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Fong P, Lim K, Gnanam A, Charn T. Role of probiotics in chronic rhinosinusitis: a systematic review of randomised, controlled trials. J Laryngol Otol 2023; 137:1300-1311. [PMID: 36999550 DOI: 10.1017/s0022215123000543] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/01/2023]
Abstract
OBJECTIVE This review evaluated the safety profile and efficacy of probiotics in chronic rhinosinusitis and was registered with Prospero (Centre for Reviews and Dissemination number: 42020193529). METHOD Literature databases were searched through inception to August 2022. Randomised, controlled trials exploring adjunctive probiotics in adult chronic rhinosinusitis patients were included. From 948 records screened, 4 randomised, controlled trials were included. RESULTS Probiotics-associated adverse effects comprised epistaxis and abdominal pain. No reduction in Sino-Nasal Outcome Test values before 4 weeks (p = 0.58) or beyond 8 weeks (p = 0.08) of treatment or reduction of severe symptom frequency (p = 0.75) was observed. Symptom relapse in probiotic-treated patients was significantly lower across all timepoints (p = 0.045). Lower sinusitis relapse risks during treatment (risk ratio = 0.49; p = 0.019) and 8 months post-treatment (risk ratio = 0.56, p = 0.013) were observed. Probiotics demonstrated potential in improving Sino-Nasal Outcome Test symptom subscales, including sleep, psychological and rhinology subscales. CONCLUSION The optimal mode of probiotic administration, treatment duration and target patient subgroups requires further study to evaluate the utility of probiotics.
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Affiliation(s)
- P Fong
- Department of Otorhinolaryngology - Head and Neck Surgery, Sengkang General Hospital, SingHealth, Singapore, Singapore
| | - K Lim
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - A Gnanam
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - T Charn
- Department of Otorhinolaryngology - Head and Neck Surgery, Sengkang General Hospital, SingHealth, Singapore, Singapore
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Ng CF, Lim K, Yee CH, Chiu PKF, Teoh JYC, Lai FPT. Time for change? Feasibility of introducing micromodules into medical student education: a randomised controlled trial. Hong Kong Med J 2023; 29:208-213. [PMID: 37349137 DOI: 10.12809/hkmj219267] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/24/2023] Open
Abstract
INTRODUCTION Didactic lectures have been the foundation of learning for many medical students. However, in recent years, the flipped classroom model has become increasingly popular in medical education. This approach enhances pre-class learning, allowing the limited contact time between clinicians and medical students to be focused on practical issues. This study evaluated the effectiveness and non-inferiority of online micromodule teaching in terms of knowledge transfer concerning specific urology topics. METHODS Medical students without prior exposure to the urology subspecialty were enrolled in the study, then randomised to a traditional didactic lecture group or an online micromodule group. Knowledge transfer was assessed by pre-intervention and post-intervention multiple-choice questions and objective structured clinical examinations that involved the acquisition of medical histories from real patients. RESULTS In total, 45 medical students were enrolled (22 in the traditional didactic group and 23 in the online micromodule group). In terms of knowledge transfer (assessed by objective structured clinical examinations), the efficacy of online micromodules was comparable to traditional didactic lectures, although the difference was not statistically significant (P=0.823). There were no significant differences in terms of knowledge acquisition, retention, or clinical application between the two groups. CONCLUSION In terms of acquiring, retaining, and applying foundational urological knowledge, online micromodules can help medical students to achieve outcomes comparable with the outcomes of didactic lectures. Online micromodules may be a viable alternative to traditional didactic lectures in urology education.
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Affiliation(s)
- C F Ng
- Department of Surgery, SH Ho Urology Centre, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - K Lim
- Department of Surgery, SH Ho Urology Centre, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - C H Yee
- Department of Surgery, SH Ho Urology Centre, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - P K F Chiu
- Department of Surgery, SH Ho Urology Centre, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - J Y C Teoh
- Department of Surgery, SH Ho Urology Centre, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - F P T Lai
- Department of Surgery, SH Ho Urology Centre, The Chinese University of Hong Kong, Hong Kong SAR, China
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Motlaghian SM, Vahidi V, Belger A, Bustillo JR, Faghiri A, Ford JM, Iraji A, Lim K, Mathalon DH, Miller R, Mueller BA, O'Leary D, Potkin SG, Preda A, van Erp TG, Calhoun VD. A method for estimating and characterizing explicitly nonlinear dynamic functional network connectivity in resting-state fMRI data. J Neurosci Methods 2023; 389:109794. [PMID: 36652974 DOI: 10.1016/j.jneumeth.2023.109794] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Accepted: 01/13/2023] [Indexed: 01/16/2023]
Abstract
The past 10 years have seen an explosion of approaches that focus on the study of time-resolved change in functional connectivity (FC). FC characterization among networks at a whole-brain level is frequently termed functional network connectivity (FNC). Time-resolved or dynamic functional network connectivity (dFNC) focuses on the estimation of transient, recurring, whole-brain patterns of FNC. While most approaches in this area have attempted to capture dynamic linear correlation, we are particularly interested in whether explicitly nonlinear relationships, above and beyond linear, are present and contain unique information. This study thus proposes an approach to assess explicitly nonlinear dynamic functional network connectivity (EN dFNC) derived from the relationship among independent component analysis time courses. Linear relationships were removed at each time point to evaluate, typically ignored, explicitly nonlinear dFNC using normalized mutual information (NMI). Simulations showed the proposed method estimated explicitly nonlinearity over time, even within relatively short windows of data. We then, applied our approach on 151 schizophrenia patients, and 163 healthy controls fMRI data and found three unique, highly structured, mostly long-range, functional states that also showed significant group differences. In particular, explicitly nonlinear relationships tend to be more widespread than linear ones. Results also highlighted a state with long range connections to the visual domain, which were significantly reduced in schizophrenia. Overall, this work suggests that quantifying EN dFNC may provide a complementary and potentially valuable tool for studying brain function by exposing relevant variation that is typically ignored.
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Affiliation(s)
- S M Motlaghian
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (Trends), Georgia State, Georgia Tech, and Emory, Atlanta, GA, USA.
| | - V Vahidi
- Department of Computer and Information Science, Spelman College, GA, USA
| | - A Belger
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - J R Bustillo
- Department of Psychiatry, University of New Mexico Albuquerque, NM, USA
| | - A Faghiri
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (Trends), Georgia State, Georgia Tech, and Emory, Atlanta, GA, USA
| | - J M Ford
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA; San Francisco VA Medical Center, San Francisco, CA, USA
| | - A Iraji
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (Trends), Georgia State, Georgia Tech, and Emory, Atlanta, GA, USA
| | - K Lim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - D H Mathalon
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA; San Francisco VA Medical Center, San Francisco, CA, USA
| | - R Miller
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (Trends), Georgia State, Georgia Tech, and Emory, Atlanta, GA, USA
| | - B A Mueller
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - D O'Leary
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - S G Potkin
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - A Preda
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - T G van Erp
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - V D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (Trends), Georgia State, Georgia Tech, and Emory, Atlanta, GA, USA
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Bini J, Gallezot JD, Li S, Lim K, Emery P, Kapinos M, Ropchan J, Nabulsi N, Jastreboff A, Huang Y, Carson R. RF12 | PSUN106 Quantifying Liver and Brain Levels of 11β-hydroxysteroid Dehydrogenase Type 1 in Obesity Using Positron Emission Tomography Imaging. J Endocr Soc 2022. [PMCID: PMC9624872 DOI: 10.1210/jendso/bvac150.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Objectives Cortisol is known to promote adipocyte differentiation and maturation, and prolonged exposure to excess cortisol contributes to the development of obesity and metabolic dysregulation. The intracellular 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1) enzyme catalyzes the conversion of inactive cortisone to active cortisol. Recently, we demonstrated reduced brain 11β-HSD1 levels in vivo with increasing body mass index (BMI), using positron emission tomography (PET) radioligands [11C]- and [18F]AS2471907(1). PET imaging can simultaneously quantify uptake in multiple organs (e.g., liver/brain). [18F]AS2471907 has high uptake and specific binding in the brain and liver(2). Liver and brain 11β-HSD1 measured by PET imaging may help elucidate the roles of cortisol activation in the setting of metabolic dysregulation. Thus, we performed PET imaging studies to examine 11β-HSD1 levels in the liver and brain. Methods Nine individuals (5F/4M) with a range of BMIs (22.6-34.4 kg/m2) underwent a 90 min PET/CT acquisition with arterial plasma sampling after injection of [18F]AS2471907. Regions-of-interest (ROI) for the liver were manually drawn on a summed PET image (60-90 min). Seventeen brain ROIs were selected from the anatomical automatic labeling (AAL) template and applied to the dynamic PET images to generate time-activity-curves (TACs). Brain volume of distribution (VT, mL/cm3), the target tissue to plasma ratio of radioligand at equilibrium, was estimated for each ROI using the multilinear analysis-1 method with plasma input function. Mean whole-brain VT values were calculated by averaging all ROIs. Given the appearance of irreversible kinetics in the liver, Ki (min-1), the rate of irreversible tracer uptake, was calculated using the Patlak method. Results Qualitative brain and liver uptake was assessed by examining a summed PET image (SUV 60-90min). The parent fraction in plasma was 88±1% at 90 min, indicating negligible plasma radiolabeled-metabolites contributing the measured signal in the liver. Kinetic modeling estimates demonstrated decreasing whole brain VT with increasing BMI (R2=0.53), similar to our previously published study examining only brain in a larger cohort(1). Patlak methods provided good estimates of Ki. In an opposite manner from the brain, correlations seen in the liver using Ki were positively correlated with BMI (R2=0.57). Conclusions These preliminary studies suggest obesity is associated with increased 11β-HSD1 levels in the liver but decreased 11β-HSD1 levels in the brain. Clinically, liver specific 11β-HSD1 inhibitors may prove beneficial in treating metabolic sequalae of obesity such non-alcoholic fatty liver disease (NAFLD) by inhibiting activity of higher 11β-HSD1 levels. Further studies in NAFLD and obesity are necessary to determine appropriate populations that would benefit from 11β-HSD1 inhibitors and longitudinal in vivo PET imaging to help inform development of future therapeutics. References [1] Bini, et al, Molecular Imaging and Biology, 2020. [2] Bini, et al, IEEE Trans on Radiation and Plasma Medical Sciences, 2021 Presentation: Saturday, June 11, 2022 1:42 p.m. - 1:47 p.m., Sunday, June 12, 2022 12:30 p.m. - 2:30 p.m.
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James S, Chohan V, Lim K, Rees M. Sonographic assessment of the axilla in breast cancer: changing the threshold. Eur J Cancer 2022. [DOI: 10.1016/s0959-8049(22)01591-x] [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: 11/20/2022]
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Lo A, Chen L, Niu W, Lim K, Solomon J. 362 Recommendations from cross-sectional, Chinese-language survey of knowledge and prevention of skin cancer among chinese populations internationally. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.371] [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: 11/30/2022]
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Lim K, Kwon H, Cho J, Kim D, Kim S, Kang E. Utility of Liver Imaging Reporting and Data System v2018 Ancillary Features for the Diagnosis of Hepatocellular Carcinoma in LR-4 Lesions Using Contrast-enhanced Magnetic Resonance Imaging. Hong Kong Journal of Radiology 2022. [DOI: 10.12809/hkjr2217340] [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: 11/05/2022] Open
Affiliation(s)
- K Lim
- Department of Radiology, Dong-A University Hospital, Busan, Republic of Korea
| | - H Kwon
- Department of Radiology, Dong-A University Hospital, Busan, Republic of Korea
| | - J Cho
- Department of Radiology, Dong-A University Hospital, Busan, Republic of Korea
| | - D Kim
- Department of Radiology, Dong-A University Hospital, Busan, Republic of Korea
| | - S Kim
- Department of Radiology, Dong-A University Hospital, Busan, Republic of Korea
| | - E Kang
- Department of Radiology, Dong-A University Hospital, Busan, Republic of Korea
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Khaw P, Do V, Lim K, Cunninghame J, Dixon J, Vassie J, Bailey M, Johnson C, Kahl K, Gordon C, Cook O, Foo K, Fyles A, Powell M, Haie-Meder C, D'Amico R, Bessette P, Mileshkin L, Creutzberg CL, Moore A. Radiotherapy Quality Assurance in the PORTEC-3 (TROG 08.04) Trial. Clin Oncol (R Coll Radiol) 2021; 34:198-204. [PMID: 34903431 DOI: 10.1016/j.clon.2021.11.015] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 10/09/2021] [Accepted: 11/18/2021] [Indexed: 11/03/2022]
Abstract
AIMS Quality assurance in radiotherapy (QART) is essential to ensure the scientific integrity of a clinical trial. This paper reports the findings of the retrospective QART assessment for all centres that participated in PORTEC-3; a randomised controlled trial that compared pelvic radiotherapy with concurrent chemoradiotherapy to the pelvis followed by adjuvant chemotherapy. The trial showed an overall survival benefit for the addition of the chemotherapy in the management of women with high-risk endometrial cancer. MATERIALS AND METHODS Clinicians were invited to upload a randomly selected case/s treated at each of the participating sites. Panel reviewers analysed the contours to certify that the target volumes and organ at risk structures were contoured according to guidelines. The results were categorised into acceptable, minor variation, major variation or unevaluable. The radiotherapy plans were dosimetrically evaluated using the well-established Trans-Tasman Radiation Oncology Group (TROG) protocol. RESULTS Between August 2010 and January 2018, data from 146 patients of 686 consecutively treated patients were retrospectively reviewed. All 16 Australia and New Zealand and 71 of 77 international centres uploaded data for evaluation. In total, 3514 dosimetric and contour variables were reviewed. Of these, 3136 variables were deemed acceptable (89.2%), with 335 minor (9.6%) and 43 major variations (1.2%). Major contour variations included the clinical target volume vaginal vault, clinical target volume parametria and differential planning target volume vault expansion. CONCLUSION The results of the QART assessment confirmed high uniformity and low rates of both minor and major deviations in contouring and dosimetry in all sites. This supports the safe introduction of the PORTEC-3 treatment protocol into routine clinical practice.
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Affiliation(s)
- P Khaw
- Division of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia; University of Melbourne, Melbourne, Victoria, Australia.
| | - V Do
- Liverpool Cancer Therapy Centre, Liverpool, New South Wales, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - K Lim
- Liverpool Cancer Therapy Centre, Liverpool, New South Wales, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - J Cunninghame
- Division of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - J Dixon
- Illawarra Cancer Care Centre, Wollongong, New South Wales, Australia
| | - J Vassie
- Division of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - M Bailey
- Illawarra Cancer Care Centre, Wollongong, New South Wales, Australia
| | - C Johnson
- Blood & Cancer Centre, Wellington Hospital, Wellington, New Zealand
| | - K Kahl
- Shoalhaven Cancer Care Centre, Nowra, New South Wales, Australia
| | - C Gordon
- Illawarra Cancer Care Centre, Wollongong, New South Wales, Australia
| | - O Cook
- Trans-Tasman Radiation Oncology Group (TROG), Waratah, New South Wales, Australia
| | - K Foo
- Institute of Medical Physics, School of Physics, University of Sydney, Sydney, New South Wales, Australia
| | - A Fyles
- Canadian Cancer Trials Group, Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - M Powell
- Department of Clinical Oncology, Barts Health NHS Trust, London, UK
| | - C Haie-Meder
- Department of Radiotherapy, Institut Gustave Roussy, Villejuif, France
| | - R D'Amico
- Division of Radiation Oncology, ASST-Lecco, Ospedale A. Manzoni, Lecco, Italy
| | - P Bessette
- Gynaecologic Oncology, University of Sherbrooke, Sherbrooke, Quebec, Canada
| | - L Mileshkin
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - C L Creutzberg
- Department of Radiation Oncology, Leiden University Medical Centre, Leiden, the Netherlands
| | - A Moore
- Trans-Tasman Radiation Oncology Group (TROG), Waratah, New South Wales, Australia
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Durand C, Anderson H, Simpson D, Gull S, Oprean R, Lim K, Lee F, Kakos C, Cvasciuc T. 457 The Effect of Biochemical Adversity of Primary Hyperparathyroidism on Preoperative Imaging (SPECT-CT and US Parathyroids). Br J Surg 2021. [DOI: 10.1093/bjs/znab259.538] [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]
Abstract
Abstract
Aim
Primary hyperparathyroidism (PHPT) is a common endocrine disorder, with an estimated incidence of 1/500 women and 1/2000 men older than 40 years. Several factors influence the positivity of preoperative scans including serum calcium, PTH and vitamin D levels, and gland size. The aim of our study is to examine the effect of biochemical adversity of primary hyperparathyroidism on preoperative imaging (SPECT-CT and US parathyroids).
Method
Retrospective study of 176 parathyroidectomies (2017-2020) in a tertiary referral centre with biochemistry, SPECT-CT, US parathyroids and histology outcomes being recorded. Failed parathyroidectomies were excluded.
Results
Patients were divided into 4 groups based on the preoperative calcium levels (normocalcemia <2.6, 3.4%; mild 2.60-2.79, 51.1%; moderate 2.80-2.99, 31.2%; severe >3.0 mmol/l, 14.2% of patients). Age (p-0.0297), preoperative vitamin D (p-0.03) and PTH levels (p-0.0001) were different while SPECT-CT positivity (p-0.29) weight of gland (p-0.015) and US positivity (p-0.09) were similar within the subgroups. Looking at the whole group, patients with positive SPECT-CT have a larger weight (p < 0.0001) while preoperative PTH levels was higher for the positive SPECT-CT patients (p-0.0289). No relation was identified between calcium levels and SPECT-CT positivity (p-0.18). No significance between preoperative vitamin D and positivity of US and SPECT-CT within the study group were noted.
Conclusions
Serum PTH levels and weight of the gland are directly correlated with positivity of preoperative imaging. Preoperative calcium and vitamin D levels correlates indirectly with the severity of the disease but did not influence the preoperative imaging positivity.
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Affiliation(s)
- C Durand
- Royal Victoria Hospital, Belfast, United Kingdom
| | - H Anderson
- Royal Victoria Hospital, Belfast, United Kingdom
| | - D Simpson
- Royal Victoria Hospital, Belfast, United Kingdom
| | - S Gull
- Royal Victoria Hospital, Belfast, United Kingdom
| | - R Oprean
- Royal Victoria Hospital, Belfast, United Kingdom
| | - K Lim
- Royal Victoria Hospital, Belfast, United Kingdom
| | - F Lee
- Royal Victoria Hospital, Belfast, United Kingdom
| | - C Kakos
- Royal Victoria Hospital, Belfast, United Kingdom
| | - T Cvasciuc
- Royal Victoria Hospital, Belfast, United Kingdom
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Lim K, Neal-Smith G, Mitchell C, Xerri J, Chuanromanee P. Perceptions of the use of artificial intelligence in the diagnosis of skin cancer: an outpatient survey. Clin Exp Dermatol 2021; 47:542-546. [PMID: 34610153 DOI: 10.1111/ced.14969] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 05/04/2021] [Accepted: 10/04/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Convolutional neural networks (artificial intelligence, AI) are rapidly appearing within the field of dermatology, with diagnostic accuracy matching that of dermatologists. As technologies become available for use by both the health professionals and the general public, their uptake in healthcare will become more acceptable. National Health Service England recognizes the potential of AI for healthcare but emphasizes that patient-centred care should be at the forefront of these technological advancements. AIM To obtain opinions of patients on the use of AI in a dermatology setting, when aiding the diagnosis of skin cancers. METHODS A cross-sectional 14-point questionnaire was handed out to patients attending dermatology outpatient skin cancer clinics in two UK hospitals, between March and August 2018. RESULTS In total, 603 patient questionnaires were completed. Nearly half (47%; n = 282) of respondents were not concerned if AI technology was used by a skin specialist to aid skin cancer diagnosis. However, the majority (81%; n = 491) of respondents, considered it important for a dermatologist to examine and confirm a diagnosis and to be present for discussion of a cancer diagnosis. CONCLUSION Although the majority of respondents were not reluctant about the use of AI for skin cancer diagnosis, respondents still considered it important that dermatologists are involved in the diagnosis and/or confirmation of skin cancer. Furthermore, the study results demonstrate that personal interaction with a clinician is important. This is in keeping with proposals that AI be used as an adjunctive technology to increase accuracy of skin cancer diagnoses, but not as a substitute for a dermatologist.
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Affiliation(s)
- K Lim
- Department of Dermatology, Oxford University NHS Hospitals Trust, Oxford, UK
| | - G Neal-Smith
- Department of Dermatology, Oxford University NHS Hospitals Trust, Oxford, UK
| | - C Mitchell
- Department of Dermatology, St Mary's Hospital, Portsmouth NHS Hospital Trust, Portsmouth, UK
| | - J Xerri
- Department of Statistics, University of Oxford, Oxford, UK
| | - P Chuanromanee
- Department of Statistics, University of Oxford, Oxford, UK
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Mecca AP, Rogers K, Jacobs Z, McDonald JW, Michalak HR, DellaGioia N, Zhao W, Hillmer AT, Nabulsi N, Lim K, Ropchan J, Huang Y, Matuskey D, Esterlis I, Carson RE, van Dyck CH. Effect of age on brain metabotropic glutamate receptor subtype 5 measured with [ 18F]FPEB PET. Neuroimage 2021; 238:118217. [PMID: 34052464 PMCID: PMC8378132 DOI: 10.1016/j.neuroimage.2021.118217] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [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: 12/31/2020] [Revised: 04/08/2021] [Accepted: 05/26/2021] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVE Metabotropic glutamate receptor subtype 5 (mGluR5) is integral to the brain glutamatergic system and cognitive function. This study investigated whether aging is associated with decreased brain mGluR5 availability. METHODS Cognitively normal participants (n = 45), aged 18 to 84 years, underwent [18F]FPEB positron emission tomography scans to quantify brain mGluR5. Distribution volume (VT) was computed using a venous or arterial input function and equilibrium modeling from 90 to 120 min. In the primary analysis, the association between age and VT in the hippocampus and association cortex was evaluated using a linear mixed model. Exploratory analyses assessed the association between age and VT in multiple brain regions. The contribution of gray matter tissue alterations and partial volume effects to associations with age was also examined. RESULTS In the primary analysis, older age was associated with lower [18F]FPEB binding to mGluR5 (P = 0.026), whereas this association was not significant after gray matter masking or partial volume correction to account for age-related tissue loss. Post hoc analyses revealed an age-related decline in mGluR5 availability in the hippocampus of 4.5% per decade (P = 0.007) and a non-significant trend in the association cortex (P = 0.085). An exploratory analysis of multiple brain regions revealed broader inverse associations of age with mGluR5 availability, but not after partial volume correction. CONCLUSION Reductions in mGluR5 availability with age appear to be largely mediated by tissue loss. Quantification of [18F]FPEB binding to mGluR5 may expand our understanding of age-related molecular changes and the relationship with brain tissue loss.
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Affiliation(s)
- Adam P Mecca
- Alzheimer's Disease Research Unit, Yale University School of Medicine, One Church Street, 8th Floor, New Haven, CT, 06514, USA; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
| | - Kelly Rogers
- Alzheimer's Disease Research Unit, Yale University School of Medicine, One Church Street, 8th Floor, New Haven, CT, 06514, USA; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Zachary Jacobs
- Alzheimer's Disease Research Unit, Yale University School of Medicine, One Church Street, 8th Floor, New Haven, CT, 06514, USA; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Julia W McDonald
- Alzheimer's Disease Research Unit, Yale University School of Medicine, One Church Street, 8th Floor, New Haven, CT, 06514, USA; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Hannah R Michalak
- Alzheimer's Disease Research Unit, Yale University School of Medicine, One Church Street, 8th Floor, New Haven, CT, 06514, USA; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Nicole DellaGioia
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Wenzhen Zhao
- Alzheimer's Disease Research Unit, Yale University School of Medicine, One Church Street, 8th Floor, New Haven, CT, 06514, USA; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Ansel T Hillmer
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
| | - Nabeel Nabulsi
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
| | - Keunpoong Lim
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
| | - Jim Ropchan
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
| | - Yiyun Huang
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
| | - David Matuskey
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA; Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
| | - Irina Esterlis
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Richard E Carson
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
| | - Christopher H van Dyck
- Alzheimer's Disease Research Unit, Yale University School of Medicine, One Church Street, 8th Floor, New Haven, CT, 06514, USA; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA; Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
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Ermongkonchai T, Khor R, Muralidharan V, Tebbutt N, Lim K, Kutaiba N, Ng S. PO-1207 Stereotactic radiotherapy and MR-guided adaptive techniques for locally advanced pancreatic cancer. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)07658-1] [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: 11/26/2022]
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Chan J, Ng C, Yu P, Lim K, Siu I, Yuan E, Liu S, Choi J, Chu C, Lau R. MA02.04 Initial Experience of Hybrid Operating Room Cone-Beam CT Guided Bronchoscopic Microwave Thermal Ablation of Peripheral Small Lung Lesions. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.208] [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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Salardini A, Hillmer AT, Mecca AP, Hashemi‐Aghdam A, Laltoo E, Savoia S, O'Dell RS, Harris JE, Godek TA, Nabulsi NB, Lim K, Ropchan JR, Huang Y, Cosgrove K, Carson RE, Strittmatter SM, van Dyck CH. PBR28 Brain PET imaging with lipopolysaccharide challenge for the study of microglia function in Alzheimer’s disease. Alzheimers Dement 2020. [DOI: 10.1002/alz.037792] [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: 11/12/2022]
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Naureen G, Sanders KM, Busija L, Scott D, Lim K, Talevski J, Connaughton C, Brennan-Olsen SL. Prediction models and questionnaires developed to predict vitamin D status in adults: a systematic review. Osteoporos Int 2020; 31:2287-2302. [PMID: 32662035 DOI: 10.1007/s00198-020-05539-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [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: 03/31/2020] [Accepted: 07/07/2020] [Indexed: 12/18/2022]
Abstract
A systematic review of prediction models/questionnaires developed to identify people with deficient/insufficient vitamin D status shows the potential of self-reported information to estimate vitamin D status. The objective is to identify and compare existing screening tools, developed to identify vitamin D deficiency or insufficiency in adults. A systematic search of literature was conducted using MEDLINE, Scopus, Web of Science and CINAHL databases. Risk of bias and applicability concerns were assessed by quality assessment of diagnostic accuracy studies (QUADAS-2). Data were extracted on socio-demographic, anthropometric, risk factors, serum 25 hydroxyvitamin D [25(OH)D] levels, statistical methods and predictive ability. A total of 12 studies were considered for inclusion for this systematic review after screening of 4851 abstracts and 15 full-text articles. Ten of twelve studies developed prediction models and 2 studies developed questionnaires. The majority of studies had low risk of bias and applicability as assessed by QUADAS-2. All studies included only self-reported predictors of vitamin D status in their final models and development of scores. Sunlight exposure and related factors were important significant contributors to the predictive ability of the models and/or questionnaires. Sensitivity and specificity of the prediction models or questionnaires ranged from 55 to 91% and 35 to 84%, respectively. Six out of twelve studies converted final models to scores associated with vitamin D status. There was no evidence that any of these existing tools have been translated into clinical practice. The prediction models or questionnaires identified in this systematic review were moderately sensitive and specific for identifying people with vitamin D deficiency or insufficiency. The substantial contribution of sunlight exposure to the prediction of vitamin D status highlights the importance of including this information when developing vitamin D screening tools.
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Affiliation(s)
- G Naureen
- Level 3, Department of Medicine-Western Health, The University of Melbourne, 176 Furlong Road, St Albans, VIC, 3021, Australia.
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St Albans, VIC, Australia.
| | - K M Sanders
- Level 3, Department of Medicine-Western Health, The University of Melbourne, 176 Furlong Road, St Albans, VIC, 3021, Australia
| | - L Busija
- School of Public Health and Preventive Medicine, Monash University, St Kilda, VIC, Australia
| | - D Scott
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St Albans, VIC, Australia
- School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood, VIC, Australia
| | - K Lim
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - J Talevski
- Level 3, Department of Medicine-Western Health, The University of Melbourne, 176 Furlong Road, St Albans, VIC, 3021, Australia
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St Albans, VIC, Australia
| | - C Connaughton
- Level 3, Department of Medicine-Western Health, The University of Melbourne, 176 Furlong Road, St Albans, VIC, 3021, Australia
- Academic Centre for Health, Royal Women's Hospital, The University of Melbourne, Parkville, VIC, Australia
| | - S L Brennan-Olsen
- Level 3, Department of Medicine-Western Health, The University of Melbourne, 176 Furlong Road, St Albans, VIC, 3021, Australia
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St Albans, VIC, Australia
- School of Health and Social Development, Deakin University, Melbourne, VIC, Australia
- Institute for Health Transformation, Deakin University, Melbourne, VIC, Australia
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Salardini A, Hillmer AT, Mecca AP, Hashemi‐Aghdam A, Laltoo E, Savoia S, O'Dell RS, Harris JE, Godek TA, Nabulsi NB, Lim K, Ropchan JR, Huang Y, Cosgrove K, Carson RE, Strittmatter SM, van Dyck CH. 11C‐PBR28 brain PET imaging with lipopolysaccharide challenge for the study of microglia function in Alzheimer’s disease. Alzheimers Dement 2020. [DOI: 10.1002/alz.043584] [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: 11/06/2022]
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Tran TT, Gallezot JD, Jilaveanu LB, Zito C, Turcu G, Lim K, Nabulsi N, Huang H, Huttner A, Kluger HM, Chiang VL, Carson R. [ 11C]Methionine and [ 11C]PBR28 as PET Imaging Tracers to Differentiate Metastatic Tumor Recurrence or Radiation Necrosis. Mol Imaging 2020; 19:1536012120968669. [PMID: 33147119 PMCID: PMC7649862 DOI: 10.1177/1536012120968669] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Purpose: As stereotactic radiosurgery (SRS) and immunotherapy are increasingly used to treat brain metastases, incidence of radiation necrosis (RN) is consequently rising. Differentiating tumor regrowth (TR) from RN is vital in management but difficult to assess using MRI. We hypothesized that tumor methionine levels would be elevated given increased metabolism and high amino acid uptake, whereas RN would increase inflammation marked by upregulated translocator protein (PBR-TSPO), which can be quantified with specific PET tracers. Procedures: We performed a feasibility study to prospectively evaluate [11C]methionine and [11C]PBR28 using PET in 5 patients with 7 previously SRS-treated brain metastases demonstrating regrowth to differentiate TR from RN. Results: Sequential imaging with dual tracers was well-tolerated. [11C]methionine was accurate for detecting pathologically confirmed TR in 7/7 lesions, whereas [11C]PBR28 was only accurate in 3/7 lesions. Tumor PBR-TSPO expression was elevated in both melanoma and lung cancer cells, contributing to lack of specificity of [11C]PBR28-PET. Conclusion: Sequential use of PET tracers is safe and effective. [11C]Methionine was a reliable TR marker, but [11C]PBR28 was not a reliable marker of RN. Studies are needed to determine the causes of post-radiation inflammation and identify specific markers of RN to improve diagnostic imaging.
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Affiliation(s)
- Thuy T Tran
- Yale School of Medicine and Yale Cancer Center, 12228Yale University, New Haven, CT, USA
| | - Jean-Dominique Gallezot
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 12228Yale University, New Haven, CT, USA
| | - Lucia B Jilaveanu
- Yale School of Medicine and Yale Cancer Center, 12228Yale University, New Haven, CT, USA
| | - Christopher Zito
- Department of Biology, School of Health and Natural Sciences, 8515University of Saint Joseph, West Hartford, CT, USA
| | - Gabriela Turcu
- Yale School of Medicine and Yale Cancer Center, 12228Yale University, New Haven, CT, USA
| | - Keunpoong Lim
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 12228Yale University, New Haven, CT, USA
| | - Nabeel Nabulsi
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 12228Yale University, New Haven, CT, USA
| | - Henry Huang
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 12228Yale University, New Haven, CT, USA
| | - Anita Huttner
- Department of Pathology, Yale School of Medicine, 12228Yale University, New Haven, CT, USA
| | - Harriet M Kluger
- Yale School of Medicine and Yale Cancer Center, 12228Yale University, New Haven, CT, USA
| | - Veronica L Chiang
- Yale School of Medicine and Yale Cancer Center, 12228Yale University, New Haven, CT, USA.,Department of Neurosurgery, Yale School of Medicine, 12228Yale University, New Haven, CT, USA
| | - Richard Carson
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 12228Yale University, New Haven, CT, USA
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Maruyama R, Lim K, Nguyen Q, Tsoumpra M, Takeda S, Aoki Y, Yokota T. DMD – ANIMAL MODELS & PRECLINICAL TREATMENT. Neuromuscul Disord 2020. [DOI: 10.1016/j.nmd.2020.08.215] [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: 10/23/2022]
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Park H, Sanjeevaiah A, Suresh R, Mehta R, Trikalinos N, Bagegni N, Aranha O, Pedersen K, Nixon A, Jin R, Mills J, Fields R, Amin M, Lim K, Tan B, Grierson P, Jiang S, Rosario MD, Wang-Gillam A, Lockhart A. P-131 Ramucirumab and irinotecan in patients with previously treated gastroesophageal adenocarcinoma: Interim analysis of a phase II trial. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.04.213] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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20
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Rischin A, Kathpal E, Vogrin S, Bentley L, Master V, Steward A, Le Marshall K, Lim K. AB1126 THE RELIABILITY AND DIAGNOSTIC ACCURACY OF DIGITAL TOMOSYNTHESIS COMPARED WITH CONVENTIONAL RADIOGRAPHY FOR THE INVESTIGATION OF SACROILIITIS. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.3521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Conventional radiography remains part of the diagnosis of axial spondyloarthritis and determines qualification for biologic disease modifying anti-rheumatic drugs in many countries. The standard anteroposterior radiograph (XR) incompletely images the complex sacroiliac joint with recognised unacceptably low levels of agreement between readers. Digital tomosynthesis (DTS) uses conventional radiographic projections to create a three-dimensional image and is a potential alternative for the initial radiographic detection and grading of sacroiliitis.Objectives:To compare the level of agreement between two radiologists when reporting sacroiliac joint imaging with digital tomosynthesis versus conventional radiography, as well as to compare the diagnostic accuracy of each imaging modality.Methods:229 consecutive patients that had radiography and digital tomosynthesis performed at Footscray Hospital, Melbourne, Australia were included. Two blinded radiologists independently re-reported all images according to the modified New York criteria, or listed an alternative diagnosis. An overall assessment of each image as inflammatory sacroiliitis, normal or non-inflammatory disease was also recorded. Demographic and clinical data were extracted from medical records. Agreement between and within readers was evaluated using kappa (κ) statistic. Diagnostic accuracy was calculated by comparing each reader’s overall assessment against 2 reference standard comparators: most recent rheumatologist diagnosis and fulfillment of ASAS criteria at any time point.Results:The intra-reader agreement of reader 1 was almost perfect for the left, right and overall sacroiliac joint assessments (κ 0.77 - 0.94), with DTS outperforming XR. Reader 2 agreement was mostly moderate (κ 0.39 - 0.69), with DTS and XR better on the left and right sacroiliac joint respectively, but XR having better overall assessment. The inter-reader agreement of DTS for all patients was moderate and better than XR as shown in the Table. When excluding non-spondyloarthritis patients, inter-reader agreement improved (κ 0.50 to 0.58) but there was no significant difference between DTS and XR. Using reader 1, the sensitivity of DTS (64.8 - 66.7%) was better than XR (54.9 - 60.7%) but low, in keeping with what is known about radiographic sacroiliitis and axial spondyloarthritis. The specificity of XR (78.5 – 80.3%) was better than DTS (72.3 – 73.1%). There were no significant differences when fulfillment of modified New York Criteria was used as a reader’s positive test.Table.Inter-rater reliability between the readersAll patients(N=229)*Inflammatory sacroiliitis & normal patients (N=164)**Inflammatory sacroiliitis patients (N=92)**XR Right0.360.520.56DTS Right0.390.500.51XR Left0.340.550.56DTS Left0.420.550.58XR Overall0.40DTS Overall0.45*Non-weighted kappa statistic**Weighted kappa statisticConclusion:DTS demonstrated moderate reliability for assessment of sacroiliitis, marginally better than conventional radiography. Overall levels of agreement for both imaging modalities were however lower than radiography in previous studies, with several possible contributing factors. A prospective study in a selected spondyloarthritis cohort may better determine any benefit of DTS.References:[1]Christiansen AA, Hendricks O, Kuettel D, Horslev-Petersen K, Jurik AG, Nielsen S, et al. Limited Reliability of Radiographic Assessment of Sacroiliac Joints in Patients with Suspected Early Spondyloarthritis. The Journal of rheumatology. 2017;44(1):70-7.[2]van Tubergen A, Heuft-Dorenbosch L, Schulpen G, Landewe R, Wijers R, van der Heijde D, et al. Radiographic assessment of sacroiliitis by radiologists and rheumatologists: does training improve quality? Annals of the rheumatic diseases. 2003;62(6):519-25.Disclosure of Interests:None declared
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Mecca AP, McDonald JW, Michalak HR, Godek TA, Harris JE, Pugh EA, Kemp EC, Chen MK, Salardini A, Nabulsi NB, Lim K, Huang Y, Carson RE, Strittmatter SM, van Dyck CH. PET imaging of mGluR5 in Alzheimer's disease. Alzheimers Res Ther 2020; 12:15. [PMID: 31954399 PMCID: PMC6969979 DOI: 10.1186/s13195-020-0582-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2019] [Accepted: 01/05/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND Metabotropic glutamate subtype 5 receptors (mGluR5) modulate synaptic transmission and may constitute an important therapeutic target in Alzheimer's disease (AD) by mediating the synaptotoxic action of amyloid-β oligomers. We utilized the positron emission tomography (PET) radioligand [18F]FPEB to investigate mGluR5 binding in early AD. METHODS Sixteen individuals with amnestic mild cognitive impairment (MCI) due to AD or mild AD dementia who were positive for brain amyloid were compared to 15 cognitively normal (CN) participants who were negative for brain amyloid. Diagnostic groups were well balanced for age, sex, and education. Dynamic PET scans were acquired for 60 min, starting at 60 min after the initial administration of up to 185 MBq of [18F]FPEB using a bolus-plus-constant-infusion method (Kbol = 190 min). Equilibrium modeling with a cerebellum reference region was used to estimate [18F]FPEB binding (BPND) to mGluR5. Analyses were performed with and without corrections for gray matter atrophy and partial volume effects. RESULTS Linear mixed model analysis demonstrated a significant effect of group (p = 0.011) and the group × region interaction (p = 0.0049) on BPND. Post hoc comparisons revealed a significant reduction (43%) in mGluR5 binding in the hippocampus of AD (BPND = 0.76 ± 0.41) compared to CN (BPND = 1.34 ± 0.58, p = 0.003, unpaired t test) participants, and a nonsignificant trend for a reduction in a composite association cortical region in AD (BPND = 1.57 ± 0.25) compared to CN (BPND = 1.86 ± 0.63, p = 0.093) participants. Exploratory analyses suggested additional mGluR5 reductions in the entorhinal cortex and parahippocampal gyrus in the AD group. In the overall sample, hippocampal mGluR5 binding was associated with episodic memory scores and global function. CONCLUSIONS [18F]FPEB-PET revealed reductions in hippocampal mGluR5 binding in early AD. Quantification of mGluR5 binding in AD may expand our understanding of AD pathogenesis and accelerate the development of novel biomarkers and treatments.
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Affiliation(s)
- Adam P. Mecca
- Alzheimer’s Disease Research Unit, Yale University School of Medicine, One Church Street, 8th Floor, New Haven, CT 06510 USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT USA
| | - Julia W. McDonald
- Alzheimer’s Disease Research Unit, Yale University School of Medicine, One Church Street, 8th Floor, New Haven, CT 06510 USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT USA
| | - Hannah R. Michalak
- Alzheimer’s Disease Research Unit, Yale University School of Medicine, One Church Street, 8th Floor, New Haven, CT 06510 USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT USA
| | - Tyler A. Godek
- Alzheimer’s Disease Research Unit, Yale University School of Medicine, One Church Street, 8th Floor, New Haven, CT 06510 USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT USA
| | - Joanna E. Harris
- Alzheimer’s Disease Research Unit, Yale University School of Medicine, One Church Street, 8th Floor, New Haven, CT 06510 USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT USA
| | - Erika A. Pugh
- Alzheimer’s Disease Research Unit, Yale University School of Medicine, One Church Street, 8th Floor, New Haven, CT 06510 USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT USA
| | - Emily C. Kemp
- Alzheimer’s Disease Research Unit, Yale University School of Medicine, One Church Street, 8th Floor, New Haven, CT 06510 USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT USA
| | - Ming-Kai Chen
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT USA
| | - Arash Salardini
- Department of Neurology, Yale University School of Medicine, New Haven, CT USA
| | - Nabeel B. Nabulsi
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT USA
| | - Keunpoong Lim
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT USA
| | - Yiyun Huang
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT USA
| | - Richard E. Carson
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT USA
| | - Stephen M. Strittmatter
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT USA
- Department of Neurology, Yale University School of Medicine, New Haven, CT USA
- CNNR Program, Yale University School of Medicine, 295 Congress Avenue, Ste 431-435, New Haven, CT USA
| | - Christopher H. van Dyck
- Alzheimer’s Disease Research Unit, Yale University School of Medicine, One Church Street, 8th Floor, New Haven, CT 06510 USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT USA
- Department of Neurology, Yale University School of Medicine, New Haven, CT USA
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Ma K, Lim K, Majumder K, Edi-Osagie E. Laparoscopic Uterine Cerclage: A 10 Year Experience at a Tertiary Referral Centre. J Minim Invasive Gynecol 2019. [DOI: 10.1016/j.jmig.2019.09.691] [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: 11/15/2022]
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Ma K, Lim K, Edi-Osagie E, Majumder K. 1348 Caesarean Scar Ectopic Pregnancies: Tale of two Approaches. J Minim Invasive Gynecol 2019. [DOI: 10.1016/j.jmig.2019.09.129] [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: 10/25/2022]
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Bini J, Sanchez-Rangel E, Gallezot JD, Naganawa M, Nabulsi N, Lim K, Najafzadeh S, Shirali A, Ropchan J, Matuskey D, Huang Y, Herold KC, Harris PE, Sherwin RS, Carson RE, Cline GW. PET Imaging of Pancreatic Dopamine D 2 and D 3 Receptor Density with 11C-(+)-PHNO in Type 1 Diabetes. J Nucl Med 2019; 61:570-576. [PMID: 31601695 DOI: 10.2967/jnumed.119.234013] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Type 1 diabetes mellitus (T1DM) has traditionally been characterized by a complete destruction of β-cell mass (BCM); however, there is growing evidence of possible residual BCM present in T1DM. Given the absence of in vivo tools to measure BCM, routine clinical measures of β-cell function (e.g., C-peptide release) may not reflect BCM. We previously demonstrated the potential utility of PET imaging with the dopamine D2 and D3 receptor agonist 3,4,4a,5,6,10b-hexahydro-2H-naphtho[1,2-b][1,4]oxazin-9-ol (11C-(+)-PHNO) to differentiate between healthy control (HC) and T1DM individuals. Methods: Sixteen individuals participated (10 men, 6 women; 9 HCs, 7 T1DMs). The average duration of diabetes was 18 ± 6 y (range, 14-30 y). Individuals underwent PET/CT scanning with a 120-min dynamic PET scan centered on the pancreas. One- and 2-tissue-compartment models were used to estimate pancreas and spleen distribution volume. Reference region approaches (spleen as reference) were also investigated. Quantitative PET measures were correlated with clinical outcome measures. Immunohistochemistry was performed to examine colocalization of dopamine receptors with endocrine hormones in HC and T1DM pancreatic tissue. Results: C-peptide release was not detectable in any T1DM individuals, whereas proinsulin was detectable in 3 of 5 T1DM individuals. Pancreas SUV ratio minus 1 (SUVR-1) (20-30 min; spleen as reference region) demonstrated a statistically significant reduction (-36.2%) in radioligand binding (HCs, 5.6; T1DMs, 3.6; P = 0.03). Age at diagnosis correlated significantly with pancreas SUVR-1 (20-30 min) (R 2 = 0.67, P = 0.025). Duration of diabetes did not significantly correlate with pancreas SUVR-1 (20-30 min) (R 2 = 0.36, P = 0.16). Mean acute C-peptide response to arginine at maximal glycemic potentiation did not significantly correlate with SUVR-1 (20-30 min) (R 2 = 0.57, P = 0.05), nor did mean baseline proinsulin (R 2 = 0.45, P = 0.10). Immunohistochemistry demonstrated colocalization of dopamine D3 receptor and dopamine D2 receptor in HCs. No colocalization of the dopamine D3 receptor or dopamine D2 receptor was seen with somatostatin, glucagon, or polypeptide Y. In a separate T1DM individual, no immunostaining was seen with dopamine D3 receptor, dopamine D2 receptor, or insulin antibodies, suggesting that loss of endocrine dopamine D3 receptor and dopamine D2 receptor expression accompanies loss of β-cell functional insulin secretory capacity. Conclusion: Thirty-minute scan durations and SUVR-1 provide quantitative outcome measures for 11C-(+)-PHNO, a dopamine D3 receptor-preferring agonist PET radioligand, to differentiate BCM in T1DM and HCs.
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Affiliation(s)
- Jason Bini
- PET Center, Yale University School of Medicine, New Haven, Connecticut
| | - Elizabeth Sanchez-Rangel
- Department of Internal Medicine, Division of Endocrinology, Yale University School of Medicine, New Haven, Connecticut; and
| | | | - Mika Naganawa
- PET Center, Yale University School of Medicine, New Haven, Connecticut
| | - Nabeel Nabulsi
- PET Center, Yale University School of Medicine, New Haven, Connecticut
| | - Keunpoong Lim
- PET Center, Yale University School of Medicine, New Haven, Connecticut
| | | | - Anupama Shirali
- PET Center, Yale University School of Medicine, New Haven, Connecticut
| | - Jim Ropchan
- PET Center, Yale University School of Medicine, New Haven, Connecticut
| | - David Matuskey
- PET Center, Yale University School of Medicine, New Haven, Connecticut
| | - Yiyun Huang
- PET Center, Yale University School of Medicine, New Haven, Connecticut
| | - Kevan C Herold
- Department of Internal Medicine, Division of Endocrinology, Yale University School of Medicine, New Haven, Connecticut; and
| | - Paul E Harris
- Department of Medicine, Division of Endocrinology, Columbia University, New York, New York
| | - Robert S Sherwin
- Department of Internal Medicine, Division of Endocrinology, Yale University School of Medicine, New Haven, Connecticut; and
| | - Richard E Carson
- PET Center, Yale University School of Medicine, New Haven, Connecticut
| | - Gary W Cline
- Department of Internal Medicine, Division of Endocrinology, Yale University School of Medicine, New Haven, Connecticut; and
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Wan D, Halim A, Ho L, Lu T, Lim K. MYOCARDIAL CYTOSKELETAL DYSFUNCTION IN KIDNEY FAILURE: THE CAIN STUDY. Can J Cardiol 2019. [DOI: 10.1016/j.cjca.2019.07.173] [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: 12/01/2022] Open
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Mecca AP, Chen MK, Godek TA, Harris JE, Bartlett HH, Toyonaga T, Naganawa M, Salardini A, Arnsten AF, Nabulsi NB, Lim K, Najafzadeh S, Ropchan JR, Huang Y, Carson RE, Strittmatter SM, van Dyck CH. IC-P-140: ASSOCIATION BETWEEN MGLUR5 AND SYNAPTIC DENSITY: A MULTI-TRACER STUDY IN HEALTHY AGING AND ALZHEIMER'S DISEASE. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.4254] [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: 11/24/2022]
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Mecca AP, Chen MK, Godek TA, Harris JE, Bartlett HH, Toyonaga T, Naganawa M, Salardini A, Arnsten AF, Nabulsi NB, Lim K, Najafzadeh S, Ropchan JR, Huang Y, Carson RE, Strittmatter SM, van Dyck CH. P2-349: ASSOCIATION BETWEEN MGLUR5 AND SYNAPTIC DENSITY: A MULTI-TRACER STUDY OF HEALTHY AGING AND ALZHEIMER'S DISEASE. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.2756] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Lo KL, Chui KL, Leung CH, Ma SF, Lim K, Ng T, Wong J, Li JKM, Mak SK, Ng CF. Outcomes of transperineal and transrectal ultrasound-guided prostate biopsy. Hong Kong Med J 2019; 25:209-215. [PMID: 31178436 DOI: 10.12809/hkmj187599] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE To compare the clinical outcomes and pathological findings of transperineal ultrasound-guided prostate biopsy (TPUSPB) and transrectal ultrasound-guided prostate biopsy (TRUSPB) in a secondary referral hospital. METHODS This was a retrospective study of 100 TPUSPBs and 100 TRUSPBs performed in our centre. Pre-biopsy patient parameters (eg, patient age, clinical staging, serum prostate-specific antigen [PSA] level, prostate size, and PSA density), as well as pathological results and 30-day complication and readmission rates, were retrieved from the patients' medical records and compared between the two groups. RESULTS One hundred TPUSPBs performed from January 2018 to May 2018 and 100 TRUSPBs performed from January 2016 to April 2016 were included for analysis. Mean age did not significantly differ between the groups. The TPUSPB group had a higher mean PSA level, smaller prostate size, and higher PSA density, compared with the TRUSPB group. The overall prostate cancer detection rate was similar between the TPUSPB and TRUSPB groups (35% vs 25%, P=0.123). There were no significant differences between the groups in prostate cancer detection rates after stratification according to PSA density and clinical staging. With respect to complications, no patients developed fever in the TPUSPB group, while 4% of patients in the TRUSPB group had fever and required at least 1-week admission for intravenous antibiotic administration. CONCLUSION For prostate biopsy, TPUSPB is safer, with no infection complications, and has similar prostate cancer detection rate compared with TRUSPB.
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Affiliation(s)
- K L Lo
- Division of Urology, North District Hospital, New Territories East Cluster Urology Unit, Prince of Wales Hospital, Shatin, Hong Kong
| | - K L Chui
- Division of Urology, North District Hospital, New Territories East Cluster Urology Unit, Prince of Wales Hospital, Shatin, Hong Kong
| | - C H Leung
- SH Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - S F Ma
- Division of Urology, North District Hospital, New Territories East Cluster Urology Unit, Prince of Wales Hospital, Shatin, Hong Kong
| | - K Lim
- Division of Urology, North District Hospital, New Territories East Cluster Urology Unit, Prince of Wales Hospital, Shatin, Hong Kong
| | - T Ng
- Division of Urology, North District Hospital, New Territories East Cluster Urology Unit, Prince of Wales Hospital, Shatin, Hong Kong
| | - J Wong
- Division of Urology, North District Hospital, New Territories East Cluster Urology Unit, Prince of Wales Hospital, Shatin, Hong Kong
| | - J K M Li
- Division of Urology, North District Hospital, New Territories East Cluster Urology Unit, Prince of Wales Hospital, Shatin, Hong Kong
| | - S K Mak
- Division of Urology, North District Hospital, New Territories East Cluster Urology Unit, Prince of Wales Hospital, Shatin, Hong Kong
| | - C F Ng
- Division of Urology, North District Hospital, New Territories East Cluster Urology Unit, Prince of Wales Hospital, Shatin, Hong Kong.,SH Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Shatin, Hong Kong
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Soltani S, Nogaro MC, Rougelot C, Newell N, Lim K, Kieser DC. Spontaneous spinal epidural haematomas in children. Eur Spine J 2019; 28:2229-2236. [PMID: 30972569 DOI: 10.1007/s00586-019-05975-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 04/01/2019] [Accepted: 04/06/2019] [Indexed: 01/16/2023]
Abstract
PURPOSE To understand the typical presentation, risk factors, location and size, treatment, neurological recovery and survival of spontaneous spinal epidural haematomas (SSEH) in children. METHODS A systematic review of the English literature from 1 January 1960 to 1 March 2018 was performed on children aged 18 years and younger. Individual patient data were extracted and collated. Outcome measures were mode of presentation, risk factors, initial neurological findings, initial presumed diagnosis, diagnostic investigations, site and size of the SSEH, treatment, neurological recovery and survival. RESULTS Thirty-one publications and 36 patients were reviewed. All age groups were affected. 83% of patients did not have a known risk factor. Back pain was reported in 61% and neurological dysfunction in 97% of patients, although not all articles defined these parameters. Initially 28% of patients were suspected of having an alternative diagnosis. All patients had an MRI and/or CT scan confirming the diagnosis. The cervical-thoracic region was most commonly affected, and the average haematoma size extended across 6.3 vertebral levels. Surgical decompression was performed in 72% of patients. Neurological function improved in 83% of patients. Two patients died as a consequence of their SSEH. CONCLUSIONS SSEHs affect all paediatric age groups and typically present with neurological dysfunction and/or back pain. The initial diagnosis is incorrect in up to 28% of cases, but cross-sectional spinal imaging is diagnostic. Most SSEHs are located in the cervico-thoracic region and affect multiple spinal levels. The treatment depends on whether the patient has a bleeding disorder and their neurological status. These slides can be retrieved under Electronic Supplementary Material.
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Affiliation(s)
- S Soltani
- Division of Spinal Surgery, Oxford University NHS Foundation Trust, Oxford, England, UK
| | - M C Nogaro
- Division of Spinal Surgery, Oxford University NHS Foundation Trust, Oxford, England, UK
| | - C Rougelot
- Paediatric Department, Oxford University NHS Foundation Trust, Oxford, England, UK
| | - N Newell
- Department of Mechanical Engineering, Imperial College, London, England, UK
| | - K Lim
- Department of Orthopaedics and Musculoskeletal Medicine, Christchurch School of Medicine, University of Otago, Christchurch, New Zealand
| | - D C Kieser
- Department of Orthopaedics and Musculoskeletal Medicine, Christchurch School of Medicine, University of Otago, Christchurch, New Zealand.
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Sundman M, Lim K, Mizell J, That VT, Mennie W, Ugonna C, Lindley M, Fuglevand A, Chen N, Wilson R, Huang Y, Chou Y. Divergent effects on cortical excitability observed in healthy older adults during active voluntary contraction following motor cortex iTBS. Brain Stimul 2019. [DOI: 10.1016/j.brs.2018.12.684] [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: 10/27/2022] Open
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Camchong Y, Roy A, Gilmore C, Thao M, Kazynski M, Fiecas M, Mueller B, MacDonald A, Kushner M, Lim K. Using Brain Stimulation to Modify a Brain Network and Support Abstinence during Alcohol Use Disorder Recovery. Brain Stimul 2019. [DOI: 10.1016/j.brs.2018.12.673] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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Cullen K, Thai M, Lim K, Klimes-Dougan B. Targeting rumination with combined mindful breathing and tDCS in adolescents with suicidal thoughts. Brain Stimul 2019. [DOI: 10.1016/j.brs.2018.12.935] [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: 10/27/2022] Open
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Naganawa M, Lim K, Nabulsi NB, Lin SF, Labaree D, Ropchan J, Herold KC, Huang Y, Harris P, Ichise M, Cline GW, Carson RE. Evaluation of Pancreatic VMAT2 Binding with Active and Inactive Enantiomers of [ 18F]FP-DTBZ in Healthy Subjects and Patients with Type 1 Diabetes. Mol Imaging Biol 2019; 20:835-845. [PMID: 29468404 DOI: 10.1007/s11307-018-1170-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [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] [Indexed: 11/26/2022]
Abstract
PURPOSE Previous studies demonstrated the utility of [18F]fluoropropyl-(+)-dihydrotetrabenazine ([18F]FP-(+)-DTBZ) as a positron emission tomography (PET) radiotracer for the vesicular monoamine transporter type 2 (VMAT2) to quantify beta cell mass in healthy control (HC) and type 1 diabetes mellitus (T1DM) groups. Quantification of specific binding requires measurement of non-displaceable uptake. Our goal was to identify a reference tissue (renal cortex or spleen) to quantify pancreatic non-specific binding of [18F]FP-(+)-DTBZ with the inactive enantiomer, [18F]FP-(-)-DTBZ. This was the first human study of [18F]FP-(-)-DTBZ. PROCEDURES Six HCs and four T1DM patients were scanned on separate days after injection of [18F]FP-(+)-DTBZ or [18F]FP-(-)-DTBZ. Distribution volumes (VT) and standardized uptake values (SUVs) were compared between groups. Three methods for calculation of non-displaceable uptake (VND) or reference SUV were applied: (1) use of [18F]FP-(+)-DTBZ reference VT as VND, assuming VND is uniform across organs; (2) use of [18F]FP-(-)-DTBZ pancreatic VT as VND, assuming that VND is uniform between enantiomers in the pancreas; and (3) use of a scaled [18F]FP-(+)-DTBZ reference VT as VND, assuming that a ratio of non-displaceable uptake between organs is uniform between enantiomers. Group differences in VT (or SUV), binding potential (BPND), or SUV ratio (SUVR) were estimated using these three methods. RESULTS [18F]FP-(-)-DTBZ VT values were different among organs, and VT(+) and VT(-) were also different in the renal cortex and spleen. Method 3 with the spleen to estimate VND (or reference SUV) gave the highest non-displaceable uptake and the largest HC vs. T1DM group differences. Significant group differences were also observed in VT (or SUV) with method 1 using spleen. SUV was affected by differences in the input function between groups and between enantiomers. CONCLUSIONS Non-displaceable uptake was different among organs and between enantiomers. Use of scaled spleen VT values for VND is a suitable method for quantification of VMAT2 in the pancreas.
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Affiliation(s)
- Mika Naganawa
- Yale University, P.O. Box 208048, New Haven, CT, 06520-8048, USA.
| | - Keunpoong Lim
- Yale University, P.O. Box 208048, New Haven, CT, 06520-8048, USA
| | - Nabeel B Nabulsi
- Yale University, P.O. Box 208048, New Haven, CT, 06520-8048, USA
| | - Shu-Fei Lin
- Yale University, P.O. Box 208048, New Haven, CT, 06520-8048, USA
| | - David Labaree
- Yale University, P.O. Box 208048, New Haven, CT, 06520-8048, USA
| | - Jim Ropchan
- Yale University, P.O. Box 208048, New Haven, CT, 06520-8048, USA
| | - Kevan C Herold
- Yale University, P.O. Box 208048, New Haven, CT, 06520-8048, USA
| | - Yiyun Huang
- Yale University, P.O. Box 208048, New Haven, CT, 06520-8048, USA
| | | | | | - Gary W Cline
- Yale University, P.O. Box 208048, New Haven, CT, 06520-8048, USA
| | - Richard E Carson
- Yale University, P.O. Box 208048, New Haven, CT, 06520-8048, USA
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Lee S, Lau L, Lim K, Cole D. Incentives that influence low income Filipinos with Tuberculosis symptoms to change health-seeking behaviour: a randomized controlled trial. Int J Infect Dis 2019. [DOI: 10.1016/j.ijid.2018.11.044] [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: 10/27/2022] Open
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Groom KM, Ganzevoort W, Alfirevic Z, Lim K, Papageorghiou AT. Reply. Ultrasound Obstet Gynecol 2019; 53:275. [PMID: 30741451 DOI: 10.1002/uog.20202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Affiliation(s)
- K M Groom
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - W Ganzevoort
- Department of Obstetrics and Gynecology, Academisch Medisch Centrum, Amsterdam, The Netherlands
| | - Z Alfirevic
- Department of Women's and Children's Health, The University of Liverpool, Liverpool, UK
| | - K Lim
- Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, Canada
| | - A T Papageorghiou
- Fetal Medicine Unit, St George's, University of London, London, UK
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
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McLean K, Glasbey J, Borakati A, Brooks T, Chang H, Choi S, Goodson R, Nielsen M, Pronin S, Salloum N, Sewart E, Vanniasegaram D, Drake T, Gillies M, Harrison E, Chapman S, Khatri C, Kong C, Claireaux H, Bath M, Mohan M, McNamee L, Kelly M, Mitchell H, Fitzgerald J, Bhangu A, Nepogodiev D, Antoniou I, Dean R, Davies N, Trecarten S, Henderson I, Holmes C, Wylie J, Shuttleworth R, Jindal A, Hughes F, Gouda P, Fleck R, Hanrahan M, Karunakaran P, Chen J, Sykes M, Sethi R, Suresh S, Patel P, Patel M, Varma R, Mushtaq J, Gundogan B, Bolton W, Khan T, Burke J, Morley R, Favero N, Adams R, Thirumal V, Kennedy E, Ong K, Tan Y, Gabriel J, Bakhsh A, Low J, Yener A, Paraoan V, Preece R, Tilston T, Cumber E, Dean S, Ross T, McCance E, Amin H, Satterthwaite L, Clement K, Gratton R, Mills E, Chiu S, Hung G, Rafiq N, Hayes J, Robertson K, Dynes K, Huang H, Assadullah S, Duncumb J, Moon R, Poo S, Mehta J, Joshi K, Callan R, Norris J, Chilvers N, Keevil H, Jull P, Mallick S, Elf D, Carr L, Player C, Barton E, Martin A, Ratu S, Roberts E, Phan P, Dyal A, Rogers J, Henson A, Reid N, Burke D, Culleton G, Lynne S, Mansoor S, Brennan C, Blessed R, Holloway C, Hill A, Goldsmith T, Mackin S, Kim S, Woin E, Brent G, Coffin J, Ziff O, Momoh Z, Debenham R, Ahmed M, Yong C, Wan J, Copley H, Raut P, Chaudhry F, Nixon G, Dorman C, Tan R, Kanabar S, Canning N, Dolaghan M, Bell N, McMenamin M, Chhabra A, Duke K, Turner L, Patel T, Chew L, Mirza M, Lunawat S, Oremule B, Ward N, Khan M, Tan E, Maclennan D, McGregor R, Chisholm E, Griffin E, Bell L, Hughes B, Davies J, Haq H, Ahmed H, Ungcharoen N, Whacha C, Thethi R, Markham R, Lee A, Batt E, Bullock N, Francescon C, Davies J, Shafiq N, Zhao J, Vivekanantham S, Barai I, Allen J, Marshall D, McIntyre C, Wilson H, Ashton A, Lek C, Behar N, Davis-Hall M, Seneviratne N, Esteve L, Sirakaya M, Ali S, Pope S, Ahn J, Craig-McQuaide A, Gatfield W, Leong S, Demetri A, Kerr A, Rees C, Loveday J, Liu S, Wijesekera M, Maru D, Attalla M, Smith N, Brown D, Sritharan P, Shah A, Charavanamuttu V, Heppenstall-Harris G, Ng K, Raghvani T, Rajan N, Hulley K, Moody N, Williams M, Cotton A, Sharifpour M, Lwin K, Bright M, Chitnis A, Abdelhadi M, Semana A, Morgan F, Reid R, Dickson J, Anderson L, McMullan R, Ahern N, Asmadi A, Anderson L, Boon Xuan JL, Crozier L, McAleer S, Lees D, Adebayo A, Das M, Amphlett A, Al-Robeye A, Valli A, Khangura J, Winarski A, Ali A, Woodward H, Gouldthrope C, Turner M, Sasapu K, Tonkins M, Wild J, Robinson M, Hardie J, Heminway R, Narramore R, Ramjeeawon N, Hibberd A, Winslow F, Ho W, Chong B, Lim K, Ho S, Crewdson J, Singagireson S, Kalra N, Koumpa F, Jhala H, Soon W, Karia M, Rasiah M, Xylas D, Gilbert H, Sundar-Singh M, Wills J, Akhtar S, Patel S, Hu L, Brathwaite-Shirley C, Nayee H, Amin O, Rangan T, Turner E, McCrann C, Shepherd R, Patel N, Prest-Smith J, Auyoung E, Murtaza A, Coates A, Prys-Jones O, King M, Gaffney S, Dewdney C, Nehikhare I, Lavery J, Bassett J, Davies K, Ahmad K, Collins A, Acres M, Egerton C, Cheng K, Chen X, Chan N, Sheldon A, Khan S, Empey J, Ingram E, Malik A, Johnstone M, Goodier R, Shah J, Giles J, Sanders J, McLure S, Pal S, Rangedara A, Baker A, Asbjoernsen C, Girling C, Gray L, Gauntlett L, Joyner C, Qureshi S, Mogan Y, Ng J, Kumar A, Park J, Tan D, Choo K, Raman K, Buakuma P, Xiao C, Govinden S, Thompson O, Charalambos M, Brown E, Karsan R, Dogra T, Bullman L, Dawson P, Frank A, Abid H, Tung L, Qureshi U, Tahmina A, Matthews B, Harris R, O'Connor A, Mazan K, Iqbal S, Stanger S, Thompson J, Sullivan J, Uppal E, MacAskill A, Bamgbose F, Neophytou C, Carroll A, Rookes C, Datta U, Dhutia A, Rashid S, Ahmed N, Lo T, Bhanderi S, Blore C, Ahmed S, Shaheen H, Abburu S, Majid S, Abbas Z, Talukdar S, Burney L, Patel J, Al-Obaedi O, Roberts A, Mahboob S, Singh B, Sheth S, Karia P, Prabhudesai A, Kow K, Koysombat K, Wang S, Morrison P, Maheswaran Y, Keane P, Copley P, Brewster O, Xu G, Harries P, Wall C, Al-Mousawi A, Bonsu S, Cunha P, Ward T, Paul J, Nadanakumaran K, Tayeh S, Holyoak H, Remedios J, Theodoropoulou K, Luhishi A, Jacob L, Long F, Atayi A, Sarwar S, Parker O, Harvey J, Ross H, Rampal R, Thomas G, Vanmali P, McGowan C, Stein J, Robertson V, Carthew L, Teng V, Fong J, Street A, Thakker C, O'Reilly D, Bravo M, Pizzolato A, Khokhar H, Ryan M, Cheskes L, Carr R, Salih A, Bassiony S, Yuen R, Chrastek D, Rosen O'Sullivan H, Amajuoyi A, Wang A, Sitta O, Wye J, Qamar M, Major C, Kaushal A, Morgan C, Petrarca M, Allot R, Verma K, Dutt S, Chilima C, Peroos S, Kosasih S, Chin H, Ashken L, Pearse R, O'Loughlin R, Menon A, Singh K, Norton J, Sagar R, Jathanna N, Rothwell L, Watson N, Harding F, Dube P, Khalid H, Punjabi N, Sagmeister M, Gill P, Shahid S, Hudson-Phillips S, George D, Ashwood J, Lewis T, Dhar M, Sangal P, Rhema I, Kotecha D, Afzal Z, Syeed J, Prakash E, Jalota P, Herron J, Kimani L, Delport A, Shukla A, Agarwal V, Parthiban S, Thakur H, Cymes W, Rinkoff S, Turnbull J, Hayat M, Darr S, Khan U, Lim J, Higgins A, Lakshmipathy G, Forte B, Canning E, Jaitley A, Lamont J, Toner E, Ghaffar A, McDowell M, Salmon D, O'Carroll O, Khan A, Kelly M, Clesham K, Palmer C, Lyons R, Bell A, Chin R, Waldron R, Trimble A, Cox S, Ashfaq U, Campbell J, Holliday R, McCabe G, Morris F, Priestland R, Vernon O, Ledsam A, Vaughan R, Lim D, Bakewell Z, Hughes R, Koshy R, Jackson H, Narayan P, Cardwell A, Jubainville C, Arif T, Elliott L, Gupta V, Bhaskaran G, Odeleye A, Ahmed F, Shah R, Pickard J, Suleman Y, North A, McClymont L, Hussain N, Ibrahim I, Ng G, Wong V, Lim A, Harris L, Tharmachandirar T, Mittapalli D, Patel V, Lakhani M, Bazeer H, Narwani V, Sandhu K, Wingfield L, Gentry S, Adjei H, Bhatti M, Braganza L, Barnes J, Mistry S, Chillarge G, Stokes S, Cleere J, Wadanamby S, Bucko A, Meek J, Boxall N, Heywood E, Wiltshire J, Toh C, Ward A, Shurovi B, Horth D, Patel B, Ali B, Spencer T, Axelson T, Kretzmer L, Chhina C, Anandarajah C, Fautz T, Horst C, Thevathasan A, Ng J, Hirst F, Brewer C, Logan A, Lockey J, Forrest P, Keelty N, Wood A, Springford L, Avery P, Schulz T, Bemand T, Howells L, Collier H, Khajuria A, Tharakan R, Parsons S, Buchan A, McGalliard R, Mason J, Cundy O, Li N, Redgrave N, Watson R, Pezas T, Dennis Y, Segall E, Hameed M, Lynch A, Chamberlain M, Peck F, Neo Y, Russell G, Elseedawy M, Lee S, Foster N, Soo Y, Puan L, Dennis R, Goradia H, Qureshi A, Osman S, Reeves T, Dinsmore L, Marsden M, Lu Q, Pitts-Tucker T, Dunn C, Walford R, Heathcote E, Martin R, Pericleous A, Brzyska K, Reid K, Williams M, Wetherall N, McAleer E, Thomas D, Kiff R, Milne S, Holmes M, Bartlett J, Lucas de Carvalho J, Bloomfield T, Tongo F, Bremner R, Yong N, Atraszkiewicz B, Mehdi A, Tahir M, Sherliker G, Tear A, Pandey A, Broyd A, Omer H, Raphael M, Chaudhry W, Shahidi S, Jawad A, Gill C, Fisher IH, Adeleja I, Clark I, Aidoo-Micah G, Stather P, Salam G, Glover T, Deas G, Sim N, Obute R, Wynell-Mayow W, Sait M, Mitha N, de Bernier G, Siddiqui M, Shaunak R, Wali A, Cuthbert G, Bhudia R, Webb E, Shah S, Ansari N, Perera M, Kelly N, McAllister R, Stanley G, Keane C, Shatkar V, Maxwell-Armstrong C, Henderson L, Maple N, Manson R, Adams R, Semple E, Mills M, Daoub A, Marsh A, Ramnarine A, Hartley J, Malaj M, Jewell P, Whatling E, Hitchen N, Chen M, Goh B, Fern J, Rogers S, Derbyshire L, Robertson D, Abuhussein N, Deekonda P, Abid A, Harrison P, Aildasani L, Turley H, Sherif M, Pandey G, Filby J, Johnston A, Burke E, Mohamud M, Gohil K, Tsui A, Singh R, Lim S, O'Sullivan K, McKelvey L, O'Neill S, Roberts H, Brown F, Cao Y, Buckle R, Liew Y, Sii S, Ventre C, Graham C, Filipescu T, Yousif A, Dawar R, Wright A, Peters M, Varley R, Owczarek S, Hartley S, Khattak M, Iqbal A, Ali M, Durrani B, Narang Y, Bethell G, Horne L, Pinto R, Nicholls K, Kisyov I, Torrance H, English W, Lakhani S, Ashraf S, Venn M, Elangovan V, Kazmi Z, Brecher J, Sukumar S, Mastan A, Mortimer A, Parker J, Boyle J, Elkawafi M, Beckett J, Mohite A, Narain A, Mazumdar E, Sreh A, Hague A, Weinberg D, Fletcher L, Steel M, Shufflebotham H, Masood M, Sinha Y, Jenvey C, Kitt H, Slade R, Craig A, Deall C, Reakes T, Chervenkoff J, Strange E, O'Bryan M, Murkin C, Joshi D, Bergara T, Naqib S, Wylam D, Scotcher S, Hewitt C, Stoddart M, Kerai A, Trist A, Cole S, Knight C, Stevens S, Cooper G, Ingham R, Dobson J, O'Kane A, Moradzadeh J, Duffy A, Henderson C, Ashraf S, McLaughin C, Hoskins T, Reehal R, Bookless L, McLean R, Stone E, Wright E, Abdikadir H, Roberts C, Spence O, Srikantharajah M, Ruiz E, Matthews J, Gardner E, Hester E, Naran P, Simpson R, Minhas M, Cornish E, Semnani S, Rojoa D, Radotra A, Eraifej J, Eparh K, Smith D, Mistry B, Hickling S, Din W, Liu C, Mithrakumar P, Mirdavoudi V, Rashid M, Mcgenity C, Hussain O, Kadicheeni M, Gardner H, Anim-Addo N, Pearce J, Aslanyan A, Ntala C, Sorah T, Parkin J, Alizadeh M, White A, Edozie F, Johnston J, Kahar A, Navayogaarajah V, Patel B, Carter D, Khonsari P, Burgess A, Kong C, Ponweera A, Cody A, Tan Y, Ng A, Croall A, Allan C, Ng S, Raghuvir V, Telfer R, Greenhalgh A, McKerr C, Edison M, Patel B, Dear K, Hardy M, Williams P, Hassan S, Sajjad U, O'Neill E, Lopes S, Healy L, Jamal N, Tan S, Lazenby D, Husnoo S, Beecroft S, Sarvanandan T, Weston C, Bassam N, Rabinthiran S, Hayat U, Ng L, Varma D, Sukkari M, Mian A, Omar A, Kim J, Sellathurai J, Mahmood J, O'Connell C, Bose R, Heneghan H, Lalor P, Matheson J, Doherty C, Cullen C, Cooper D, Angelov S, Drislane C, Smith A, Kreibich A, Palkhi E, Durr A, Lotfallah A, Gold D, Mckean E, Dhanji A, Anilkumar A, Thacoor A, Siddiqui Z, Lim S, Piquet A, Anderson S, McCormack D, Gulati J, Ibrahim A, Murray S, Walsh S, McGrath A, Ziprin P, Chua E, Lou C, Bloomer J, Paine H, Osei-Kuffour D, White C, Szczap A, Gokani S, Patel K, Malys M, Reed A, Torlot G, Cumber E, Charania A, Ahmad S, Varma N, Cheema H, Austreng L, Petra H, Chaudhary M, Zegeye M, Cheung F, Coffey D, Heer R, Singh S, Seager E, Cumming S, Suresh R, Verma S, Ptacek I, Gwozdz A, Yang T, Khetarpal A, Shumon S, Fung T, Leung W, Kwang P, Chew L, Loke W, Curran A, Chan C, McGarrigle C, Mohan K, Cullen S, Wong E, Toale C, Collins D, Keane N, Traynor B, Shanahan D, Yan A, Jafree D, Topham C, Mitrasinovic S, Omara S, Bingham G, Lykoudis P, Miranda B, Whitehurst K, Kumaran G, Devabalan Y, Aziz H, Shoa M, Dindyal S, Yates J, Bernstein I, Rattan G, Coulson R, Stezaker S, Isaac A, Salem M, McBride A, McFarlane H, Yow L, MacDonald J, Bartlett R, Turaga S, White U, Liew W, Yim N, Ang A, Simpson A, McAuley D, Craig E, Murphy L, Shepherd P, Kee J, Abdulmajid A, Chung A, Warwick H, Livesey A, Holton P, Theodoreson M, Jenkin S, Turner J, Entwisle J, Marchal S, O'Connor S, Blege H, Aithie J, Sabine L, Stewart G, Jackson S, Kishore A, Lankage C, Acquaah F, Joyce H, McKevitt K, Coffey C, Fawaz A, Dolbec K, O'Sullivan D, Geraghty J, Lim E, Bolton L, FitzPatrick D, Robinson C, Ramtoola T, Collinson S, Grundy L, McEnhill P, Harbhajan Singh G, Loughran D, Golding D, Keeling R, Williams R, Whitham R, Yoganathan S, Nachiappan R, Egan R, Owasil R, Kwan M, He A, Goh R, Bhome R, Wilson H, Teoh P, Raji K, Jayakody N, Matthams J, Chong J, Luk C, Greig R, Trail M, Charalambous G, Rocke A, Gardiner N, Bulley F, Warren N, Brennan E, Fergurson P, Wilson R, Whittingham H, Brown E, Khanijau R, Gandhi K, Morris S, Boulton A, Chandan N, Barthorpe A, Maamari R, Sandhu S, McCann M, Higgs L, Balian V, Reeder C, Diaper C, Sale T, Ali H, Archer C, Clarke A, Heskin J, Hurst P, Farmer J, O'Flynn L, Doan L, Shuker B, Stott G, Vithanage N, Hoban K, Nesargikar P, Kennedy H, Grossart C, Tan E, Roy C, Sim P, Leslie K, Sim D, Abul M, Cody N, Tay A, Woon E, Sng S, Mah J, Robson J, Shakweh E, Wing V, Mills H, Li M, Barrow T, Balaji S, Jordan H, Phillips C, Naveed H, Hirani S, Tai A, Ratnakumaran R, Sahathevan A, Shafi A, Seedat M, Weaver R, Batho A, Punj R, Selvachandran H, Bhatt N, Botchey S, Khonat Z, Brennan K, Morrison C, Devlin E, Linton A, Galloway E, McGarvie S, Ramsay N, McRobbie H, Whewell H, Dean W, Nelaj S, Eragat M, Mishra A, Kane T, Zuhair M, Wells M, Wilkinson D, Woodcock N, Sun E, Aziz N, Ghaffar MKA. Critical care usage after major gastrointestinal and liver surgery: a prospective, multicentre observational study. Br J Anaesth 2019; 122:42-50. [PMID: 30579405 DOI: 10.1016/j.bja.2018.07.029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Revised: 07/19/2018] [Accepted: 07/23/2018] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Patient selection for critical care admission must balance patient safety with optimal resource allocation. This study aimed to determine the relationship between critical care admission, and postoperative mortality after abdominal surgery. METHODS This prespecified secondary analysis of a multicentre, prospective, observational study included consecutive patients enrolled in the DISCOVER study from UK and Republic of Ireland undergoing major gastrointestinal and liver surgery between October and December 2014. The primary outcome was 30-day mortality. Multivariate logistic regression was used to explore associations between critical care admission (planned and unplanned) and mortality, and inter-centre variation in critical care admission after emergency laparotomy. RESULTS Of 4529 patients included, 37.8% (n=1713) underwent planned critical care admissions from theatre. Some 3.1% (n=86/2816) admitted to ward-level care subsequently underwent unplanned critical care admission. Overall 30-day mortality was 2.9% (n=133/4519), and the risk-adjusted association between 30-day mortality and critical care admission was higher in unplanned [odds ratio (OR): 8.65, 95% confidence interval (CI): 3.51-19.97) than planned admissions (OR: 2.32, 95% CI: 1.43-3.85). Some 26.7% of patients (n=1210/4529) underwent emergency laparotomies. After adjustment, 49.3% (95% CI: 46.8-51.9%, P<0.001) were predicted to have planned critical care admissions, with 7% (n=10/145) of centres outside the 95% CI. CONCLUSIONS After risk adjustment, no 30-day survival benefit was identified for either planned or unplanned postoperative admissions to critical care within this cohort. This likely represents appropriate admission of the highest-risk patients. Planned admissions in selected, intermediate-risk patients may present a strategy to mitigate the risk of unplanned admission. Substantial inter-centre variation exists in planned critical care admissions after emergency laparotomies.
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Sindone A, Audehm R, Haikerwal D, Lim K, Piazza P, Parsons R, Neville A, Liew D. A Retrospective Cohort Study of Heart Failure in the Australian Primary Care Setting – Clinical Characteristics of HF Patients (SHAPE Study). Heart Lung Circ 2019. [DOI: 10.1016/j.hlc.2019.06.055] [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: 10/26/2022]
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Sindone A, Audehm R, Haikerwal D, Lim K, Piazza P, Parsons R, Neville A, Liew D. A Retrospective Cohort Study of Heart Failure in the Australian Primary Care Setting – Method and Demographic Results (SHAPE study). Heart Lung Circ 2019. [DOI: 10.1016/j.hlc.2019.06.056] [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: 11/24/2022]
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Kenny LC, Alfirevic Z, Baker PN, Ganzevoort W, Gluud C, Groom KM, Jakobsen JC, Lim K, Magee LA, Papageorghiou AT, von Dadelszen P. Viagra for fetal growth restriction: STRIDER Consortium replies to letter by Symonds and Budge. BMJ 2018; 363:k4872. [PMID: 30467195 DOI: 10.1136/bmj.k4872] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
| | | | | | | | | | | | | | - K Lim
- Division of Maternal-Fetal Medicine, University of British Columbia, Vancouver, Canada
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Lim K, Kim J. EFFECTS OF COGNITION ENHANCING PROGRAM AMONG COMMUNITY-DWELLING OLDER ADULTS. Innov Aging 2018. [DOI: 10.1093/geroni/igy031.3454] [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: 11/14/2022] Open
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Kim J, Ryoo S, Sohn C, Seo D, Lim K, Kim W. 144 Risk Factors for Same Pathogen Sepsis Readmissions Following Hospitalization for Septic Shock. Ann Emerg Med 2018. [DOI: 10.1016/j.annemergmed.2018.08.149] [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]
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Huynh C, Puyraimond-Zemmour D, Maillefert JF, Conaghan PG, Davis AM, Gunther KP, Hawker G, Hochberg MC, Kloppenburg M, Lim K, Lohmander LS, Mahomed NN, March L, Pavelka K, Punzi L, Roos EM, Sanchez-Riera L, Singh JA, Suarez-Almazor ME, Dougados M, Gossec L. Factors associated with the orthopaedic surgeon's decision to recommend total joint replacement in hip and knee osteoarthritis: an international cross-sectional study of 1905 patients. Osteoarthritis Cartilage 2018; 26:1311-1318. [PMID: 30017727 DOI: 10.1016/j.joca.2018.06.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [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: 01/31/2018] [Revised: 05/30/2018] [Accepted: 06/20/2018] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To determine factors associated with orthopaedic surgeons' decision to recommend total joint replacement (TJR) in people with knee and hip osteoarthritis (OA). DESIGN Cross-sectional study in eleven countries. For consecutive outpatients with definite hip or knee OA consulting an orthopaedic surgeon, the surgeon's indication of TJR was collected, as well as patients' characteristics including comorbidities and social situation, OA symptom duration, pain, stiffness and function (Western Ontario and McMaster Universities Osteoarthritis Index [WOMAC]), joint-specific quality of life, Osteoarthritis Research Society International (OARSI) joint space narrowing (JSN) radiographic grade (0-4), and surgeons' characteristics. Univariable and multivariable logistic regressions were performed to identify factors associated with the indication of TJR, adjusted by country. RESULTS In total, 1905 patients were included: mean age was 66.5 (standard deviation [SD], 10.8) years, 1082 (58.0%) were women, mean OA symptom duration was 5.0 (SD 7.0) years. TJR was recommended in 561/1127 (49.8%) knee OA and 542/778 (69.7%) hip OA patients. In multivariable analysis on 516 patients with complete data, the variables associated with TJR indication were radiographic grade (Odds Ratio, OR for one grade increase, for knee and hip OA, respectively: 2.90, 95% confidence interval [1.69-4.97] and 3.30 [2.17-5.03]) and WOMAC total score (OR for 10 points increase: 1.65 [1.32-2.06] and 1.38 [1.15-1.66], respectively). After excluding radiographic grade from the analyses, on 1265 patients, greater WOMAC total score was the main predictor for knee and hip OA; older age was also significant for knee OA. CONCLUSION Radiographic severity and patient-reported pain and function play a major role in surgeons' recommendation for TJR.
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Affiliation(s)
- C Huynh
- Sorbonne Universités, UPMC Univ Paris 06, Institut Pierre Louis d'Epidémiologie et de Santé Publique (UMRS 1136), Paris, France; Rheumatology Department, Hôpital Pitié Salpêtrière, AP-HP, PARIS, France
| | - D Puyraimond-Zemmour
- Sorbonne Universités, UPMC Univ Paris 06, Institut Pierre Louis d'Epidémiologie et de Santé Publique (UMRS 1136), Paris, France; Rheumatology Department, Hôpital Pitié Salpêtrière, AP-HP, PARIS, France
| | - J F Maillefert
- Department of Rheumatology, Dijon University Hospital, Dijon F 21078, France; INSERM U1093, University of Burgundy, Dijon F 21079, France
| | - P G Conaghan
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, NIHR Leeds Biomedical Research Centre, Leeds, United Kingdom
| | - A M Davis
- Division of Health Care and Outcomes Research, Krembil Research Institute, Toronto, Ontario, Canada; Department of Rehabilitation Science and Health Policy, University of Toronto, Canada; Department of Management and Evaluation, University of Toronto, Canada
| | - K-P Gunther
- University Center of Orthopaedics and Traumatology, Technische Universität, Dresden, Germany
| | - G Hawker
- Division of Rheumatology, Department of Medicine, Women's College Hospital, Women's College Research Institute, Canada; Faculty of Medicine, Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada
| | - M C Hochberg
- Division of Rheumatology & Clinical Immunology, Department of Medicine and Division of Gerontology, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - M Kloppenburg
- Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - K Lim
- University of Melbourne, Department of Medicine (Western), Dept of Rheumatology, Western Health, Australian Institute of Musculoskeletal Science, Melbourne, Australia
| | - L S Lohmander
- Department of Clinical Sciences Lund, Orthopaedics, Lund University, Lund, Sweden
| | - N N Mahomed
- Division of Orthopaedic Surgery, Toronto Western Hospital, University of Toronto, Arthritis Program, University Health Network, Toronto, Canada
| | - L March
- Institute of Bone and Joint Research, University of Sydney, Royal North Shore Hospital, St Leonards, Australia
| | - K Pavelka
- Institute of Rheumatology, Charles University Prague, Czech Republic
| | - L Punzi
- Rheumatology Unit, Department of Medicine DIMED, University of Padova, Italy
| | - E M Roos
- Institute of Sports and Clinical Biomechanics, University of Southern Denmark, Denmark
| | - L Sanchez-Riera
- University Hospital Bristol NHS Foundation Trust, Bristol, UK; Birmingham VA Medical Center, University of Alabama, Birmingham, AL, USA
| | - J A Singh
- Section of Rheumatology and Clinical Immunology, University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA
| | - M E Suarez-Almazor
- Section of Rheumatology and Clinical Immunology, University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA
| | - M Dougados
- Paris Descartes University, Department of Rheumatology, Hôpital Cochin, APHP, INSERM (U1153): Clinical epidemiology and biostatistics, PRES Sorbonne Paris-Cité, Paris 14, France
| | - L Gossec
- Sorbonne Universités, UPMC Univ Paris 06, Institut Pierre Louis d'Epidémiologie et de Santé Publique (UMRS 1136), Paris, France; Rheumatology Department, Hôpital Pitié Salpêtrière, AP-HP, PARIS, France.
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Groom KM, Ganzevoort W, Alfirevic Z, Lim K, Papageorghiou AT. Clinicians should stop prescribing sildenafil for fetal growth restriction (FGR): comment from the STRIDER Consortium. Ultrasound Obstet Gynecol 2018; 52:295-296. [PMID: 30079989 DOI: 10.1002/uog.19186] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Affiliation(s)
- K M Groom
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - W Ganzevoort
- Department of Obstetrics and Gynecology, Academisch Medisch Centrum, Amsterdam, The Netherlands
| | - Z Alfirevic
- Department of Women's and Children's Health, The University of Liverpool, Liverpool, UK
| | - K Lim
- Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, Canada
| | - A T Papageorghiou
- Fetal Medicine Unit, St George's, University of London, London, UK
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
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Rossi G, Wat P, Lim K, McNaughten J, Sitters S, Barnes A. Analytical Validation of Paraoxonase-1 (PON-1) Activity in Seminal Plasma of Horses. J Equine Vet Sci 2018. [DOI: 10.1016/j.jevs.2018.05.002] [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: 10/28/2022]
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Han S, Shin S, Jeon Y, Heo J, Kweon G, Park S, Park J, Lim K. PO-072 ω3-Polyunsaturated fatty acids inhibit cell growth and invasion of human hypopharyngeal carcinoma cells. ESMO Open 2018. [DOI: 10.1136/esmoopen-2018-eacr25.115] [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: 11/03/2022] Open
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Jing K, Shin S, Lim K. PO-123 Constitutive expression of FAT1 gene inhibits the invasion and tumorigenicity of cervical cancer cells through degradation of HPV E6/E7 oncoprotein via P53/RB in vitro and in vivo. ESMO Open 2018. [DOI: 10.1136/esmoopen-2018-eacr25.164] [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: 11/03/2022] Open
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Burke S, Batumalai V, Lim K, Roach D, Dinsdale G, Mahoney L, Jameson M, Ochoa C, Veera J, Holloway L, Vinod S. EP-2369: Dosimetric impact of imaging modality (CT versus MRI) for cervical cancer radiotherapy. Radiother Oncol 2018. [DOI: 10.1016/s0167-8140(18)32677-x] [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: 10/14/2022]
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Jahanfar S, Lim K. Placental pathology findings and birth weight discordance. CLIN EXP OBSTET GYN 2018. [DOI: 10.12891/ceog3740.2018] [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: 11/01/2022]
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Bini J, Naganawa M, Nabulsi N, Huang Y, Ropchan J, Lim K, Najafzadeh S, Herold KC, Cline GW, Carson RE. Evaluation of PET Brain Radioligands for Imaging Pancreatic β-Cell Mass: Potential Utility of 11C-(+)-PHNO. J Nucl Med 2018; 59:1249-1254. [PMID: 29371405 DOI: 10.2967/jnumed.117.197285] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Accepted: 12/07/2017] [Indexed: 12/21/2022] Open
Abstract
Type 1 diabetes mellitus (T1DM) is characterized by a loss of β-cells in the islets of Langerhans of the pancreas and subsequent deficient insulin secretion in response to hyperglycemia. Development of an in vivo test to measure β-cell mass (BCM) would greatly enhance the ability to track diabetes therapies. β-cells and neurologic tissues have common cellular receptors and transporters, therefore, we screened brain radioligands for their ability to identify β-cells. Methods: We examined a β-cell gene atlas for endocrine pancreas receptor targets and cross-referenced these targets with brain radioligands that were available at our institution. Twelve healthy control subjects and 2 T1DM subjects underwent dynamic PET/CT scans with 6 tracers. Results: The D2/D3 receptor agonist radioligand 11C-(+)-4-propyl-9-hydroxynaphthoxazine (PHNO) was the only radioligand to demonstrate sustained uptake in the pancreas with high contrast versus abdominal organs such as the kidneys, liver, and spleen, based on the first 30 min of data. Mean SUV from 20 to 30 min demonstrated high uptake of 11C-(+)-PHNO in healthy controls (SUV, 13.8) with a 71% reduction in a T1DM subject with undetectable levels of C-peptide (SUV, 4.0) and a 20% reduction in a T1DM subject with fasting C-peptide level of 0.38 ng/mL (SUV, 11.0). SUV in abdominal organs outside the pancreas did not show measurable differences between the control and T1DM subjects, suggesting that the changes in SUV of 11C-(+)-PHNO may be specific to changes in the pancreas between healthy controls and T1DM subjects. When D3 and D2 antagonists were used in nonhuman primates, specific pancreatic binding (SUVR-1) of 11C-PHNO was reduced by 57% and 38%, respectively. Conclusion:11C-(+)-PHNO is a potential marker of BCM, with 2:1 binding of D3 receptors over D2 receptors. Further in vitro and in vivo studies to establish D2/D3 receptor specificity to β-cells is warranted to characterize 11C-(+)-PHNO as a candidate for clinical measurement of BCM in healthy control and diabetic subjects.
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Affiliation(s)
- Jason Bini
- PET Center, Yale University School of Medicine, New Haven, CT .,Department of Biomedical Engineering, Yale University, New Haven, CT; and
| | - Mika Naganawa
- PET Center, Yale University School of Medicine, New Haven, CT
| | - Nabeel Nabulsi
- PET Center, Yale University School of Medicine, New Haven, CT
| | - Yiyun Huang
- PET Center, Yale University School of Medicine, New Haven, CT
| | - Jim Ropchan
- PET Center, Yale University School of Medicine, New Haven, CT
| | - Keunpoong Lim
- PET Center, Yale University School of Medicine, New Haven, CT
| | | | - Kevan C Herold
- Department of Immunobiology and Internal Medicine, Yale University School of Medicine, New Haven, CT
| | - Gary W Cline
- Department of Immunobiology and Internal Medicine, Yale University School of Medicine, New Haven, CT
| | - Richard E Carson
- PET Center, Yale University School of Medicine, New Haven, CT.,Department of Biomedical Engineering, Yale University, New Haven, CT; and
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Bhatt S, Hillmer AT, Nabulsi N, Matuskey D, Lim K, Lin SF, Esterlis I, Carson RE, Huang Y, Cosgrove KP. Evaluation of (-)-[ 18 F]Flubatine-specific binding: Implications for reference region approaches. Synapse 2017; 72. [PMID: 29105121 DOI: 10.1002/syn.22016] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 10/13/2017] [Accepted: 10/31/2017] [Indexed: 11/05/2022]
Abstract
We aimed to characterize changes in binding of (-)-[18 F]Flubatine to α4 β2 *-nicotinic acetylcholine receptors (α4 β2 *-nAChRs) during a tobacco cigarette smoking challenge. Displacement of (-)-[18 F]Flubatine throughout the brain was quantified as change in (-)-[18 F]Flubatine distribution volume (VT ), with particular emphasis on regions with low VT . Three tobacco smokers were imaged with positron emission tomography (PET) during a 210 min bolus-plus-constant infusion of (-)-[18 F]Flubatine. A tobacco cigarette was smoked in the PET scanner ∼125 min after the start of (-)-[18 F]Flubatine injection. Equilibrium analysis was used to estimate VT at baseline (90-120 min) and after cigarette challenge (180-210 min), at the time of greatest receptor occupancy by nicotine. Smoking reduced VT by 21 ± 9% (average ±SD) in corpus callosum, 17 ± 9% in frontal cortex, 36 ± 11% in cerebellum, and 22 ± 10% in putamen. The finding of displaceable (-)-[18 F]Flubatine binding throughout the brain is an important consideration for reference region-based quantification approaches with this tracer. We observed displacement of (-)-[18 F]Flubatine binding to α4 β2 *-nicotinic acetylcholine receptors in corpus callosum by a tobacco cigarette challenge. We conclude that reference region approaches utilizing corpus callosum should first perform careful characterization of displaceable (-)-[18 F]Flubatine binding and nondisplaceable kinetics in this putative reference region.
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Affiliation(s)
- Shivani Bhatt
- Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, Connecticut.,Yale PET Center, Yale University School of Medicine, New Haven, Connecticut
| | - Ansel T Hillmer
- Yale PET Center, Yale University School of Medicine, New Haven, Connecticut.,Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut.,Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Nabeel Nabulsi
- Yale PET Center, Yale University School of Medicine, New Haven, Connecticut
| | - David Matuskey
- Yale PET Center, Yale University School of Medicine, New Haven, Connecticut.,Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut.,Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Keunpoong Lim
- Yale PET Center, Yale University School of Medicine, New Haven, Connecticut
| | - Shu-Fei Lin
- Yale PET Center, Yale University School of Medicine, New Haven, Connecticut
| | - Irina Esterlis
- Yale PET Center, Yale University School of Medicine, New Haven, Connecticut.,Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.,West Haven VA Hospital, National Center for PTSD, West Haven, Connecticut
| | - Richard E Carson
- Yale PET Center, Yale University School of Medicine, New Haven, Connecticut.,Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut
| | - Yiyun Huang
- Yale PET Center, Yale University School of Medicine, New Haven, Connecticut.,Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut
| | - Kelly P Cosgrove
- Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, Connecticut.,Yale PET Center, Yale University School of Medicine, New Haven, Connecticut.,Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut.,Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.,West Haven VA Hospital, National Center for PTSD, West Haven, Connecticut
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