | | - D Jones
- From The Ottawa Hospital, Ottawa, Ont
| | - C Anstee
- From The Ottawa Hospital, Ottawa, Ont
| | - S Kumar
- From The Ottawa Hospital, Ottawa, Ont
| | | | - A Simone
- From The Ottawa Hospital, Ottawa, Ont
| | | | - K Thavorn
- From The Ottawa Hospital, Ottawa, Ont
| | - A Seely
- From The Ottawa Hospital, Ottawa, Ont
| | - V Gupta
- From the University of Toronto, Toronto, Ont
| | | | - A Mohammed
- From the University of Toronto, Toronto, Ont
| | - S Uddin
- From the University of Toronto, Toronto, Ont
| | - D Jones
- From the University of Toronto, Toronto, Ont
| | - A Behzadi
- From the University of Toronto, Toronto, Ont
| | - A Brar
- From the University of Toronto, Toronto, Ont
| | - L Qu
- From Western University, London, Ont
| | - M Qiabi
- From Western University, London, Ont
| | - R Nayak
- From Western University, London, Ont
| | | | - E Peters
- From the University of Manitoba, Winnipeg, Man
| | - G Buduhan
- From the University of Manitoba, Winnipeg, Man
| | - L Tan
- From the University of Manitoba, Winnipeg, Man
| | - R Liu
- From the University of Manitoba, Winnipeg, Man
| | - S Srinathan
- From the University of Manitoba, Winnipeg, Man
| | - B Kidane
- From the University of Manitoba, Winnipeg, Man
| | - V Gupta
- University of Toronto, Toronto, Ont
| | - J Levy
- University of Toronto, Toronto, Ont
| | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | | | | | | | - N Coburn
- University of Toronto, Toronto, Ont
| | - M Robinson
- From the University of Manitoba, Winnipeg, Man
| | - L Bednarek
- From the University of Manitoba, Winnipeg, Man
| | - G Buduhan
- From the University of Manitoba, Winnipeg, Man
| | - R Liu
- From the University of Manitoba, Winnipeg, Man
| | - L Tan
- From the University of Manitoba, Winnipeg, Man
| | - S Srinathan
- From the University of Manitoba, Winnipeg, Man
| | - B Kidane
- From the University of Manitoba, Winnipeg, Man
| | - H Wang
- From Dalhousie University, Halifax, N.S
| | - D French
- From Dalhousie University, Halifax, N.S
| | | | - K Graham
- From the University of Manitoba, Winnipeg, Man
| | - S Enns
- From the University of Manitoba, Winnipeg, Man
| | - G Buduhan
- From the University of Manitoba, Winnipeg, Man
| | - S Srinathan
- From the University of Manitoba, Winnipeg, Man
| | - R Liu
- From the University of Manitoba, Winnipeg, Man
| | - A Tan
- From the University of Manitoba, Winnipeg, Man
| | - B Kidane
- From the University of Manitoba, Winnipeg, Man
| | | | - E Poole
- University of Manitoba, Winnipeg, Man
| | - C Pascoe
- Children's Hospital Research Institute of Manitoba, Winnipeg, Man
| | - T Karakach
- Children's Hospital Research Institute of Manitoba, Winnipeg, Man
| | - G Buduhan
- University of Manitoba, Winnipeg, Man
| | - L Tan
- University of Manitoba, Winnipeg, Man
| | | | - A Halayko
- Children's Hospital Research Institute of Manitoba, Winnipeg, Man
| | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - K Verhoeff
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - B Fang
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - D Birch
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - G Johnson
- From the University of Manitoba, Winnipeg, Man
| | - H Singh
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - J Park
- From the University of Manitoba, Winnipeg, Man
| | - O Hershorn
- From the University of Manitoba, Winnipeg, Man
| | - D Hochman
- From the University of Manitoba, Winnipeg, Man
| | - R Helewa
- From the University of Manitoba, Winnipeg, Man
| | - G Johnson
- From the University of Manitoba, Winnipeg, Man
| | - R Robertson
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - G Johnson
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - H Singh
- From the University of Manitoba, Winnipeg, Man
| | - J Park
- From the University of Manitoba, Winnipeg, Man
| | - R Helewa
- From the University of Manitoba, Winnipeg, Man
| | - A Azin
- From the University of Toronto, Toronto, Ont
| | - C Cahill
- University of Calgary, Calgary, Alta
| | - M Lipson
- University of Calgary, Calgary, Alta
| | - A Afzal
- University of Calgary, Calgary, Alta
| | - A Maclean
- University of Calgary, Calgary, Alta
| | - C Wong
- University of Alberta, Edmonton, Alta
| | - S Roen
- University of Calgary, Calgary, Alta
| | - W Buie
- University of Calgary, Calgary, Alta
| | | | | | - M Chu
- From McMaster University, Hamilton, Ont
| | - Y Lee
- From McMaster University, Hamilton, Ont
| | - N Amin
- From McMaster University, Hamilton, Ont
| | - D Hong
- From McMaster University, Hamilton, Ont
| | | | | | - K Ramji
- McMaster University, Hamilton, Ont
| | - C Kruse
- McMaster University, Hamilton, Ont
| | - H Jaffer
- University of Toronto, Toronto, Ont
| | | | - N Amin
- McMaster University, Hamilton, Ont
| | | | - D Hong
- McMaster University, Hamilton, Ont
| | | | - R Hajjar
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - M Oliero
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - T Cuisiniere
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - G Fragoso
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - A Calvé
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - S Djediai
- Université du Québec à Montréal, Montreal, Que
| | - B Annabi
- Université du Québec à Montréal, Montreal, Que
| | - C Richard
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - M Santos
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - K Purich
- From the University of Alberta, Edmonton, Alta
| | - Y Zhou
- From the University of Alberta, Edmonton, Alta
| | - S Dodd
- From the University of Alberta, Edmonton, Alta
| | - B Ring
- From the University of Alberta, Edmonton, Alta
| | - Y Yuan
- From the University of Alberta, Edmonton, Alta
| | - J White
- From the University of Alberta, Edmonton, Alta
| | | | | | | | - N Morin
- Jewish General Hospital, Montreal, Que
| | | | - J Faria
- Jewish General Hospital, Montreal, Que
| | | | | | - M Boutros
- Jewish General Hospital, Montreal, Que
| | | | - E Salama
- Jewish General Hospital, Montreal, Que
| | | | - N Morin
- Jewish General Hospital, Montreal, Que
| | | | - J Faria
- Jewish General Hospital, Montreal, Que
| | | | - M Boutros
- Jewish General Hospital, Montreal, Que
| | - G Talwar
- McMaster University, Hamilton, Ont
| | - R Daniel
- University of Toronto, Toronto, Ont
| | | | - O Levine
- McMaster University, Hamilton, Ont
| | | | | | | | | | | | | | - N Morin
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | | | - A Chen
- McMaster University, Hamilton, Ont
| | - A Patel
- Western University, London, Ont
| | - Y Lee
- McMaster University, Hamilton, Ont
| | | | - D Hong
- McMaster University, Hamilton, Ont
| | | | | | | | | | - J Moon
- Jewish General Hospital, Montreal, Que
| | - M Demian
- Jewish General Hospital, Montreal, Que
| | | | - N Morin
- Jewish General Hospital, Montreal, Que
| | - M Boutros
- Jewish General Hospital, Montreal, Que
| | - R Selvam
- University of Ottawa, Ottawa, Ont
| | - H Moloo
- University of Ottawa, Ottawa, Ont
| | - H MacRae
- University of Toronto, Toronto, Ont
| | - F Alam
- University of Toronto, Toronto, Ont
| | - I Raiche
- University of Ottawa, Ottawa, Ont
| | - J Holland
- From McGill University, Montreal, Que
| | - M Cwintal
- From McGill University, Montreal, Que
| | - G Rigas
- From McGill University, Montreal, Que
| | | | - N Morin
- From McGill University, Montreal, Que
| | | | - J Faria
- From McGill University, Montreal, Que
| | - A Pang
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | - J Holland
- From McGill University, Montreal, Que
| | - J Moon
- From McGill University, Montreal, Que
| | | | - N Morin
- From McGill University, Montreal, Que
| | | | - A Pang
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | - C Brown
- From St. Paul's Hospital, Vancouver, B.C
| | | | - M Raval
- From St. Paul's Hospital, Vancouver, B.C
| | - P Phang
- From St. Paul's Hospital, Vancouver, B.C
| | - A Ghuman
- From St. Paul's Hospital, Vancouver, B.C
| | - M Li
- University of Calgary, Calgary, Alta
| | - S Muncner
- University of Alberta, Edmonton, Alta
| | | | - M Dykstra
- University of Alberta, Edmonton, Alta
| | | | - H Wang
- University of Alberta, Edmonton, Alta
| | - O Monton
- McMaster University, Hamilton, Ont
| | - A Smith
- Western University, London, Ont
| | - J Moon
- McGill University, Montreal, Que
| | - M Demian
- McGill University, Montreal, Que
| | | | | | | | | | - O AlAamer
- From King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - N AlSelaim
- From King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - M AlMalki
- From King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - A Al-Osail
- From King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - R Ruxton
- From Southland Hospital, Invercargill, New Zealand
| | - P Manuel
- From Southland Hospital, Invercargill, New Zealand
| | - F Mohamed
- From Southland Hospital, Invercargill, New Zealand
| | | | - S Serahati
- University of Saskatchewan, Saskatoon, Saskatchewan
| | | | - C Brown
- Providence Health Care, Vancouver, B.C
| | - M Raval
- Providence Health Care, Vancouver, B.C
| | | | - A Ghuman
- Providence Health Care, Vancouver, B.C
| | - T Phang
- Providence Health Care, Vancouver, B.C
| | | | - J Moon
- McGill University, Montreal, Que
| | | | - S Chadi
- University Health Network, Toronto, Ont
| | - K Alavi
- University of Massachusetts, Amherst, Mass
| | - I Paquette
- University of Cincinnati, Cincinnati, Ohio
| | - T MacLean
- University of Calgary, Calgary, Alta
| | - S Wexner
- Cleveland Clinic Florida, Weston, Fla
| | | | - S Steele
- Cleveland Clinic, Cleveland, Ohio
| | - J Park
- University of Manitoba, Winnipeg, Man
| | - S Patel
- Queen's University, Kingston, Ont
| | | | - R Auer
- The Ottawa Hospital, Ottawa, Ont
| | - P Sylla
- Icahn School of Medicine at Mount Sinai, New York, N.Y
| | - N Morin
- McGill University, Montreal, Que
| | - A Ghuman
- McGill University, Montreal, Que
| | | | - Z Bayat
- From the University of Toronto, Toronto, Ont
| | - E Kennedy
- From the University of Toronto, Toronto, Ont
| | - C Victor
- From the University of Toronto, Toronto, Ont
| | | | - J Liang
- From McGill University, Montreal, Que
| | | | - A Pang
- From McGill University, Montreal, Que
| | | | - J Faria
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | | | - H Roy
- University of Saskatchewan, Saskatoon, Sask
| | - Z Baig
- University of Saskatchewan, Saskatoon, Sask
| | | | - M Raval
- University of British Columbia, Vancouver, B.C
| | - C Brown
- University of British Columbia, Vancouver, B.C
| | - T Phang
- University of British Columbia, Vancouver, B.C
| | - D Gill
- University of Saskatchewan, Saskatoon, Sask
| | - N Ginther
- University of Saskatchewan, Saskatoon, Sask
| | - J Moon
- From McGill University, Montreal, Que
| | | | - A Pang
- From McGill University, Montreal, Que
| | | | - J Faria
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | - J Moon
- From McGill University, Montreal, Que
| | - A Pang
- From McGill University, Montreal, Que
| | | | - J Faria
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | - E Salama
- From McGill University, Montreal, Que
| | | | | | | | - J Faria
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | - V Wiseman
- From Queen's University, Kingston, Ont
| | - L Zhang
- From Queen's University, Kingston, Ont
| | | | | | | | | | - S V Patel
- From Queen's University, Kingston, Ont
| | - Z Harra
- From McGill University, Montreal, Que
| | | | | | - N Morin
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | - A Pang
- From McGill University, Montreal, Que
| | - M Hegagi
- From McGill University, Montreal, Que
| | | | - N Morin
- From McGill University, Montreal, Que
| | | | | | - M Boutros
- From McGill University, Montreal, Que
| | | | | | | | - A Pang
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | | | - N Kasteel
- University of Calgary, Calgary, Alta
| | - G Kaur
- University of Calgary, Calgary, Alta
| | - S Bindra
- University of Calgary, Calgary, Alta
| | - A Malhotra
- Vardhman Mahavir Medical College, New Delhi, India
| | - C Graham
- University of Calgary, Calgary, Alta
| | - A MacLean
- University of Calgary, Calgary, Alta
| | - P Beck
- University of Calgary, Calgary, Alta
| | - H Jijon
- University of Calgary, Calgary, Alta
| | - J Ferraz
- University of Calgary, Calgary, Alta
| | - W Buie
- University of Calgary, Calgary, Alta
| | - R Szwimer
- From McGill University, Montreal, Que
| | - J Moon
- From McGill University, Montreal, Que
| | - M Demian
- From McGill University, Montreal, Que
| | - A Pang
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | | | | | - M Boutros
- From McGill University, Montreal, Que
| | - A Azin
- From the University of Toronto, Toronto, Ont
| | | | - W Kong
- Queen's Cancer Research Institute, Kingston, Ont
| | | | - T Hanna
- Queen's University, Kingston, Ont
| | - W Chung
- Queen's University, Kingston, Ont
| | - S Nanji
- Queen's University, Kingston, Ont
| | - S Patel
- Queen's University, Kingston, Ont
| | - C Booth
- Queen's University, Kingston, Ont
| | - V Li
- From McMaster University, Hamilton, Ont
| | - A Awan
- From McMaster University, Hamilton, Ont
| | - P Serrano
- From McMaster University, Hamilton, Ont
| | - M Jacobson
- From the University of Calgary, Calgary, Alta
| | - M Chanco
- From the University of Calgary, Calgary, Alta
| | - V Wen
- From the University of Calgary, Calgary, Alta
| | - N Singh
- From the University of Calgary, Calgary, Alta
| | - L Peiris
- From the University of Calgary, Calgary, Alta
| | - J Pasieka
- From the University of Calgary, Calgary, Alta
| | - P Ghatage
- From the University of Calgary, Calgary, Alta
| | - D Buie
- From the University of Calgary, Calgary, Alta
| | - T MacLean
- From the University of Calgary, Calgary, Alta
| | | | - L Mack
- From the University of Calgary, Calgary, Alta
| | - W Marini
- From the University of Toronto, Toronto, Ont
| | - W Zheng
- From the University of Toronto, Toronto, Ont
| | - C Swallow
- From the University of Toronto, Toronto, Ont
| | - M Reedijk
- From the University of Toronto, Toronto, Ont
| | | | - L Peiris
- From the University of Alberta, Edmonton, Alta
| | | | - L Delmar
- From the University of Alberta, Edmonton, Alta
| | - N Gagnon
- Université de Sherbrooke, Sherbrooke, Que
| | | | | | | | | | | | - S Mysuria
- From the University of British Columbia, Vancouver, B.C
| | - A Bazzarelli
- From the University of British Columbia, Vancouver, B.C
| | - J Pao
- From the University of British Columbia, Vancouver, B.C
| | - L Chen
- From the University of British Columbia, Vancouver, B.C
| | - M Zhang
- From the University of British Columbia, Vancouver, B.C
| | - E McKevitt
- From the University of British Columbia, Vancouver, B.C
| | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - U Kuusk
- From the University of British Columbia, Vancouver, B.C
| | - N Van Laeken
- From the University of British Columbia, Vancouver, B.C
| | - E Bovill
- From the University of British Columbia, Vancouver, B.C
| | - K Isaac
- From the University of British Columbia, Vancouver, B.C
| | - C Dingee
- From the University of British Columbia, Vancouver, B.C
| | | | | | | | - L Barbera
- University of Calgary, Calgary, Alta
| | - Y Efegoma
- University of Calgary, Calgary, Alta
| | - D Howell
- Princess Margaret Research Institute, Toronto, Ont
| | | | | | - A Scheer
- St. Michael's Hospital, Toronto, Ont
| | - C Simmons
- University of British Columbia, Vancouver, B.C
| | | | | | - Y Xu
- University of Calgary, Calgary, Alta
| | | | - M Quan
- University of Calgary, Calgary, Alta
| | - A Alqaydi
- From Queen's University, Kingston, Ont
| | - J la
- From Queen's University, Kingston, Ont
| | | | - G Digby
- From Queen's University, Kingston, Ont
| | - V Pravong
- University of Montreal, Montreal, Que
| | | | - L Sidéris
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - P Dubé
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | | | - S Fortin
- University of Montreal, Montreal, Que
| | - M Auclair
- University of Montreal, Montreal, Que
| | - B Trilling
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - J Tremblay
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - É Di Lena
- From McGill University, Montreal, Que
| | - B Hopkins
- From McGill University, Montreal, Que
| | - S Wong
- From McGill University, Montreal, Que
| | | | - É Di Lena
- From McGill University, Montreal, Que
| | - N Barone
- From McGill University, Montreal, Que
| | - B Hopkins
- From McGill University, Montreal, Que
| | - S Dumitra
- From McGill University, Montreal, Que
| | - P Kaneva
- From McGill University, Montreal, Que
| | - J Fiore
- From McGill University, Montreal, Que
| | | | - S Mysuria
- From the University of British Columbia, Vancouver, B.C
| | - E McKevitt
- From the University of British Columbia, Vancouver, B.C
| | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - L Chen
- From the University of British Columbia, Vancouver, B.C
| | - A Bazzarelli
- From the University of British Columbia, Vancouver, B.C
| | - J Pao
- From the University of British Columbia, Vancouver, B.C
| | - E Bovill
- From the University of British Columbia, Vancouver, B.C
| | - M Zhang
- From the University of British Columbia, Vancouver, B.C
| | - U Kuusk
- From the University of British Columbia, Vancouver, B.C
| | - K Isaac
- From the University of British Columbia, Vancouver, B.C
| | - N Van Laeken
- From the University of British Columbia, Vancouver, B.C
| | - C Dingee
- From the University of British Columbia, Vancouver, B.C
| | - H Kapur
- From the University of British Columbia, Vancouver, B.C
| | - E McKevitt
- From the University of British Columbia, Vancouver, B.C
| | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - J Pao
- From the University of British Columbia, Vancouver, B.C
| | - C Dingee
- From the University of British Columbia, Vancouver, B.C
| | - A Bazarelli
- From the University of British Columbia, Vancouver, B.C
| | - U Kuusk
- From the University of British Columbia, Vancouver, B.C
| | - L Chen
- From the University of British Columbia, Vancouver, B.C
| | - L Cadili
- From the University of British Columbia, Vancouver, B.C
| | - K DeGirolamo
- From the University of British Columbia, Vancouver, B.C
| | - E McKevitt
- From the University of British Columbia, Vancouver, B.C
| | - J Pao
- From the University of British Columbia, Vancouver, B.C
| | - C Dingee
- From the University of British Columbia, Vancouver, B.C
| | - A Bazzarelli
- From the University of British Columbia, Vancouver, B.C
| | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - D Ng
- From the University of Toronto, Toronto, Ont
| | - A Ali
- From the University of Toronto, Toronto, Ont
| | - D Eymae
- From the University of Toronto, Toronto, Ont
| | - K Lee
- From the University of Toronto, Toronto, Ont
| | - S Brar
- From the University of Toronto, Toronto, Ont
| | - J Conner
- From the University of Toronto, Toronto, Ont
| | - M Magalhaes
- From the University of Toronto, Toronto, Ont
| | - C Swallow
- From the University of Toronto, Toronto, Ont
| | - K Allen
- From the University of British Columbia, Vancouver, B.C
| | - C Baliski
- From the University of British Columbia, Vancouver, B.C
| | - D Cyr
- University of Toronto, Toronto, Ont
| | - A Sari
- Sinai Health System, Toronto, Ont
| | | | - D Driman
- London Health Sciences Centre, London, Ont
| | | | - A Juda
- Sinai Health System, Toronto, Ont
| | | | | | - M Brar
- University of Toronto, Toronto, Ont
| | - J Conner
- Sinai Health System, Toronto, Ont
| | - R Kirsch
- Sinai Health System, Toronto, Ont
| | | | - K Singh
- University of Toronto, Toronto, Ont
| | | | - Y Gamache
- ASDevices, Spira Innovations, Thetford, Que
| | | | - C Mardinger
- From the University of Calgary, Calgary, Alta
| | - C Lee
- From the University of Calgary, Calgary, Alta
| | - R Duckworth
- From the University of Calgary, Calgary, Alta
| | - M Brindle
- From the University of Calgary, Calgary, Alta
| | - F Fraulin
- From the University of Calgary, Calgary, Alta
| | - L Austen
- From the University of Calgary, Calgary, Alta
| | - J Kortbeek
- From the University of Calgary, Calgary, Alta
| | - M Hyndman
- From the University of Calgary, Calgary, Alta
| | - D Nguyen
- From McGill University, Montreal, Que
| | - G Jamjoum
- From McGill University, Montreal, Que
| | | | - S Langer
- University of Calgary, Calgary, Alta
| | - Y Yuan Xu
- University of Calgary, Calgary, Alta
| | - S Kong
- Alberta Health Services, Calgary, Alta
| | - M Quan
- University of Calgary, Calgary, Alta
| | - D Lim
- Women's College Hospital, Toronto, Ont
| | | | | | - K Butler
- University Health Network, Toronto, Ont
| | | | - T Cil
- University of Toronto, Toronto, Ont
| | - T Zhong
- University of Toronto, Toronto, Ont
| | - S Hofer
- University of Toronto, Toronto, Ont
| | | | | | - D Lim
- Women's College Hospital, Toronto, Ont
| | - B Greene
- University of Toronto, Toronto, Ont
| | | | - M Parapini
- University of British Columbia, Vancouver, B.C
| | - J Skipworth
- University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, U.K
| | - A Mah
- University of British Columbia, Vancouver, B.C
| | - S Desai
- University of British Columbia, Vancouver, B.C
| | - S Chung
- University of British Columbia, Vancouver, B.C
| | - C Scudamore
- University of British Columbia, Vancouver, B.C
| | - M Segedi
- University of British Columbia, Vancouver, B.C
| | - E Vasilyeva
- University of British Columbia, Vancouver, B.C
| | - J Li
- University of British Columbia, Vancouver, B.C
| | - P Kim
- University of British Columbia, Vancouver, B.C
| | - K Verhoeff
- From the University of Alberta, Edmonton, Alta
| | - A Deprato
- From the University of Alberta, Edmonton, Alta
| | - K Purich
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - D Bigam
- From the University of Alberta, Edmonton, Alta
| | - K Dajani
- From the University of Alberta, Edmonton, Alta
| | - T Lenet
- University of Ottawa, Ottawa, Ont
| | | | - R Smoot
- Mayo Clinic, Rochester, Minn
| | - G Martel
- The Ottawa Hospital, Ottawa, Ont
| | - C Tzeng
- MD Anderson Cancer Center, Houston, Tex
| | - F Rocha
- Oregon Health & Science University, Portland, Ore
| | | | | | | | | | | | | | - N Hanna
- Queen's University, Kingston, Ont
| | - S Brogly
- Queen's University, Kingston, Ont
| | | | - C Booth
- Queen's University, Kingston, Ont
| | - S Nanji
- Queen's University, Kingston, Ont
| | | | - N Coburn
- University of Toronto, Toronto, Ont
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | - J Callum
- Queen's University, Kingston, Ont
| | | | | | - A Wei
- Memorial Sloan Kettering Cancer Center, New York, N.Y
| | | | - J Hallet
- University of Toronto, Toronto, Ont
| | | | | | - A Wei
- Memorial Sloan Kettering Cancer Center, New York, N.Y
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | | | - G Martel
- University of Ottawa, Ottawa, Ont
| | - N Coburn
- University of Toronto, Toronto, Ont
| | - J Hallet
- University of Toronto, Toronto, Ont
| | - D Henault
- From the University of Montreal, Montreal, Que
| | - B Barrette
- From the University of Montreal, Montreal, Que
| | - S Pelletier
- From the University of Montreal, Montreal, Que
| | - P Thebault
- From the University of Montreal, Montreal, Que
| | | | - Z Rong
- From the University of Montreal, Montreal, Que
| | - M Plasse
- From the University of Montreal, Montreal, Que
| | | | | | - R Lapointe
- From the University of Montreal, Montreal, Que
| | | | - B Nguyen
- From the University of Montreal, Montreal, Que
| | - G Soucy
- From the University of Montreal, Montreal, Que
| | - S Turcotte
- From the University of Montreal, Montreal, Que
| | - M Lemke
- From Western University, London, Ont
| | - E Waugh
- From Western University, London, Ont
| | - K Leslie
- From Western University, London, Ont
| | - D Quan
- From Western University, London, Ont
| | - A Skaro
- From Western University, London, Ont
| | - E Tang
- From Western University, London, Ont
| | - M Lund
- From the University of Western Ontario, London, Ont
| | - L Allen
- From the University of Western Ontario, London, Ont
| | - J Glinka
- From the University of Western Ontario, London, Ont
| | - G Jada
- From the University of Western Ontario, London, Ont
| | - D Quan
- From the University of Western Ontario, London, Ont
| | - A Skaro
- From the University of Western Ontario, London, Ont
| | - E Tang
- From the University of Western Ontario, London, Ont
| | - L Park
- McMaster University, Hamilton, Ont
| | - J Daza
- University of Toronto, Toronto, Ont
| | - V Li
- McMaster University, Hamilton, Ont
| | | | - B Zhang
- McMaster University, Hamilton, Ont
| | | | - S Faisal
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - R Faisal
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - M Fabbro
- University of Toronto, Toronto, Ont
| | - C Gu
- McMaster University, Hamilton, Ont
| | | | - V Zuk
- University of Toronto, Toronto, Ont
| | - J Hallet
- University of Toronto, Toronto, Ont
| | - G Martel
- University of Ottawa, Ottawa, Ont
| | | | | | - J Glinka
- From the Western University, London, Ont
| | - A Skaro
- From the Western University, London, Ont
| | - K Leslie
- From the Western University, London, Ont
| | - G Jada
- From the Western University, London, Ont
| | - D Quan
- From the Western University, London, Ont
| | - E Tang
- From the Western University, London, Ont
| | - E Waugh
- From Western University, London, Ont
| | - M Lemke
- From Western University, London, Ont
| | - J Glinka
- From Western University, London, Ont
| | - A Skaro
- From Western University, London, Ont
| | - K Leslie
- From Western University, London, Ont
| | - E Tang
- From Western University, London, Ont
| | - E Waugh
- From Western University, London, Ont
| | | | - R Liu
- From Western University, London, Ont
| | - E Tang
- From Western University, London, Ont
| | - L Allen
- From Western University, London, Ont
| | - S Welch
- From Western University, London, Ont
| | - A Skaro
- From Western University, London, Ont
| | - K Leslie
- From Western University, London, Ont
| | - J Glinka
- From Western University, London, Ont
| | - E Waugh
- From Western University, London, Ont
| | - E Tang
- From Western University, London, Ont
| | - G Jada
- From Western University, London, Ont
| | - D Quan
- From Western University, London, Ont
| | - A Skaro
- From Western University, London, Ont
| | - A Webb
- From the University of Alberta, Edmonton, Alta
| | - E Lester
- From the University of Alberta, Edmonton, Alta
| | - A Shapiro
- From the University of Alberta, Edmonton, Alta
| | - D Eurich
- From the University of Alberta, Edmonton, Alta
| | - D Bigam
- From the University of Alberta, Edmonton, Alta
| | - Y Essaji
- From Virginia Mason Medical Center, Seattle, Wash
| | - H Shrader
- From the University of Iowa, Iowa City, Iowa
| | - A Nayyar
- From the University of Iowa, Iowa City, Iowa
| | - M Suraju
- From the University of Iowa, Iowa City, Iowa
| | | | - P Ear
- From the University of Iowa, Iowa City, Iowa
| | - C Chan
- From the University of Iowa, Iowa City, Iowa
| | - V Smith
- From Dalhousie University, Halifax, N.S
| | | | - A Costa
- From Dalhousie University, Halifax, N.S
| | - A Stueck
- From Dalhousie University, Halifax, N.S
| | | | - S Allen
- From Dalhousie University, Halifax, N.S
| | | | | | - T Lenet
- University of Ottawa, Ottawa, Ont
| | | | - R Smoot
- Mayo Clinic, Rochester, Minn
| | - C Tzeng
- MD Anderson Cancer Center, Houston, Tex
| | - F Rocha
- Oregon Health and Science University, Portland, Ore
| | - G Martel
- University of Ottawa, Ottawa, Ont
| | | | - Z Mir
- From Queen's University, Kingston, Ont
| | - H Golding
- From Queen's University, Kingston, Ont
| | - S McKeown
- From Queen's University, Kingston, Ont
| | - S Nanji
- From Queen's University, Kingston, Ont
| | | | - P Groome
- From Queen's University, Kingston, Ont
| | - Z Mir
- From Queen's University, Kingston, Ont
| | | | - S Nanji
- From Queen's University, Kingston, Ont
| | | | - P Groome
- From Queen's University, Kingston, Ont
| | - S Elbekri
- University of Sherbrooke, Sherbrooke, Que
| | - S Turcotte
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - E Girard
- Centre hospitalier universitaire de Grenoble Alpes, Grenoble, France
| | | | - R Lapointe
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | | | - M Dagenais
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - A Roy
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - R Letourneau
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - M Plasse
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - E Simoneau
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - Z Rong
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - N Zuker
- From SUNY Upstate Medical University, Syracuse, N.Y
| | - M Oakley
- From SUNY Upstate Medical University, Syracuse, N.Y
| | - G Chartrand
- From the University of Montreal, Montreal, Que
| | - B Misheva
- From the University of Montreal, Montreal, Que
| | - Y Bendavid
- From the University of Montreal, Montreal, Que
| | - J Frigault
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Lemieux
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - D Breton
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - G Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Drolet
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | | | - L Smith
- North York General Hospital, North York, Ont
| | - J Tan
- Humber River Hospital, North York, Ont
| | - U Kahn
- University of Toronto, Toronto, Ont
| | - C McLean
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - D Birch
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - M Fortin
- Centre hospitalier affilié universitaire régional de Trois-Rivières, Trois-Rivières, Que
| | - X Paré
- Centre hospitalier affilié universitaire régional de Trois-Rivières, Trois-Rivières, Que
| | - A Doyon
- Centre hospitalier affilié universitaire régional de Trois-Rivières, Trois-Rivières, Que
| | | | | | - J Yadav
- University of Toronto, Toronto, Ont
| | - S Fischer
- University Health Network, Toronto, Ont
| | - T Jackson
- University Health Network, Toronto, Ont
| | - J Allard
- University Health Network, Toronto, Ont
| | | | - Y Lee
- McMaster University, Hamilton, Ont
| | - S Anvari
- McMaster University, Hamilton, Ont
| | - M Chu
- McMaster University, Hamilton, Ont
| | | | - I Aditya
- University of Toronto, Toronto, Ont
| | - R Malhan
- McMaster University, Hamilton, Ont
| | | | - M Walsh
- McMaster University, Hamilton, Ont
| | | | - D Hong
- McMaster University, Hamilton, Ont
| | - W He
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - K Hardy
- From the University of Manitoba, Winnipeg, Man
| | - R Romanescu
- From the University of Manitoba, Winnipeg, Man
| | - F Deaninck
- From the University of Manitoba, Winnipeg, Man
| | - J Linton
- From the University of Manitoba, Winnipeg, Man
| | | | | | - G Shingoose
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - K Hardy
- From the University of Manitoba, Winnipeg, Man
| | | | | | | | - Y Lee
- From McMaster University, Hamilton, Ont
| | - V Archer
- From McMaster University, Hamilton, Ont
| | | | - J Shiroky
- From McMaster University, Hamilton, Ont
| | | | - K Ramji
- From McMaster University, Hamilton, Ont
| | | | - A Mierzwa
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - G Marcil
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - D Birch
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - A Mierzwa
- From the University of Alberta, Edmonton, Alta
| | - A Jarrar
- The Ottawa Hospital, Ottawa, Ont
| | | | | | - W Lin
- University of Toronto, Toronto, Ont
| | - J Hagen
- Humber River Hospital, North York, Ont
| | - M Connell
- From the University of Alberta, Edmonton, Alta
| | - W Sun
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - D Birch
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
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Saberwal B, Patel K, Scully PR, Klotz E, Seraphim A, Augusto J, Vandermolen S, Knott K, Thornton GD, Haberland U, Sutcliffe J, Khanji MY, Moon JC, Treibel TA, Pugliese F. Computed tomography vs cardiovascular magnetic resonance imaging derived extracellular volume fraction in patients with stable new-onset chest pain. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.0153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Computed tomography (CT) is increasingly recognised as a diagnostic modality across a range of cardiovascular conditions and is now first-line for the investigation of stable new-onset chest pain. Determination of the myocardial extracellular volume fraction (ECV) has been shown to correlate well with the identification and prognostication of disease. Cardiovascular magnetic resonance (CMR) imaging remains the gold standard for the measurement of myocardial ECVCMR using T1-mapping, but there is increasing evidence for the use of ECV by cardiac CT (ECVCT).
Purpose
To assess the performance of ECVCT against the reference standard of ECVCMR.
Methods
Patients with a history of chest pain and no previously documented coronary disease referred for invasive angiography were recruited as part of the EVINCI Heart-QIT study. A cohort of these patients (n=33) underwent CMR at 1.5T (Siemens Aera, Siemens Healthcare, Erlangen/Germany) with T1 mapping of a mid-ventricular short axis slice (by MOdified Look-Locker Inversion recovery [MOLLI]) before and 15 minutes after a bolus of gadolinium contrast (0.1 mmol/kg gadoterate meglumine), followed by whole-heart ECVCT quantification (Somatom Force, Siemens Healthcare, Erlangen/Germany) using a 5-min post-iodine-contrast acquisition protocol. To account for data clustering on a patient level and volumetric discrepancy on a modality level, comparisons were made using mid-ventricular pooled ECVCT and ECVCMR. Bland-Altman analysis was used to determine the limits of agreement and identify systematic differences between both measures.
Results
A total of 33 patients (70% male, mean age 56.8±12.6yr) underwent the combined CMR and CT. ECVCMR and ECVCT were then analysed retrospectively (Figure 1). The average pooled ECV for the 6 mid-ventricular segments for CMR and CT were (27.6±2.4 and 26.8±2.2 respectively). Bland-Altman analysis demonstrated a marginally higher CMR-ECV (0.8±2.1) vs CT-ECV, which is in keeping with the longer delay-time encountered in CMR protocols (Figure 2).
Conclusions
ECVCT obtained from 5-minute post-contrast CT protocols show good agreement with ECVCMR in a stable chest pain patient cohort.
Funding Acknowledgement
Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): Siemens Helthineers Educational Grant Figure 1. CMR (L) and CT (R) ECV mapsFigure 2. Bland-Altman plot
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Affiliation(s)
- B Saberwal
- Barts Heart Centre, Advanced Cardiovascular Imaging, London, United Kingdom
| | - K Patel
- University College Hospital, Institute of cardiovascular sciences, London, United Kingdom
| | - P R Scully
- University College Hospital, Institute of cardiovascular sciences, London, United Kingdom
| | - E Klotz
- Siemens Healthineers, Forchheim, Germany
| | - A Seraphim
- University College Hospital, Institute of cardiovascular sciences, London, United Kingdom
| | - J Augusto
- University College Hospital, Institute of cardiovascular sciences, London, United Kingdom
| | - S Vandermolen
- Barts Heart Centre, Advanced Cardiovascular Imaging, London, United Kingdom
| | - K Knott
- University College Hospital, Institute of cardiovascular sciences, London, United Kingdom
| | - G D Thornton
- Barts Heart Centre, Advanced Cardiovascular Imaging, London, United Kingdom
| | | | - J Sutcliffe
- Barts Heart Centre, Advanced Cardiovascular Imaging, London, United Kingdom
| | - M Y Khanji
- Barts Heart Centre, Advanced Cardiovascular Imaging, London, United Kingdom
| | - J C Moon
- University College Hospital, Institute of cardiovascular sciences, London, United Kingdom
| | - T A Treibel
- University College Hospital, Institute of cardiovascular sciences, London, United Kingdom
| | - F Pugliese
- Queen Mary University of London, Barts Heart Centre, Advanced Cardiovascular Imaging, London, United Kingdom
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30
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Husselbury T, Godec T, Murphy T, Hughes RR, Omahony C, Moon J, Dhinoja MB, Petersen SE, Mohiddin SA, Malcolmson JW. Multi-modality imaging in hypertrophic cardiomyopathy: intermodal discrepancies in key prognostic parameters. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background/Introduction
Multi-modality imaging is crucial for confirming diagnosis and assessing prognosis in patients with hypertrophic cardiomyopathy (HCM). However, inter-modality discrepancies in key parameters are commonly reported.
Purpose
To assess real-world inter-modal reporting discrepancies between transthoracic echocardiography (TTE) and cardiac magnetic resonance (CMR) imaging in the measurement of four key parameters in HCM patients.
Methods
Consecutive HCM patients with TTE and CMR performed within 6 months of each other at a tertiary centre were retrospectively assessed for reported maximum wall thickness (MWT), left atrial diameter (LAd), left ventricular ejection fraction (LVEF) and presence of left ventricular apical aneurysm (LVAA). The CMR report was considered gold standard. Data are reported as mean ± standard deviation (SD) or median and interquartile range (IQR) as appropriate.
Results
353 consecutive HCM patients (72% male, median age 60.9 years, IQR 49.8–71.6 years) with TTE and CMR within 6 months (median difference 1.7 months, IQR 1.1–3.4 months) were assessed between 4th January 2018 and 9th April 2019. Of 284 patients with paired MWT data, median difference was 0.0 mm (IQR −1.0 to 3.0 mm, p=0.02), likely representing a difference in distributions of MWT. TTE both over and underestimated MWT (in 36% and 46% cases respectively).
Of the 94 patients with paired LAd data, mean difference was 0.4±5.7 mm (95% CI −0.8010 to 1.546, p=0.5).
N=320 patients with paired LVEF data (after excluding patients with atrial fibrillation (n=20)). Median difference in LVEF was 12% (IQR 5–19% p<0.0001). TTE underestimated LVEF in 88% of cases. CMR and TTE both identified 14 (5%) patients as having LVEF <50%. There were however 8 cases of disagreement in classification of LVEF <50%, due to over (n=4) or underestimation (n=4) by TTE.
LVAA was accurately identified by TTE in only 9/30 (30%) of those patients with demonstrable LVAA by CMR (p=0.0008). TTE evidence of a discreet apical chamber (paradoxical jet on spectral or colour Doppler) was present in 16/21 (76%) cases where TTE failed to overtly identify LVAA. However, apical or mid-cavity obliteration was reported in 15/21 (71%) cases where TTE failed to identify LVAA.
Conclusion(s)
Echocardiography and CMR measurements are often used interchangeably in clinical practice but inter-modality discrepancies can affect diagnosis and sudden cardiac death (SCD) risk assessment. This is particularly important for binary risk factors such as LVEF<50% or LVAA which are considered major SCD risk factors in the latest American Heart Association guidelines. 25 (7%) patients in our cohort had major risk factors identified by CMR that were not identified on TTE. CMR is an important, recommended tool where TTE imaging is suboptimal, but attention to more subtle elements of abnormal intracavity blood flow may be able to increase LVAA detection during TTE.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- T Husselbury
- Barts Health NHS Trust, Cardiology, London, United Kingdom
| | - T Godec
- William Harvey Research Institute, London, United Kingdom
| | - T Murphy
- Barts Health NHS Trust, Cardiology, London, United Kingdom
| | - R R Hughes
- Barts Health NHS Trust, Cardiology, London, United Kingdom
| | - C Omahony
- Barts Health NHS Trust, Cardiology, London, United Kingdom
| | - J Moon
- Barts Health NHS Trust, Cardiology, London, United Kingdom
| | - M B Dhinoja
- Barts Health NHS Trust, Cardiology, London, United Kingdom
| | - S E Petersen
- Barts Health NHS Trust, Cardiology, London, United Kingdom
| | - S A Mohiddin
- Barts Health NHS Trust, Cardiology, London, United Kingdom
| | - J W Malcolmson
- Barts Health NHS Trust, Cardiology, London, United Kingdom
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31
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Topriceanu C, Moon JC, Hardy R, Hughes AD, Captur G. Childhood bradycardia associates with atrioventricular conduction defects in older age: a longitudinal birth cohort study. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
A high resting heart rate (RHR) has been associated with cardiovascular morbidity and mortality. However, little is known about the long-term effects of childhood bradycardia.
Purpose
This study aimed to explore the association between childhood bradycardia and later-life cardiac phenotype using longitudinal data from the 1946 Medical Research Council National Survey of Health and Development (NSHD) birth cohort.
Methods
RHR was recorded at ages 6 and 7 to provide the bradycardia exposure defined as a childhood RHR<75. Three outcomes were studied: i) echocardiographic data at 60–64 consisting of ejection fraction (EF), left ventricular mass index (LVmassi), myocardial contraction fraction index (MCFi) and E/e'; ii) electrocardiographic (ECG) evidence of atrio-ventricular (AV) conduction defects (Minnesota categories: 6-1, 6-2-1, 6-2-2, 6-2-3, 6-3, 6-8, 8-5-1, 8-5-2, 8-6-1, 8-6-2, 8-6-3 and 8-6-4) or ventricular conduction defects (any Minnesota group 7) by age 60–64; and iii) all-cause and cardiovascular mortality. Generalized linear models (glm) with gamma distribution were used for echocardiographic analyses, glms with binomial distribution for ECG analyses and Cox proportional hazards models for mortality. Adjustment was made for relevant demographic and health-related covariates, and for multiple testing. In order to account for within-subject correlated repeated measures at 6 and 7 years of age, mixed glms (glmms) were used as a sensitivity analysis. To explore any nonlinear relationships, we modeled each outcome as a sum of best fitting fractional polynomials of RHR at 6 and 7 (as continuous variables) and covariates using a “closed test procedure” with backward elimination.
Results
The number of participants included was: 4381 for mortality, 1631 for ECG and 1617 for echocardiography analyses. Childhood bradycardia was associated with male sex (p<0.0001) and higher BMI (p=0.009). In fully adjusted models, childhood bradycardia was associated with 2.91 higher odds of AV conduction defects (95% confidence interval [CI] 1.59–5.31, p=0.0005), even at a false discovery rate of 0.05. Associations persisted in random coefficients glmm models (odds ratio 2.50, 95% CI 1.01–4.31). The fractional polynomials analyses revealed that the log odds of AV conduction defects at 60–64 years of age were linearly associated with RHR at 7 years. There was no association between bradycardia in childhood and ventricular conduction defects, echocardiographic parameters or mortality outcomes.
Conclusions
Longitudinal data indicate that childhood bradycardia trebles the odds of having AV conduction defects, but does not influence mortality or heart size and function in older age. As one in three older adults with AV conduction defects will have been bradycardic in childhood, future research should concentrate on identifying children at risk, the potential mechanisms involved and whether AV blocking drugs accelerate nodal dysfunction.
Funding Acknowledgement
Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): British Heart Foundation (MyoFit46 Special Programme Grant SP/20/2/34841)
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Affiliation(s)
- C Topriceanu
- University College London, UCL MRC Unit of Lifelong Health and Ageing, London, United Kingdom
| | - J C Moon
- University College London, UCL Institute of Cardiovascular Science, London, United Kingdom
| | - R Hardy
- University College London, CLOSER, UCL Institute of Education, London, United Kingdom
| | - A D Hughes
- University College London, UCL MRC Unit of Lifelong Health and Ageing, London, United Kingdom
| | - G Captur
- University College London, UCL MRC Unit of Lifelong Health and Ageing, London, United Kingdom
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Dowsing B, Cash L, Webb E, Moon JC, Manisty CH, Bhuva AN. MRI provision for patients with cardiac implantable electronic devices: understanding the real-world administrative requirements of service delivery. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.3042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Introduction
Patients with cardiac implantable electronic devices (CIEDs) should have access to Magnetic Resonance Imaging (MRI) but are less likely to be referred and hospitals lack provision. A major barrier to service delivery is the administrative demand required to obtain accurate CIED details prior to scheduling. We aimed to understand the administrative requirements of a high-volume Cardiac Device-MRI service to inform the design of an electronic referrals platform that can facilitate workflow.
Methods
Single centre retrospective audit of a high-volume Cardiac Device-MRI service in a tertiary unit in the UK. Six months of referrals were reviewed for patient and CIED details and barriers met. Referrals were stratified by source, indication, MR-Conditional labelling and referrer.
Results
Administrative barriers were reviewed for 116 patients with CIEDs referred for MRI (48% cardiac, 52% non-cardiac) between September 2020 and March 2021 (Table 1). Referrers were 47% cardiologists and 53% other specialties. Referral to scan time was 15 days (interquartile range, 8–32). There were no scan-related complications.
34% of referrals contained complete CIED details and 30% stated the MR labelling of the CIED. None incorrectly labelled a CIED as MR-Conditional, but 8% incorrectly labelled as non-MR Conditional. 7 additional days were required to obtain complete CIED details where not provided (involving information requests from two device clinics in 27%), 10% had delays over 2 weeks (maximum 145 days). 35% required 3 or more repeat discussions with referrers after initial referral. Obtaining CIED information for external referrals required 17 days (11–42), compared to 14 (6–35) days for internal referrals (p=0.25).
Patients with non-MR Conditional CIEDs required on average 14 days longer to obtain complete referral details than patients with MR-Conditional CIEDs. Even when referrers were aware of non-MR Conditional labelling and received information on risk, 41% required further discussion between patient and referrer regarding risks and benefits of MRI scanning. For cancer referrals, obtaining correct details took 1 day longer than other referrals (p=0.074) and required 2 extra emails to maintain provision within the national time-to-treatment target of 62 days. Missing data was similarly present in referrals from Cardiologists and non-Cardiologists (59% versus 61% respectively), but non-Cardiologists recorded more incorrect CIED details (8% vs 0%).
Conclusions
Referral for MRI in patients with CIEDs demands significant administrative input to obtain correct device information, leading to delays. These delays are greater for patients with non-MR conditional CIEDs, and data provided is often incorrect or incomplete. This may explain why some patients are not referred for MRI. An online referrals platform has been developed to streamline this process, initially deployed through a network of 60 centres registered in the UK.
Funding Acknowledgement
Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): This work is supported by British Heart Foundation Innovations funding (HFHF_016).
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Affiliation(s)
- B Dowsing
- Barts Heart Centre, Greater London, United Kingdom
| | - L Cash
- Barts Heart Centre, Greater London, United Kingdom
| | - E Webb
- Barts Heart Centre, Greater London, United Kingdom
| | - J C Moon
- Barts Heart Centre, Greater London, United Kingdom
| | - C H Manisty
- Barts Heart Centre, Greater London, United Kingdom
| | - A N Bhuva
- Barts Heart Centre, Greater London, United Kingdom
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33
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Abratenko P, An R, Anthony J, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Book JY, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Cianci D, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Dennis SR, Devitt D, Diurba R, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Evans JJ, Fine R, Fiorentini Aguirre GA, Fitzpatrick RS, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hall E, Hen O, Horton-Smith GA, Hourlier A, Itay R, James C, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kamp N, Kaneshige N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Lin K, Littlejohn BR, Louis WC, Luo X, Manivannan K, Mariani C, Marsden D, Marshall J, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor AF, Moore CD, Mora Lepin L, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Neely RK, Nowak J, Nunes M, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate SF, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Prince S, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rice LCJ, Rochester L, Rodriguez Rondon J, Rogers HE, Rosenberg M, Ross-Lonergan M, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Siegel H, Sinclair J, Smith A, Snider EL, Soderberg M, Söldner-Rembold S, Spentzouris P, Spitz J, Stancari M, John JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc AM, Tagg N, Tang W, Terao K, Thorpe C, Totani D, Toups M, Tsai YT, Uchida MA, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wright N, Wu W, Yandel E, Yang T, Yarbrough G, Yates LE, Zeller GP, Zennamo J, Zhang C. Search for a Higgs Portal Scalar Decaying to Electron-Positron Pairs in the MicroBooNE Detector. Phys Rev Lett 2021; 127:151803. [PMID: 34678031 DOI: 10.1103/physrevlett.127.151803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 08/11/2021] [Accepted: 09/10/2021] [Indexed: 06/13/2023]
Abstract
We present a search for the decays of a neutral scalar boson produced by kaons decaying at rest, in the context of the Higgs portal model, using the MicroBooNE detector. We analyze data triggered in time with the Fermilab NuMI neutrino beam spill, with an exposure of 1.93×10^{20} protons on target. We look for monoenergetic scalars that come from the direction of the NuMI hadron absorber, at a distance of 100 m from the detector, and decay to electron-positron pairs. We observe one candidate event, with a standard model background prediction of 1.9±0.8. We set an upper limit on the scalar-Higgs mixing angle of θ<(3.3-4.6)×10^{-4} at the 95% confidence level for scalar boson masses in the range (100-200) MeV/c^{2}. We exclude, at the 95% confidence level, the remaining model parameters required to explain the central value of a possible excess of K_{L}^{0}→π^{0}νν[over ¯] decays reported by the KOTO collaboration. We also provide a model-independent limit on a new boson X produced in K→πX decays and decaying to e^{+}e^{-}.
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Affiliation(s)
- P Abratenko
- Tufts University, Medford, Massachusetts 02155, USA
| | - R An
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - J Anthony
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - J Asaadi
- University of Texas, Arlington, Texas 76019, USA
| | - A Ashkenazi
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- Tel Aviv University, Tel Aviv 69978, Israel
| | - S Balasubramanian
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - B Baller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Barnes
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - G Barr
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - V Basque
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | | | | | - S Berkman
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A Bhanderi
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Bhat
- Syracuse University, Syracuse, New York 13244, USA
| | - M Bishai
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Blake
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - T Bolton
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - J Y Book
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - L Camilleri
- Columbia University, New York, New York 10027, USA
| | - D Caratelli
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Caro Terrazas
- Colorado State University, Fort Collins, Colorado 80523, USA
| | | | - F Cavanna
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Cerati
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y Chen
- Universität Bern, Bern CH-3012, Switzerland
| | - D Cianci
- Columbia University, New York, New York 10027, USA
| | - J M Conrad
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Convery
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - L Cooper-Troendle
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - J I Crespo-Anadón
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid E-28040, Spain
| | - M Del Tutto
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S R Dennis
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - D Devitt
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - R Diurba
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - R Dorrill
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - K Duffy
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S Dytman
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - B Eberly
- University of Southern Maine, Portland, Maine 04104, USA
| | | | - J J Evans
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - R Fine
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - G A Fiorentini Aguirre
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | | | - B T Fleming
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - N Foppiani
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - D Franco
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - A P Furmanski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - S Gardiner
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Ge
- Columbia University, New York, New York 10027, USA
| | - S Gollapinni
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - O Goodwin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - E Gramellini
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - P Green
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - H Greenlee
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Gu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - R Guenette
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - P Guzowski
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Hagaman
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - E Hall
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - O Hen
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | | | - A Hourlier
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - R Itay
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C James
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - X Ji
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - L Jiang
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - J H Jo
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - R A Johnson
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - Y-J Jwa
- Columbia University, New York, New York 10027, USA
| | - N Kamp
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - N Kaneshige
- University of California, Santa Barbara, California 93106, USA
| | - G Karagiorgi
- Columbia University, New York, New York 10027, USA
| | - W Ketchum
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Kirby
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Kobilarcik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Kreslo
- Universität Bern, Bern CH-3012, Switzerland
| | - R LaZur
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - I Lepetic
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - K Li
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Y Li
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - K Lin
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - B R Littlejohn
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - W C Louis
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - X Luo
- University of California, Santa Barbara, California 93106, USA
| | - K Manivannan
- Syracuse University, Syracuse, New York 13244, USA
| | - C Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D Marsden
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Marshall
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - D A Martinez Caicedo
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - K Mason
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mastbaum
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - N McConkey
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - V Meddage
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - T Mettler
- Universität Bern, Bern CH-3012, Switzerland
| | - K Miller
- University of Chicago, Chicago, Illinois 60637, USA
| | - J Mills
- Tufts University, Medford, Massachusetts 02155, USA
| | - K Mistry
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Mogan
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - T Mohayai
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Moon
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Mooney
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - A F Moor
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - C D Moore
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L Mora Lepin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Mousseau
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Murphy
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D Naples
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Navrer-Agasson
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - R K Neely
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - J Nowak
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - M Nunes
- Syracuse University, Syracuse, New York 13244, USA
| | - O Palamara
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Paolone
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Papadopoulou
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Papavassiliou
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - S F Pate
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - A Paudel
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - Z Pavlovic
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | | | - I D Ponce-Pinto
- Columbia University, New York, New York 10027, USA
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - S Prince
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - X Qian
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - J L Raaf
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Radeka
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Rafique
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - M Reggiani-Guzzo
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Ren
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - L C J Rice
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - L Rochester
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Rodriguez Rondon
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - H E Rogers
- St. Catherine University, Saint Paul, Minnesota 55105, USA
| | - M Rosenberg
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | | | - G Scanavini
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D W Schmitz
- University of Chicago, Chicago, Illinois 60637, USA
| | - A Schukraft
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Seligman
- Columbia University, New York, New York 10027, USA
| | - M H Shaevitz
- Columbia University, New York, New York 10027, USA
| | - R Sharankova
- Tufts University, Medford, Massachusetts 02155, USA
| | - J Shi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - H Siegel
- Columbia University, New York, New York 10027, USA
| | - J Sinclair
- Universität Bern, Bern CH-3012, Switzerland
| | - A Smith
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - E L Snider
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Soderberg
- Syracuse University, Syracuse, New York 13244, USA
| | | | - P Spentzouris
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Stancari
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J St John
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Strauss
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Sutton
- Columbia University, New York, New York 10027, USA
| | - S Sword-Fehlberg
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - A M Szelc
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - N Tagg
- Otterbein University, Westerville, Ohio 43081, USA
| | - W Tang
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - K Terao
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C Thorpe
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - D Totani
- University of California, Santa Barbara, California 93106, USA
| | - M Toups
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y-T Tsai
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - M A Uchida
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - T Usher
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - W Van De Pontseele
- Harvard University, Cambridge, Massachusetts 02138, USA
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - B Viren
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Weber
- Universität Bern, Bern CH-3012, Switzerland
| | - H Wei
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - Z Williams
- University of Texas, Arlington, Texas 76019, USA
| | - S Wolbers
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Wongjirad
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Wospakrik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Wresilo
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - N Wright
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - W Wu
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Yandel
- University of California, Santa Barbara, California 93106, USA
| | - T Yang
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Yarbrough
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - L E Yates
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G P Zeller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Zennamo
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Zhang
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
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Abratenko P, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Church E, Cianci D, Conrad J, Convery M, Cooper-Troendle L, Crespo-Anadón J, Del Tutto M, Dennis S, Devitt D, Diurba R, Domine L, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Evans J, Fiorentini Aguirre G, Fitzpatrick R, Fleming B, Foppiani N, Franco D, Furmanski A, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hall E, Hamilton P, Hen O, Hill C, Horton-Smith G, Hourlier A, Itay R, James C, Jan de Vries J, Ji X, Jiang L, Jo J, Johnson R, Jwa YJ, Kamp N, Kaneshige N, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Littlejohn B, Lorca D, Louis W, Luo X, Marchionni A, Mariani C, Marsden D, Marshall J, Martin-Albo J, Martinez Caicedo D, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor A, Moore C, Mora Lepin L, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Neely R, Nienaber P, Nowak J, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate S, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto I, Porzio D, Prince S, Qian X, Raaf J, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rogers H, Rosenberg M, Ross-Lonergan M, Russell B, Scanavini G, Schmitz D, Schukraft A, Seligman W, Shaevitz M, Sharankova R, Sinclair J, Smith A, Snider E, Soderberg M, Söldner-Rembold S, Soleti S, Spentzouris P, Spitz J, Stancari M, John J, Strauss T, Sutton K, Sword-Fehlberg S, Szelc A, Tagg N, Tang W, Terao K, Thorpe C, Toups M, Tsai YT, Uchida M, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wu W, Yandel E, Yang T, Yarbrough G, Yates L, Zeller G, Zennamo J, Zhang C. Measurement of the flux-averaged inclusive charged-current electron neutrino and antineutrino cross section on argon using the NuMI beam and the MicroBooNE detector. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.104.052002] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Noor A, Yassine I, Lee S, Othus M, Moon J, Kirkwood J, Sondak V, Ribas A, Grossmann K, Tarhini A. 1069P Granulomatous and sarcoid-like immune adverse events following CTLA4 and PD1 blockade adjuvant therapy of high-risk melanoma: A combined analysis of ECOG-ACRIN E1609 and SWOG S1404 phase III trials. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Yang JH, Cho SI, Kim DH, Yoon JY, Moon J, Kim JW, Choi S, Suh DH. Pilot study of fractional microneedling radiofrequency for hidradenitis suppurativa assessed by clinical response and histology. Clin Exp Dermatol 2021; 47:335-342. [PMID: 34431555 DOI: 10.1111/ced.14905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/19/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Hidradenitis suppurativa (HS) is a devastating chronic inflammatory skin disease with frequent recurrences. Various systemic treatments and procedures have been used but the efficacy of fractional microneedling radiofrequency (FMR) has not been reported. AIM To evaluate the clinical and histological efficacy of FMR in the treatment of HS lesions. METHODS An 8-week, prospective, split-body, unblinded study was conducted, which enrolled 10 adult patients with mild to moderate HS to receive 3 sessions of FMR treatment biweekly. HS severity was assessed using the number and type of lesions, HS Physician Global Assessment (HS-PGA) and the modified Sartorius score (mSS). Skin biopsies were performed on participants to assess change in inflammation before and after FMR. RESULTS Severity of HS was significantly reduced on the FMR-treated side of the body, but not on the control side. Inflammatory HS lesions were significantly reduced after 4 weeks, while HS-PGA and mSS were significantly decreased after 6 weeks. Immunohistochemistry staining showed decreased expression of inflammatory markers including neutrophil elastases, interleukin (IL)-8 and IL-17, tumour necrosis factor-α, transforming growth factor-β1 and matrix metalloproteinases. CONCLUSION FMR may be a viable treatment option for mild to moderate HS.
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Affiliation(s)
- J H Yang
- Department of Dermatology, Seoul National University College of Medicine, Seoul, South Korea.,Acne, Rosacea, Seborrheic Dermatitis and Hidradenitis Suppurativa Research Laboratory, Seoul National University Hospital, Seoul, South Korea
| | - S I Cho
- Department of Dermatology, Seoul National University College of Medicine, Seoul, South Korea
| | - D H Kim
- Department of Dermatology, Seoul National University College of Medicine, Seoul, South Korea
| | - J Y Yoon
- Acne, Rosacea, Seborrheic Dermatitis and Hidradenitis Suppurativa Research Laboratory, Seoul National University Hospital, Seoul, South Korea
| | - J Moon
- Reone Skin Clinic, Seoul, South Korea
| | - J W Kim
- Department of Dermatology, Seoul National University College of Medicine, Seoul, South Korea
| | - S Choi
- Department of Dermatology, Seoul National University College of Medicine, Seoul, South Korea
| | - D H Suh
- Department of Dermatology, Seoul National University College of Medicine, Seoul, South Korea.,Acne, Rosacea, Seborrheic Dermatitis and Hidradenitis Suppurativa Research Laboratory, Seoul National University Hospital, Seoul, South Korea
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Seraphim A, Knott K, Menacho K, Augusto J, Davies R, Joy G, Hui X, Treibel T, Cooper J, Petersen S, Fontana M, Hughes A, Moon J, Manisty C, Kellman P. Comparison of the prognostic value of stress and rest pulmonary transit time estimation using myocardial perfusion CMR. Eur Heart J Cardiovasc Imaging 2021. [DOI: 10.1093/ehjci/jeab090.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Foundation. Main funding source(s): British Heart Foundation Clinical Research Training Fellowship
Background
Pulmonary transit time (PTT) is a quantitative biomarker of cardiopulmonary status. Rest PTT was previously shown to predict outcomes in specific disease models, but clinical adoption is hindered but challenges in data acquisition. Whether evaluation of PTT during stress encodes incremental prognostic information has not been previously investigated as scale.
Objectives
To compare the prognostic value of stress and rest PTT derived from a fully automated, in-line method of estimation using perfusion CMR, in a large patient cohort.
Methods
A retrospective two-center study of patients referred clinically for adenosine stress myocardial perfusion assessment using CMR. Analysis of right and left ventricular cavity arterial input function curves from first pass perfusion was performed automatically, allowing the in-line estimation of both rest and stress PTT. Association with major adverse cardiovascular events (MACE) was evaluated. MACE was defined as a composite outcome of myocardial infarction, stroke, heart failure admission and ventricular tachycardia or appropriate ICD treatment (including ICD shock and/or anti-tachycardia pacing).
Results
985 patients (67% male, median age 62 years (IQR 52,71)) were included, with median left ventricular ejection fraction (LVEF) of 62% (IQR 54-69). Median stress PTT was shorter than rest PTT 6.2 (IQR 5.1, 7.7) seconds versus 7.7 (IQR, 6.4, 9.2) seconds. Stress and rest PTT were highly correlated (r = 0.69; p < 0.001). Stress PTT also correlated with LVEF (r=-0.37), stress MBF (r=-0.31), LVEDVi (r = 0.24), LA area index (r = 0.32) (p < 0.001 for all). Over a median follow-up period of 28.6 (IQR, 22.6 35,7) months, MACE occurred in 61 (6.2%) patients. After adjusting for prognostic factors, both rest and stress PTT, independently predicted MACE, but not all-cause mortality. For every 1xSD (2.39s) increase in rest PTT the adjusted hazard ratio (HR) for MACE was 1.43 (95% CI 1.10-1.85, p = 0.007). The hazard ratio for one standard deviation (2.64s) increase in stress PTT was 1.34 (95% CI 1.048-1.723; p = 0.020) after adjusting for age, LVEF, hypertension, diabetes, sex and presence of LGE
Conclusions
In this 2-center study of 985 patients, we deploy a fully automated method of PTT estimation using perfusion mapping with CMR and show that both stress and rest PTT are independently associated with adverse cardiovascular outcomes. In this patient cohort, there is no clear incremental prognostic value of stress PTT, over its evaluation during rest.
Figure 1. Stress and Rest Pulmonary Transit Time estimation using myocardial perfusion CMR
Figure 2. Event-free survival curves for major adverse cardiovascular events (Heart failure hospitalization, myocardial infarction, stroke and ventricular tachycardia/ICD treatment) according to mean rest PTT (8.05seconds) and mean stress PTT (6.7seconds). Log-rank for both p < 0.05
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Affiliation(s)
- A Seraphim
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - K Knott
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - K Menacho
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - J Augusto
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - R Davies
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - G Joy
- St Bartholomew"s Hospital, Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - X Hui
- National Institutes of Health, Bethesda, United States of America
| | - T Treibel
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - J Cooper
- Queen Mary University of London, London, United Kingdom of Great Britain & Northern Ireland
| | - S Petersen
- Queen Mary University of London, London, United Kingdom of Great Britain & Northern Ireland
| | - M Fontana
- Royal Free Hospital, London, United Kingdom of Great Britain & Northern Ireland
| | - A Hughes
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - J Moon
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - C Manisty
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - P Kellman
- National Institutes of Health, Bethesda, United States of America
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Thornton G, Shetye A, Knott K, Razvi Y, Vimalesvaran K, Kurdi H, Artico J, Yousef S, Antonakaki D, Kellman P, Knight D, Cole GD, Moon JC, Fontana M, Treibel TA. Myocardial perfusion after COVID-19 infection: No persisting impaired myocardial blood flow in surviving patients. Eur Heart J Cardiovasc Imaging 2021. [PMCID: PMC8344937 DOI: 10.1093/ehjci/jeab090.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Funding Acknowledgements Type of funding sources: None. Background Acute myocardial damage is common in hospitalized patients with severe COVID-19, with evidence of myocardial infarction and myocarditis demonstrated on cardiovascular magnetic resonance (CMR). Post-mortem studies have also implicated microvascular thrombosis, which may cause persistent microvascular disease. Purpose To determine the long-term coronary sequelae in recovered COVID-19 using multiparametric CMR including state-of-the-art inline quantitative stress myocardial blood flow (sMBF) mapping to assess global and regional sMBF. Methods Prospective, multicentre observational study of recovered COVID-19 patients scanned at three London CMR units. Results were compared to a propensity-matched, pre-COVID chest pain cohort (104 patients referred for perfusion CMR, with subsequently demonstrated unobstructed coronary arteries) and 27 healthy volunteers (HV). Perfusion image analysis was performed using a novel artificial intelligence approach deriving global and regional stress and rest MBF with a cut-off of >2.25mL/g/min signifying normal sMBF and <1.82mL/g/min abnormal sMBF (Kotecha JCVI 2019). Results 104 recovered, post-COVID patients (median age 62 years, 76% male; 89[87%] hospitalised, 41/89[46%] requiring ICU) underwent adenosine-stress perfusion CMR at a median 131(IQR 43-179) days from COVID-19 diagnosis. Median LVEF was 67% (IQR 60-71%; 12 (11.5%) with impaired LVEF), 51 patients (49%) had late gadolinium enhancement (LGE); 18% infarct-pattern and 33% non-ischaemic LGE. Global stress MBF in post-COVID patients was no different to age-, sex- and co-morbidities-matched controls (2.57 ± 0.77 vs. 2.40 ± 0.75 ml/g/min, p = 0.11, Figure 1), though lower than HV (3.00 ± 0.76 ml/g/min, p = 0.001). Post-COVID, multivariate predictors of low sMBF were male sex (OR 0.57, 95%CI 0.41-0.80, p = 0.001) and hypertension (OR 0.67, 95%CI 0.51-0.88, p = 0.004), but not COVID-19 disease severity (ICU admission) or presence of scar (ischemic/non-ischemic). 21/42 with reduced sMBF (<2.25mL/g/min) had regional perfusion defects consistent with epicardial coronary disease. Conclusions COVID-19 survivors do not demonstrate evidence of reduced global MBF by CMR compared to risk factor matched controls. Stress perfusion CMR identifies etiology of acute myocardial damage (infarction/myocarditis) and presence of occult coronary ischemia.
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Affiliation(s)
- G Thornton
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - A Shetye
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - K Knott
- King"s College Hospital NHS Foundation Trust, London, United Kingdom of Great Britain & Northern Ireland
| | - Y Razvi
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - K Vimalesvaran
- Imperial College London, London, United Kingdom of Great Britain & Northern Ireland
| | - H Kurdi
- Barts Health NHS Trust, London, United Kingdom of Great Britain & Northern Ireland
| | - J Artico
- Barts Health NHS Trust, London, United Kingdom of Great Britain & Northern Ireland
| | - S Yousef
- Barts Health NHS Trust, London, United Kingdom of Great Britain & Northern Ireland
| | - D Antonakaki
- Barts Health NHS Trust, London, United Kingdom of Great Britain & Northern Ireland
| | - P Kellman
- National Heart Lung and Blood Institute, Bethesda, United States of America
| | - D Knight
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - GD Cole
- Imperial College London, London, United Kingdom of Great Britain & Northern Ireland
| | - JC Moon
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - M Fontana
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - TA Treibel
- University College London, London, United Kingdom of Great Britain & Northern Ireland
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Joy G, Artico J, Kurdi H, Lau C, Adam RD, Menacho KM, Pierce I, Captur G, Davies R, Schelbert EB, Fontana M, Kellman P, Treibel TA, Manisty C, Moon JC. Prospective case-control study of cardiovascular abnormalities six months following mild COVID-19 in healthcare workers. Eur Heart J Cardiovasc Imaging 2021. [PMCID: PMC8344927 DOI: 10.1093/ehjci/jeab090.064] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Public Institution(s). Main funding source(s): Barts Charity UCLH Charity
OnBehalf
COVIDsortium
Background
Recent CMR studies have reported cardiac abnormalities after COVID-19 are common, even after mild, non-hospitalised illness with evidence of ongoing myocardial inflammation. Such a prevalence of chronic myocarditis after mild disease has prompted societal concerns in diverse domains, and suggests that screening should be considered post COVID-19, even in asymptomatic individuals. Cardiovascular magnetic resonance (CMR) has proven utility for diagnosis in patients with COVID-19 infection and elevated troponin from unclear causes by measuring cardiac structure, function, myocardial scar (late gadolinium enhancement) and oedema (T1 and T2 mapping).
Objectives
We aimed to determine the prevalence and extent of late cardiac and cardiovascular sequelae after mild non-hospitalised SARS-CoV-2 infection.
Methods
Participants were recruited from COVIDsortium, a three-hospital prospective study of 731 healthcare workers who underwent first wave weekly symptom, PCR and serology assessment over 4 months, with seroconversion in 21.5% (n = 157). At 6 months post infection, 74 seropositive and 75 age-, sex-, ethnicity-matched seronegative controls were recruited for cardiovascular phenotyping (comprehensive phantom-calibrated Cardiovascular Magnetic Resonance and blood biomarkers). Analysis was blinded, using objective AI analytics where available.
Results
149 subjects (mean age 37 years, range 18-63, 58% female) were recruited. Seropositive infections had been mild with case definition/non-case definition/asymptomatic disease in 45(61%), 18(24%) and 11(15%) with one person hospitalised (for 2 days). Between seropositive and seronegative groups, there were no differences in cardiac structure (left ventricular volumes, mass; atrial area), function (ejection fraction, global longitudinal shortening, aortic distensibility), tissue characterisation (T1, T2, ECV mapping, late gadolinium enhancement) or biomarkers (troponin, NT-proBNP). With abnormal defined by the 75 seronegatives (2 standard deviations from mean, e.g. EF < 54%, septal T1 > 1072ms, septal T2 > 52.4ms), individuals had abnormalities including reduced EF (n = 2, minimum 50%), T1 elevation (n = 6), T2 elevation (n = 9), LGE (n = 13, median 1%, max 5% of myocardium), biomarker elevation (borderline troponin elevation in 4; all NT-proBNP normal). These were distributed equally between seropositive and seronegative individuals.
Conclusions
Cardiovascular abnormalities are no more common in seropositive vs seronegative otherwise healthy, workforce representative individuals 6 months post mild SARS-CoV-2 infection. Our study provides societal reassurance for the cardiovascular health of working-aged individuals with convalescence from mild SARS-CoV-2. Screening asymptomatic individuals following mild diseases is not indicated.
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Affiliation(s)
- G Joy
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - J Artico
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - H Kurdi
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - C Lau
- Queen Mary University of London, London, United Kingdom of Great Britain & Northern Ireland
| | - RD Adam
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - KM Menacho
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - I Pierce
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - G Captur
- Royal Free Hospital, London, United Kingdom of Great Britain & Northern Ireland
| | - R Davies
- University College of London, London, United Kingdom of Great Britain & Northern Ireland
| | - EB Schelbert
- University of Pittsburgh, Pittsburgh, United States of America
| | - M Fontana
- Royal Free Hospital, London, United Kingdom of Great Britain & Northern Ireland
| | - P Kellman
- National Institutes of Health, Bethesda, United States of America
| | - TA Treibel
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - C Manisty
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - JC Moon
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
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Torlasco C, Papetti D, Mene R, Artico J, Seraphim A, Badano LP, Moon JC, Parati G, Xue H, Kellman P, Nobile M. Dark blood ischemic LGE segmentation using a deep learning approach. Eur Heart J Cardiovasc Imaging 2021. [DOI: 10.1093/ehjci/jeab090.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Introduction
The extent of ischemic scar detected by Cardiac Magnetic Resonance (CMR) with late gadolinium enhancement (LGE) is linked with long-term prognosis, but scar quantification is time-consuming. Deep Learning (DL) approaches appear promising in CMR segmentation. Purpose: To train and apply a deep learning approach to dark blood (DB) CMR-LGE for ischemic scar segmentation, comparing results to 4-Standard Deviation (4-SD) semi-automated method. Methods: We trained and validated a dual neural network infrastructure on a dataset of DB-LGE short-axis stacks, acquired at 1.5T from 33 patients with ischemic scar. The DL architectures were an evolution of the U-Net Convolutional Neural Network (CNN), using data augmentation to increase generalization. The CNNs worked together to identify and segment 1) the myocardium and 2) areas of LGE. The first CNN simultaneously cropped the region of interest (RoI) according to the bounding box of the heart and calculated the area of myocardium. The cropped RoI was then processed by the second CNN, which identified the overall LGE area. The extent of scar was calculated as the ratio of the two areas. For comparison, endo- and epi-cardial borders were manually contoured and scars segmented by a 4-SD technique with a validated software. Results: The two U-Net networks were implemented with two free and open-source software library for machine learning. We performed 5-fold cross-validation over a dataset of 108 and 385 labelled CMR images of the myocardium and scar, respectively. We obtained high performance (> ∼0.85) as measured by the Intersection over Union metric (IoU) on the training sets, in the case of scar segmentation. With regards to heart recognition, the performance was lower (> ∼0.7), although improved (∼ 0.75) by detecting the cardiac area instead of heart boundaries. On the validation set, performances oscillated between 0.8 and 0.85 for scar tissue recognition, and dropped to ∼0.7 for myocardium segmentation. We believe that underrepresented samples and noise might be affecting the overall performances, so that additional data might be beneficial. Figure1: examples of heart segmentation (upper left panel: training; upper right panel: validation) and of scar segmentation (lower left panel: training; lower right panel: validation). Conclusion: Our CNNs show promising results in automatically segmenting LV and quantify ischemic scars on DB-LGE-CMR images. The performances of our method can further improve by expanding the data set used for the training. If implemented in a clinical routine, this process can speed up the CMR analysis process and aid in the clinical decision-making. Abstract Figure.
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Affiliation(s)
- C Torlasco
- IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - D Papetti
- University of Milan-Bicocca, Milan, Italy
| | - R Mene
- University of Milan-Bicocca, Milan, Italy
| | - J Artico
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - A Seraphim
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - LP Badano
- University of Milan-Bicocca, Milan, Italy
| | - JC Moon
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - G Parati
- University of Milan-Bicocca, Milan, Italy
| | - H Xue
- National Heart Lung and Blood Institute, Bethesda, United States of America
| | - P Kellman
- National Heart Lung and Blood Institute, Bethesda, United States of America
| | - M Nobile
- Eindhoven University of Technology, Eindhoven, Netherlands (The)
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Bhuva AN, D'Silva A, Torlasco C, Nadarajan N, Jones S, Boubertakh R, Van Zalen J, Scully P, Knott K, Benedetti G, Augusto JB, Bastiaenen R, Lloyd G, Sharma S, Moon JC, Parker KH, Manisty CH, Hughes AD. Non-invasive assessment of ventriculo-arterial coupling using aortic wave intensity analysis combining central blood pressure and phase-contrast cardiovascular magnetic resonance. Eur Heart J Cardiovasc Imaging 2021; 21:805-813. [PMID: 31501858 DOI: 10.1093/ehjci/jez227] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 07/01/2019] [Accepted: 08/20/2019] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Wave intensity analysis (WIA) in the aorta offers important clinical and mechanistic insight into ventriculo-arterial coupling, but is difficult to measure non-invasively. We performed WIA by combining standard cardiovascular magnetic resonance (CMR) flow-velocity and non-invasive central blood pressure (cBP) waveforms. METHODS AND RESULTS Two hundred and six healthy volunteers (age range 21-73 years, 47% male) underwent sequential phase contrast CMR (Siemens Aera 1.5 T, 1.97 × 1.77 mm2, 9.2 ms temporal resolution) and supra-systolic oscillometric cBP measurement (200 Hz). Velocity (U) and central pressure (P) waveforms were aligned using the waveform foot, and local wave speed was calculated both from the PU-loop (c) and the sum of squares method (cSS). These were compared with CMR transit time derived aortic arch pulse wave velocity (PWVtt). Associations were examined using multivariable regression. The peak intensity of the initial compression wave, backward compression wave, and forward decompression wave were 69.5 ± 28, -6.6 ± 4.2, and 6.2 ± 2.5 × 104 W/m2/cycle2, respectively; reflection index was 0.10 ± 0.06. PWVtt correlated with c or cSS (r = 0.60 and 0.68, respectively, P < 0.01 for both). Increasing age decade and female sex were independently associated with decreased forward compression wave (-8.6 and -20.7 W/m2/cycle2, respectively, P < 0.01) and greater wave reflection index (0.02 and 0.03, respectively, P < 0.001). CONCLUSION This novel non-invasive technique permits straightforward measurement of wave intensity at scale. Local wave speed showed good agreement with PWVtt, and correlation was stronger using the cSS than the PU-loop. Ageing and female sex were associated with poorer ventriculo-arterial coupling in healthy individuals.
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Affiliation(s)
- Anish N Bhuva
- Institute of Cardiovascular Science, University College London, 69 Chenies Mews, London WC1E6HX, UK.,Barts Heart Centre, West Smithfield, London EC1A 7BE, UK
| | - A D'Silva
- Cardiovascular Sciences Research Centre, St. George's University of London, Blackshaw Road, Tooting, London SW17 0QT, UK
| | - C Torlasco
- IRCCS, Istituto Auxologico Italiano, Via Ludovico Ariosto 13, 20145 Milan, Italy, Italy
| | - N Nadarajan
- Institute of Cardiovascular Science, University College London, 69 Chenies Mews, London WC1E6HX, UK
| | - S Jones
- Institute of Cardiovascular Science, University College London, 69 Chenies Mews, London WC1E6HX, UK
| | - R Boubertakh
- Barts Heart Centre, West Smithfield, London EC1A 7BE, UK
| | - J Van Zalen
- Barts Heart Centre, West Smithfield, London EC1A 7BE, UK
| | - P Scully
- Institute of Cardiovascular Science, University College London, 69 Chenies Mews, London WC1E6HX, UK.,Barts Heart Centre, West Smithfield, London EC1A 7BE, UK
| | - K Knott
- Institute of Cardiovascular Science, University College London, 69 Chenies Mews, London WC1E6HX, UK.,Barts Heart Centre, West Smithfield, London EC1A 7BE, UK
| | - G Benedetti
- Barts Heart Centre, West Smithfield, London EC1A 7BE, UK
| | - J B Augusto
- Institute of Cardiovascular Science, University College London, 69 Chenies Mews, London WC1E6HX, UK.,Barts Heart Centre, West Smithfield, London EC1A 7BE, UK
| | - Rachel Bastiaenen
- Cardiovascular Sciences Research Centre, St. George's University of London, Blackshaw Road, Tooting, London SW17 0QT, UK
| | - G Lloyd
- Barts Heart Centre, West Smithfield, London EC1A 7BE, UK
| | - S Sharma
- Cardiovascular Sciences Research Centre, St. George's University of London, Blackshaw Road, Tooting, London SW17 0QT, UK
| | - J C Moon
- Institute of Cardiovascular Science, University College London, 69 Chenies Mews, London WC1E6HX, UK.,Barts Heart Centre, West Smithfield, London EC1A 7BE, UK
| | - K H Parker
- Department of Bioengineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - C H Manisty
- Institute of Cardiovascular Science, University College London, 69 Chenies Mews, London WC1E6HX, UK.,Barts Heart Centre, West Smithfield, London EC1A 7BE, UK
| | - Alun D Hughes
- Institute of Cardiovascular Science, University College London, 69 Chenies Mews, London WC1E6HX, UK.,MRC Unit for Lifelong Health and Ageing at UCL, 1-19 Torrington Place, London WC1E 7HB, UK
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Abratenko P, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Church E, Cianci D, Conrad J, Convery M, Cooper-Troendle L, Crespo-Anadón J, Del Tutto M, Devitt D, Diurba R, Domine L, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Evans J, Fiorentini Aguirre G, Fitzpatrick R, Fleming B, Foppiani N, Franco D, Furmanski A, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hall E, Hamilton P, Hen O, Horton-Smith G, Hourlier A, Huang EC, Itay R, James C, Jan de Vries J, Ji X, Jiang L, Jo J, Johnson R, Jwa YJ, Kamp N, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Littlejohn B, Lorca D, Louis W, Luo X, Marchionni A, Marcocci S, Mariani C, Marsden D, Marshall J, Martin-Albo J, Martinez Caicedo D, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor A, Moore C, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Neely R, Nienaber P, Nowak J, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate S, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto I, Porzio D, Prince S, Qian X, Raaf J, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rogers H, Rosenberg M, Ross-Lonergan M, Russell B, Scanavini G, Schmitz D, Schukraft A, Shaevitz M, Sharankova R, Sinclair J, Smith A, Snider E, Soderberg M, Söldner-Rembold S, Soleti S, Spentzouris P, Spitz J, Stancari M, John J, Strauss T, Sutton K, Sword-Fehlberg S, Szelc A, Tagg N, Tang W, Terao K, Thorpe C, Toups M, Tsai YT, Tufanli S, Uchida M, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wu W, Yang T, Yarbrough G, Yates L, Zeller G, Zennamo J, Zhang C. Convolutional neural network for multiple particle identification in the MicroBooNE liquid argon time projection chamber. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.103.092003] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Abi B, Acciarri R, Acero MA, Adamov G, Adams D, Adinolfi M, Ahmad Z, Ahmed J, Alion T, Monsalve SA, Alt C, Anderson J, Andreopoulos C, Andrews MP, Andrianala F, Andringa S, Ankowski A, Antonova M, Antusch S, Aranda-Fernandez A, Ariga A, Arnold LO, Arroyave MA, Asaadi J, Aurisano A, Aushev V, Autiero D, Azfar F, Back H, Back JJ, Backhouse C, Baesso P, Bagby L, Bajou R, Balasubramanian S, Baldi P, Bambah B, Barao F, Barenboim G, Barker GJ, Barkhouse W, Barnes C, Barr G, Monarca JB, Barros N, Barrow JL, Bashyal A, Basque V, Bay F, Alba JLB, Beacom JF, Bechetoille E, Behera B, Bellantoni L, Bellettini G, Bellini V, Beltramello O, Belver D, Benekos N, Neves FB, Berger J, Berkman S, Bernardini P, Berner RM, Berns H, Bertolucci S, Betancourt M, Bezawada Y, Bhattacharjee M, Bhuyan B, Biagi S, Bian J, Biassoni M, Biery K, Bilki B, Bishai M, Bitadze A, Blake A, Siffert BB, Blaszczyk FDM, Blazey GC, Blucher E, Boissevain J, Bolognesi S, Bolton T, Bonesini M, Bongrand M, Bonini F, Booth A, Booth C, Bordoni S, Borkum A, Boschi T, Bostan N, Bour P, Boyd SB, Boyden D, Bracinik J, Braga D, Brailsford D, Brandt A, Bremer J, Brew C, Brianne E, Brice SJ, Brizzolari C, Bromberg C, Brooijmans G, Brooke J, Bross A, Brunetti G, Buchanan N, Budd H, Caiulo D, Calafiura P, Calcutt J, Calin M, Calvez S, Calvo E, Camilleri L, Caminata A, Campanelli M, Caratelli D, Carini G, Carlus B, Carniti P, Terrazas IC, Carranza H, Castillo A, Castromonte C, Cattadori C, Cavalier F, Cavanna F, Centro S, Cerati G, Cervelli A, Villanueva AC, Chalifour M, Chang C, Chardonnet E, Chatterjee A, Chattopadhyay S, Chaves J, Chen H, Chen M, Chen Y, Cherdack D, Chi C, Childress S, Chiriacescu A, Cho K, Choubey S, Christensen A, Christian D, Christodoulou G, Church E, Clarke P, Coan TE, Cocco AG, Coelho JAB, Conley E, Conrad JM, Convery M, Corwin L, Cotte P, Cremaldi L, Cremonesi L, Crespo-Anadón JI, Cristaldo E, Cross R, Cuesta C, Cui Y, Cussans D, Dabrowski M, da Motta H, Peres LDS, David C, David Q, Davies GS, Davini S, Dawson J, De K, De Almeida RM, Debbins P, De Bonis I, Decowski MP, de Gouvêa A, De Holanda PC, De Icaza Astiz IL, Deisting A, De Jong P, Delbart A, Delepine D, Delgado M, Dell’Acqua A, De Lurgio P, de Mello Neto JRT, DeMuth DM, Dennis S, Densham C, Deptuch G, De Roeck A, De Romeri V, De Vries JJ, Dharmapalan R, Dias M, Diaz F, Díaz JS, Di Domizio S, Di Giulio L, Ding P, Di Noto L, Distefano C, Diurba R, Diwan M, Djurcic Z, Dokania N, Dolinski MJ, Domine L, Douglas D, Drielsma F, Duchesneau D, Duffy K, Dunne P, Durkin T, Duyang H, Dvornikov O, Dwyer DA, Dyshkant AS, Eads M, Edmunds D, Eisch J, Emery S, Ereditato A, Escobar CO, Sanchez LE, Evans JJ, Ewart E, Ezeribe AC, Fahey K, Falcone A, Farnese C, Farzan Y, Felix J, Fernandez-Martinez E, Fernandez Menendez P, Ferraro F, Fields L, Filkins A, Filthaut F, Fitzpatrick RS, Flanagan W, Fleming B, Flight R, Fowler J, Fox W, Franc J, Francis K, Franco D, Freeman J, Freestone J, Fried J, Friedland A, Fuess S, Furic I, Furmanski AP, Gago A, Gallagher H, Gallego-Ros A, Gallice N, Galymov V, Gamberini E, Gamble T, Gandhi R, Gandrajula R, Gao S, Garcia-Gamez D, García-Peris MÁ, Gardiner S, Gastler D, Ge G, Gelli B, Gendotti A, Gent S, Ghorbani-Moghaddam Z, Gibin D, Gil-Botella I, Girerd C, Giri AK, Gnani D, Gogota O, Gold M, Gollapinni S, Gollwitzer K, Gomes RA, Bermeo LVG, Fajardo LSG, Gonnella F, Gonzalez-Cuevas JA, Goodman MC, Goodwin O, Goswami S, Gotti C, Goudzovski E, Grace C, Graham M, Gramellini E, Gran R, Granados E, Grant A, Grant C, Gratieri D, Green P, Green S, Greenler L, Greenwood M, Greer J, Griffith WC, Groh M, Grudzinski J, Grzelak K, Gu W, Guarino V, Guenette R, Guglielmi A, Guo B, Guthikonda KK, Gutierrez R, Guzowski P, Guzzo MM, Gwon S, Habig A, Hackenburg A, Hadavand H, Haenni R, Hahn A, Haigh J, Haiston J, Hamernik T, Hamilton P, Han J, Harder K, Harris DA, Hartnell J, Hasegawa T, Hatcher R, Hazen E, Heavey A, Heeger KM, Heise J, Hennessy K, Henry S, Morquecho MAH, Herner K, Hertel L, Hesam AS, Hewes J, Higuera A, Hill T, Hillier SJ, Himmel A, Hoff J, Hohl C, Holin A, Hoppe E, Horton-Smith GA, Hostert M, Hourlier A, Howard B, Howell R, Huang J, Huang J, Hugon J, Iles G, Ilic N, Iliescu AM, Illingworth R, Ioannisian A, Itay R, Izmaylov A, James E, Jargowsky B, Jediny F, Jesùs-Valls C, Ji X, Jiang L, Jiménez S, Jipa A, Joglekar A, Johnson C, Johnson R, Jones B, Jones S, Jung CK, Junk T, Jwa Y, Kabirnezhad M, Kaboth A, Kadenko I, Kamiya F, Karagiorgi G, Karcher A, Karolak M, Karyotakis Y, Kasai S, Kasetti SP, Kashur L, Kazaryan N, Kearns E, Keener P, Kelly KJ, Kemp E, Ketchum W, Kettell SH, Khabibullin M, Khotjantsev A, Khvedelidze A, Kim D, King B, Kirby B, Kirby M, Klein J, Koehler K, Koerner LW, Kohn S, Koller PP, Kordosky M, Kosc T, Kose U, Kostelecký VA, Kothekar K, Krennrich F, Kreslo I, Kudenko Y, Kudryavtsev VA, Kulagin S, Kumar J, Kumar R, Kuruppu C, Kus V, Kutter T, Lambert A, Lande K, Lane CE, Lang K, Langford T, Lasorak P, Last D, Lastoria C, Laundrie A, Lawrence A, Lazanu I, LaZur R, Le T, Learned J, LeBrun P, Miotto GL, Lehnert R, de Oliveira MAL, Leitner M, Leyton M, Li L, Li S, Li SW, Li T, Li Y, Liao H, Lin CS, Lin S, Lister A, Littlejohn BR, Liu J, Lockwitz S, Loew T, Lokajicek M, Lomidze I, Long K, Loo K, Lorca D, Lord T, LoSecco JM, Louis WC, Luk KB, Luo X, Lurkin N, Lux T, Luzio VP, MacFarland D, Machado AA, Machado P, Macias CT, Macier JR, Maddalena A, Madigan P, Magill S, Mahn K, Maio A, Maloney JA, Mandrioli G, Maneira J, Manenti L, Manly S, Mann A, Manolopoulos K, Plata MM, Marchionni A, Marciano W, Marfatia D, Mariani C, Maricic J, Marinho F, Marino AD, Marshak M, Marshall C, Marshall J, Marteau J, Martin-Albo J, Martinez N, Caicedo DAM, Martynenko S, Mason K, Mastbaum A, Masud M, Matsuno S, Matthews J, Mauger C, Mauri N, Mavrokoridis K, Mazza R, Mazzacane A, Mazzucato E, McCluskey E, McConkey N, McFarland KS, McGrew C, McNab A, Mefodiev A, Mehta P, Melas P, Mellinato M, Mena O, Menary S, Mendez H, Menegolli A, Meng G, Messier MD, 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Papaleo R, Papanestis A, Paramesvaran S, Park JC, Parke S, Parsa Z, Parvu M, Pascoli S, Pasqualini L, Pasternak J, Pater J, Patrick C, Patrizii L, Patterson RB, Patton SJ, Patzak T, Paudel A, Paulos B, Paulucci L, Pavlovic Z, Pawloski G, Payne D, Pec V, Peeters SJM, Penichot Y, Pennacchio E, Penzo A, Peres OLG, Perry J, Pershey D, Pessina G, Petrillo G, Petta C, Petti R, Piastra F, Pickering L, Pietropaolo F, Pillow J, Pinzino J, Plunkett R, Poling R, Pons X, Poonthottathil N, Pordes S, Potekhin M, Potenza R, Potukuchi BVKS, Pozimski J, Pozzato M, Prakash S, Prakash T, Prince S, Prior G, Pugnere D, Qi K, Qian X, Raaf JL, Raboanary R, Radeka V, Rademacker J, Radics B, Rafique A, Raguzin E, Rai M, Rajaoalisoa M, Rakhno I, Rakotondramanana HT, Rakotondravohitra L, Ramachers YA, Rameika R, Delgado MAR, Ramson B, Rappoldi A, Raselli G, Ratoff P, Ravat S, Razafinime H, Real JS, Rebel B, Redondo D, Reggiani-Guzzo M, Rehak T, Reichenbacher J, Reitzner SD, Renshaw A, Rescia S, Resnati F, 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Prospects for beyond the Standard Model physics searches at the Deep Underground Neutrino Experiment: DUNE Collaboration. Eur Phys J C Part Fields 2021; 81:322. [PMID: 34720713 PMCID: PMC8550327 DOI: 10.1140/epjc/s10052-021-09007-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 02/23/2021] [Indexed: 06/13/2023]
Abstract
The Deep Underground Neutrino Experiment (DUNE) will be a powerful tool for a variety of physics topics. The high-intensity proton beams provide a large neutrino flux, sampled by a near detector system consisting of a combination of capable precision detectors, and by the massive far detector system located deep underground. This configuration sets up DUNE as a machine for discovery, as it enables opportunities not only to perform precision neutrino measurements that may uncover deviations from the present three-flavor mixing paradigm, but also to discover new particles and unveil new interactions and symmetries beyond those predicted in the Standard Model (SM). Of the many potential beyond the Standard Model (BSM) topics DUNE will probe, this paper presents a selection of studies quantifying DUNE's sensitivities to sterile neutrino mixing, heavy neutral leptons, non-standard interactions, CPT symmetry violation, Lorentz invariance violation, neutrino trident production, dark matter from both beam induced and cosmogenic sources, baryon number violation, and other new physics topics that complement those at high-energy colliders and significantly extend the present reach.
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Grants
- MR/T019530/1 Medical Research Council
- MR/T041323/1 Medical Research Council
- MSMT, Czech Republic
- NRF, South Korea
- Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- SERI, Switzerland
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- U.S. Department of Energy
- CERN
- Türkiye Bilimsel ve Teknolojik Arastirma Kurumu
- The Royal Society, United Kingdom
- Canada Foundation for Innovation
- U.S. NSF
- FCT, Portugal
- CEA, France
- CNRS/IN2P3, France
- European Regional Development Fund
- Science and Technology Facilities Council
- H2020-EU, European Union
- IPP, Canada
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
- CAM, Spain
- MSCA, European Union
- Instituto Nazionale di Fisica Nucleare
- Fundacção de Amparo à Pesquisa do Estado de Goiás
- Ministerio de Ciencia e Innovación
- Fundacion “La Caixa” Spain
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Affiliation(s)
- B. Abi
- University of Oxford, Oxford, OX1 3RH UK
| | - R. Acciarri
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - M. A. Acero
- Universidad del Atlántico, Barranquilla, Atlántico Colombia
| | - G. Adamov
- Georgian Technical University, Tbilisi, Georgia
| | - D. Adams
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | - Z. Ahmad
- Variable Energy Cyclotron Centre, Kolkata, West Bengal 700 064 India
| | - J. Ahmed
- University of Warwick, Coventry, CV4 7AL UK
| | - T. Alion
- University of Sussex, Brighton, BN1 9RH UK
| | - S. Alonso Monsalve
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - C. Alt
- ETH Zurich, Zurich, Switzerland
| | - J. Anderson
- Argonne National Laboratory, Argonne, IL 60439 USA
| | - C. Andreopoulos
- University of Liverpool, Liverpool, L69 7ZE UK
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - M. P. Andrews
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - F. Andrianala
- University of Antananarivo, 101 Antananarivo, Madagascar
| | - S. Andringa
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003, Lisbon and, 3004-516 Coimbra, Portugal
| | - A. Ankowski
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - M. Antonova
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | - S. Antusch
- University of Basel, 4056 Basel, Switzerland
| | | | - A. Ariga
- University of Bern, 3012 Bern, Switzerland
| | | | | | - J. Asaadi
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - A. Aurisano
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - V. Aushev
- Kyiv National University, Kiev, 01601 Ukraine
| | - D. Autiero
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - F. Azfar
- University of Oxford, Oxford, OX1 3RH UK
| | - H. Back
- Pacific Northwest National Laboratory, Richland, WA 99352 USA
| | - J. J. Back
- University of Warwick, Coventry, CV4 7AL UK
| | | | - P. Baesso
- University of Bristol, Bristol, BS8 1TL UK
| | - L. Bagby
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. Bajou
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | | | - P. Baldi
- University of California Irvine, Irvine, CA 92697 USA
| | - B. Bambah
- University of Hyderabad, Gachibowli, Hyderabad, 500 046 India
| | - F. Barao
- Instituto Superior Técnico-IST, Universidade de Lisboa, Lisbon, Portugal
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003, Lisbon and, 3004-516 Coimbra, Portugal
| | - G. Barenboim
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | | | - W. Barkhouse
- University of North Dakota, Grand Forks, ND 58202-8357 USA
| | - C. Barnes
- University of Michigan, Ann Arbor, MI 48109 USA
| | - G. Barr
- University of Oxford, Oxford, OX1 3RH UK
| | | | - N. Barros
- Faculdade de Ciências da Universidade de Lisboa-FCUL, 1749-016 Lisbon, Portugal
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003, Lisbon and, 3004-516 Coimbra, Portugal
| | - J. L. Barrow
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- University of Tennessee at Knoxville, Knoxville, TN 37996 USA
| | - A. Bashyal
- Oregon State University, Corvallis, OR 97331 USA
| | - V. Basque
- University of Manchester, Manchester, M13 9PL UK
| | - F. Bay
- Nikhef National Institute of Subatomic Physics, 1098 XG Amsterdam, The Netherlands
| | | | | | - E. Bechetoille
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - B. Behera
- Colorado State University, Fort Collins, CO 80523 USA
| | - L. Bellantoni
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - V. Bellini
- Università di Catania, 2, 95131 Catania, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Catania, 95123 Catania, Italy
| | - O. Beltramello
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - D. Belver
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - N. Benekos
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - F. Bento Neves
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003, Lisbon and, 3004-516 Coimbra, Portugal
| | - J. Berger
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - S. Berkman
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - P. Bernardini
- Istituto Nazionale di Fisica Nucleare Sezione di Lecce, 73100 Lecce, Italy
- Università del Salento, 73100 Lecce, Italy
| | | | - H. Berns
- University of California Davis, Davis, CA 95616 USA
| | - S. Bertolucci
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - M. Betancourt
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - Y. Bezawada
- University of California Davis, Davis, CA 95616 USA
| | - M. Bhattacharjee
- Indian Institute of Technology Guwahati, Guwahati, 781 039 India
| | - B. Bhuyan
- Indian Institute of Technology Guwahati, Guwahati, 781 039 India
| | - S. Biagi
- Istituto Nazionale di Fisica Nucleare Laboratori Nazionali del Sud, 95123 Catania, Italy
| | - J. Bian
- University of California Irvine, Irvine, CA 92697 USA
| | - M. Biassoni
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | - K. Biery
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - B. Bilki
- Beykent University, Istanbul, Turkey
- University of Iowa, Iowa City, IA 52242 USA
| | - M. Bishai
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - A. Bitadze
- University of Manchester, Manchester, M13 9PL UK
| | - A. Blake
- Lancaster University, Lancaster, LA1 4YB UK
| | - B. Blanco Siffert
- Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ 21941-901 Brazil
| | | | - G. C. Blazey
- Northern Illinois University, DeKalb, IL 60115 USA
| | - E. Blucher
- University of Chicago, Chicago, IL 60637 USA
| | - J. Boissevain
- Los Alamos National Laboratory, Los Alamos, NM 87545 USA
| | - S. Bolognesi
- CEA/Saclay, IRFU Institut de Recherche sur les Lois Fondamentales de l’Univers, 91191 Gif-sur-Yvette Cedex, France
| | - T. Bolton
- Kansas State University, Manhattan, KS 66506 USA
| | - M. Bonesini
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - M. Bongrand
- Laboratoire de l’Accélérateur Linéaire, 91440 Orsay, France
| | - F. Bonini
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - A. Booth
- University of Sussex, Brighton, BN1 9RH UK
| | - C. Booth
- University of Sheffield, Sheffield, S3 7RH UK
| | - S. Bordoni
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - A. Borkum
- University of Sussex, Brighton, BN1 9RH UK
| | - T. Boschi
- Durham University, Durham, DH1 3LE UK
| | - N. Bostan
- University of Iowa, Iowa City, IA 52242 USA
| | - P. Bour
- Czech Technical University, 115 19 Prague 1, Czech Republic
| | - S. B. Boyd
- University of Warwick, Coventry, CV4 7AL UK
| | - D. Boyden
- Northern Illinois University, DeKalb, IL 60115 USA
| | - J. Bracinik
- University of Birmingham, Birmingham, B15 2TT UK
| | - D. Braga
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - A. Brandt
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - J. Bremer
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - C. Brew
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - E. Brianne
- University of Manchester, Manchester, M13 9PL UK
| | - S. J. Brice
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - C. Brizzolari
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - C. Bromberg
- Michigan State University, East Lansing, MI 48824 USA
| | | | - J. Brooke
- University of Bristol, Bristol, BS8 1TL UK
| | - A. Bross
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - G. Brunetti
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | - N. Buchanan
- Colorado State University, Fort Collins, CO 80523 USA
| | - H. Budd
- University of Rochester, Rochester, NY 14627 USA
| | - D. Caiulo
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - P. Calafiura
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - J. Calcutt
- Michigan State University, East Lansing, MI 48824 USA
| | - M. Calin
- University of Bucharest, Bucharest, Romania
| | - S. Calvez
- Colorado State University, Fort Collins, CO 80523 USA
| | - E. Calvo
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | | | - A. Caminata
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | | | - D. Caratelli
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - G. Carini
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - B. Carlus
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - P. Carniti
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | | | - H. Carranza
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - A. Castillo
- Universidad Sergio Arboleda, Bogotá, 11022 Colombia
| | | | - C. Cattadori
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | - F. Cavalier
- Laboratoire de l’Accélérateur Linéaire, 91440 Orsay, France
| | - F. Cavanna
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - S. Centro
- Universtà degli Studi di Padova, 35131 Padua, Italy
| | - G. Cerati
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Cervelli
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | | | - M. Chalifour
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - C. Chang
- University of California Riverside, Riverside, CA 92521 USA
| | - E. Chardonnet
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | | | - S. Chattopadhyay
- Variable Energy Cyclotron Centre, Kolkata, West Bengal 700 064 India
| | - J. Chaves
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - H. Chen
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Chen
- University of California Irvine, Irvine, CA 92697 USA
| | - Y. Chen
- University of Bern, 3012 Bern, Switzerland
| | - D. Cherdack
- University of Houston, Houston, TX 77204 USA
| | - C. Chi
- Columbia University, New York, NY 10027 USA
| | - S. Childress
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - K. Cho
- Korea Institute of Science and Technology Information, Daejeon, 34141 South Korea
| | - S. Choubey
- Harish-Chandra Research Institute, Jhunsi, Allahabad, 211 019 India
| | | | - D. Christian
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - G. Christodoulou
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - E. Church
- Pacific Northwest National Laboratory, Richland, WA 99352 USA
| | - P. Clarke
- University of Edinburgh, Edinburgh, EH8 9YL UK
| | - T. E. Coan
- Southern Methodist University, Dallas, TX 75275 USA
| | - A. G. Cocco
- Istituto Nazionale di Fisica Nucleare Sezione di Napoli, 80126 Naples, Italy
| | | | - E. Conley
- Duke University, Durham, NC 27708 USA
| | - J. M. Conrad
- Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - M. Convery
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - L. Corwin
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | - P. Cotte
- CEA/Saclay, IRFU Institut de Recherche sur les Lois Fondamentales de l’Univers, 91191 Gif-sur-Yvette Cedex, France
| | - L. Cremaldi
- University of Mississippi, University, MS 38677 USA
| | | | - J. I. Crespo-Anadón
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - E. Cristaldo
- Universidad Nacional de Asunción, San Lorenzo, Paraguay
| | - R. Cross
- Lancaster University, Lancaster, LA1 4YB UK
| | - C. Cuesta
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - Y. Cui
- University of California Riverside, Riverside, CA 92521 USA
| | - D. Cussans
- University of Bristol, Bristol, BS8 1TL UK
| | - M. Dabrowski
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - H. da Motta
- Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, RJ 22290-180 Brazil
| | - L. Da Silva Peres
- Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ 21941-901 Brazil
| | - C. David
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- York University, Toronto, M3J 1P3 Canada
| | - Q. David
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - G. S. Davies
- University of Mississippi, University, MS 38677 USA
| | - S. Davini
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - J. Dawson
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | - K. De
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - R. M. De Almeida
- Fluminense Federal University, 9 Icaraí, Niterói, RJ 24220-900 Brazil
| | - P. Debbins
- University of Iowa, Iowa City, IA 52242 USA
| | - I. De Bonis
- Laboratoire d’Annecy-le-Vieux de Physique des Particules, CNRS/IN2P3 and Université Savoie Mont Blanc, 74941 Annecy-le-Vieux, France
| | - M. P. Decowski
- University of Amsterdam, 1098 XG Amsterdam, The Netherlands
- Nikhef National Institute of Subatomic Physics, 1098 XG Amsterdam, The Netherlands
| | | | - P. C. De Holanda
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | | | | | - P. De Jong
- University of Amsterdam, 1098 XG Amsterdam, The Netherlands
- Nikhef National Institute of Subatomic Physics, 1098 XG Amsterdam, The Netherlands
| | - A. Delbart
- CEA/Saclay, IRFU Institut de Recherche sur les Lois Fondamentales de l’Univers, 91191 Gif-sur-Yvette Cedex, France
| | - D. Delepine
- Universidad de Guanajuato, C.P. 37000 Guanajuato, Mexico
| | - M. Delgado
- Universidad Antonio Nariño, Bogotá, Colombia
| | - A. Dell’Acqua
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - P. De Lurgio
- Argonne National Laboratory, Argonne, IL 60439 USA
| | | | - D. M. DeMuth
- Valley City State University, Valley City, ND 58072 USA
| | - S. Dennis
- University of Cambridge, Cambridge, CB3 0HE UK
| | - C. Densham
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - G. Deptuch
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. De Roeck
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - V. De Romeri
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | | | | | - M. Dias
- Universidade Federal de São Paulo, São Paulo, 09913-030 Brazil
| | - F. Diaz
- Pontificia Universidad Católica del Perú, Lima, Peru
| | - J. S. Díaz
- Indiana University, Bloomington, IN 47405 USA
| | - S. Di Domizio
- Università degli Studi di Genova, Genoa, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - L. Di Giulio
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - P. Ding
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - L. Di Noto
- Università degli Studi di Genova, Genoa, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - C. Distefano
- Istituto Nazionale di Fisica Nucleare Laboratori Nazionali del Sud, 95123 Catania, Italy
| | - R. Diurba
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - M. Diwan
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - Z. Djurcic
- Argonne National Laboratory, Argonne, IL 60439 USA
| | - N. Dokania
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | | | - L. Domine
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - D. Douglas
- Michigan State University, East Lansing, MI 48824 USA
| | - F. Drielsma
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - D. Duchesneau
- Laboratoire d’Annecy-le-Vieux de Physique des Particules, CNRS/IN2P3 and Université Savoie Mont Blanc, 74941 Annecy-le-Vieux, France
| | - K. Duffy
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - P. Dunne
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - T. Durkin
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - H. Duyang
- University of South Carolina, Columbia, SC 29208 USA
| | | | - D. A. Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | | | - M. Eads
- Northern Illinois University, DeKalb, IL 60115 USA
| | - D. Edmunds
- Michigan State University, East Lansing, MI 48824 USA
| | - J. Eisch
- Iowa State University, Ames, IA 50011 USA
| | - S. Emery
- CEA/Saclay, IRFU Institut de Recherche sur les Lois Fondamentales de l’Univers, 91191 Gif-sur-Yvette Cedex, France
| | | | - C. O. Escobar
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - J. J. Evans
- University of Manchester, Manchester, M13 9PL UK
| | - E. Ewart
- Indiana University, Bloomington, IN 47405 USA
| | | | - K. Fahey
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Falcone
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - C. Farnese
- Universtà degli Studi di Padova, 35131 Padua, Italy
| | - Y. Farzan
- Institute for Research in Fundamental Sciences, Tehran, Iran
| | - J. Felix
- Universidad de Guanajuato, C.P. 37000 Guanajuato, Mexico
| | | | | | - F. Ferraro
- Università degli Studi di Genova, Genoa, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - L. Fields
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Filkins
- William and Mary, Williamsburg, VA 23187 USA
| | - F. Filthaut
- Nikhef National Institute of Subatomic Physics, 1098 XG Amsterdam, The Netherlands
- Radboud University, 6525 AJ Nijmegen, The Netherlands
| | | | - W. Flanagan
- University of Dallas, Irving, TX 75062-4736 USA
| | - B. Fleming
- Yale University, New Haven, CT 06520 USA
| | - R. Flight
- University of Rochester, Rochester, NY 14627 USA
| | - J. Fowler
- Duke University, Durham, NC 27708 USA
| | - W. Fox
- Indiana University, Bloomington, IN 47405 USA
| | - J. Franc
- Czech Technical University, 115 19 Prague 1, Czech Republic
| | - K. Francis
- Northern Illinois University, DeKalb, IL 60115 USA
| | - D. Franco
- Yale University, New Haven, CT 06520 USA
| | - J. Freeman
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Freestone
- University of Manchester, Manchester, M13 9PL UK
| | - J. Fried
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - A. Friedland
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - S. Fuess
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - I. Furic
- University of Florida, Gainesville, FL 32611-8440 USA
| | - A. P. Furmanski
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - A. Gago
- Pontificia Universidad Católica del Perú, Lima, Peru
| | | | - A. Gallego-Ros
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - N. Gallice
- Istituto Nazionale di Fisica Nucleare Sezione di Milano, 20133 Milan, Italy
- Università degli Studi di Milano, 20133 Milan, Italy
| | - V. Galymov
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - E. Gamberini
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - T. Gamble
- University of Sheffield, Sheffield, S3 7RH UK
| | - R. Gandhi
- Harish-Chandra Research Institute, Jhunsi, Allahabad, 211 019 India
| | - R. Gandrajula
- Michigan State University, East Lansing, MI 48824 USA
| | - S. Gao
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | | | - S. Gardiner
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - G. Ge
- Columbia University, New York, NY 10027 USA
| | - B. Gelli
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | | | - S. Gent
- South Dakota State University, Brookings, SD 57007 USA
| | | | - D. Gibin
- Universtà degli Studi di Padova, 35131 Padua, Italy
| | - I. Gil-Botella
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - C. Girerd
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - A. K. Giri
- Indian Institute of Technology Hyderabad, Hyderabad, 502285 India
| | - D. Gnani
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - O. Gogota
- Kyiv National University, Kiev, 01601 Ukraine
| | - M. Gold
- University of New Mexico, Albuquerque, NM 87131 USA
| | - S. Gollapinni
- Los Alamos National Laboratory, Los Alamos, NM 87545 USA
| | - K. Gollwitzer
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. A. Gomes
- Universidade Federal de Goias, Goiânia, GO 74690-900 Brazil
| | | | | | - F. Gonnella
- University of Birmingham, Birmingham, B15 2TT UK
| | | | | | - O. Goodwin
- University of Manchester, Manchester, M13 9PL UK
| | - S. Goswami
- Physical Research Laboratory, Ahmedabad, 380 009 India
| | - C. Gotti
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | | | - C. Grace
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - M. Graham
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | | | - R. Gran
- University of Minnesota Duluth, Duluth, MN 55812 USA
| | - E. Granados
- Universidad de Guanajuato, C.P. 37000 Guanajuato, Mexico
| | - A. Grant
- Daresbury Laboratory, Cheshire, WA4 4AD UK
| | - C. Grant
- Boston University, Boston, MA 02215 USA
| | - D. Gratieri
- Fluminense Federal University, 9 Icaraí, Niterói, RJ 24220-900 Brazil
| | - P. Green
- University of Manchester, Manchester, M13 9PL UK
| | - S. Green
- University of Cambridge, Cambridge, CB3 0HE UK
| | - L. Greenler
- University of Wisconsin Madison, Madison, WI 53706 USA
| | - M. Greenwood
- Oregon State University, Corvallis, OR 97331 USA
| | - J. Greer
- University of Bristol, Bristol, BS8 1TL UK
| | | | - M. Groh
- Indiana University, Bloomington, IN 47405 USA
| | | | - K. Grzelak
- University of Warsaw, 00-927 Warsaw, Poland
| | - W. Gu
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - V. Guarino
- Argonne National Laboratory, Argonne, IL 60439 USA
| | | | - A. Guglielmi
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | - B. Guo
- University of South Carolina, Columbia, SC 29208 USA
| | | | | | - P. Guzowski
- University of Manchester, Manchester, M13 9PL UK
| | - M. M. Guzzo
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - S. Gwon
- Chung-Ang University, Seoul, 06974 South Korea
| | - A. Habig
- University of Minnesota Duluth, Duluth, MN 55812 USA
| | | | - H. Hadavand
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - R. Haenni
- University of Bern, 3012 Bern, Switzerland
| | - A. Hahn
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Haigh
- University of Warwick, Coventry, CV4 7AL UK
| | - J. Haiston
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | - T. Hamernik
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - P. Hamilton
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - J. Han
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - K. Harder
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - D. A. Harris
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- York University, Toronto, M3J 1P3 Canada
| | | | - T. Hasegawa
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801 Japan
| | - R. Hatcher
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - E. Hazen
- Boston University, Boston, MA 02215 USA
| | - A. Heavey
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - J. Heise
- Sanford Underground Research Facility, Lead, SD 57754 USA
| | - K. Hennessy
- University of Liverpool, Liverpool, L69 7ZE UK
| | - S. Henry
- University of Rochester, Rochester, NY 14627 USA
| | | | - K. Herner
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - L. Hertel
- University of California Irvine, Irvine, CA 92697 USA
| | - A. S. Hesam
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - J. Hewes
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - A. Higuera
- University of Houston, Houston, TX 77204 USA
| | - T. Hill
- Idaho State University, Pocatello, ID 83209 USA
| | | | - A. Himmel
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Hoff
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - C. Hohl
- University of Basel, 4056 Basel, Switzerland
| | - A. Holin
- University College London, London, WC1E 6BT UK
| | - E. Hoppe
- Pacific Northwest National Laboratory, Richland, WA 99352 USA
| | | | | | - A. Hourlier
- Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - B. Howard
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. Howell
- University of Rochester, Rochester, NY 14627 USA
| | - J. Huang
- University of Texas at Austin, Austin, TX 78712 USA
| | - J. Huang
- University of California Davis, Davis, CA 95616 USA
| | - J. Hugon
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - G. Iles
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - N. Ilic
- University of Toronto, Toronto, ON M5S 1A1 Canada
| | - A. M. Iliescu
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - R. Illingworth
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Ioannisian
- Yerevan Institute for Theoretical Physics and Modeling, 0036 Yerevan, Armenia
| | - R. Itay
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - A. Izmaylov
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | - E. James
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - B. Jargowsky
- University of California Irvine, Irvine, CA 92697 USA
| | - F. Jediny
- Czech Technical University, 115 19 Prague 1, Czech Republic
| | | | - X. Ji
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - L. Jiang
- Virginia Tech, Blacksburg, VA 24060 USA
| | - S. Jiménez
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - A. Jipa
- University of Bucharest, Bucharest, Romania
| | - A. Joglekar
- University of California Riverside, Riverside, CA 92521 USA
| | - C. Johnson
- Colorado State University, Fort Collins, CO 80523 USA
| | - R. Johnson
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - B. Jones
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - S. Jones
- University College London, London, WC1E 6BT UK
| | - C. K. Jung
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - T. Junk
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - Y. Jwa
- Columbia University, New York, NY 10027 USA
| | | | - A. Kaboth
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - I. Kadenko
- Kyiv National University, Kiev, 01601 Ukraine
| | - F. Kamiya
- Universidade Federal do ABC, Santo André, SP 09210-580 Brazil
| | | | - A. Karcher
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - M. Karolak
- CEA/Saclay, IRFU Institut de Recherche sur les Lois Fondamentales de l’Univers, 91191 Gif-sur-Yvette Cedex, France
| | - Y. Karyotakis
- Laboratoire d’Annecy-le-Vieux de Physique des Particules, CNRS/IN2P3 and Université Savoie Mont Blanc, 74941 Annecy-le-Vieux, France
| | - S. Kasai
- National Institute of Technology, Kure College, Hiroshima, 737-8506 Japan
| | - S. P. Kasetti
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - L. Kashur
- Colorado State University, Fort Collins, CO 80523 USA
| | - N. Kazaryan
- Yerevan Institute for Theoretical Physics and Modeling, 0036 Yerevan, Armenia
| | - E. Kearns
- Boston University, Boston, MA 02215 USA
| | - P. Keener
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - K. J. Kelly
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - E. Kemp
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - W. Ketchum
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - M. Khabibullin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | - A. Khotjantsev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | | | - D. Kim
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - B. King
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - B. Kirby
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Kirby
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Klein
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - K. Koehler
- University of Wisconsin Madison, Madison, WI 53706 USA
| | | | - S. Kohn
- University of California Berkeley, Berkeley, CA 94720 USA
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | | | - M. Kordosky
- William and Mary, Williamsburg, VA 23187 USA
| | - T. Kosc
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - U. Kose
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | | | | | | | - I. Kreslo
- University of Bern, 3012 Bern, Switzerland
| | - Y. Kudenko
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | | | - S. Kulagin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | - J. Kumar
- University of Hawaii, Honolulu, HI 96822 USA
| | - R. Kumar
- Punjab Agricultural University, Ludhiana, 141004 India
| | - C. Kuruppu
- University of South Carolina, Columbia, SC 29208 USA
| | - V. Kus
- Czech Technical University, 115 19 Prague 1, Czech Republic
| | - T. Kutter
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - A. Lambert
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - K. Lande
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - C. E. Lane
- Drexel University, Philadelphia, PA 19104 USA
| | - K. Lang
- University of Texas at Austin, Austin, TX 78712 USA
| | | | - P. Lasorak
- University of Sussex, Brighton, BN1 9RH UK
| | - D. Last
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - C. Lastoria
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - A. Laundrie
- University of Wisconsin Madison, Madison, WI 53706 USA
| | - A. Lawrence
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - I. Lazanu
- University of Bucharest, Bucharest, Romania
| | - R. LaZur
- Colorado State University, Fort Collins, CO 80523 USA
| | - T. Le
- Tufts University, Medford, MA 02155 USA
| | - J. Learned
- University of Hawaii, Honolulu, HI 96822 USA
| | - P. LeBrun
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - G. Lehmann Miotto
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - R. Lehnert
- Indiana University, Bloomington, IN 47405 USA
| | | | - M. Leitner
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - M. Leyton
- Institut de Fìsica d’Altes Energies, Barcelona, Spain
| | - L. Li
- University of California Irvine, Irvine, CA 92697 USA
| | - S. Li
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - S. W. Li
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - T. Li
- University of Edinburgh, Edinburgh, EH8 9YL UK
| | - Y. Li
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - H. Liao
- Kansas State University, Manhattan, KS 66506 USA
| | - C. S. Lin
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - S. Lin
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - A. Lister
- University of Wisconsin Madison, Madison, WI 53706 USA
| | | | - J. Liu
- University of California Irvine, Irvine, CA 92697 USA
| | - S. Lockwitz
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - T. Loew
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - M. Lokajicek
- Institute of Physics, Czech Academy of Sciences, 182 00 Prague 8, Czech Republic
| | - I. Lomidze
- Georgian Technical University, Tbilisi, Georgia
| | - K. Long
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - K. Loo
- University of Jyvaskyla, 40014 Jyväskylä, Finland
| | - D. Lorca
- University of Bern, 3012 Bern, Switzerland
| | - T. Lord
- University of Warwick, Coventry, CV4 7AL UK
| | | | - W. C. Louis
- Los Alamos National Laboratory, Los Alamos, NM 87545 USA
| | - K. B. Luk
- University of California Berkeley, Berkeley, CA 94720 USA
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - X. Luo
- University of California Santa Barbara, Santa Barbara, CA 93106 USA
| | - N. Lurkin
- University of Birmingham, Birmingham, B15 2TT UK
| | - T. Lux
- Institut de Fìsica d’Altes Energies, Barcelona, Spain
| | - V. P. Luzio
- Universidade Federal do ABC, Santo André, SP 09210-580 Brazil
| | - D. MacFarland
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - A. A. Machado
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - P. Machado
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - J. R. Macier
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Maddalena
- Laboratori Nazionali del Gran Sasso, L’Aquila, AQ Italy
| | - P. Madigan
- University of California Berkeley, Berkeley, CA 94720 USA
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - S. Magill
- Argonne National Laboratory, Argonne, IL 60439 USA
| | - K. Mahn
- Michigan State University, East Lansing, MI 48824 USA
| | - A. Maio
- Faculdade de Ciências da Universidade de Lisboa-FCUL, 1749-016 Lisbon, Portugal
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003, Lisbon and, 3004-516 Coimbra, Portugal
| | | | - G. Mandrioli
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - J. Maneira
- Faculdade de Ciências da Universidade de Lisboa-FCUL, 1749-016 Lisbon, Portugal
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003, Lisbon and, 3004-516 Coimbra, Portugal
| | - L. Manenti
- University College London, London, WC1E 6BT UK
| | - S. Manly
- University of Rochester, Rochester, NY 14627 USA
| | - A. Mann
- Tufts University, Medford, MA 02155 USA
| | | | | | - A. Marchionni
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - W. Marciano
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - D. Marfatia
- University of Hawaii, Honolulu, HI 96822 USA
| | | | - J. Maricic
- University of Hawaii, Honolulu, HI 96822 USA
| | - F. Marinho
- Universidade Federal de São Carlos, Araras, SP 13604-900 Brazil
| | - A. D. Marino
- University of Colorado Boulder, Boulder, CO 80309 USA
| | - M. Marshak
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - C. Marshall
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | | | - J. Marteau
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - J. Martin-Albo
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | - N. Martinez
- Kansas State University, Manhattan, KS 66506 USA
| | | | - S. Martynenko
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - K. Mason
- Tufts University, Medford, MA 02155 USA
| | - A. Mastbaum
- Rutgers University, Piscataway, NJ 08854 USA
| | - M. Masud
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | - S. Matsuno
- University of Hawaii, Honolulu, HI 96822 USA
| | - J. Matthews
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - C. Mauger
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - N. Mauri
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | | | - R. Mazza
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | - A. Mazzacane
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - E. Mazzucato
- CEA/Saclay, IRFU Institut de Recherche sur les Lois Fondamentales de l’Univers, 91191 Gif-sur-Yvette Cedex, France
| | - E. McCluskey
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - N. McConkey
- University of Manchester, Manchester, M13 9PL UK
| | | | - C. McGrew
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - A. McNab
- University of Manchester, Manchester, M13 9PL UK
| | - A. Mefodiev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | - P. Mehta
- Jawaharlal Nehru University, New Delhi, 110067 India
| | - P. Melas
- University of Athens, 157 84 Zografou, Greece
| | - M. Mellinato
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - O. Mena
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | - S. Menary
- York University, Toronto, M3J 1P3 Canada
| | - H. Mendez
- University of Puerto Rico, Mayagüez, PR 00681 USA
| | - A. Menegolli
- Istituto Nazionale di Fisica Nucleare Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Pavia, 27100 Pavia, PV Italy
| | - G. Meng
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | | | - W. Metcalf
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - M. Mewes
- Indiana University, Bloomington, IN 47405 USA
| | - H. Meyer
- Wichita State University, Wichita, KS 67260 USA
| | - T. Miao
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - G. Michna
- South Dakota State University, Brookings, SD 57007 USA
| | - T. Miedema
- Nikhef National Institute of Subatomic Physics, 1098 XG Amsterdam, The Netherlands
- Radboud University, 6525 AJ Nijmegen, The Netherlands
| | - J. Migenda
- University of Sheffield, Sheffield, S3 7RH UK
| | - R. Milincic
- University of Hawaii, Honolulu, HI 96822 USA
| | - W. Miller
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - J. Mills
- Tufts University, Medford, MA 02155 USA
| | - C. Milne
- Idaho State University, Pocatello, ID 83209 USA
| | - O. Mineev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | - O. G. Miranda
- Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav), Mexico City, Mexico
| | - S. Miryala
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - C. S. Mishra
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - S. R. Mishra
- University of South Carolina, Columbia, SC 29208 USA
| | - A. Mislivec
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - D. Mladenov
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - I. Mocioiu
- Pennsylvania State University, University Park, PA 16802 USA
| | - K. Moffat
- Durham University, Durham, DH1 3LE UK
| | - N. Moggi
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - R. Mohanta
- University of Hyderabad, Gachibowli, Hyderabad, 500 046 India
| | - T. A. Mohayai
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - N. Mokhov
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Molina
- Universidad Nacional de Asunción, San Lorenzo, Paraguay
| | | | - A. Montanari
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - C. Montanari
- Istituto Nazionale di Fisica Nucleare Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Pavia, 27100 Pavia, PV Italy
| | - D. Montanari
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - L. M. Montano Zetina
- Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav), Mexico City, Mexico
| | - J. Moon
- Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - M. Mooney
- Colorado State University, Fort Collins, CO 80523 USA
| | - A. Moor
- University of Cambridge, Cambridge, CB3 0HE UK
| | - D. Moreno
- Universidad Antonio Nariño, Bogotá, Colombia
| | - B. Morgan
- University of Warwick, Coventry, CV4 7AL UK
| | - C. Morris
- University of Houston, Houston, TX 77204 USA
| | - C. Mossey
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - E. Motuk
- University College London, London, WC1E 6BT UK
| | - C. A. Moura
- Universidade Federal do ABC, Santo André, SP 09210-580 Brazil
| | - J. Mousseau
- University of Michigan, Ann Arbor, MI 48109 USA
| | - W. Mu
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - L. Mualem
- California Institute of Technology, Pasadena, CA 91125 USA
| | - J. Mueller
- Colorado State University, Fort Collins, CO 80523 USA
| | - M. Muether
- Wichita State University, Wichita, KS 67260 USA
| | - S. Mufson
- Indiana University, Bloomington, IN 47405 USA
| | - F. Muheim
- University of Edinburgh, Edinburgh, EH8 9YL UK
| | - A. Muir
- Daresbury Laboratory, Cheshire, WA4 4AD UK
| | - M. Mulhearn
- University of California Davis, Davis, CA 95616 USA
| | - H. Muramatsu
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | | | - J. Musser
- Indiana University, Bloomington, IN 47405 USA
| | | | - S. Nagu
- University of Lucknow, Lucknow, Uttar Pradesh 226007 India
| | - M. Nalbandyan
- Yerevan Institute for Theoretical Physics and Modeling, 0036 Yerevan, Armenia
| | - R. Nandakumar
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - D. Naples
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - S. Narita
- Iwate University, Morioka, Iwate 020-8551 Japan
| | - D. Navas-Nicolás
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - N. Nayak
- University of California Irvine, Irvine, CA 92697 USA
| | | | - L. Necib
- California Institute of Technology, Pasadena, CA 91125 USA
| | - K. Negishi
- Iwate University, Morioka, Iwate 020-8551 Japan
| | | | - J. Nesbit
- University of Wisconsin Madison, Madison, WI 53706 USA
| | - M. Nessi
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - D. Newbold
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - M. Newcomer
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - D. Newhart
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. Nichol
- University College London, London, WC1E 6BT UK
| | - E. Niner
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - A. Norman
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Norrick
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. Northrop
- University of Chicago, Chicago, IL 60637 USA
| | - P. Novella
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | | | - M. Oberling
- Argonne National Laboratory, Argonne, IL 60439 USA
| | | | - A. Olivier
- University of Rochester, Rochester, NY 14627 USA
| | - Y. Onel
- University of Iowa, Iowa City, IA 52242 USA
| | | | - J. Ott
- University of California Irvine, Irvine, CA 92697 USA
| | - L. Pagani
- University of California Davis, Davis, CA 95616 USA
| | - S. Pakvasa
- University of Hawaii, Honolulu, HI 96822 USA
| | - O. Palamara
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - S. Palestini
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - J. M. Paley
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - M. Pallavicini
- Università degli Studi di Genova, Genoa, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - C. Palomares
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - E. Pantic
- University of California Davis, Davis, CA 95616 USA
| | - V. Paolone
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | | | - R. Papaleo
- Istituto Nazionale di Fisica Nucleare Laboratori Nazionali del Sud, 95123 Catania, Italy
| | - A. Papanestis
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | | | - J. C. Park
- Chungnam National University, Daejeon, 34134 South Korea
| | - S. Parke
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - Z. Parsa
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Parvu
- University of Bucharest, Bucharest, Romania
| | | | - L. Pasqualini
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - J. Pasternak
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - J. Pater
- University of Manchester, Manchester, M13 9PL UK
| | - C. Patrick
- University College London, London, WC1E 6BT UK
| | - L. Patrizii
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | | | - S. J. Patton
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - T. Patzak
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | - A. Paudel
- Kansas State University, Manhattan, KS 66506 USA
| | - B. Paulos
- University of Wisconsin Madison, Madison, WI 53706 USA
| | - L. Paulucci
- Universidade Federal do ABC, Santo André, SP 09210-580 Brazil
| | - Z. Pavlovic
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - G. Pawloski
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - D. Payne
- University of Liverpool, Liverpool, L69 7ZE UK
| | - V. Pec
- University of Sheffield, Sheffield, S3 7RH UK
| | | | - Y. Penichot
- CEA/Saclay, IRFU Institut de Recherche sur les Lois Fondamentales de l’Univers, 91191 Gif-sur-Yvette Cedex, France
| | - E. Pennacchio
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - A. Penzo
- University of Iowa, Iowa City, IA 52242 USA
| | - O. L. G. Peres
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - J. Perry
- University of Edinburgh, Edinburgh, EH8 9YL UK
| | | | - G. Pessina
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | - G. Petrillo
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - C. Petta
- Università di Catania, 2, 95131 Catania, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Catania, 95123 Catania, Italy
| | - R. Petti
- University of South Carolina, Columbia, SC 29208 USA
| | - F. Piastra
- University of Bern, 3012 Bern, Switzerland
| | - L. Pickering
- Michigan State University, East Lansing, MI 48824 USA
| | - F. Pietropaolo
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | - J. Pillow
- University of Warwick, Coventry, CV4 7AL UK
| | - J. Pinzino
- University of Toronto, Toronto, ON M5S 1A1 Canada
| | - R. Plunkett
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. Poling
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - X. Pons
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | | | - S. Pordes
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - M. Potekhin
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - R. Potenza
- Università di Catania, 2, 95131 Catania, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Catania, 95123 Catania, Italy
| | | | - J. Pozimski
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - M. Pozzato
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - S. Prakash
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - T. Prakash
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - S. Prince
- Harvard University, Cambridge, MA 02138 USA
| | - G. Prior
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003, Lisbon and, 3004-516 Coimbra, Portugal
| | - D. Pugnere
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - K. Qi
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - X. Qian
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - J. L. Raaf
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. Raboanary
- University of Antananarivo, 101 Antananarivo, Madagascar
| | - V. Radeka
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | | | - A. Rafique
- Argonne National Laboratory, Argonne, IL 60439 USA
| | - E. Raguzin
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Rai
- University of Warwick, Coventry, CV4 7AL UK
| | | | - I. Rakhno
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | | | | | - R. Rameika
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - B. Ramson
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Rappoldi
- Istituto Nazionale di Fisica Nucleare Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Pavia, 27100 Pavia, PV Italy
| | - G. Raselli
- Istituto Nazionale di Fisica Nucleare Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Pavia, 27100 Pavia, PV Italy
| | - P. Ratoff
- Lancaster University, Lancaster, LA1 4YB UK
| | - S. Ravat
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - H. Razafinime
- University of Antananarivo, 101 Antananarivo, Madagascar
| | - J. S. Real
- University Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | - B. Rebel
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- University of Wisconsin Madison, Madison, WI 53706 USA
| | - D. Redondo
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | | | - T. Rehak
- Drexel University, Philadelphia, PA 19104 USA
| | - J. Reichenbacher
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | - S. D. Reitzner
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Renshaw
- University of Houston, Houston, TX 77204 USA
| | - S. Rescia
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - F. Resnati
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | | | - G. Riccobene
- Istituto Nazionale di Fisica Nucleare Laboratori Nazionali del Sud, 95123 Catania, Italy
| | | | - K. Rielage
- Los Alamos National Laboratory, Los Alamos, NM 87545 USA
| | | | - D. Rivera
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - L. Rochester
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - M. Roda
- University of Liverpool, Liverpool, L69 7ZE UK
| | | | | | | | | | - H. Rogers
- Colorado State University, Fort Collins, CO 80523 USA
| | | | - M. Rossella
- Istituto Nazionale di Fisica Nucleare Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Pavia, 27100 Pavia, PV Italy
| | - J. Rout
- Jawaharlal Nehru University, New Delhi, 110067 India
| | - S. Roy
- Harish-Chandra Research Institute, Jhunsi, Allahabad, 211 019 India
| | | | - C. Rubbia
- Gran Sasso Science Institute, L’Aquila, Italy
| | - B. Russell
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - J. Russell
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | | | - R. Saakyan
- University College London, London, WC1E 6BT UK
| | - S. Sacerdoti
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | - T. Safford
- Michigan State University, East Lansing, MI 48824 USA
| | - N. Sahu
- Indian Institute of Technology Hyderabad, Hyderabad, 502285 India
| | - P. Sala
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
- Istituto Nazionale di Fisica Nucleare Sezione di Milano, 20133 Milan, Italy
| | - N. Samios
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | | | - D. Sankey
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - S. Santana
- University of Puerto Rico, Mayagüez, PR 00681 USA
| | | | | | - P. Sapienza
- Istituto Nazionale di Fisica Nucleare Laboratori Nazionali del Sud, 95123 Catania, Italy
| | - C. Sarasty
- University of Cincinnati, Cincinnati, OH 45221 USA
| | | | - G. Savage
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - V. Savinov
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - A. Scaramelli
- Istituto Nazionale di Fisica Nucleare Sezione di Pavia, 27100 Pavia, Italy
| | - A. Scarff
- University of Sheffield, Sheffield, S3 7RH UK
| | - A. Scarpelli
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - T. Schaffer
- University of Minnesota Duluth, Duluth, MN 55812 USA
| | - H. Schellman
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- Oregon State University, Corvallis, OR 97331 USA
| | - P. Schlabach
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - D. Schmitz
- University of Chicago, Chicago, IL 60637 USA
| | | | - A. Schukraft
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - E. Segreto
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - J. Sensenig
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - I. Seong
- University of California Irvine, Irvine, CA 92697 USA
| | - A. Sergi
- University of Birmingham, Birmingham, B15 2TT UK
| | | | | | | | - S. Shafaq
- Jawaharlal Nehru University, New Delhi, 110067 India
| | - M. Shamma
- University of California Riverside, Riverside, CA 92521 USA
| | | | - R. Sharma
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - T. Shaw
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - S. Shin
- Jeonbuk National University, Jeonju, Jeonrabuk-do 54896 South Korea
| | - D. Shooltz
- Michigan State University, East Lansing, MI 48824 USA
| | - R. Shrock
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - L. Simard
- Laboratoire de l’Accélérateur Linéaire, 91440 Orsay, France
| | - N. Simos
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | - G. Sinev
- Duke University, Durham, NC 27708 USA
| | - J. Singh
- University of Lucknow, Lucknow, Uttar Pradesh 226007 India
| | - J. Singh
- University of Lucknow, Lucknow, Uttar Pradesh 226007 India
| | - V. Singh
- Banaras Hindu University, Varanasi, 221 005 India
- Central University of South Bihar, Gaya, 824236 India
| | - R. Sipos
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | | | - G. Sirri
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - A. Sitraka
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | - K. Siyeon
- Chung-Ang University, Seoul, 06974 South Korea
| | | | - A. Smith
- Duke University, Durham, NC 27708 USA
| | - A. Smith
- University of Cambridge, Cambridge, CB3 0HE UK
| | - E. Smith
- Indiana University, Bloomington, IN 47405 USA
| | - P. Smith
- Indiana University, Bloomington, IN 47405 USA
| | - J. Smolik
- Czech Technical University, 115 19 Prague 1, Czech Republic
| | - M. Smy
- University of California Irvine, Irvine, CA 92697 USA
| | - P. Snopok
- Illinois Institute of Technology, Chicago, IL 60616 USA
| | - M. Soares Nunes
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - H. Sobel
- University of California Irvine, Irvine, CA 92697 USA
| | | | | | | | - N. Solomey
- Wichita State University, Wichita, KS 67260 USA
| | - V. Solovov
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003, Lisbon and, 3004-516 Coimbra, Portugal
| | - W. E. Sondheim
- Los Alamos National Laboratory, Los Alamos, NM 87545 USA
| | - M. Sorel
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | - J. Soto-Oton
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - A. Sousa
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - K. Soustruznik
- Institute of Particle and Nuclear Physics of the Faculty of Mathematics and Physics of the Charles University, 180 00 Prague 8, Czech Republic
| | | | - M. Spanu
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - J. Spitz
- University of Michigan, Ann Arbor, MI 48109 USA
| | | | | | - R. Staley
- University of Birmingham, Birmingham, B15 2TT UK
| | - M. Stancari
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - L. Stanco
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | - H. M. Steiner
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - J. Stewart
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | - J. Stock
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | - F. Stocker
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - D. Stocks
- Stanford University, Stanford, CA 94305 USA
| | - T. Stokes
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - M. Strait
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - T. Strauss
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - S. Striganov
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Stuart
- Universidad de Colima, Colima, Mexico
| | - D. Summers
- University of Mississippi, University, MS 38677 USA
| | - A. Surdo
- Istituto Nazionale di Fisica Nucleare Sezione di Lecce, 73100 Lecce, Italy
| | - V. Susic
- University of Basel, 4056 Basel, Switzerland
| | - L. Suter
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - C. M. Sutera
- Università di Catania, 2, 95131 Catania, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Catania, 95123 Catania, Italy
| | - R. Svoboda
- University of California Davis, Davis, CA 95616 USA
| | - B. Szczerbinska
- Texas A&M University-Corpus Christi, Corpus Christi, TX 78412 USA
| | - A. M. Szelc
- University of Manchester, Manchester, M13 9PL UK
| | - R. Talaga
- Argonne National Laboratory, Argonne, IL 60439 USA
| | - H. A. Tanaka
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | | | - A. Tapper
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - S. Tariq
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - E. Tatar
- Idaho State University, Pocatello, ID 83209 USA
| | - R. Tayloe
- Indiana University, Bloomington, IN 47405 USA
| | - A. M. Teklu
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - M. Tenti
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - K. Terao
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - C. A. Ternes
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | - F. Terranova
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - G. Testera
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - A. Thea
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | | | - C. Thorn
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - S. C. Timm
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Todd
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - A. Tonazzo
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | - M. Torti
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - M. Tortola
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | - F. Tortorici
- Università di Catania, 2, 95131 Catania, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Catania, 95123 Catania, Italy
| | - D. Totani
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - M. Toups
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - J. Trevor
- California Institute of Technology, Pasadena, CA 91125 USA
| | | | - Y.-T. Tsai
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | | | - K. V. Tsang
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - N. Tsverava
- Georgian Technical University, Tbilisi, Georgia
| | - S. Tufanli
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - C. Tull
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - E. Tyley
- University of Sheffield, Sheffield, S3 7RH UK
| | - M. Tzanov
- Louisiana State University, Baton Rouge, LA 70803 USA
| | | | - J. Urheim
- Indiana University, Bloomington, IN 47405 USA
| | - T. Usher
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - M. R. Vagins
- Kavli Institute for the Physics and Mathematics of the Universe, Kashiwa, Chiba 277-8583 Japan
| | - P. Vahle
- William and Mary, Williamsburg, VA 23187 USA
| | - G. A. Valdiviesso
- Universidade Federal de Alfenas, Poços de Caldas, MG 37715-400 Brazil
| | - E. Valencia
- William and Mary, Williamsburg, VA 23187 USA
| | - Z. Vallari
- California Institute of Technology, Pasadena, CA 91125 USA
| | - J. W. F. Valle
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | - S. Vallecorsa
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - R. Van Berg
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | | | | | - F. Varanini
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | - D. Vargas
- Institut de Fìsica d’Altes Energies, Barcelona, Spain
| | - G. Varner
- University of Hawaii, Honolulu, HI 96822 USA
| | - J. Vasel
- Indiana University, Bloomington, IN 47405 USA
| | - G. Vasseur
- CEA/Saclay, IRFU Institut de Recherche sur les Lois Fondamentales de l’Univers, 91191 Gif-sur-Yvette Cedex, France
| | - K. Vaziri
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - S. Ventura
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | - A. Verdugo
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - S. Vergani
- University of Cambridge, Cambridge, CB3 0HE UK
| | - M. A. Vermeulen
- Nikhef National Institute of Subatomic Physics, 1098 XG Amsterdam, The Netherlands
| | - M. Verzocchi
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - C. Vignoli
- Laboratori Nazionali del Gran Sasso, L’Aquila, AQ Italy
| | - C. Vilela
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - B. Viren
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - T. Vrba
- Czech Technical University, 115 19 Prague 1, Czech Republic
| | - T. Wachala
- H. Niewodniczański Institute of Nuclear Physics, Polish Academy of Sciences, Cracow, Poland
| | - A. V. Waldron
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - M. Wallbank
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - H. Wang
- University of California Los Angeles, Los Angeles, CA 90095 USA
| | - J. Wang
- University of California Davis, Davis, CA 95616 USA
| | - Y. Wang
- University of California Los Angeles, Los Angeles, CA 90095 USA
| | - Y. Wang
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | | | - D. Warner
- Colorado State University, Fort Collins, CO 80523 USA
| | - M. Wascko
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - D. Waters
- University College London, London, WC1E 6BT UK
| | - A. Watson
- University of Birmingham, Birmingham, B15 2TT UK
| | | | - A. Weber
- University of Oxford, Oxford, OX1 3RH UK
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - M. Weber
- University of Bern, 3012 Bern, Switzerland
| | - H. Wei
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | - D. Wenman
- University of Wisconsin Madison, Madison, WI 53706 USA
| | | | - M. R. While
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | - A. White
- University of Texas at Arlington, Arlington, TX 76019 USA
| | | | | | - M. J. Wilking
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | | | - Z. Williams
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - F. Wilson
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - R. J. Wilson
- Colorado State University, Fort Collins, CO 80523 USA
| | | | | | - K. Wood
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - L. Wood
- Pacific Northwest National Laboratory, Richland, WA 99352 USA
| | - E. Worcester
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Worcester
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - C. Wret
- University of Rochester, Rochester, NY 14627 USA
| | - W. Wu
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - W. Wu
- University of California Irvine, Irvine, CA 92697 USA
| | - Y. Xiao
- University of California Irvine, Irvine, CA 92697 USA
| | - G. Yang
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - T. Yang
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - N. Yershov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | - K. Yonehara
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - T. Young
- University of North Dakota, Grand Forks, ND 58202-8357 USA
| | - B. Yu
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - J. Yu
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - R. Zaki
- York University, Toronto, M3J 1P3 Canada
| | - J. Zalesak
- Institute of Physics, Czech Academy of Sciences, 182 00 Prague 8, Czech Republic
| | - L. Zambelli
- Laboratoire d’Annecy-le-Vieux de Physique des Particules, CNRS/IN2P3 and Université Savoie Mont Blanc, 74941 Annecy-le-Vieux, France
| | - B. Zamorano
- University of Granada and CAFPE, 18002 Granada, Spain
| | - A. Zani
- Istituto Nazionale di Fisica Nucleare Sezione di Milano, 20133 Milan, Italy
| | - L. Zazueta
- William and Mary, Williamsburg, VA 23187 USA
| | - G. P. Zeller
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Zennamo
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - K. Zeug
- University of Wisconsin Madison, Madison, WI 53706 USA
| | - C. Zhang
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Zhao
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - Y. Zhao
- University of Utah, Salt Lake City, UT 84112 USA
| | - E. Zhivun
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - G. Zhu
- Ohio State University, Columbus, OH 43210 USA
| | | | - M. Zito
- CEA/Saclay, IRFU Institut de Recherche sur les Lois Fondamentales de l’Univers, 91191 Gif-sur-Yvette Cedex, France
| | - S. Zucchelli
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - J. Zuklin
- Institute of Physics, Czech Academy of Sciences, 182 00 Prague 8, Czech Republic
| | - V. Zutshi
- Northern Illinois University, DeKalb, IL 60115 USA
| | - R. Zwaska
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
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Moon J, Tunuguntla H, Tume S, Spinner J, Elias B, McMullen J, Dreyer W, Denfield S, Price J, Choudhry S, Puri K, Spigel Z, Cho J, Adachi I. Clinical Outcomes of Ventricular Assist Device for Failing Bidirectional Glenn Physiology. J Heart Lung Transplant 2021. [DOI: 10.1016/j.healun.2021.01.1959] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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Moreno-Martinez D, Aguiar P, Auray-Blais C, Beck M, Bichet DG, Burlina A, Cole D, Elliott P, Feldt-Rasmussen U, Feriozzi S, Fletcher J, Giugliani R, Jovanovic A, Kampmann C, Langeveld M, Lidove O, Linhart A, Mauer M, Moon JC, Muir A, Nowak A, Oliveira JP, Ortiz A, Pintos-Morell G, Politei J, Rozenfeld P, Schiffmann R, Svarstad E, Talbot AS, Thomas M, Tøndel C, Warnock D, West ML, Hughes DA. Standardising clinical outcomes measures for adult clinical trials in Fabry disease: A global Delphi consensus. Mol Genet Metab 2021; 132:234-243. [PMID: 33642210 DOI: 10.1016/j.ymgme.2021.02.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 02/01/2021] [Accepted: 02/01/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND Recent years have witnessed a considerable increase in clinical trials of new investigational agents for Fabry disease (FD). Several trials investigating different agents are currently in progress; however, lack of standardisation results in challenges to interpretation and comparison. To facilitate the standardisation of investigational programs, we have developed a common framework for future clinical trials in FD. METHODS AND FINDINGS A broad consensus regarding clinical outcomes and ways to measure them was obtained via the Delphi methodology. 35 FD clinical experts from 4 continents, representing 3389 FD patients, participated in 3 rounds of Delphi procedure. The aim was to reach a consensus regarding clinical trial design, best treatment comparator, clinical outcomes, measurement of those clinical outcomes and inclusion and exclusion criteria. Consensus results of this initiative included: the selection of the adaptative clinical trial as the ideal study design and agalsidase beta as ideal comparator treatment due to its longstanding use in FD. Renal and cardiac outcomes, such as glomerular filtration rate, proteinuria and left ventricular mass index, were prioritised, whereas neurological outcomes including cerebrovascular and white matter lesions were dismissed as a primary or secondary outcome measure. Besides, there was a consensus regarding the importance of patient-related outcomes such as general quality of life, pain, and gastrointestinal symptoms. Also, unity about lysoGb3 and Gb3 tissue deposits as useful surrogate markers of the disease was obtained. The group recognised that cardiac T1 mapping still has potential but requires further development before its widespread introduction in clinical trials. Finally, patients with end-stage renal disease or renal transplant should be excluded unless a particular group for them is created inside the clinical trial. CONCLUSION This consensus will help to shape the future of clinical trials in FD. We note that the FDA has, coincidentally, recently published draft guidelines on clinical trials in FD and welcome this contribution.
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Affiliation(s)
- D Moreno-Martinez
- Lysosomal Storage Disorders Unit, Royal Free Hospital NHS Foundation Trust and University College London, London, UK
| | - P Aguiar
- Inborn Errors of Metabolism Reference Centre, North Lisbon Hospital Centre, Lisbon, Portugal
| | - C Auray-Blais
- Division of Medical Genetics, Department of Pediatrics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Canada
| | - M Beck
- Institute of Human Genetics, University Medical Centre, University of Mainz, Mainz, Germany
| | - D G Bichet
- Unité de Recherche Clinique, Centre de Recherche et Service de Néphrologie, Hôpital du Sacré-Coeur de Montreal, Montreal, Quebec, Canada
| | - A Burlina
- Neurological Unit, St. Bassiano Hospital, Bassano del Grappa, Italy
| | - D Cole
- Department of Medical Biochemistry and Immunology, University Hospital of Wales, Cardiff, Wales, UK
| | - P Elliott
- Barts Cardiac Centre, University College London, London, UK
| | - U Feldt-Rasmussen
- Medical Endocrinology and Metabolism, Rigshospitalet, Copenhagen, Denmark
| | - S Feriozzi
- Division of Nephrology, Belcolle Hospital, Viterbo, Italy
| | - J Fletcher
- Genetics and Molecular Pathology, SA Pathology Women's and Children's Hospital, North Adelaide, Australia
| | - R Giugliani
- Medical Genetics Service, HCPA, Department of Genetics, UFRGS, Porto Alegre, Rio Grande do Sul, Brazil
| | - A Jovanovic
- Department of Endocrinology and Metabolic Medicine, Salford Royal NHS Foundation Trust, Salford, UK
| | - C Kampmann
- Centre for Paediatric and Adolescent Medicine, University Medical Centre, University of Mainz, Mainz, Germany
| | - M Langeveld
- Department of Endocrinology and Metabolism, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - O Lidove
- Department of Internal Medicine, Université Paris 7, Hôpital Bichat Claude-Bernard, Paris, France
| | - A Linhart
- Department of Cardiovascular Medicine, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - M Mauer
- Department of Paediatrics, University of Minnesota, Minneapolis, MN, United States
| | - J C Moon
- Cardiac Imaging Department, Barts Heart Centre, London, UK
| | - A Muir
- Belfast Heart Centre, Royal Victoria Hospital, Belfast, UK
| | - A Nowak
- Department of Endocrinology and Clinical Nutrition, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - J P Oliveira
- Service of Medical Genetics, São João University Hospital Centre, Alameda Hernãni Monteiro, Porto, Portugal
| | - A Ortiz
- Fundación Jiménez Díaz (IIS-FJD) Área de Patología Cardiovascular, Renal e Hipertensión, Madrid, Spain
| | - G Pintos-Morell
- Rare and Metabolic Diseases Unit, Vall Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - J Politei
- Fundation for the Study of Neurometabolic Diseases, FESEN, Argentina
| | - P Rozenfeld
- Departamento de Ciencias Biológicas, CONICET, Facultad de Ciencias Exactas, IIFP, Universidad Nacional de La Plata, La Plata, Argentina
| | - R Schiffmann
- Institute of Metabolic Disease, Baylor Research Institute, Dallas, TX, USA
| | - E Svarstad
- Department of Clinical Medicine, University of Bergen and Haukeland University Hospital, Bergen, Norway
| | - A S Talbot
- Department of Nephrology, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - M Thomas
- Department of Nephrology, Royal Perth Hospital, Perth, Western Australia, Australia
| | - C Tøndel
- Clinical Trials Unit, Haukeland University Hospital, Bergen, Norway
| | - D Warnock
- Division of Nephrology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - M L West
- Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - D A Hughes
- Lysosomal Storage Disorders Unit, Royal Free Hospital NHS Foundation Trust and University College London, London, UK.
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Joy G, Crane JD, Lau C, Augusto J, Brown LAE, Chowdhary A, Kotecha T, Plein S, Fontana M, Moon JC, Kellman P, Xue H, Cruickshank JK, Mcgowan BM, Manisty C. Impact of obesity on myocardial microvasculature assessed using fully-automated inline myocardial perfusion mapping CMR. Eur Heart J Cardiovasc Imaging 2021. [DOI: 10.1093/ehjci/jeaa356.296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Public Institution(s). Main funding source(s): Guy"s and St Thomas" Charity University College London Hospitals Biomedical Research Centre
Background
Obesity and cardiovascular disease are associated, but the relationship is poorly understood. Myocardial perfusion, metabolic derangement and lipotoxicity appear adversely associated in many scenarios (myocardial injury, diastolic dysfunction, diabetes). Altered perfusion (by PET) predicts outcome, and it is hypothesised that perfusion derangement is part of causality for cardiac disease and adverse outcomes.
Purpose
To assess the presence and pattern of myocardial microvascular dysfunction in patients with obesity (scheduled for bariatric surgery) using stress quantitative perfusion mapping.
Methods
38 subjects with obesity planned to undergo bariatric surgery and 38 age and sex matched healthy volunteers (no diabetes, no hypertension) underwent anthropometry, biochemistry and CMR at 1.5T (Siemens) with cine imaging, stress (adenosine 140-210 mcg/kg/min) and rest fully-automated quantitative perfusion mapping.
Results
Bariatric patients had a higher BMI (44 ± 6.4 vs 26.5 ± 4kg/m2 p = 0.001); 58%(22) were diabetic and 58%(22) had hypertension. Bariatric patients had higher absolute but lower indexed end-diastolic volumes, and overall higher ejection fractions (+5%) (see Table). Rest myocardial blood flow (MBF) in bariatric patients was the same (1.00 ± 0.3 vs 0.88 ± 0.24 p = 0.052), but stress perfusion results were significantly lower both for stress MBF (2.35 ± 0.69 vs 2.93 ± 0.76ml/g/min p = 0.001) and myocardial perfusion reserve (MPR 2.48 ± 0.82 vs 3.4 ± 0.81ml/g/min p = 0.0001). Although this was transmural, the endocardial stress MBF was particularly negatively affected in the bariatric cohort compared to controls (endocardial MBF 2.16 ± 0.65 vs 2.82 ± 0.73ml/g/min, p = 0.0001 vs epicardial MBF: 2.52 ± 0.76 vs 3.06 ± 0.79 p = 0.003), meaning there was an increased endo-epicardial stress MBF gradient in bariatric patients (0.87 ± 0.12 vs 0.92 ± 0.07 p = 0.03).
Conclusion
Compared to healthy controls, patients with obesity have abnormal myocardial stress perfusion with reduced global perfusion, perfusion reserve and an increased transmyocardial perfusion gradient.
Table - myocardial perfusion parameters Category Bariatric patients n = 38 Controls n = 38 p value Age (years) 48 ± 11 45 ± 13 0.25 n male (%) 12 (32%) 10 (36%) 0.32 LVEDV (ml) 168 ± 37 149 ± 31 0.017 LVEDVi (ml/m2) 70.4 ± 12.3 78.8 ± 12.1 0.004 LV Mass (g) 116 ± 31 99 ± 28 0.019 EF (%) 70 ± 8 65 ± 5 0.002 LVEDV - left ventricular end-diastolic volume, EF - ejection fraction
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Affiliation(s)
- G Joy
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - JD Crane
- King"s College London, Department of Diabetes and Nutritional Sciences, London, United Kingdom of Great Britain & Northern Ireland
| | - C Lau
- Queen Mary University of London, London, United Kingdom of Great Britain & Northern Ireland
| | - J Augusto
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - LAE Brown
- University of Leeds, Leeds Institute of Cardiovascular and Metabolic Medicine, Leeds, United Kingdom of Great Britain & Northern Ireland
| | - A Chowdhary
- University of Leeds, Leeds Institute of Cardiovascular and Metabolic Medicine, Leeds, United Kingdom of Great Britain & Northern Ireland
| | - T Kotecha
- Royal Free Hospital, London, United Kingdom of Great Britain & Northern Ireland
| | - S Plein
- University of Leeds, Leeds Institute of Cardiovascular and Metabolic Medicine, Leeds, United Kingdom of Great Britain & Northern Ireland
| | - M Fontana
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - JC Moon
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - P Kellman
- National Institutes of Health, National Heart, Lung, and Blood Institute, Bethesda, United States of America
| | - H Xue
- National Institutes of Health, National Heart, Lung, and Blood Institute, Bethesda, United States of America
| | - JK Cruickshank
- King"s College London, Department of Diabetes and Nutritional Sciences, London, United Kingdom of Great Britain & Northern Ireland
| | - BM Mcgowan
- King"s College London, Department of Diabetes and Nutritional Sciences, London, United Kingdom of Great Britain & Northern Ireland
| | - C Manisty
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
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Seraphim A, Knott K, Beirne AM, Augusto J, Menacho K, Joy G, Artico J, Bhuva A, Torii R, Triebel T, Xue H, Moon J, Jones D, Kellman P, Manisty C. Use of quantitative myocardial perfusion mapping by CMR for characterisation of ischaemia in patients post coronary artery bypass graft surgery. Eur Heart J Cardiovasc Imaging 2021. [DOI: 10.1093/ehjci/jeaa356.295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Foundation. Main funding source(s): British Heart Foundation
Background
Quantitative myocardial perfusion mapping using Cardiac Magnetic Resonance (CMR) imaging is used for evaluation of ischaemia in the context of native vessel coronary disease, but its diagnostic performance in patients with grafts is not well established. Perfusion defects are often detected in these patients, but whether these are a consequence of a technical limitation (delayed contrast arrival from graft conduits) or a true reflection of reduced myocardial blood flow is unclear.
Methods
39 patients undergoing stress perfusion CMR with previous coronary artery bypass graft (CABG) surgery, unobstructed left internal mammary artery (LIMA) grafts to the left anterior descending (LAD) artery on coronary angiography and no CMR evidence of prior LAD infarction were included. Myocardial blood flow (MBF) and myocardial perfusion reserve (MPR) were evaluated with quantitative perfusion mapping and the factors determining MBF in the LIMA-LAD territory (AHA segments 1,2,7,8,13,14), including the impact of delayed contrast arrival through the LIMA graft were evaluated.
Results
In 28 out of 39 cases a myocardial perfusion defect was reported on visual assessment in LIMA-LAD myocardial territory, despite the presence of unobstructed LIMA graft and no LAD infarction. Chronic total occlusion (CTO) of the native LAD was an independent predictor of stress MBF (B=-0.36, p =0.027) and the strongest predictor of MPR (B=-0.55, p 0.005) within the LIMA-LAD myocardial territory after adjusting for age, left ventricular (LV) ejection fraction, and presence of diabetes. CTO of the native LAD was associated with a reduction in stress MBF in the basal myocardial segments (-0.57ml/g/min, p = 0.002) but had no effect on the MBF of apical segments (-0.31ml/g/min, p = 0.084). Increasing the maximum value for allowable arterial delay (TA) of contrast in the quantitative mapping algorithm resulted in a small increase in myocardial blood flow in the LIMA-LAD territory both at stress (0.07 ± 0.08ml/g/min, p < 0.001) and rest (0.06 ± 0.05ml/g/min, p < 0.001).
Conclusions
Perfusion defects detected in LIMA-LAD subtended territories are common despite graft patency. These defects are likely to represent genuine reduction in MBF, resulting from native LAD coronary occlusion. Prolonged contrast transit time associated with LIMA grafts results in small underestimation of MBF as measured by quantitative CMR perfusion mapping, but does not account for the degree of MBF reduction seen in these patients.
Figure 1. Study patient with unobstructed LIMA to LAD graft and evidence of inducible perfusion defect in LIMA-LAD territories. (A): First pass perfusion CMR imaging. (B): Perfusion mapping showing reduced stress MBF in mid antero-septum (0.85ml/g/min) compared to the apical septum (1.65ml/g/min). (C): Late gadolinium enhancement showing no evidence of previous infarction. (D,E): Coronary angiography demonstrating unobstructed LIMA graft (D) and anastomosis site (E).
Abstract Figure 1.
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Affiliation(s)
- A Seraphim
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - K Knott
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - AM Beirne
- St Bartholomew"s Hospital, Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - J Augusto
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - K Menacho
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - G Joy
- St Bartholomew"s Hospital, Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - J Artico
- St Bartholomew"s Hospital, Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - A Bhuva
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - R Torii
- University College London, Department of Mechanical Engineering, London, United Kingdom of Great Britain & Northern Ireland
| | - T Triebel
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - H Xue
- National Institutes of Health, Bethesda, United States of America
| | - J Moon
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
| | - D Jones
- St Bartholomew"s Hospital, Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - P Kellman
- National Institutes of Health, Bethesda, United States of America
| | - C Manisty
- University College London, Institute of Cardiovascular Science, London, United Kingdom of Great Britain & Northern Ireland
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Knott K, Seraphim A, Augusto JB, Camaioni C, Kotecha T, Xue H, Joy G, Bhuva AN, Manisty C, Brown LAE, Wong J, Fontana M, Kellman P, Plein S, Moon JC. Influences on myocardial perfusion in non-obstructive coronary disease: an observational quantitative perfusion mapping study. Eur Heart J Cardiovasc Imaging 2021. [DOI: 10.1093/ehjci/jeaa356.297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): This study was supported by a Clinical Training Research Fellowship (K. Knott) from the British Heart Foundation and directly and indirectly from the Biomedical Research Centre at University College London Hospitals and Barts Heart Centre.
Background
Cardiovascular magnetic resonance (CMR) with automated inline perfusion mapping permits rapid fully automated non-invasive myocardial blood flow (MBF, ml/g/min). Understanding the microvascular component of MBF would help optimize epicardial coronary artery disease detection and potentially serve as an independent diagnostic / therapeutic target.
Purpose
To explore MBF influences at stress and rest in patients with unobstructed epicardial coronary arteries.
Methods
242 participants (mean age 56.9 years) from 5 European centers with unobstructed epicardial coronary arteries and no myocardial scar underwent adenosine vasodilator perfusion mapping at stress and rest. The factors influencing MBF were determined using univariate and multivariate linear regression analyses.
Results
Mean rest perfusion was 0.91+/-0.24ml/g/min. Rest perfusion was higher in females (0.97+/-0.22ml/g/min vs 0.83 +/- 0.24ml/g/min) and lower in patients on beta blockers. Mean stress MBF was 2.53+/-0.82ml/g/min. Factors independently associated with reduced stress MBF were increasing age, diabetes, increasing left ventricular mass (LVMi) and the use of beta blockers. The predicted stress MBF can be obtained from the equation MBF = 2.66–0.015(age-60)–0.013(LVMi-57)-0.405(diabetes)–0.365(beta blocker). This means stress MBF falls 10% over 19 years and that diabetes drops the MBF by the equivalent of being 27 years older. These changes are large: for example, a 70-year-old diabetic would have 30% lower stress MBF than a 35 year-old non-diabetic.
Conclusions
In the absence of obstructive epicardial coronary disease, stress MBF falls with age, diabetes, increased LV mass and beta-blockers. These data may help develop normal reference ranges, input to other modelling (eg CT FFR), and they advance perfusion mapping as a measure of microvascular function.
Abstract Figure. Summary of the determinants of perfusion
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Affiliation(s)
- K Knott
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - A Seraphim
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - JB Augusto
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - C Camaioni
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - T Kotecha
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - H Xue
- National Institutes of Health, Bethesda, United States of America
| | - G Joy
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - AN Bhuva
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - C Manisty
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - LAE Brown
- University of Leeds, Leeds, United Kingdom of Great Britain & Northern Ireland
| | - J Wong
- Harefield Hospital, London, United Kingdom of Great Britain & Northern Ireland
| | - M Fontana
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - P Kellman
- National Institutes of Health, Bethesda, United States of America
| | - S Plein
- University of Leeds, Leeds, United Kingdom of Great Britain & Northern Ireland
| | - JC Moon
- University College London, London, United Kingdom of Great Britain & Northern Ireland
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Patel K, Scully P, Nitsche C, Williams S, Tillin T, Captur G, Chako L, Newton J, Kennon S, Menezes L, Pugliese F, Fontana M, Treibel TA, Mascherbauer J, Moon JC. AS-amyloidosis. Dual pathology or novel disease? A multimodality, multi-centre assessment across health and disease. Eur Heart J Cardiovasc Imaging 2021. [DOI: 10.1093/ehjci/jeaa356.392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Foundation. Main funding source(s): British Heart Foundation
onbehalf
AS-Amyloidosis consortium
Background
The coexistence of severe aortic stenosis (lone AS) and transthyretin cardiac amyloidosis (lone amyloidosis) is common, but the resultant AS-amyloidosis phenotype is unclear.
Purpose
We characterised AS-amyloidosis, hypothesizing that the dual insult of AS-amyloidosis results is a severe phenotype.
Methods
We compared four cohorts with deep phenotyping: 81 older age controls, 359 lone AS, 36 AS-amyloidosis (Perugini grade 2 and 3) and 107 lone amyloidosis (Perugini grade 2 and 3).
Results
AS-amyloidosis was similar to lone AS with respect to left ventricular mass and LVEF (57 (45, 64)%). It was similar to lone amyloidosis with respect to lateral S" (0.04 (0.03, 0.06) m/s), NT-proBNP (4149 (1449, 6459) ng/L) and troponin T (56 (34, 100) ng/L). Whilst, prevalence of carpal tunnel syndrome (CTS) (17%) and diastolic function (E/A ratio 1.1 (0.8, 2.8)) were intermediate.
Conclusion
AS-amyloidosis is not a double insult from AS and amyloidosis, but a mixed phenotype with features similar to lone amyloidosis (cardiac biomarkers), lone AS (remodelling and LVEF) or intermediate (diastology and CTS).
Characteristics across all 4 groups Variable Older age controls (n = 81) Lone AS (n = 359) AS-amyloidosis (n = 36) Lone amyloidosis (n = 107) P value Age (years) 82 (80, 84)*†‡ 85 (80, 88)§∞ 88 (85, 92)# 80 (75, 84) <0.005 Sex (% male) 69 *‡ 49 ∞ 61 # 94 <0.005 Carpal tunnel syndrome (%) 0 2 § 17 # 38 <0.005 Voltage/mass ratio 0.22 (0.14, 0.27)‡ 0.18 (0.13, 0.28)∞ 0.18 (0.09, 0.21)# 0.07 (0.05, 0.10) <0.005 NT-ProBNP (ng/L) 131 (66, 221)*†‡ 1629 (639, 3941)§∞ 4149 (1449, 6459) 2888 (1755, 5483) <0.005 hsTnT (ng/L) 12 (8, 17)*†‡ 24 (15, 40)§∞ 56 (34, 100) 62 (41, 82) <0.005 Inferolateral wall thickness (cm) 0.9 (0.8, 1.0)*†‡ 1.1 (0.9, 1.3)∞ 1.3 (1.1, 1.5)# 1.7 (1.6, 1.9) <0.005 Anteroseptal wall thickness (cm) 1.0 (0.9, 1.2)*†‡ 1.4 (1.2, 1.6)§∞ 1.5 (1.3, 1.8) 1.7 (1.6, 1.9) <0.005 Indexed LV mass (g/m2) 79 (66, 102)*†‡ 128 (99, 152)∞ 126 (116, 140)# 174 (159, 200) <0.005 LVEF (%) 59 (54, 63)‡ 59 (50, 65)∞ 57 (45, 64)# 39 (31, 48) <0.005 Lateral S" (m/s) 0.08 (0.07, 0.09)*†‡ 0.07 (0.05, 0.08)§∞ 0.05 (0.04, 0.07) 0.05 (0.04, 0.06) <0.005 Septal S" (m/s) 0.06 (0.06, 0.08)*†‡ 0.05 (0.04, 0.06)∞ 0.04 (0.03, 0.06) 0.04 (0.03, 0.05) <0.005 E/A 0.7 (0.6, 0.8)*†‡ 0.8 (0.7, 1.3)§∞ 1.1 (0.8, 2.8)# 2.4 (1.8, 3.3) <0.005 RV Wall thickness (cm) 0.4 (0.3, 0.4)*†‡ 0.4 (0.4, 0.6)∞ 0.6 (0.4, 0.7)# 0.8 (0.7, 1.0) <0.005 TAPSE (cm) 2.4 (2.0, 2.7)*†‡ 2.1 (1.6, 2.5)∞ 1.9 (1.5, 2.1)# 1.4 (1.2, 1.9) <0.005 Classical LFLG AS (%) 9 13 0.472 * p < 0.05, Old age control vs Lone AS † p < 0.05, Old age control vs AS-amyloidosis ‡ p < 0.05, Old age control vs Lone amyloidosis § p < 0.05, Lone AS vs AS-amyloidosis ∞ p < 0.05, Lone AS vs Lone amyloidosis # p < 0.05, AS-amyloidosis vs Lone amyloidosis Abstract Figure. AS-amyloidosis compared to other cohorts
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Affiliation(s)
- K Patel
- St Bartholomew"s Hospital, London, United Kingdom of Great Britain & Northern Ireland
| | - P Scully
- St Bartholomew"s Hospital, London, United Kingdom of Great Britain & Northern Ireland
| | - C Nitsche
- Medical University of Vienna, Department of Cardiology, Vienna, Austria
| | - S Williams
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - T Tillin
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - G Captur
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - L Chako
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - J Newton
- John Radcliffe Hospital, Oxford, United Kingdom of Great Britain & Northern Ireland
| | - S Kennon
- St Bartholomew"s Hospital, London, United Kingdom of Great Britain & Northern Ireland
| | - L Menezes
- St Bartholomew"s Hospital, London, United Kingdom of Great Britain & Northern Ireland
| | - F Pugliese
- St Bartholomew"s Hospital, London, United Kingdom of Great Britain & Northern Ireland
| | - M Fontana
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - TA Treibel
- St Bartholomew"s Hospital, London, United Kingdom of Great Britain & Northern Ireland
| | - J Mascherbauer
- Medical University of Vienna, Department of Cardiology, Vienna, Austria
| | - JC Moon
- St Bartholomew"s Hospital, London, United Kingdom of Great Britain & Northern Ireland
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Torlasco C, D"silva A, Bhuva AN, Faini A, Augusto JB, Knott KD, Benedetti G, Scully P, Parati G, Lloyd G, Hughes A, Sharma S, Manisty C, Osculati G, Moon JC. Pulsatile and resistive systolic loads as determinants of left ventricular remodelling after physical training. Eur Heart J Cardiovasc Imaging 2021. [DOI: 10.1093/ehjci/jeaa356.422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): British Heart Foundation Barts Cardiovascular Biomedical Research Centre
onbehalf
The Marathon Study Consortium
Introduction
Cardiovascular function depends on the inter-relation between heart and vasculature. The contribution of aorta and peripheral vessels to the total systolic load of the left ventricle (LV) can be represented respectively by a "pulsatile" and a "resistive" component. We sought to understand their interrelation by exploring how LV remodelling occurred with altered load associated with an external stimulus (training). Methods: 237 untrained healthy male and female subjects volunteering for their first-time marathon were recruited. At baseline and after 6 months of unsupervised training, race completers underwent 1.5T cardiac magnetic resonance, brachial and non-invasive central blood pressure assessment. For analysis, runners were divided into 4 groups according to the variation (positive versus null or negative) in Total Arterial Compliance Index (TACi), representing the pulsatile component of the LV load, and in Systemic Vascular Resistance Index (SVRI), representing the resistive component of the LV load. Results: 138runners (age 21-69 years; F: 51%) completed the race. Data are reported for each variable as Δ mean [95% Confidence Interval]. In the whole cohort, training was associated with a small increase in LV mass index (+3g/m2, [0, 6 g/m2]), indexed LV end-diastolic volume (EDVi) (+3ml/m2, [-2, 5 3ml/m2]), in LV mass/LVEDV ratio (+0.02g/ml, [0.00, 0.04 g/ml]) and in TACi (+0.02ml/m2, [0.02, 0.38 ml/m2]). SVRi mildly fell (-43dyn·s/cm2[-103, 17dyn·s/cm2]). TACi increase was associated with LVEDVi increase and no change in LV mass/EDV (eccentric remodelling). On the other hand, both TACi reduction and SVRi increase were associated with increase in LV mass/EDV and no significant change in LVEDVi (concentric remodelling). A similar increase in LV mass was observed in all groups. See Table. Conclusion: Cardiac remodelling observed after mild, medium term, unsupervised training seems to be related to the modifications of aorta and peripheral vessels. In particular, a reduction in pulsatile load seems associated with eccentric LV remodelling, while an increase in both pulsatile and resistive with concentric LV remodelling. Further research is needed to understand the interaction between TACi and SVRi.
Table 1 LV EDVi (ml/m2) LV mass index (g/m2) LV mass/EDV TACi increase (n = 75) +4 [0, 9] +3 [0, 7] 0 [-0.03, 0.03] TACi decrease (n = 62) -1 [-6, 4] +3 [0, 8] 0.04 [0.01, 0.07] SVRi increase (n = 63) 0 [-4,4] +3 [0, 7] +0.03 [0, 0.06] SVRi decrease (n = 73) +3 [-3, 7] +3 [-1, 6] +0.01 [-0.02, 0.04]
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Affiliation(s)
- C Torlasco
- IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - A D"silva
- St George"s University of London, London, United Kingdom of Great Britain & Northern Ireland
| | - AN Bhuva
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - A Faini
- IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - JB Augusto
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - KD Knott
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - G Benedetti
- Guy"s & St Thomas" NHS Foundation Trust, guy"s and , London, United Kingdom of Great Britain & Northern Ireland
| | - P Scully
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - G Parati
- IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - G Lloyd
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - A Hughes
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - S Sharma
- St George"s University of London, London, United Kingdom of Great Britain & Northern Ireland
| | - C Manisty
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
| | - G Osculati
- IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - JC Moon
- Barts Heart Centre, London, United Kingdom of Great Britain & Northern Ireland
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