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Wang YRJ, Yang K, Wen Y, Wang P, Hu Y, Lai Y, Wang Y, Zhao K, Tang S, Zhang A, Zhan H, Lu M, Chen X, Yang S, Dong Z, Wang Y, Liu H, Zhao L, Huang L, Li Y, Wu L, Chen Z, Luo Y, Liu D, Zhao P, Lin K, Wu JC, Zhao S. Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging. Nat Med 2024:10.1038/s41591-024-02971-2. [PMID: 38740996 DOI: 10.1038/s41591-024-02971-2] [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] [Received: 07/19/2023] [Accepted: 04/03/2024] [Indexed: 05/16/2024]
Abstract
Cardiac magnetic resonance imaging (CMR) is the gold standard for cardiac function assessment and plays a crucial role in diagnosing cardiovascular disease (CVD). However, its widespread application has been limited by the heavy resource burden of CMR interpretation. Here, to address this challenge, we developed and validated computerized CMR interpretation for screening and diagnosis of 11 types of CVD in 9,719 patients. We propose a two-stage paradigm consisting of noninvasive cine-based CVD screening followed by cine and late gadolinium enhancement-based diagnosis. The screening and diagnostic models achieved high performance (area under the curve of 0.988 ± 0.3% and 0.991 ± 0.0%, respectively) in both internal and external datasets. Furthermore, the diagnostic model outperformed cardiologists in diagnosing pulmonary arterial hypertension, demonstrating the ability of artificial intelligence-enabled CMR to detect previously unidentified CMR features. This proof-of-concept study holds the potential to substantially advance the efficiency and scalability of CMR interpretation, thereby improving CVD screening and diagnosis.
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Affiliation(s)
| | - Kai Yang
- Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi Wen
- Changhong AI Research (CHAIR), Sichuan Changhong Electronics Holding Group, Mianyang, China
| | - Pengcheng Wang
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
| | - Yuepeng Hu
- Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA
| | - Yongfan Lai
- School of Engineering, University of Science and Technology of China, Hefei, China
| | - Yufeng Wang
- Department of Computer Science, Stony Brook University, New York, NY, USA
| | - Kankan Zhao
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
| | - Siyi Tang
- School of Medicine, Stanford University, Stanford, CA, USA
- Department of Electrical Engineering, Stanford University, Stanford, CA, USA
| | - Angela Zhang
- School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Cardiovascular Institute, School of Medicine (Division of Cardiology), Stanford University, Stanford, CA, USA
| | - Huayi Zhan
- Changhong AI Research (CHAIR), Sichuan Changhong Electronics Holding Group, Mianyang, China
| | - Minjie Lu
- Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiuyu Chen
- Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shujuan Yang
- Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhixiang Dong
- Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yining Wang
- Peking Union Medical College Hospital, Beijing, China
| | - Hui Liu
- Guangdong Provincial People's Hospital, Guangzhou, China
| | - Lei Zhao
- Beijing Anzhen Hospital, Beijing, China
| | | | - Yunling Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | | | - Zixian Chen
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Yi Luo
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Dongbo Liu
- Changhong AI Research (CHAIR), Sichuan Changhong Electronics Holding Group, Mianyang, China
| | - Pengbo Zhao
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA
| | - Keldon Lin
- Mayo Clinic Alix School of Medicine, Phoenix, AZ, USA
| | - Joseph C Wu
- School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Cardiovascular Institute, School of Medicine (Division of Cardiology), Stanford University, Stanford, CA, USA
| | - Shihua Zhao
- Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Yang HJ, Nguyen C, Huang LT. Editorial for "Adolescent Reference Values for MR-Derived Biventricular Strain Obtained Using Feature-Tracking and Myocardial Tagging". J Magn Reson Imaging 2024. [PMID: 38703126 DOI: 10.1002/jmri.29432] [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] [Received: 03/13/2024] [Revised: 04/19/2024] [Accepted: 04/22/2024] [Indexed: 05/06/2024] Open
Affiliation(s)
- Hsin-Jung Yang
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, California, USA
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Christopher Nguyen
- Cardiovascular Innovation Research Center, Heart Vascular Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Cardiovascular Medicine, Heart Vascular Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Diagnostic Radiology, Diagnostic Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic and Case Western Reserve University, Cleveland, Ohio, USA
| | - Li-Ting Huang
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, California, USA
- Department of Medical Imaging, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
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Chen H, Huang L, Xing B, Gao Y, Zhang J, Zhang B. Prognostic value of right ventricular free wall strain in patients with sepsis. Front Cardiovasc Med 2024; 11:1334759. [PMID: 38450378 PMCID: PMC10915020 DOI: 10.3389/fcvm.2024.1334759] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 02/05/2024] [Indexed: 03/08/2024] Open
Abstract
Background Right ventricular systolic dysfunction (RVSD) in patients with sepsis is an area of growing interest, but its prognostic significance remains unclear and additional tools are needed to improve our understanding. Right ventricular free wall strain (RV-FWS) is a relatively new parameter to assess RV function. This study aimed to investigate the potential correlation between impaired RV-FWS and prognostic outcomes in patients with sepsis. Methods We prospectively assessed right ventricular function in patients with sepsis within the initial 24 h of their hospital admission. RV-FWS, right ventricular global strain (RV-GS), fractional area change (FAC), and tricuspid annular plane systolic excursion (TAPSE) were examined. RVSD was defined as impaired RV-FWS. Moreover, the association between RVSD and 30-day mortality rate was assessed. Results This study included 89 patients. Among them, 27 (30.3%) succumbed to their illness within 30 days. The nonsurviving patients demonstrated significantly lower absolute RV-FWS (-19.7% ± 2.4% vs. -21.1% ± 2.1%, P = 0.008) and RV-GS (-17.7% ± 1.2% vs. -18.4% ± 1.4%, P = 0.032) values than the surviving patients. However, TAPSE and FAC values were not significantly different between the two groups. The optimal cutoff values for RV-FWS, RV-GS, FAC, and TAPSE were -19.0%, -17.9%, 36.5%, and 1.55 cm, respectively. Kaplan-Meier survival curves revealed that patients with impaired RV-FWS and RV-GS demonstrated lower 30-day survival rates, and the predictive performance of RV-FWS (hazard ratio [HR]: 3.97, 95% confidence interval [CI]: 1.85-8.51, P < 0.001) was slightly higher than FAC and TAPSE. However, multivariable Cox regression analysis revealed no association between impaired RV-FWS and mortality outcomes (HR: 1.85, 95% CI: 0.56-6.14, P = 0.316). Conclusions Impaired RV-FWS is not associated with short-term mortality outcomes, and RV strain imaging is of limited value in assessing the prognosis of sepsis.
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Affiliation(s)
- Hongmin Chen
- Department of Ultrasound, The First College of Clinical Medical Science, China Three Gorges University and Yichang Central People’s Hospital, Yichang, China
| | - Lei Huang
- Department of Critical Care Medicine, The First College of Clinical Medical Science, China Three Gorges University and Yichang Central People’s Hospital, Yichang, China
| | - Boyuan Xing
- Department of Ultrasound, The First College of Clinical Medical Science, China Three Gorges University and Yichang Central People’s Hospital, Yichang, China
| | - Yang Gao
- Department of Ultrasound, The First College of Clinical Medical Science, China Three Gorges University and Yichang Central People’s Hospital, Yichang, China
| | - Jie Zhang
- Department of Ultrasound, The First College of Clinical Medical Science, China Three Gorges University and Yichang Central People’s Hospital, Yichang, China
| | - Bingyi Zhang
- Department of Ultrasound, The First College of Clinical Medical Science, China Three Gorges University and Yichang Central People’s Hospital, Yichang, China
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Yuan M, Zhang J. Image and Clinical Characteristics of the Right Coronary Artery Originating From the Left Coronary Sinus: A Database Review. Cardiol Rev 2024:00045415-990000000-00216. [PMID: 38363130 DOI: 10.1097/crd.0000000000000669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
This article systematically explores the imaging and clinical characteristics of a relatively rare cardiac anomaly: the right coronary artery originating from the left coronary sinus. Through a comprehensive analysis of existing literature, this study aims to provide a comprehensive understanding of the prevalence, diagnostic methods, and potential clinical implications of this anatomical variation. Anatomical classification is introduced, along with clinical imaging diagnostic methods, including coronary angiography, computed tomography, and magnetic resonance imaging. Additionally, the review delves into the clinical significance of this anomaly, including its potential associations with myocardial ischemia, arrhythmias, and acute cardiac events, outlining clinical approaches to diagnosing myocardial ischemia. The study results consolidate current knowledge about this cardiac variation, emphasizing the importance of recognizing and appropriately managing it in clinical practice.
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Affiliation(s)
- Mingyuan Yuan
- From the Department of Radiology, Affiliated Zhoupu Hospital, Shanghai University of Medicine & Health Sciences, Shanghai, China
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Bao C, Shi L, Wen Y, Liu X, You G. Trends in the Incidence and Mortality Rates of Myocarditis in the Chinese Population During 1990-2019: Joinpoint Regression and Age-Period-Cohort Analysis. Anatol J Cardiol 2024; 28:165-172. [PMID: 38327190 PMCID: PMC10918279 DOI: 10.14744/anatoljcardiol.2023.3569] [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: 07/14/2023] [Accepted: 12/21/2023] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND This study aimed to analyze trends in the burden of myocarditis in the Chinese population during 1990-2019. METHODS The Global Burden of Disease (GBD) database aims to assess the burden of various diseases and injuries on a global scale, and the contribution of relevant risk factors to the burden of disease was also included. In this study, we collected age-standardized incidence and mortality rates for myocarditis in China from 1990 to 2019 using GBD 2019. The age-period-cohort model was utilized to calculate local drift, longitudinal age patterns, as well as the ratios of period and cohort. RESULTS The age-standardized incidence and mortality rates of myocarditis in both men and women presented a decreasing trend during 1990-2019 [average annual percentage change (AAPC) of men = -0.202 (95% CI: -0.213 to -0.191); AAPC of women = -0.263 (95% CI: -0.27 to -0.256) for incidence; AAPC of men = -0.233 (95% CI: -0.371 to -0.094); AAPC of women = -0.872 (95% CI: -1.112 to -0.631) for mortality]. Longitudinal age curves showed that myocarditis incidence and mortality rates elevated with age among individuals aged 15-95+ years, with a higher growth rate in men than in women. The period and cohort ratios for both men and women showed similar decreasing trends. Local drift values for the incidence and mortality rates of myocarditis showed an increasing trend among individuals aged 70-75 years and above. CONCLUSION Although the overall burden of myocarditis in China presented a decreasing trend during 1990-2019, the male and elderly populations still have a higher risk of incidence and mortality. Therefore, it is essential for the health-care system to introduce effective prevention and treatment measures for myocarditis.
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Affiliation(s)
- Chenglu Bao
- Department of Cardiology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
| | - Lang Shi
- Department of Cardiology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
| | - Ya Wen
- Department of Cardiology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
| | - Xuehui Liu
- Department of Cardiology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
| | - Guiying You
- Department of Cardiology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
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Cho DH, Son JW, Kim YI, Lim J, Jeon HS, Ko SM, Cha YS. Clinical and Echocardiographic Predictors for the Presence of Late Gadolinium Enhancement on Cardiac Magnetic Resonance Imaging in Patients with Carbon Monoxide Poisoning. Diagnostics (Basel) 2023; 14:60. [PMID: 38201369 PMCID: PMC10795751 DOI: 10.3390/diagnostics14010060] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 12/12/2023] [Accepted: 12/25/2023] [Indexed: 01/12/2024] Open
Abstract
Late gadolinium enhancement (LGE) on cardiac magnetic resonance imaging (CMRI) reflects the burden of myocardial damage in carbon monoxide (CO) poisoning. This study aimed to identify the clinical and echocardiographic parameters that can predict myocardial LGE on CMRI in CO poisoning. This prospective observational study included patients who presented with acute CO poisoning and elevated troponin I and underwent echocardiography and CMRI to identify myocardial damage at a tertiary university hospital between August 2017 and May 2019 and August 2020 and July 2022. Based on the CMRI findings, participants were categorized into LGE and non-LGE groups. The median age of the 155 patients was 51.0 years, and 98 (63.2%) were males. Median times from emergency department arrival to either CMRI or echocardiography were 3.0 days each. The LGE group included 99 (63.9%) patients with LGE positivity on CMRIs. Time from rescue to hyperbaric oxygen therapy >4 h (odds ratio (OR): 3.31, 95% confidence interval (CI): 1.28-8.56, p = 0.01); serum lactate levels >2 mmol/L (OR: 2.62, 95% CI: 1.20-5.73, p = 0.02); and left ventricular global longitudinal strain >-16% (OR: 2.95, 95% CI: 1.35-6.47, p = 0.007) were significant predictors of LGE positivity. The area under the curve of these predictors was 0.711. Our prediction model, which combines the clinical parameters with left ventricular global longitudinal strain, may be helpful in the early detection of LGE positivity.
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Affiliation(s)
- Dong-Hyuk Cho
- Department of Cardiology, Korea University College of Medicine, Seoul 26426, Republic of Korea;
| | - Jung-Woo Son
- Division of Cardiology, Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju 26493, Republic of Korea; (J.-W.S.); (Y.I.K.); (H.-S.J.)
| | - Young In Kim
- Division of Cardiology, Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju 26493, Republic of Korea; (J.-W.S.); (Y.I.K.); (H.-S.J.)
| | - Jihye Lim
- Department of Biostatistics and Center of Biomedical Data Science, Yonsei University Wonju College of Medicine, Wonju 26493, Republic of Korea;
| | - Ho-Sung Jeon
- Division of Cardiology, Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju 26493, Republic of Korea; (J.-W.S.); (Y.I.K.); (H.-S.J.)
| | - Sung Min Ko
- Department of Radiology, Yonsei University Wonju College of Medicine, Wonju 26493, Republic of Korea;
| | - Yong Sung Cha
- Department of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju 26493, Republic of Korea
- Research Institute of Hyperbaric Medicine and Science, Yonsei University Wonju College of Medicine, Wonju 26493, Republic of Korea
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Halvorsrød MI, Thorstensen A, Kiss G, Støylen A. Segmental myocardial viability by echocardiography at rest. SCAND CARDIOVASC J 2023; 57:2181390. [PMID: 38095169 DOI: 10.1080/14017431.2023.2181390] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 02/12/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND Myocardial viability assessment adds value to the therapeutic decision-making of patients with ischemic heart disease. In this feasibility study, we investigated whether established echocardiographic measurements of post-systolic shortening (PSS), strain, strain rate and wall motion score (WMS) can discover viable myocardial segments. Our hypothesis is that non-viable myocardial segments are both akinetic and without PSS. METHODS The study population consisted of 26 examinations strictly selected by visible dysfunction. We assessed WMS, strain by speckle tracking and strain rate by tissue Doppler. The segments (16*26 = 416) were categorized into either normokinetic/hypokinetic or akinetic/dyskinetic and whether there was PSS. The reference method was the presence of scar with segmental percentage volume scar fraction >50%, detected by late gadolinium-enhanced cardiovascular magnetic resonance. Agreement with echocardiography was evaluated by Kappa coefficient. RESULTS WMS had Kappa coefficient 0.43 (sensitivity 99%, specificity 35%). Kappa coefficient of strain was 0.28 (sensitivity 98%, specificity 23%). By combining PSS in akinetic segments with WMS and strain, the Kappa coefficient was 0.06 and 0.08 respectively. CONCLUSION Segmental viability was best shown by the presence of systolic function. Post-systolic shortening adds no value to the assessment of segmental myocardial viability.
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Affiliation(s)
- Marlene Iversen Halvorsrød
- Department of Circulation and Medical Imaging (ISB), Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Clinic of Cardiology, St. Olavs University Hospital, Trondheim, Norway
| | - Anders Thorstensen
- Department of Circulation and Medical Imaging (ISB), Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Clinic of Cardiology, St. Olavs University Hospital, Trondheim, Norway
| | - Gabriel Kiss
- St. Olavs University Hospital, Trondheim, Norway
- Department of Computer Science (IDI), Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Asbjørn Støylen
- Department of Circulation and Medical Imaging (ISB), Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Clinic of Cardiology, St. Olavs University Hospital, Trondheim, Norway
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Tijmes FS, Marschner C, Thavendiranathan P, Hanneman K. Magnetic Resonance Imaging of Cardiovascular Manifestations Following COVID-19. J Magn Reson Imaging 2023; 58:26-43. [PMID: 36951477 DOI: 10.1002/jmri.28677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 02/27/2023] [Accepted: 03/05/2023] [Indexed: 03/24/2023] Open
Abstract
Globally, over 650 million people have had COVID-19 due to infection with the SARS-Cov-2 virus. Cardiac complications in the acute infectious and early recovery phase were recognized early in the pandemic, including myocardial injury and inflammation. With a decrease in the number of acute COVID-19 related deaths, there has been increased interest in postacute sequela of COVID-19 (PASC) and other longer-term cardiovascular complications. A proportion of patients recovered from COVID-19 have persistent cardiac symptoms and are at risk of cardiovascular disease. Cardiovascular imaging, including MRI, plays an important role in the detection of cardiovascular manifestations of COVID-19 in both the acute and longer-term phases after COVID-19. The purpose of this review is to highlight the role of cardiovascular imaging in the diagnosis and risk stratification of patients with acute and chronic cardiovascular manifestations of COVID-19 with a focus on cardiac MRI. EVIDENCE LEVEL: 4. TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Felipe Sanchez Tijmes
- University Medical Imaging Toronto, Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
- Department of Medical Imaging, Toronto General Hospital, Peter Munk Cardiac Center, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada
- Department of Medical Imaging, Clinica Santa Maria, Universidad de los Andes, Santiago, Chile
| | - Constantin Marschner
- University Medical Imaging Toronto, Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
- Department of Medical Imaging, Clinica Santa Maria, Universidad de los Andes, Santiago, Chile
| | - Paaladinesh Thavendiranathan
- Department of Medical Imaging, Toronto General Hospital, Peter Munk Cardiac Center, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada
- Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada
| | - Kate Hanneman
- University Medical Imaging Toronto, Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
- Department of Medical Imaging, Toronto General Hospital, Peter Munk Cardiac Center, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada
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Omidi A, Weiss E, Trankle CR, Rosu-Bubulac M, Wilson JS. Quantitative assessment of radiotherapy-induced myocardial damage using MRI: a systematic review. Cardiooncology 2023; 9:24. [PMID: 37202766 DOI: 10.1186/s40959-023-00175-0] [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] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 04/25/2023] [Indexed: 05/20/2023]
Abstract
PURPOSE To determine the role of magnetic resonance imaging (MRI)-based metrics to quantify myocardial toxicity following radiotherapy (RT) in human subjects through review of current literature. METHODS Twenty-one MRI studies published between 2011-2022 were identified from available databases. Patients received chest irradiation with/without other treatments for various malignancies including breast, lung, esophageal cancer, Hodgkin's, and non-Hodgkin's lymphoma. In 11 longitudinal studies, the sample size, mean heart dose, and follow-up times ranged from 10-81 patients, 2.0-13.9 Gy, and 0-24 months after RT (in addition to a pre-RT assessment), respectively. In 10 cross-sectional studies, the sample size, mean heart dose, and follow-up times ranged from 5-80 patients, 2.1-22.9 Gy, and 2-24 years from RT completion, respectively. Global metrics of left ventricle ejection fraction (LVEF) and mass/dimensions of cardiac chambers were recorded, along with global/regional values of T1/T2 signal, extracellular volume (ECV), late gadolinium enhancement (LGE), and circumferential/radial/longitudinal strain. RESULTS LVEF tended to decline at >20 years follow-up and in patients treated with older RT techniques. Changes in global strain were observed after shorter follow-up (13±2 months) for concurrent chemoradiotherapy. In concurrent treatments with longer follow-up (8.3 years), increases in left ventricle (LV) mass index were correlated with LV mean dose. In pediatric patients, increases in LV diastolic volume were correlated with heart/LV dose at 2 years post-RT. Regional changes were observed earlier post-RT. Dose-dependent responses were reported for several parameters, including: increased T1 signal in high-dose regions, a 0.136% increase of ECV per Gy, progressive increase of LGE with increasing dose at regions receiving >30 Gy, and correlation between increases in LV scarring volume and LV mean/V10/V25 Gy dose. CONCLUSION Global metrics only detected changes over longer follow-up, in older RT techniques, in concurrent treatments, and in pediatric patients. In contrast, regional measurements detected myocardial damage at shorter follow-up and in RT treatments without concurrent treatment and had greater potential for dose-dependent response. The early detection of regional changes suggests the importance of regional quantification of RT-induced myocardial toxicity at early stages, before damage becomes irreversible. Further works with homogeneous cohorts are required to examine this matter.
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Affiliation(s)
- Alireza Omidi
- Department of Radiation Oncology, Virginia Commonwealth University Health System, Richmond, VA, 23219, USA.
- Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA, USA.
| | - Elisabeth Weiss
- Department of Radiation Oncology, Virginia Commonwealth University Health System, Richmond, VA, 23219, USA
| | - Cory R Trankle
- Department of Internal Medicine, Virginia Commonwealth University Health System, Richmond, VA, USA
| | - Mihaela Rosu-Bubulac
- Department of Radiation Oncology, Virginia Commonwealth University Health System, Richmond, VA, 23219, USA
| | - John S Wilson
- Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA, USA
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10
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Yang T, Yuan X, Li B, Zhao S, Sun H, Lu M. Long-term outcomes after coronary artery bypass graft with or without surgical ventricular reconstruction in patients with severe left ventricular dysfunction. J Thorac Dis 2023; 15:1627-1639. [PMID: 37197557 PMCID: PMC10183509 DOI: 10.21037/jtd-22-1214] [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: 09/04/2022] [Accepted: 02/10/2023] [Indexed: 03/29/2023]
Abstract
Background Patients with chronic myocardial infarction (MI) and severe left ventricular (LV) dysfunction have poor clinical outcomes. This study aimed to determine whether coronary artery bypass graft (CABG) with surgical ventricular reconstruction (SVR) leads to further improvement in long-term patient outcomes compared with isolated CABG (I-CABG). Methods From April 2010 to June 2013, 140 consecutive patients with chronic MI and severe LV dysfunction who received contrast-enhanced cardiovascular magnetic resonance imaging (CE-CMR) within 1 month before surgery were enrolled in this study. The cardiovascular events (CVEs) and long-term survival of patients who underwent CABG and SVR were compared with those who met the criteria for SVR but received I-CABG. Results A total of 140 patients were included in the final analysis, including 70 patients who underwent CABG and SVR and 70 patients who underwent I-CABG. No differences were observed in the baseline characteristics, LV function, and late gadolinium enhancement (LGE) between the two groups. CABG+SVR patients experienced a longer cardiopulmonary bypass (CPB) time (116.0±35.0 vs. 100.2±23.8 minutes, P=0.002) and ventilation time [median (interquartile range): 22.0 (17.0, 37.0) vs. 20.0 (15.0, 24.0) hours, P=0.019] than I-CABG patients. During a mean follow-up of 123.1±12.7 months (range, 102-140 months), the CABG+SVR group had fewer rehospitalizations for congestive heart failure (CHF) (4.3% vs. 19.1%, P=0.007), but no statistical difference in the mortality rate was observed (2.9% vs. 4.4%, P=0.987). The cumulative CVE-free survival rate was significantly higher in CABG+SVR patients (87.0% vs. 67.6%, P=0.007). Conclusions Our findings indicated that patients with chronic MI and severe LV dysfunction experienced similar perioperative outcomes after CABG+SVR or I-CABG. However, the CABG+SVR group resulted in fewer rehospitalizations for CHF and a higher cumulative CVE-free survival rate.
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Affiliation(s)
- Tao Yang
- Department of Cardiovascular Surgery, Cardiovascular Institute and Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Xin Yuan
- Department of Cardiovascular Surgery, Cardiovascular Institute and Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Baotong Li
- Department of Cardiovascular Surgery, Cardiovascular Institute and Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Shihua Zhao
- Department of Magnetic Resonance Imaging, Cardiovascular Institute and Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Hansong Sun
- Department of Cardiovascular Surgery, Cardiovascular Institute and Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Minjie Lu
- Department of Magnetic Resonance Imaging, Cardiovascular Institute and Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
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Kaemmerer AS, Alkhalaileh K, Suleiman MN, Kopp M, Hauer C, May MS, Uder M, Weyand M, Harig F. Pericardial tamponade, a diagnostic chameleon: from the historical perspectives to contemporary management. J Cardiothorac Surg 2023; 18:60. [PMID: 36739433 PMCID: PMC9898697 DOI: 10.1186/s13019-023-02174-9] [Citation(s) in RCA: 1] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 01/28/2023] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Pericardial tamponade (PT) early after cardiac surgery is a challenging clinical entity, not infrequently misrecognized and often only detected late in its course. Because the clinical signs of pericardial tamponade can be very unspecific, a high degree of initial suspicion is required to establish the diagnosis. In addition to clinical examination the deployment of imaging techniques is almost always mandatory in order to avoid delays in diagnosis and to initiate any necessary interventions, such as pericardiocentesis or direct cardiac surgical interventions. After a brief overview of how knowledge of PT has developed throughout history, we report on an atypical life-threatening cardiac tamponade after cardiac surgery. A 74-year-old woman was admitted for elective biological aortic valve replacement and aorto-coronary-bypass grafting (left internal mammary artery to left anterior descending artery, single vein graft to right coronary artery). On the 10th postoperative day, the patient unexpectedly deteriorated. She rapidly developed epigastric pain radiating to the left upper abdomen, and features of low peripheral perfusion and shock. There were no clear signs of pericardial tamponade either clinically or echocardiographically. Therefore, for further differential diagnosis, a contrast-enhanced computed tomography scan was performed under clinical suspicion of acute abdomen. Unexpectedly, active bleeding distally from the right coronary anastomosis was revealed. While the patient was prepared for operative revision, she needed cardiopulmonary resuscitation, which was successful. Intraoperatively, the source of bleeding was located and surgically relieved. The subsequent postoperative course was uneventful. CONCLUSIONS In the first days after cardiac surgery, the occurrence of life-threatening situations, such as cardiac tamponade, must be expected. Especially if the symptoms are atypical, the entire diagnostic armamentarium must be applied to identify the origin of the complaints, which may be cardiac, but also non-cardiac. CENTRAL MESSAGE A high level of suspicion, immediate diagnostic confirmation, and rapid treatment are required to recognize and successfully treat such an emergency (Fig. 5). PERSPECTIVE Pericardial tamponade should always be considered as a complication of cardiac surgery, even when symptoms are atypical. The full range of diagnostic tools must be used to identify the origin of the complaints, which may be cardiac, but also non-cardiac (Fig. 5).
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Affiliation(s)
- Ann-Sophie Kaemmerer
- grid.5330.50000 0001 2107 3311Department of Cardiac Surgery, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Krankenhausstrasse 12, 91054 Erlangen, Germany
| | - Khaleel Alkhalaileh
- grid.5330.50000 0001 2107 3311Department of Cardiac Surgery, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Krankenhausstrasse 12, 91054 Erlangen, Germany
| | - Mathieu N. Suleiman
- grid.5330.50000 0001 2107 3311Department of Cardiac Surgery, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Krankenhausstrasse 12, 91054 Erlangen, Germany
| | - Markus Kopp
- grid.5330.50000 0001 2107 3311Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | - Christine Hauer
- grid.5330.50000 0001 2107 3311Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | - Matthias S. May
- grid.5330.50000 0001 2107 3311Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | - Michael Uder
- grid.5330.50000 0001 2107 3311Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | - Michael Weyand
- grid.5330.50000 0001 2107 3311Department of Cardiac Surgery, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Krankenhausstrasse 12, 91054 Erlangen, Germany
| | - Frank Harig
- grid.5330.50000 0001 2107 3311Department of Cardiac Surgery, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Krankenhausstrasse 12, 91054 Erlangen, Germany
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12
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Pillinger T, Osimo EF, de Marvao A, Shah M, Francis C, Huang J, D'Ambrosio E, Firth J, Nour MM, McCutcheon RA, Pardiñas AF, Matthews PM, O'Regan DP, Howes OD. Effect of polygenic risk for schizophrenia on cardiac structure and function: a UK Biobank observational study. Lancet Psychiatry 2023; 10:98-107. [PMID: 36632818 DOI: 10.1016/s2215-0366(22)00403-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 11/03/2022] [Accepted: 11/18/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND Cardiovascular disease is a major cause of excess mortality in people with schizophrenia. Several factors are responsible, including lifestyle and metabolic effects of antipsychotics. However, variations in cardiac structure and function are seen in people with schizophrenia in the absence of cardiovascular disease risk factors and after accounting for lifestyle and medication. Therefore, we aimed to explore whether shared genetic causes contribute to these cardiac variations. METHODS For this observational study, we used data from the UK Biobank and included White British or Irish individuals without diagnosed schizophrenia with variable polygenic risk scores for the condition. To test the association between polygenic risk score for schizophrenia and cardiac phenotype, we used principal component analysis and regression. Robust regression was then used to explore the association between the polygenic risk score for schizophrenia and individual cardiac phenotypes. We repeated analyses with fibro-inflammatory pathway-specific polygenic risk scores for schizophrenia. Last, we investigated genome-wide sharing of common variants between schizophrenia and cardiac phenotypes using linkage disequilibrium score regression. The primary outcome was principal component regression. FINDINGS Of 33 353 individuals recruited, 32 279 participants had complete cardiac MRI data and were included in the analysis, of whom 16 625 (51·5%) were female and 15 654 (48·5%) were male. 1074 participants were excluded on the basis of incomplete cardiac MRI data (for all phenotypes). A model regressing polygenic risk scores for schizophrenia onto the first five cardiac principal components of the principal components analysis was significant (F=5·09; p=0·00012). Principal component 1 captured a pattern of increased cardiac volumes, increased absolute peak diastolic strain rates, and reduced ejection fractions; polygenic risk scores for schizophrenia and principal component 1 were negatively associated (β=-0·01 [SE 0·003]; p=0·017). Similar to the principal component analysis results, for individual cardiac phenotypes, we observed negative associations between polygenic risk scores for schizophrenia and indexed right ventricular end-systolic volume (β=-0·14 [0·04]; p=0·0013, pFDR=0·015), indexed right ventricular end-diastolic volume (β=-0·17 [0·08]); p=0·025; pFDR=0·082), and absolute longitudinal peak diastolic strain rates (β=-0·01 [0·003]; p=0·0024, pFDR=0·015), and a positive association between polygenic risk scores for schizophrenia and right ventricular ejection fraction (β=0·09 [0·03]; p=0·0041, pFDR=0·015). Models examining the transforming growth factor-β (TGF-β)-specific and acute inflammation-specific polygenic risk scores for schizophrenia found significant associations with the first five principal components (F=2·62, p=0·022; F=2·54, p=0·026). Using linkage disequilibrium score regression, we observed genetic overlap with schizophrenia for right ventricular end-systolic volume and right ventricular ejection fraction (p=0·0090, p=0·0077). INTERPRETATION High polygenic risk scores for schizophrenia are associated with decreased cardiac volumes, increased ejection fractions, and decreased absolute peak diastolic strain rates. TGF-β and inflammatory pathways might be implicated, and there is evidence of genetic overlap for some cardiac phenotypes. Reduced absolute peak diastolic strain rates indicate increased myocardial stiffness and diastolic dysfunction, which increases risk of cardiac disease. Thus, genetic risk for schizophrenia is associated with cardiac structural changes that can worsen cardiac outcomes. Further work is required to determine whether these associations are specific to schizophrenia or are also seen in other psychiatric conditions. FUNDING National Institute for Health Research, Maudsley Charity, Wellcome Trust, Medical Research Council, Academy of Medical Sciences, Edmond J Safra Foundation, British Heart Foundation.
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Affiliation(s)
- Toby Pillinger
- Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, King's College London, London, UK; Psychiatric Imaging Group, Imperial College London, London, UK.
| | - Emanuele F Osimo
- Department of Psychiatry, University of Cambridge, Cambridge, UK; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK; Psychiatric Imaging Group, Imperial College London, London, UK
| | - Antonio de Marvao
- British Heart Foundation Centre of Research Excellence, School of Cardiovascular Medicine and Sciences, King's College London, London, UK; Department of Women and Children's Health, King's College London, London, UK
| | - Mit Shah
- Computational Cardiac Imaging Group, Imperial College London, London, UK
| | - Catherine Francis
- MRC London Institute of Medical Sciences, Department of Cardiovascular Genetics and Genomics, National Heart and Lung Institute, Imperial College London, London, UK; Royal Brompton Hospital, Royal Brompton and Harefield NHS Foundation Trust, Uxbridge, UK
| | - Jian Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK; Singapore Institute for Clinical Sciences (SICS), the Agency for Science, Technology and Research (A*STAR), Singapore
| | - Enrico D'Ambrosio
- Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, King's College London, London, UK; Department of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari 'Aldo Moro', Italy
| | - Joseph Firth
- Division of Psychology and Mental Health, University of Manchester, and Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Matthew M Nour
- Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, King's College London, London, UK; Max Planck University College London Centre for Computational Psychiatry and Ageing Research, and Wellcome Trust Centre for Human Neuroimaging, University College London, London, UK; Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Robert A McCutcheon
- Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, King's College London, London, UK; Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Antonio F Pardiñas
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Paul M Matthews
- Department of Brain Sciences and UK Dementia Research Institute Centre, Imperial College London, London, UK
| | - Declan P O'Regan
- Computational Cardiac Imaging Group, Imperial College London, London, UK
| | - Oliver D Howes
- Department of Psychological Medicine, King's College London, London, UK; Psychiatric Imaging Group, Imperial College London, London, UK; H Lundbeck A/S, St Albans, UK
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13
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Zhu J, Li W, Chen F, Xie Z, Zhuo K, Huang R. Impact of glycemic control on biventricular function in patients with type 2 diabetes mellitus: a cardiac magnetic resonance tissue tracking study. Insights Imaging 2023; 14:7. [PMID: 36630007 PMCID: PMC9833026 DOI: 10.1186/s13244-022-01357-7] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 12/13/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Poor glycemic control is associated with left ventricular (LV) dysfunction in patients with type 2 diabetes mellitus (T2DM). Nonetheless, the association between glycemic control and right ventricular (RV) function in T2DM has not been studied. This study aimed to evaluate the correlation between glycemic control and biventricular function and assess whether one ventricular function was mediated by the other ventricular changes using cardiac magnetic resonance. MATERIALS AND METHODS A total of 91 T2DM patients with normal ejection fraction were enrolled and divided into two groups according to glycated hemoglobin (HbA1c) with a cut off 7%. Twenty controls were included. Biventricular ventricular strain parameters, including global peak systolic radial strain, global peak systolic circumferential strain (GCS), global peak systolic longitudinal strain (GLS), peak diastolic radial strain rate (RSR), peak diastolic circumferential strain rate (CSR) and peak diastolic longitudinal strain rate (LSR) were measured. RESULTS Compared with controls, patients with both HbA1c < 7% and HbA1c ≥ 7% showed significantly lower LVGCS, LVGLS, LVCSR, LVLSR, RVGLS, RVRSR, RVCSR and RVLSR. Patients with HbA1c ≥ 7% elicited significantly higher RVGCS than controls and lower LVGLS, LVCSR, LVLSR, RVGLS and RVLSR. Multivariable linear regression demonstrated that HbA1c was independently associated with LVGLS, LVLSR, RVGLS and RVLSR after adjustment for traditional risk factors. LV (RV) was not statistically mediated by the other ventricular alterations. CONCLUSION In T2DM patients, glycemic control was independently associated with impaired LV and RV systolic and diastolic function and these associations were not mediated by the other ventricular changes.
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Affiliation(s)
- Jing Zhu
- grid.414880.1Department of Radiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610041 China
| | - Wenjia Li
- grid.414880.1Department of Radiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610041 China
| | - Fang Chen
- Department of Neurology, Xindu District People’s Hospital of Chengdu, Chengdu, 610041 China
| | - Zhen Xie
- grid.414880.1Department of Radiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610041 China
| | - Kaimin Zhuo
- grid.414880.1Department of Radiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610041 China
| | - Ruijue Huang
- Department of Basic Medicine, Hainan Vocational University of Science and Technology, Haikou, 570100 China
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14
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Blusztein DI, Hahn RT. New therapeutic approach for tricuspid regurgitation: Transcatheter tricuspid valve replacement or repair. Front Cardiovasc Med 2023; 10:1080101. [PMID: 36910541 PMCID: PMC9995444 DOI: 10.3389/fcvm.2023.1080101] [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: 10/25/2022] [Accepted: 01/27/2023] [Indexed: 02/25/2023] Open
Abstract
The tricuspid valve is a complex structure with normal function dependent on the leaflet morphology, right atrial and annular dynamics, and right ventricular and chordal support. Thus, the pathophysiology of tricuspid regurgitation (TR) is equally complex and current medical and surgical management options are limited. Transcatheter devices are currently being investigated as possible treatment options with lower morbidity and mortality than open surgical procedures. These devices can be divided by their implant location/mechanism of action: leaflet approximation devices, annuloplasty devices, orthotopic valve implants, and heterotopic valve implants. The current review will discuss each class of transcatheter device therapy, and further delve into the current understanding of who and when to treat. Finally, we will include a brief discussion of the future of device and surgical therapy trials for TR and the remaining questions to answer about this complex disease process.
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Affiliation(s)
- David I Blusztein
- Division of Cardiology, Columbia University Irving Medical Center, New York, NY, United States
| | - Rebecca T Hahn
- Division of Cardiology, Columbia University Irving Medical Center, New York, NY, United States
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15
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Pica S, Crimi G, Castelvecchio S, Pazzanese V, Palmisano A, Lombardi M, Tondi L, Esposito A, Ameri P, Canale C, Cappelletti A, Alberti LP, Tavano D, Camporotondo R, Costantino I, Campodonico J, Pontone G, Villani A, Gallone GP, Montone RA, Niccoli G, Gargiulo P, Punzo B, Vicenzi M, Carugo S, Menicanti L, Ambrosio G, Camici PG. Cardiac magnetic resonance predictors of left ventricular remodelling following acute ST elevation myocardial infarction: The VavirimS study. Int J Cardiol 2023; 370:8-17. [PMID: 36351542 DOI: 10.1016/j.ijcard.2022.11.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 10/30/2022] [Accepted: 11/02/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND Left ventricular (LV) remodelling (REM) ensuing after ST-elevation myocardial infarction (STEMI), has typically been studied by echocardiography, which has limitations, or cardiac magnetic resonance (CMR) in early phase that may overestimate infarct size (IS) due to tissue edema and stunning. This prospective, multicenter study investigated LV-REM performing CMR in the subacute phase, and 6 months after STEMI. METHODS AND RESULTS patients with first STEMI undergoing successful primary angioplasty were consecutively enrolled. CMR was done at 30-days and 6-months. Primary endpoint was prevalence at 6 months of LV-REM [≥12% increase in LV end-diastolic volume index (LV-REMEDV)]; LV-REM by end-systolic volume index increase ≥12% (LV-REMESV) was also calculated. Of 325 patients enrolled, 193 with a full set of research-quality CMR images were analyzed. LV-REMEDV and LV-REMESV were present in 36/193 (19%) and 34/193 (18%) patients, respectively. At follow up, LV ejection fraction (EF) improved in patients with or without LV-REMEDV, whilst it decreased in those with LV-REMESV (p < 0.001 for interaction). Considering predictors of LV-REM, IS in the highest tertile was clearly separated from the two lower tertiles. In LV-REMEDV, the highest tertile was associated with significantly higher LV-EDV, LV-ESV, and lower EF. CONCLUSIONS In a contemporary cohort of STEMI patients studied by CMR, prevalence of LV-REMEDV was lower than previously reported. Importantly, our data indicate that LV-REMEDV might not be "adverse" per se, but rather "compensatory", being associated with LV-EF improvement at follow-up. Conversely, LV-REMESV might be an "adverse" phenomenon associated with decreased LV-EF, driven by IS.
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Affiliation(s)
- Silvia Pica
- IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | - Gabriele Crimi
- Cardio-Thoraco-Vascular Department, IRCCS Policlinico San Martino and Department of Internal Medicine, University of Genoa, Genoa, Italy
| | | | | | - Anna Palmisano
- Vita Salute University and IRCCS San Raffaele Hospital, Milano, Italy; Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Lara Tondi
- IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | - Antonio Esposito
- Vita Salute University and IRCCS San Raffaele Hospital, Milano, Italy; Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Pietro Ameri
- Cardio-Thoraco-Vascular Department, IRCCS Policlinico San Martino and Department of Internal Medicine, University of Genoa, Genoa, Italy
| | - Claudia Canale
- Cardio-Thoraco-Vascular Department, IRCCS Policlinico San Martino and Department of Internal Medicine, University of Genoa, Genoa, Italy
| | | | | | | | - Rita Camporotondo
- Coronary Care Unit Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Ilaria Costantino
- Coronary Care Unit Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Jenness Campodonico
- Centro Cardiologico Monzino IRCCS and Cardiovascular Section, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Gianluca Pontone
- Centro Cardiologico Monzino IRCCS and Cardiovascular Section, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | | | | | - Rocco A Montone
- Department of Cardiovascular Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Giampaolo Niccoli
- Department of Cardiovascular Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy; Department of Medicine, University of Parma, Parma, Italy
| | - Paola Gargiulo
- Department of Advanced Biomedical Sciences, Federico II University, Napoli, Italy
| | | | - Marco Vicenzi
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Cardiovascular Disease Unit, Internal Medicine Department and Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - Stefano Carugo
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Cardiovascular Disease Unit, Internal Medicine Department and Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | | | - Giuseppe Ambrosio
- Cardiology, University of Perugia School of Medicine, Perugia, Italy
| | - Paolo G Camici
- Vita Salute University and IRCCS San Raffaele Hospital, Milano, Italy.
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16
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Li H, Chen Z, Kahn AM, Kligerman S, Narayan HK, Contijoch FJ. Deep learning automates detection of wall motion abnormalities via measurement of longitudinal strain from ECG-gated CT images. Front Cardiovasc Med 2022; 9:1009445. [PMID: 36588550 PMCID: PMC9797833 DOI: 10.3389/fcvm.2022.1009445] [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] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 11/28/2022] [Indexed: 12/16/2022] Open
Abstract
Introduction 4D cardiac CT (cineCT) is increasingly used to evaluate cardiac dynamics. While echocardiography and CMR have demonstrated the utility of longitudinal strain (LS) measures, measuring LS from cineCT currently requires reformatting the 4D dataset into long-axis imaging planes and delineating the endocardial boundary across time. In this work, we demonstrate the ability of a recently published deep learning framework to automatically and accurately measure LS for detection of wall motion abnormalities (WMA). Methods One hundred clinical cineCT studies were evaluated by three experienced cardiac CT readers to identify whether each AHA segment had a WMA. Fifty cases were used for method development and an independent group of 50 were used for testing. A previously developed convolutional neural network was used to automatically segment the LV bloodpool and to define the 2, 3, and 4 CH long-axis imaging planes. LS was measured as the perimeter of the bloodpool for each long-axis plane. Two smoothing approaches were developed to avoid artifacts due to papillary muscle insertion and texture of the endocardial surface. The impact of the smoothing was evaluated by comparison of LS estimates to LV ejection fraction and the fractional area change of the corresponding view. Results The automated, DL approach successfully analyzed 48/50 patients in the training cohort and 47/50 in the testing cohort. The optimal LS cutoff for identification of WMA was -21.8, -15.4, and -16.6% for the 2-, 3-, and 4-CH views in the training cohort. This led to correct labeling of 85, 85, and 83% of 2-, 3-, and 4-CH views, respectively, in the testing cohort. Per-study accuracy was 83% (84% sensitivity and 82% specificity). Smoothing significantly improved agreement between LS and fractional area change (R 2: 2 CH = 0.38 vs. 0.89 vs. 0.92). Conclusion Automated LV blood pool segmentation and long-axis plane delineation via deep learning enables automatic LS assessment. LS values accurately identify regional wall motion abnormalities and may be used to complement standard visual assessments.
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Affiliation(s)
- Hui Li
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States
| | - Zhennong Chen
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States
| | - Andrew M. Kahn
- Department of Medicine, Division of Cardiovascular Medicine, University of California, San Diego, La Jolla, CA, United States
| | - Seth Kligerman
- Department of Radiology, University of California, San Diego, La Jolla, CA, United States
| | - Hari K. Narayan
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, United States
| | - Francisco J. Contijoch
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States
- Department of Radiology, University of California, San Diego, La Jolla, CA, United States
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17
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Mitsas AC, Elzawawi M, Mavrogeni S, Boekels M, Khan A, Eldawy M, Stamatakis I, Kouris D, Daboul B, Gunkel O, Bigalke B, van Gisteren L, Almaghrabi S, Noutsias M. Heart Failure and Cardiorenal Syndrome: A Narrative Review on Pathophysiology, Diagnostic and Therapeutic Regimens-From a Cardiologist's View. J Clin Med 2022; 11. [PMID: 36498617 DOI: 10.3390/jcm11237041] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 11/22/2022] [Accepted: 11/25/2022] [Indexed: 12/04/2022] Open
Abstract
In cardiorenal syndrome (CRS), heart failure and renal failure are pathophysiologically closely intertwined by the reciprocal relationship between cardiac and renal injury. Type 1 CRS is most common and associated with acute heart failure. A preexistent chronic kidney disease (CKD) is common and contributes to acute kidney injury (AKI) in CRS type 1 patients (acute cardiorenal syndrome). The remaining CRS types are found in patients with chronic heart failure (type 2), acute and chronic kidney diseases (types 3 and 4), and systemic diseases that affect both the heart and the kidney (type 5). Establishing the diagnosis of CRS requires various tools based on the type of CRS, including non-invasive imaging modalities such as TTE, CT, and MRI, adjuvant volume measurement techniques, invasive hemodynamic monitoring, and biomarkers. Albuminuria and Cystatin C (CysC) are biomarkers of glomerular filtration and integrity in CRS and have a prognostic impact. Comprehensive "all-in-one" magnetic resonance imaging (MRI) approaches, including cardiac magnetic resonance imaging (CMR) combined with functional MRI of the kidneys and with brain MRI are proposed for CRS. Hospitalizations due to CRS and mortality are high. Timely diagnosis and initiation of effective adequate therapy, as well as multidisciplinary care, are pertinent for the improvement of quality of life and survival. In addition to the standard pharmacological heart failure medication, including SGLT2 inhibitors (SGLT2i), renal aspects must be strongly considered in the context of CRS, including control of the volume overload (diuretics) with special caution on diuretic resistance. Devices involved in the improvement of myocardial function (e.g., cardiac resynchronization treatment in left bundle branch block, mechanical circulatory support in advanced heart failure) have also shown beneficial effects on renal function.
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18
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Mabudian L, Jordan JH, Bottinor W, Hundley WG. Cardiac MRI assessment of anthracycline-induced cardiotoxicity. Front Cardiovasc Med 2022; 9:903719. [PMID: 36237899 PMCID: PMC9551168 DOI: 10.3389/fcvm.2022.903719] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 09/06/2022] [Indexed: 11/21/2022] Open
Abstract
The objective of this review article is to discuss how cardiovascular magnetic resonance (CMR) imaging measures left ventricular (LV) function, characterizes tissue, and identifies myocardial fibrosis in patients receiving anthracycline-based chemotherapy (Anth-bC). Specifically, CMR can measure LV ejection fraction (EF), volumes at end-diastole (LVEDV), and end-systole (LVESV), LV strain, and LV mass. Tissue characterization is accomplished through T1/T2-mapping, late gadolinium enhancement (LGE), and CMR perfusion imaging. Despite CMR’s accuracy and efficiency in collecting data about the myocardium, there are challenges that persist while monitoring a cardio-oncology patient undergoing Anth-bC, such as the presence of other cardiovascular risk factors and utility controversies. Furthermore, CMR can be a useful adjunct during cardiopulmonary exercise testing to pinpoint cardiovascular mediated exercise limitations, as well as to assess myocardial microcirculatory damage in patients undergoing Anth-bC.
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Affiliation(s)
- Leila Mabudian
- Division of Cardiology, Department of Internal Medicine, VCU School of Medicine, Richmond, VA, United States
| | - Jennifer H. Jordan
- Division of Cardiology, Department of Internal Medicine, VCU School of Medicine, Richmond, VA, United States
- Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA, United States
| | - Wendy Bottinor
- Division of Cardiology, Department of Internal Medicine, VCU School of Medicine, Richmond, VA, United States
| | - W. Gregory Hundley
- Division of Cardiology, Department of Internal Medicine, VCU School of Medicine, Richmond, VA, United States
- *Correspondence: W. Gregory Hundley,
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19
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Affiliation(s)
- Paul M Haydock
- Cardiology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Andrew S Flett
- Cardiology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
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20
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Sridi S, Nuñez-Garcia M, Sermesant M, Maillot A, Hamrani DE, Magat J, Naulin J, Laurent F, Montaudon M, Jaïs P, Stuber M, Cochet H, Bustin A. Improved myocardial scar visualization with fast free-breathing motion-compensated black-blood T 1-rho-prepared late gadolinium enhancement MRI. Diagn Interv Imaging 2022; 103:607-617. [PMID: 35961843 DOI: 10.1016/j.diii.2022.07.003] [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] [Received: 04/27/2022] [Revised: 07/12/2022] [Accepted: 07/19/2022] [Indexed: 11/19/2022]
Abstract
PURPOSE Clinical guidelines recommend the use of bright-blood late gadolinium enhancement (BR-LGE) for the detection and quantification of regional myocardial fibrosis and scar. This technique, however, may suffer from poor contrast at the blood-scar interface, particularly in patients with subendocardial myocardial infarction. The purpose of this study was to assess the clinical performance of a two-dimensional black-blood LGE (BL-LGE) sequence, which combines free-breathing T1-rho-prepared single-shot acquisitions with an advanced non-rigid motion-compensated patch-based reconstruction. MATERIALS AND METHODS Extended phase graph simulations and phantom experiments were performed to investigate the performance of the motion-correction algorithm and to assess the black-blood properties of the proposed sequence. Fifty-one patients (37 men, 14 women; mean age, 55 ± 15 [SD] years; age range: 19-81 years) with known or suspected cardiac disease prospectively underwent free-breathing T1-rho-prepared BL-LGE imaging with inline non-rigid motion-compensated patch-based reconstruction at 1.5T. Conventional breath-held BR-LGE images were acquired for comparison purposes. Acquisition times were recorded. Two readers graded the image quality and relative contrasts were calculated. Presence, location, and extent of LGE were evaluated. RESULTS BL-LGE images were acquired with full ventricular coverage in 115 ± 25 (SD) sec (range: 64-160 sec). Image quality was significantly higher on free-breathing BL-LGE imaging than on its breath-held BR-LGE counterpart (3.6 ± 0.7 [SD] [range: 2-4] vs. 3.9 ± 0.2 [SD] [range: 3-4]) (P <0.01) and was graded as diagnostic for 44/51 (86%) patients. The mean scar-to-myocardium and scar-to-blood relative contrasts were significantly higher on BL-LGE images (P < 0.01 for both). The extent of LGE was larger on BL-LGE (median, 5 segments [IQR: 2, 7 segments] vs. median, 4 segments [IQR: 1, 6 segments]) (P < 0.01), the method being particularly sensitive in segments with LGE involving the subendocardium or papillary muscles. In eight patients (16%), BL-LGE could ascertain or rule out a diagnosis otherwise inconclusive on BR-LGE. CONCLUSION Free-breathing T1-rho-prepared BL-LGE imaging with inline motion compensated reconstruction offers a promising diagnostic technology for the non-invasive assessment of myocardial injuries.
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Affiliation(s)
- Soumaya Sridi
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, 33000, Pessac, France.
| | - Marta Nuñez-Garcia
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France
| | - Maxime Sermesant
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France; INRIA, Université Côte d'Azur, Sophia Antipolis, 06902, Valbonne, France
| | - Aurélien Maillot
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France
| | - Dounia El Hamrani
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France
| | - Julie Magat
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France
| | - Jérôme Naulin
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France
| | - François Laurent
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, 33000, Pessac, France
| | - Michel Montaudon
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, 33000, Pessac, France
| | - Pierre Jaïs
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France; Department of Cardiac Electrophysiologhy, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, 33600, Pessac, France
| | - Matthias Stuber
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland; Center for Biomedical Imaging (CIBM), 1015, Lausanne, Switzerland
| | - Hubert Cochet
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, 33000, Pessac, France; IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France
| | - Aurélien Bustin
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, 33000, Pessac, France; IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland
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21
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Lydiard S, Pontré B, Lowe BS, Keall P. Atrial fibrillation cardiac radioablation target visibility on magnetic resonance imaging. Phys Eng Sci Med 2022; 45:757-767. [PMID: 35687311 PMCID: PMC9448688 DOI: 10.1007/s13246-022-01141-3] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 05/16/2022] [Indexed: 11/27/2022]
Abstract
Magnetic resonance imaging (MRI) guided cardiac radioablation (CR) for atrial fibrillation (AF) is a promising treatment concept. However, the visibility of AF CR targets on MRI acquisitions requires further exploration and MRI sequence and parameter optimization has not yet been performed for this application. This pilot study explores the feasibility of MRI-guided tracking of AF CR targets by evaluating AF CR target visualization on human participants using a selection of 3D and 2D MRI sequences.MRI datasets were acquired in healthy and AF participants using a range of MRI sequences and parameters. MRI acquisition categories included 3D free-breathing acquisitions (3Dacq), 2D breath-hold ECG-gated acquisitions (2DECG-gated), stacks of 2D breath-hold ECG-gated acquisitions which were retrospectively interpolated to 3D datasets (3Dinterp), and 2D breath-hold ungated acquisitions (2Dreal-time). The ease of target delineation and the presence of artifacts were qualitatively analyzed. Image quality was quantitatively analyzed using signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) and non-uniformity. Confident 3D target delineation was achievable on all 3Dinterp datasets but was not possible on any of the 3Dacq datasets. Fewer artifacts and significantly better SNR, CNR and non-uniformity metrics were observed with 3Dinterp compared to 3Dacq. 2Dreal-time datasets had slightly lower SNR and CNR than 2DECG-gated and 3Dinterp n datasets. AF CR target visualization on MRI was qualitatively and quantitatively evaluated. The study findings indicate that AF CR target visualization is achievable despite the imaging challenges associated with these targets, warranting further investigation into MRI-guided AF CR treatments.
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Affiliation(s)
- Suzanne Lydiard
- ACRF Image X Institute, University of Sydney, 1 Central Avenue, Eveleigh, NSW, Australia. .,Kathleen Kilgour Centre, 18 Twentieth Avenue, Tauranga South, Tauranga, New Zealand.
| | - Beau Pontré
- Department of Anatomy and Medical Imaging, University of Auckland, 85 Park Road, Grafton, Auckland, New Zealand
| | - Boris S Lowe
- Green Lane Cardiovascular Service, Auckland City Hospital, 2 Park Road, Grafton, Auckland, New Zealand
| | - Paul Keall
- ACRF Image X Institute, University of Sydney, 1 Central Avenue, Eveleigh, NSW, Australia
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22
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Luneva EB, Vasileva AA, Karelkina EV, Boyarinova MA, Mikhaylov EN, Ryzhkov AV, Babenko AY, Konradi AO, Moiseeva OM. Simple Predictors for Cardiac Fibrosis in Patients with Type 2 Diabetes Mellitus: The Role of Circulating Biomarkers and Pulse Wave Velocity. J Clin Med 2022; 11. [PMID: 35628969 DOI: 10.3390/jcm11102843] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 05/11/2022] [Accepted: 05/16/2022] [Indexed: 12/29/2022] Open
Abstract
Cardiac fibrosis is the basis of structural and functional disorders in patients with diabetes mellitus (T2DM). A wide range of laboratory and instrumental methods is used for its prediction. The study aimed to identify simple predictors of cardiac fibrosis in patients with T2DM based on the analysis of circulating fibrosis biomarkers and arterial stiffness. The study included patients with T2DM (n = 37) and cardiovascular risk factors (RF, n = 27) who underwent ECHO, cardiac magnetic resonance imaging (MRI), pulse wave analysis (PWV), reactive hyperemia (RH), peripheral arterial tonometry, carotid ultrasonography, and assessment of serum fibrosis biomarkers. As a control group, 15 healthy subjects were examined. Left ventricular concentric hypertrophy was accompanied by an increased serum galectin-3 level in T2DM patients. There was a relationship between the PICP and HbA1c levels in both main groups (R2 = 0.309; p = 0.014). A negative correlation between PICP level and the global longitudinal strain (GLS) was found (r = −0.467; p = 0.004). The RH index had a negative correlation with the duration of diabetes (r = −0.356; p = 0.03), the carotid-femoral PWV (r = −0.371; p = 0.024), and the carotid intima-media thickness (r = −0.622; p < 0.001). The late gadolinium-enhanced (LGE) cardiac MRI was detected in 22 (59.5%) T2DM and in 4 (14.85%) RF patients. Diabetes, its baseline treatment with metformin, HbA1c and serum TIMP-1 levels, and left ventricle hypertrophy had moderate positive correlations with LGE findings (p < 0.05). Using the multivariate regression analysis, increased TIMP-1 level was identified as an independent factor associated with cardiac fibrosis.
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23
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Edlund J, Haris K, Ostenfeld E, Carlsson M, Heiberg E, Johansson S, Östenson B, Jin N, Aletras AH, Steding-Ehrenborg K. Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Sci Rep 2022; 12:5611. [PMID: 35379859 DOI: 10.1038/s41598-022-09366-8] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 03/10/2022] [Indexed: 11/09/2022] Open
Abstract
Exercise cardiovascular magnetic resonance (CMR) can unmask cardiac pathology not evident at rest. Real-time CMR in free breathing can be used, but respiratory motion may compromise quantification of left ventricular (LV) function. We aimed to develop and validate a post-processing algorithm that semi-automatically sorts real-time CMR images according to breathing to facilitate quantification of LV function in free breathing exercise. A semi-automatic algorithm utilizing manifold learning (Laplacian Eigenmaps) was developed for respiratory sorting. Feasibility was tested in eight healthy volunteers and eight patients who underwent ECG-gated and real-time CMR at rest. Additionally, volunteers performed exercise CMR at 60% of maximum heart rate. The algorithm was validated for exercise by comparing LV mass during exercise to rest. Respiratory sorting to end expiration and end inspiration (processing time 20 to 40 min) succeeded in all research participants. Bias ± SD for LV mass was 0 ± 5 g when comparing real-time CMR at rest, and 0 ± 7 g when comparing real-time CMR during exercise to ECG-gated at rest. This study presents a semi-automatic algorithm to retrospectively perform respiratory sorting in free breathing real-time CMR. This can facilitate implementation of exercise CMR with non-ECG-gated free breathing real-time imaging, without any additional physiological input.
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24
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Lu H, Guo J, Zhao S, Yang S, Ma J, Ge M, Chen Y, Zeng M, Jin H. Assessment of Non-contrast-enhanced Dixon Water-fat Separation Compressed Sensing Whole-heart Coronary MR Angiography at 3.0 T: A Single-center Experience. Acad Radiol 2022; 29 Suppl 4:S82-90. [PMID: 34127363 DOI: 10.1016/j.acra.2021.05.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 05/08/2021] [Accepted: 05/11/2021] [Indexed: 11/23/2022]
Abstract
RATIONALE AND OBJECTIVES The clinical utility of Dixon water-fat separation coronary MR angiography (CMRA) with compressed sensing (CS) reconstruction has not been determined in a patient population. This study was designed to evaluate the performance of 3.0 T non-contrast-enhanced Dixon water-fat separation CS whole-heart CMRA sequence in vitro and in vivo. MATERIALS AND METHODS In vitro phantom MRI, we compared key parameters of the SENSE and CS images. And in this prospective in vivo study, from November 2019 to October 2020, 94 participants were recruited for 3.0 T non-contrast-enhanced Dixon water-fat separation CS whole-heart CMRA. The accuracy of CMRA for detecting a ≥ 50% reduction in diameter was determined using X-ray coronary angiography (CA) as the reference method. RESULTS Compared with SENSE, CS with an appropriate acceleration factor offers both higher SNR/CNR (p < 0.05) and a shortened acquisition. Fifty-eight patients successfully completed the CMRA and CA. The sensitivity, specificity, positive predictive values, negative predictive values, and accuracy of 3.0 T non-contrast-enhanced Dixon water-fat separation CS whole-heart CMRA according to a patient-based analysis were 96.4%, 66.7%, 73.0%, 95.2% and 81.0%, respectively. The area under the receiver-operator characteristic (ROC) curve (AUC) of 3.0 T non-contrast-enhanced Dixon water-fat separation CS whole-heart CMRA for detecting significant coronary artery stenosis is 0.908, 0.895, and 0.904 in patient-, vessel-, and segment-based analyses respectively. CONCLUSION 3.0 T non-contrast-enhanced Dixon water-fat separation whole-heart CMRA using appropriate CS is a promising noninvasive and radiation-free technique to detect clinically significant coronary stenosis on patients with suspected CAD.
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25
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Kurniawaty J, Setianto BY, Supomo, Widyastuti Y, Boom CE. The Effect of Low Preoperative Ejection Fraction on Mortality After Cardiac Surgery in Indonesia. Vasc Health Risk Manag 2022; 18:131-137. [PMID: 35356550 PMCID: PMC8959716 DOI: 10.2147/vhrm.s350671] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 03/10/2022] [Indexed: 12/02/2022] Open
Abstract
Background Among cardiac surgery patients, low preoperative left ventricular ejection fraction (LVEF) is common and has been associated with poor outcomes. The objective of this study was to assess the association between LVEF and postoperative mortality in patients undergoing open-heart surgery in several hospitals in Indonesia. Methods We conducted a multicenter study with the retrospective design using data from patients undergoing open-heart surgery in 4 institutions in Indonesia. Data regarding LVEF and other potential risk factors were extracted from medical records and compiled in one datasheet. Statistical analyses were performed to assess if low LVEF was associated with postoperative mortality and identify other potential risk factors. Results A total of 4789 patients underwent cardiac surgery in participating centers during the study period. Of these, 189 subjects (3.9%) had poor preoperative LVEF. Poor LVEF was associated with postoperative mortality (adjusted OR 2.761, 95% CI 1.763–4.323, p < 0.001). Based on types of surgery, LVEF had a significant association with mortality only in CABG patients, while there was no such association in valve surgery and inconclusive in congenital surgery patients. Other significant independent predictors of in-hospital mortality included age more than 65 years old, non-elective surgery, the complexity of procedures, history of cardiac surgery, organ failure, CARE score ≥ 3, NYHA class ≥ III, and poor right ventricular function. Conclusion Patients with low preoperative LVEF undergoing open-heart surgery had a higher risk of postoperative mortality. Cardiac surgery can be performed with acceptable mortality rates. Accurate selection of patients, risk/benefit evaluation, and planning of surgical and anesthesiological management are mandatory to improve outcomes.
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Affiliation(s)
- Juni Kurniawaty
- Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Budi Yuli Setianto
- Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Supomo
- Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Yunita Widyastuti
- Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Cindy E Boom
- Harapan Kita National Heart Center, Jakarta, Indonesia
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26
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Guo F, Ng M, Roifman I, Wright G. Cardiac Magnetic Resonance Left Ventricle Segmentation and Function Evaluation Using a Trained Deep-Learning Model. Applied Sciences 2022; 12:2627. [DOI: 10.3390/app12052627] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Cardiac MRI is the gold standard for evaluating left ventricular myocardial mass (LVMM), end-systolic volume (LVESV), end-diastolic volume (LVEDV), stroke volume (LVSV), and ejection fraction (LVEF). Deep convolutional neural networks (CNNs) can provide automatic segmentation of LV myocardium (LVF) and blood cavity (LVC) and quantification of LV function; however, the performance is typically degraded when applied to new datasets. A 2D U-net with Monte-Carlo dropout was trained on 45 cine MR images and the model was used to segment 10 subjects from the ACDC dataset. The initial segmentations were post-processed using a continuous kernel-cut method. The refined segmentations were employed to update the trained model. This procedure was iterated several times and the final updated U-net model was used to segment the remaining 90 ACDC subjects. Algorithm and manual segmentations were compared using Dice coefficient (DSC) and average surface distance in a symmetric manner (ASSD). The relationships between algorithm and manual LV indices were evaluated using Pearson correlation coefficient (r), Bland-Altman analyses, and paired t-tests. Direct application of the pre-trained model yielded DSC of 0.74 ± 0.12 for LVM and 0.87 ± 0.12 for LVC. After fine-tuning, DSC was 0.81 ± 0.09 for LVM and 0.90 ± 0.09 for LVC. Algorithm LV function measurements were strongly correlated with manual analyses (r = 0.86–0.99, p < 0.0001) with minimal biases of −8.8 g for LVMM, −0.9 mL for LVEDV, −0.2 mL for LVESV, −0.7 mL for LVSV, and −0.6% for LVEF. The procedure required ∼12 min for fine-tuning and approximately 1 s to contour a new image on a Linux (Ubuntu 14.02) desktop (Inter(R) CPU i7-7770, 4.2 GHz, 16 GB RAM) with a GPU (GeForce, GTX TITAN X, 12 GB Memory). This approach provides a way to incorporate a trained CNN to segment and quantify previously unseen cardiac MR datasets without needing manual annotation of the unseen datasets.
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27
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Raman SV, Markl M, Patel AR, Bryant J, Allen BD, Plein S, Seiberlich N. 30-minute CMR for common clinical indications: a Society for Cardiovascular Magnetic Resonance white paper. J Cardiovasc Magn Reson 2022; 24:13. [PMID: 35232470 PMCID: PMC8886348 DOI: 10.1186/s12968-022-00844-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [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: 10/21/2021] [Accepted: 01/16/2022] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Despite decades of accruing evidence supporting the clinical utility of cardiovascular magnetic resonance (CMR), adoption of CMR in routine cardiovascular practice remains limited in many regions of the world. Persistent use of long scan times of 60 min or more contributes to limited adoption, though techniques available on most scanners afford routine CMR examination within 30 min. Incorporating such techniques into standardize protocols can answer common clinical questions in daily practice, including those related to heart failure, cardiomyopathy, ventricular arrhythmia, ischemic heart disease, and non-ischemic myocardial injury. BODY: In this white paper, we describe CMR protocols of 30 min or shorter duration with routine techniques with or without stress perfusion, plus specific approaches in patient and scanner room preparation for efficiency. Minimum requirements for the scanner gradient system, coil hardware and pulse sequences are detailed. Recent advances such as quantitative myocardial mapping and other add-on acquisitions can be incorporated into the proposed protocols without significant extension of scan duration for most patients. CONCLUSION Common questions in clinical cardiovascular practice can be answered in routine CMR protocols under 30 min; their incorporation warrants consideration to facilitate increased access to CMR worldwide.
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Affiliation(s)
- Subha V. Raman
- Division of Cardiovascular Medicine and Krannert CV Research Center, Indiana University School of Medicine, Indianapolis, IN USA
- Cardiovascular Institute, IU Health, Indianapolis, IN USA
| | - Michael Markl
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL USA
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL USA
| | - Amit R. Patel
- Section of Cardiology, Department of Medicine, University of Chicago, Chicago, IL USA
| | - Jennifer Bryant
- Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore
| | - Bradley D. Allen
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL USA
| | - Sven Plein
- Multidisciplinary Cardiovascular Research Centre and Biomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Nicole Seiberlich
- Department of Radiology, University of Michigan, 1150 West Medical Center Drive, Ann Arbor, MI 48109 USA
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Nanna MG, Vemulapalli S, Fordyce CB, Mark DB, Patel MR, Al-Khalidi HR, Kelsey M, Martinez B, Yow E, Mullen S, Stone GW, Ben-Yehuda O, Udelson JE, Rogers C, Douglas PS. The prospective randomized trial of the optimal evaluation of cardiac symptoms and revascularization: Rationale and design of the PRECISE trial. Am Heart J 2022; 245:136-148. [PMID: 34953768 PMCID: PMC8979644 DOI: 10.1016/j.ahj.2021.12.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 12/14/2021] [Accepted: 12/14/2021] [Indexed: 01/09/2023]
Abstract
BACKGROUND Clinicians vary widely in their preferred diagnostic approach to patients with non-acute chest pain. Such variation exposes patients to potentially avoidable risks, as well as inefficient care with increased costs and unresolved patient concerns. METHODS The Prospective Randomized Trial of the Optimal Evaluation of Cardiac Symptoms and Revascularization (PRECISE) trial (NCT03702244) compares an investigational "precision" diagnostic strategy to a usual care diagnostic strategy in participants with stable chest pain and suspected coronary artery disease (CAD). RESULTS PRECISE randomized 2103 participants with stable chest pain and a clinical recommendation for testing for suspected CAD at 68 outpatient international sites. The investigational precision evaluation strategy started with a pre-test risk assessment using the PROMISE Minimal Risk Tool. Those at lowest risk were assigned to deferred testing (no immediate testing), and the remainder received coronary computed tomographic angiography (cCTA) with selective fractional flow reserve (FFRCT) for any stenosis meeting a threshold of ≥30% and <90%. For participants randomized to usual care, the clinical care team selected the initial noninvasive or invasive test (diagnostic angiography) according to customary practice. The use of cCTA as the initial diagnostic strategy was proscribed by protocol for the usual care strategy. The primary endpoint is time to a composite of major adverse cardiac events (MACE: all-cause death or non-fatal myocardial infarction) or invasive cardiac catheterization without obstructive CAD at 1 year. Secondary endpoints include health care costs and quality of life. CONCLUSIONS PRECISE will determine whether a precision approach comprising a strategically deployed combination of risk-based deferred testing and cCTA with selective FFRCT improves the clinical outcomes and efficiency of the diagnostic evaluation of stable chest pain over usual care.
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Affiliation(s)
- Michael G. Nanna
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT
| | | | - Christopher B. Fordyce
- Division of Cardiology, Vancouver General Hospital, University of British Columbia, Vancouver, BC, Canada
| | - Daniel B. Mark
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - Manesh R. Patel
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | | | - Michelle Kelsey
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - Beth Martinez
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - Eric Yow
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | | | - Gregg W. Stone
- Icahn School of Medicine at Mount Sinai, Mount Sinai Heart and the Cardiovascular Research Foundation, New York, NY
| | - Ori Ben-Yehuda
- Cardiovascular Research Foundation, NY, NY and the University of California, San Diego
| | - James E. Udelson
- Division of Cardiology and the CardioVascular Center, Tufts Medical Center, Boston, MA
| | | | - Pamela S. Douglas
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
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29
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Balakrishna AM, Ismayl M, Thandra A, Walters R, Ganesan V, Anugula D, Shah DJ, Aboeata A. Diagnostic value of Cardiac Magnetic Resonance Imaging and Intracoronary Optical Coherence Tomography in patients with a working diagnosis of Myocardial Infarction with Non-obstructive Coronary Arteries - A Systematic review and Meta-analysis. Curr Probl Cardiol 2022; 48:101126. [PMID: 35120967 DOI: 10.1016/j.cpcardiol.2022.101126] [Citation(s) in RCA: 5] [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] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 01/25/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND We aimed to study the efficacy of cardiac magnetic resonance imaging (CMR) and intracoronary optical coherence tomography (OCT) in detecting the etiology of myocardial infarction with non-obstructive coronary arteries (MINOCA). METHODS A systematic search was conducted in PubMed, Medline, and Cochrane databases. Search terms used: Myocardial infarction, Coronary angiography, Normal coronary arteries, CMR, and OCT. Inclusion criteria was fulfilled by 18 studies. Meta-analysis was performed with 15 studies. RESULTS A total of 2697 patients were included. The mean age of all the patients was 51.5 and 56.4% were men. CMR established diagnosis in 74% of the patients; 29% had acute myocarditis, 18% had true myocardial infarction and 12% had takotsubo cardiomyopathy. Combining OCT with CMR was better at finding the etiology than either modality individually. CONCLUSION CMR is integral in identifying the etiology of MINOCA. Coupling OCT and CMR is better than either technique individually at finding the cause.
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Affiliation(s)
| | - Mahmoud Ismayl
- Division of Internal Medicine, Creighton University School of Medicine, Omaha, NE, USA
| | - Abhishek Thandra
- Division of Cardiovascular Diseases, Creighton University School of Medicine, Omaha, NE, USA
| | - Ryan Walters
- Department of Clinical Research, Creighton University, Omaha, NE, USA
| | - Vaishnavi Ganesan
- Division of Internal Medicine, Creighton University School of Medicine, Omaha, NE, USA
| | - Dixitha Anugula
- Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, Texas, USA
| | - Dipan J Shah
- Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, Texas, USA
| | - Ahmed Aboeata
- Division of Cardiovascular Diseases, Creighton University School of Medicine, Omaha, NE, USA
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Liu K, Zhang J, Li X, Xie Y, Li Y, Wang X, Jiao X, Xie X, Tang B. Hypochlorous acid-activated two-photon fluorescent probe for evaluation of anticancer drug-induced cardiotoxicity and screening of antioxidant drugs. Org Chem Front 2022. [DOI: 10.1039/d2qo01408d] [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: 11/06/2022]
Abstract
THPIC was developed to detect HClO in lysosomes. The results showed that HClO could be used as a biomarker for evaluating drug-induced cardiotoxicity, and THPIC could be applied as a platform for screening drugs to prevent cardiotoxicitys.
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Affiliation(s)
- Kaiqiang Liu
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Shandong Provincial Key Laboratory of Clean Production of Fine Chemicals, Shandong Normal University, Jinan 250014, P. R. China
| | - Jian Zhang
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Shandong Provincial Key Laboratory of Clean Production of Fine Chemicals, Shandong Normal University, Jinan 250014, P. R. China
| | - Xinxin Li
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Shandong Provincial Key Laboratory of Clean Production of Fine Chemicals, Shandong Normal University, Jinan 250014, P. R. China
| | - Yingying Xie
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Shandong Provincial Key Laboratory of Clean Production of Fine Chemicals, Shandong Normal University, Jinan 250014, P. R. China
| | - Yong Li
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Shandong Provincial Key Laboratory of Clean Production of Fine Chemicals, Shandong Normal University, Jinan 250014, P. R. China
| | - Xu Wang
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Shandong Provincial Key Laboratory of Clean Production of Fine Chemicals, Shandong Normal University, Jinan 250014, P. R. China
| | - Xiaoyun Jiao
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Shandong Provincial Key Laboratory of Clean Production of Fine Chemicals, Shandong Normal University, Jinan 250014, P. R. China
| | - Xilei Xie
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Shandong Provincial Key Laboratory of Clean Production of Fine Chemicals, Shandong Normal University, Jinan 250014, P. R. China
| | - Bo Tang
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Shandong Provincial Key Laboratory of Clean Production of Fine Chemicals, Shandong Normal University, Jinan 250014, P. R. China
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Shenoy C, Grizzard JD, Shah DJ, Kassi M, Reardon MJ, Zagurovskaya M, Kim HW, Parker MA, Kim RJ. Cardiovascular magnetic resonance imaging in suspected cardiac tumour: a multicentre outcomes study. Eur Heart J 2021; 43:71-80. [PMID: 34545397 PMCID: PMC8720142 DOI: 10.1093/eurheartj/ehab635] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 06/25/2021] [Accepted: 09/09/2021] [Indexed: 12/11/2022] Open
Abstract
AIMS Cardiovascular magnetic resonance (CMR) imaging is a key diagnostic tool for the evaluation of patients with suspected cardiac tumours. Patient management is guided by the CMR diagnosis, including no further testing if a mass is excluded or if only a pseudomass is found. However, there are no outcomes studies validating this approach. METHODS AND RESULTS In this multicentre study of patients undergoing clinical CMR for suspected cardiac tumour, CMR diagnoses were assigned as no mass, pseudomass, thrombus, benign tumour, or malignant tumour. A final diagnosis was determined after follow-up using all available data. The primary endpoint was all-cause mortality. Among 903 patients, the CMR diagnosis was no mass in 25%, pseudomass in 16%, thrombus in 16%, benign tumour in 17%, and malignant tumour in 23%. Over a median of 4.9 years, 376 patients died. Compared with the final diagnosis, the CMR diagnosis was accurate in 98.4% of patients. Patients with CMR diagnoses of pseudomass and benign tumour had similar mortality to those with no mass, whereas those with malignant tumour [hazard ratio (HR) 3.31 (2.40-4.57)] and thrombus [HR 1.46 (1.00-2.11)] had greater mortality. The CMR diagnosis provided incremental prognostic value over clinical factors including left ventricular ejection fraction, coronary artery disease, and history of extracardiac malignancy (P < 0.001). CONCLUSION In patients with suspected cardiac tumour, CMR has high diagnostic accuracy. Patients with CMR diagnoses of no mass, pseudomass, and benign tumour have similar long-term mortality. The CMR diagnosis is a powerful independent predictor of mortality incremental to clinical risk factors.
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Affiliation(s)
- Chetan Shenoy
- University of Minnesota Medical Center, Cardiovascular Division, Department of Medicine, 420 Delaware St MMC 508, Minneapolis, MN, USA
| | - John D Grizzard
- Virginia Commonwealth University Medical Center, 1250 E. Marshall Street, Richmond, VA, USA
| | - Dipan J Shah
- Houston Methodist Hospital, 6550 Fannin St Suite 1901, Houston, TX, USA
| | - Mahwash Kassi
- Houston Methodist Hospital, 6550 Fannin St Suite 1901, Houston, TX, USA
| | - Michael J Reardon
- Houston Methodist Hospital, 6550 Fannin St Suite 1901, Houston, TX, USA
| | - Marianna Zagurovskaya
- Virginia Commonwealth University Medical Center, 1250 E. Marshall Street, Richmond, VA, USA
| | - Han W Kim
- Duke University Medical Center, Duke Medical Pavilion, 10 Medicine Circle, Rm IE-58 Durham, NC 27710, USA
| | - Michele A Parker
- Duke University Medical Center, Duke Medical Pavilion, 10 Medicine Circle, Rm IE-58 Durham, NC 27710, USA
| | - Raymond J Kim
- Duke University Medical Center, Duke Medical Pavilion, 10 Medicine Circle, Rm IE-58 Durham, NC 27710, USA
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Abstract
Children with Friedreich's ataxia (FA) are at risk of perioperative morbidity and mortality from severe unpredictable heart failure. There is currently no clear way of identifying patients at highest risk. We used myocardial perfusion reserve (MPR), an MRI technique used to assess the maximal myocardial blood flow above baseline, to help determine potential surgical risk in FA subjects. In total, seven children with genetically confirmed FA, ages 8-17 years, underwent MPR stress testing using regadenoson. Six of the seven demonstrated impaired endocardial perfusion during coronary hyperemia. The same six were also found to have evidence of ongoing myocardial damage as illustrated by cardiac troponin I leak (range 0.04-0.17 ng/mL, normal < 0.03 ng/mL). None of the patients had a reduced ejection fraction (range 59-74%) or elevated insulin level (range 2.46-14.23 mCU/mL). This retrospective study shows that children with FA develop MPR defects early in the disease process. It also suggests MPR may be a sensitive tool to evaluate underlying cardiac compromise and could be of use in directing surgical management decisions in children with FA.
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Affiliation(s)
| | - Tiffanie R Johnson
- Indiana University School of Medicine, Indianapolis, IN, USA.,Division of Pediatric Cardiology, Riley Hospital for Children, Indiana University School of Medicine, 1044 West Walnut St, Room R4-302b, Indianapolis, IN, 46202, USA
| | - R Mark Payne
- Indiana University School of Medicine, Indianapolis, IN, USA. .,Division of Pediatric Cardiology, Riley Hospital for Children, Indiana University School of Medicine, 1044 West Walnut St, Room R4-302b, Indianapolis, IN, 46202, USA. .,Herman B Wells Center for Pediatric Research, Indianapolis, IN, USA.
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Masson JB, Forcillo J. Mixed-Valve Disease: Management of Patients with Aortic Stenosis and Mitral Regurgitation: Thresholds for Surgery Versus Percutaneous Therapies. US Cardiology Review 2021. [DOI: 10.15420/usc.2021.17] [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] [Indexed: 12/22/2022] Open
Abstract
Significant mitral regurgitation (MR), frequently seen in the presence of severe aortic stenosis (AS), results in an association that negatively affects prognosis and imposes particular challenges for both the assessment of the severity of valvular lesions and decisions regarding treatment allocation. This article reviews the available literature with regards to the assessment of MR and AS in the presence of both; surgical management and results in patients with concomitant AS and MR; the effect of MR on outcomes in patients undergoing transcatheter aortic valve replacement; the effect of transcatheter aortic valve replacement on MR severity; and percutaneous treatment for MR after transcatheter aortic valve implantation. The authors aim to provide assistance in the decision-making process to treat patients with either a higher-risk double-valve procedure or a simpler, but perhaps incomplete, single-valve option.
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Affiliation(s)
- Jean-Bernard Masson
- Division of Cardiology and Cardiac Surgery, Centre Hospitalier de l’Université de Montréal (CHUM), Montreal, Quebec, Canada
| | - Jessica Forcillo
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
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Crisóstomo V, Baéz-Diaz C, Blanco-Blázquez V, Álvarez V, López-Nieto E, Maestre J, Bayes-Genis A, Gálvez-Montón C, Casado JG, Sánchez-Margallo FM. The epicardial delivery of cardiosphere derived cells or their extracellular vesicles is safe but of limited value in experimental infarction. Sci Rep 2021; 11:22155. [PMID: 34772964 PMCID: PMC8590017 DOI: 10.1038/s41598-021-01728-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 11/02/2021] [Indexed: 02/08/2023] Open
Abstract
The epicardial administration of therapeutics via the pericardial sac offers an attractive route, since it is minimally invasive and carries no risks of coronary embolization. The aim of this study was to assess viability, safety and effectiveness of cardiosphere-derived cells (CDCs), their extracellular vesicles (EVs) or placebo administered via a mini-thoracotomy 72 h after experimental infarction in swine. The epicardial administration was completed successfully in all cases in a surgery time (knife-to-skin) below 30 min. No significant differences between groups were found in cardiac function parameters evaluated using magnetic resonance imaging before therapy and at the end of the study, despite a trend towards improved function in CDC-treated animals. Moreover, infarct size at 10 weeks was smaller in treated animals, albeit not significantly. Arrhythmia inducibility did not differ between groups. Pathological examination showed no differences, nor were there any pericardial adhesions evidenced in any case 10 weeks after surgery. These results show that the epicardial delivery of CDCs or their EVs is safe and technically easy 3 days after experimental myocardial infarction in swine, but it does not appear to have any beneficial effect on cardiac function. Our results do not support clinical translation of these therapies as implemented in this work.
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Affiliation(s)
- Verónica Crisóstomo
- Fundación Centro de Cirugía de Mínima Invasión Jesús Usón, Carretera N-521, km 41, 10071, Cáceres, Spain. .,CIBERCV, Instituto de Salud Carlos III, Madrid, Spain.
| | - Claudia Baéz-Diaz
- Fundación Centro de Cirugía de Mínima Invasión Jesús Usón, Carretera N-521, km 41, 10071, Cáceres, Spain.,CIBERCV, Instituto de Salud Carlos III, Madrid, Spain
| | - Virginia Blanco-Blázquez
- Fundación Centro de Cirugía de Mínima Invasión Jesús Usón, Carretera N-521, km 41, 10071, Cáceres, Spain.,CIBERCV, Instituto de Salud Carlos III, Madrid, Spain
| | - Verónica Álvarez
- Fundación Centro de Cirugía de Mínima Invasión Jesús Usón, Carretera N-521, km 41, 10071, Cáceres, Spain
| | - Esther López-Nieto
- Fundación Centro de Cirugía de Mínima Invasión Jesús Usón, Carretera N-521, km 41, 10071, Cáceres, Spain
| | - Juan Maestre
- Fundación Centro de Cirugía de Mínima Invasión Jesús Usón, Carretera N-521, km 41, 10071, Cáceres, Spain.,CIBERCV, Instituto de Salud Carlos III, Madrid, Spain
| | - Antoni Bayes-Genis
- CIBERCV, Instituto de Salud Carlos III, Madrid, Spain.,ICREC Research Group (Insuficiència Cardíaca i REgeneració Cardíaca), Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Spain
| | - Carolina Gálvez-Montón
- CIBERCV, Instituto de Salud Carlos III, Madrid, Spain.,ICREC Research Group (Insuficiència Cardíaca i REgeneració Cardíaca), Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Spain
| | - Javier G Casado
- Fundación Centro de Cirugía de Mínima Invasión Jesús Usón, Carretera N-521, km 41, 10071, Cáceres, Spain.,CIBERCV, Instituto de Salud Carlos III, Madrid, Spain.,Immunology Unit, University of Extremadura, Cáceres, Spain.,Institute of Molecular Pathology Biomarkers, University of Extremadura, Cáceres, Spain
| | - Francisco M Sánchez-Margallo
- Fundación Centro de Cirugía de Mínima Invasión Jesús Usón, Carretera N-521, km 41, 10071, Cáceres, Spain.,CIBERCV, Instituto de Salud Carlos III, Madrid, Spain
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Edalati M, Zheng Y, Watkins MP, Chen J, Liu L, Zhang S, Song Y, Soleymani S, Lenihan DJ, Lanza GM. Implementation and prospective clinical validation of AI-based planning and shimming techniques in cardiac MRI. Med Phys 2021; 49:129-143. [PMID: 34748660 PMCID: PMC9299210 DOI: 10.1002/mp.15327] [Citation(s) in RCA: 6] [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] [Received: 06/27/2021] [Revised: 10/18/2021] [Accepted: 10/23/2021] [Indexed: 11/05/2022] Open
Abstract
PURPOSE Cardiovascular magnetic resonance (CMR) is a vital diagnostic tool in the management of cardiovascular diseases. The advent of advanced CMR technologies combined with artificial intelligence (AI) has the potential to simplify imaging, reduce image acquisition time without compromising image quality (IQ), and improve magnetic field uniformity. Here, we aim to implement two AI-based deep learning techniques for automatic slice alignment and cardiac shimming and evaluate their performance in clinical cardiac magnetic resonance imaging (MRI). METHODS Two deep neural networks were developed, trained, and validated on pre-acquired cardiac MRI datasets (>500 subjects) to achieve automatic slice planning and shimming (implemented in the scanner) for CMR. To examine the performance of our automated cardiac planning (EasyScan) and AI-based shim (AI shim), two prospective studies were performed subsequently. For the EasyScan validation, 10 healthy subjects underwent two identical CMR protocols: with manual cardiac planning and with AI-based EasyScan to assess protocol scan time difference and accuracy of cardiac plane prescriptions on a 1.5 T clinical MRI scanner. For the AI shim validation, a total of 20 subjects were recruited: 10 healthy and 10 cardio-oncology patients with referrals for a CMR examination. Cine images were obtained with standard cardiac volume shim and with AI shim to assess signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), overall IQ (sharpness and MR image degradation), ejection fraction (EF), and absolute wall thickening. A hybrid statistical method using of nonparametric (Wilcoxon) and parametric (t-test) assessments was employed for statistical analyses. RESULTS CMR protocol with AI-based plane prescriptions, EasyScan, minimized operator dependence and reduced overall scanning time by over 2 min (∼13 % faster, p < 0.001) compared to the protocol with manual cardiac planning. EasyScan plane prescriptions also demonstrated more accurate (less plane angulation errors from planes manually prescribed by a certified cardiac MRI technologist) cardiac planes than previously reported strategies. Additionally, AI shim resulted in improved B0 field homogeneity. Cine images obtained with AI shim revealed a significantly higher SNR (12.49%; p = 0.002) than those obtained with volume shim (volume shim: 32.90 ± 7.42 vs. AI shim: 37.01 ± 8.87) for the left ventricle (LV) myocardium. LV myocardium CNR was 12.48% higher for cine imaging with AI shim (149.02 ± 39.15) than volume shim (132.49 ± 33.94). Images obtained with AI shim resulted in sharper images than those obtained with volume shim (p = 0.012). The LVEF and absolute wall thickening also showed that differences exist between the two shimming methods. The LVEF by AI shim was shown to be slightly larger than LVEF by volume shim in two groups: 2.87% higher with AI shim for the healthy group and 1.70% higher with AI shim for the patient group. The LV absolute wall thickening (in mm) also showed that differences exist between shimming methods for each group with larger changes observed in the patient group (healthy: 3.31%, p = 0.234 and patient group: 7.29%, p = 0.059). CONCLUSIONS CMR exams using EasyScan for cardiac planning demonstrated accelerated cardiac exam compared to the CMR protocol with manual cardiac planning. Improved and more uniform B0 magnetic field homogeneity also achieved using AI shim technique compared to volume shimming.
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Affiliation(s)
- Masoud Edalati
- United Imaging Healthcare America, Inc., Houston, Texas, USA
| | - Yuan Zheng
- United Imaging Healthcare America, Inc., Houston, Texas, USA
| | - Mary P Watkins
- Cardiology Division, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Junjie Chen
- Cardiology Division, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Liu Liu
- United Imaging Healthcare America, Inc., Houston, Texas, USA
| | - Shuheng Zhang
- United Imaging Healthcare America, Inc., Houston, Texas, USA
| | - Yanli Song
- United Imaging Healthcare America, Inc., Houston, Texas, USA
| | - Samira Soleymani
- Department of Statistical and Actuarial Sciences, University of Western Ontario, London, Ontario, Canada
| | - Daniel J Lenihan
- Cardiology Division, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Gregory M Lanza
- Cardiology Division, Washington University School of Medicine, St. Louis, Missouri, USA
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Bustin A, Sridi S, Gravinay P, Legghe B, Gosse P, Ouattara A, Rozé H, Coste P, Gerbaud E, Desclaux A, Boyer A, Prevel R, Gruson D, Bonnet F, Issa N, Montaudon M, Laurent F, Stuber M, Camou F, Cochet H. High-resolution Free-breathing late gadolinium enhancement Cardiovascular magnetic resonance to diagnose myocardial injuries following COVID-19 infection. Eur J Radiol 2021; 144:109960. [PMID: 34600236 PMCID: PMC8450147 DOI: 10.1016/j.ejrad.2021.109960] [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] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/30/2021] [Accepted: 09/15/2021] [Indexed: 12/14/2022]
Abstract
PURPOSE High-resolution free-breathing late gadolinium enhancement (HR-LGE) was shown valuable for the diagnosis of acute coronary syndromes with non-obstructed coronary arteries. The method may be useful to detect COVID-related myocardial injuries but is hampered by prolonged acquisition times. We aimed to introduce an accelerated HR-LGE technique for the diagnosis of COVID-related myocardial injuries. METHOD An undersampled navigator-gated HR-LGE (acquired resolution of 1.25 mm3) sequence combined with advanced patch-based low-rank reconstruction was developed and validated in a phantom and in 23 patients with structural heart disease (test cohort; 15 men; 55 ± 16 years). Twenty patients with laboratory-confirmed COVID-19 infection associated with troponin rise (COVID cohort; 15 men; 46 ± 24 years) prospectively underwent cardiovascular magnetic resonance (CMR) with the proposed sequence in our center. Image sharpness, quality, signal intensity differences and diagnostic value of free-breathing HR-LGE were compared against conventional breath-held low-resolution LGE (LR-LGE, voxel size 1.8x1.4x6mm). RESULTS Structures sharpness in the phantom showed no differences with the fully sampled image up to an undersampling factor of x3.8 (P > 0.5). In patients (N = 43), this acceleration allowed for acquisition times of 7min21s ± 1min12s at 1.25 mm3 resolution. Compared with LR-LGE, HR-LGE showed higher image quality (P = 0.03) and comparable signal intensity differences (P > 0.5). In patients with structural heart disease, all LGE-positive segments on LR-LGE were also detected on HR-LGE (80/391) with 21 additional enhanced segments visible only on HR-LGE (101/391, P < 0.001). In 4 patients with COVID-19 history, HR-LGE was definitely positive while LR-LGE was either definitely negative (1 microinfarction and 1 myocarditis) or inconclusive (2 myocarditis). CONCLUSIONS Undersampled free-breathing isotropic HR-LGE can detect additional areas of late enhancement as compared to conventional breath-held LR-LGE. In patients with history of COVID-19 infection associated with troponin rise, the method allows for detailed characterization of myocardial injuries in acceptable scan times and without the need for repeated breath holds.
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Affiliation(s)
- Aurélien Bustin
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, Pessac, France; IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux - INSERM U1045, Avenue du Haut Lévêque, Pessac, France; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
| | - Soumaya Sridi
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, Pessac, France
| | - Pierre Gravinay
- Cardiac Intensive Care Unit, Hôpital St André, CHU Bordeaux, Bordeaux, France
| | - Benoit Legghe
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, Pessac, France
| | - Philippe Gosse
- Cardiac Intensive Care Unit, Hôpital St André, CHU Bordeaux, Bordeaux, France
| | - Alexandre Ouattara
- Department of Anaesthesia and Critical Care, Groupe Hospitalier Sud, CHU Bordeaux, Pessac, France
| | - Hadrien Rozé
- Department of Anaesthesia and Critical Care, Groupe Hospitalier Sud, CHU Bordeaux, Pessac, France
| | - Pierre Coste
- Cardiac Intensive Care Unit, Groupe Hospitalier Sud, CHU de Bordeaux, Pessac, France
| | - Edouard Gerbaud
- Cardiac Intensive Care Unit, Groupe Hospitalier Sud, CHU de Bordeaux, Pessac, France
| | - Arnaud Desclaux
- Infectious disease Unit, Hôpital Pellegrin, CHU Bordeaux, Bordeaux, France
| | - Alexandre Boyer
- Medical Intensive Care Unit, Hôpital Pellegrin, CHU Bordeaux, Bordeaux, France
| | - Renaud Prevel
- Medical Intensive Care Unit, Hôpital Pellegrin, CHU Bordeaux, Bordeaux, France
| | - Didier Gruson
- Medical Intensive Care Unit, Hôpital Pellegrin, CHU Bordeaux, Bordeaux, France
| | - Fabrice Bonnet
- Infectious Disease Unit, Hôpital St André, CHU Bordeaux, Bordeaux, France
| | - Nahema Issa
- Intensive Care Unit, Hôpital St André, CHU Bordeaux, Bordeaux, France
| | - Michel Montaudon
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, Pessac, France
| | - François Laurent
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, Pessac, France
| | - Matthias Stuber
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux - INSERM U1045, Avenue du Haut Lévêque, Pessac, France; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; CIBM Center for Biomedical Imaging, Lausanne, Switzerland
| | - Fabrice Camou
- Intensive Care Unit, Hôpital St André, CHU Bordeaux, Bordeaux, France
| | - Hubert Cochet
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, Pessac, France; IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux - INSERM U1045, Avenue du Haut Lévêque, Pessac, France
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Tumenas A, Tamkeviciute L, Arzanauskiene R, Arzanauskaite M. Multimodality Imaging of the Mitral Valve: Morphology, Function, and Disease. Curr Probl Diagn Radiol 2021; 50:905-924. [DOI: 10.1067/j.cpradiol.2020.09.013] [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] [Received: 06/14/2020] [Revised: 08/28/2020] [Accepted: 09/15/2020] [Indexed: 12/16/2022]
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Abstract
PURPOSE OF REVIEW Pericardial diseases include a wide range of pathologies and their diagnosis can often be challenging. The goal of this review is to describe the established and emerging CMR imaging techniques used in the assessment of common pericardial diseases and explain the role of pericardial characterization in their diagnosis and management. RECENT FINDINGS CMR is indicated in cases of diagnostic uncertainty and for a comprehensive evaluation of the pericardium and its impact on the heart. This includes assessment of pericardial anatomy and associated cardiac hemodynamics, quantification and characterization of an effusion, disease staging, tissue characterization, guiding management, and even prognostication in some diseases of the pericardium. An emerging technique, pericardial characterization, utilizes various sequences to diagnose and stage pericardial inflammation, act as a biomarker in recurrent pericarditis, and guide management in inflammatory pericardial conditions. Beyond imaging, it has ushered in an era of tailored therapy for patients with pericardial diseases. Future directions should aim at exploring the role of tissue characterization in various pericardial diseases.
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Yiu AC, Hussain A, Okonkwo UA, O’Shea JP. A Case of Cardiac Papillary Fibroelastoma - An Increasingly Described Cardiac Tumor with Fatal Consequences. Hawaii J Health Soc Welf 2021; 80:207-211. [PMID: 34522888 PMCID: PMC8433577] [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] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Papillary fibroelastomas (PFE) are rare primary cardiac tumors characterized by non-malignant, pedunculated, endocardial lesions with a significant risk of embolic potential and death. With improvements in the imaging quality and availability of transthoracic echocardiograms (TTE), the diagnosis of PFE has become more common in the last 2 decades. PFE is changing from a rare "zebra" diagnosis to one that community providers will encounter in their practice and must appropriately treat to prevent morbidity and mortality. Data shows that there are significant survival and morbidity benefit associated with surgical excision over non-operative management, with the benefit of anticoagulation remaining unclear at this time. We report a case describing the diagnostic workup and management of a 58-year-old woman who presented with an unidentified endocardial mass determined to be a PFE. Based on current literature, we favor a strategy of early surgical excision of PFE for an optimal reduction in mortality and thromboembolic sequelae associated with this pathology.
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De Michele F, Guerra FS, Forte V, Carrieri A, Chieppa DRR, Guglielmi G. Cardiovascular Magnetic Resonance (CMR) for the Evaluation of Myocardial Infarction in Patients with Non-obstructive Coronary Artery Disease (MINOCA). Curr Radiol Rep 2021; 9. [DOI: 10.1007/s40134-021-00384-4] [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: 10/20/2022]
Abstract
Abstract
Purpose of Review
Myocardial infarction in the absence of coronary artery disease is caused by a variety of clinical conditions, so it is important to detect the specific causes in order to perform a better prognostic stratification of these patients. The aim of this review is to summarize the most important findings that established the role of CMR (cardiovascular magnetic resonance) to detect the MINOCA (myocardial infarction with non-obstructive arteries) patients and the importance to differentiate them from myocardial infarction patients.
Recent Findings
The role of CMR is crucial to diagnose the principal diseases involved in MINOCA, as demonstrated. The several MR sequences used in all the MINOCA patients showed different results for all the different causes of MINOCA and, surely, high-resolution MR with gadolinium enhancement has been considered the best method to differentiate the transmural lesions.
Summary
Another fundamental aspect to be considered is the experience of CMR radiologists, which represent the most important element for the right diagnosis of MINOCA. Surely, in the future, CMR will be the most important technique of choice for MINOCA patients, playing a key role in their management.
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Sakalla R, Awwad A. Editorial for "Cardiac Magnetic Resonance Imaging Findings in 2,954 COVID-19 Adult Survivors: A Comprehensive Systematic Review". J Magn Reson Imaging 2021; 55:881-882. [PMID: 34405926 PMCID: PMC8426674 DOI: 10.1002/jmri.27893] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 08/06/2021] [Indexed: 11/08/2022] Open
Affiliation(s)
- Rawan Sakalla
- Department of Anatomy, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Amir Awwad
- NIHR Nottingham Biomedical Research Centre, Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, UK.,Department of Medical Imaging, London Health Sciences Centre, Univ. Hospital, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
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Lin L, Zhou X, Dekkers IA, Lamb HJ. Cardiorenal Syndrome: Emerging Role of Medical Imaging for Clinical Diagnosis and Management. J Pers Med 2021; 11:734. [PMID: 34442378 PMCID: PMC8400880 DOI: 10.3390/jpm11080734] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 07/24/2021] [Accepted: 07/24/2021] [Indexed: 12/16/2022] Open
Abstract
Cardiorenal syndrome (CRS) concerns the interconnection between heart and kidneys in which the dysfunction of one organ leads to abnormalities of the other. The main clinical challenges associated with cardiorenal syndrome are the lack of tools for early diagnosis, prognosis, and evaluation of therapeutic effects. Ultrasound, computed tomography, nuclear medicine, and magnetic resonance imaging are increasingly used for clinical management of cardiovascular and renal diseases. In the last decade, rapid development of imaging techniques provides a number of promising biomarkers for functional evaluation and tissue characterization. This review summarizes the applicability as well as the future technological potential of each imaging modality in the assessment of CRS. Furthermore, opportunities for a comprehensive imaging approach for the evaluation of CRS are defined.
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Affiliation(s)
- Ling Lin
- Cardiovascular Imaging Group (CVIG), Department of Radiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (L.L.); (I.A.D.); (H.J.L.)
| | - Xuhui Zhou
- Department of Radiology, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen 510833, China
| | - Ilona A. Dekkers
- Cardiovascular Imaging Group (CVIG), Department of Radiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (L.L.); (I.A.D.); (H.J.L.)
| | - Hildo J. Lamb
- Cardiovascular Imaging Group (CVIG), Department of Radiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (L.L.); (I.A.D.); (H.J.L.)
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Nicolau JC, Feitosa Filho GS, Petriz JL, Furtado RHDM, Précoma DB, Lemke W, Lopes RD, Timerman A, Marin Neto JA, Bezerra Neto L, Gomes BFDO, Santos ECL, Piegas LS, Soeiro ADM, Negri AJDA, Franci A, Markman Filho B, Baccaro BM, Montenegro CEL, Rochitte CE, Barbosa CJDG, Virgens CMBD, Stefanini E, Manenti ERF, Lima FG, Monteiro Júnior FDC, Correa Filho H, Pena HPM, Pinto IMF, Falcão JLDAA, Sena JP, Peixoto JM, Souza JAD, Silva LSD, Maia LN, Ohe LN, Baracioli LM, Dallan LADO, Dallan LAP, Mattos LAPE, Bodanese LC, Ritt LEF, Canesin MF, Rivas MBDS, Franken M, Magalhães MJG, Oliveira Júnior MTD, Filgueiras Filho NM, Dutra OP, Coelho OR, Leães PE, Rossi PRF, Soares PR, Lemos Neto PA, Farsky PS, Cavalcanti RRC, Alves RJ, Kalil RAK, Esporcatte R, Marino RL, Giraldez RRCV, Meneghelo RS, Lima RDSL, Ramos RF, Falcão SNDRS, Dalçóquio TF, Lemke VDMG, Chalela WA, Mathias Júnior W. Brazilian Society of Cardiology Guidelines on Unstable Angina and Acute Myocardial Infarction without ST-Segment Elevation - 2021. Arq Bras Cardiol 2021; 117:181-264. [PMID: 34320090 PMCID: PMC8294740 DOI: 10.36660/abc.20210180] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Affiliation(s)
- José Carlos Nicolau
- Instituto do Coração (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, SP - Brasil
| | - Gilson Soares Feitosa Filho
- Escola Bahiana de Medicina e Saúde Pública, Salvador, BA - Brasil
- Centro Universitário de Tecnologia e Ciência (UniFTC), Salvador, BA - Brasil
| | - João Luiz Petriz
- Hospital Barra D'Or, Rede D'Or São Luiz, Rio de Janeiro, RJ - Brasil
| | | | | | - Walmor Lemke
- Clínica Cardiocare, Curitiba, PR - Brasil
- Hospital das Nações, Curitiba, PR - Brasil
| | | | - Ari Timerman
- Instituto Dante Pazzanese de Cardiologia, São Paulo, SP - Brasil
| | - José A Marin Neto
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Ribeirão Preto, SP - Brasil
| | | | - Bruno Ferraz de Oliveira Gomes
- Hospital Barra D'Or, Rede D'Or São Luiz, Rio de Janeiro, RJ - Brasil
- Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ - Brasil
| | | | | | | | | | | | | | | | | | - Carlos Eduardo Rochitte
- Hospital do Coração (HCor), São Paulo, SP - Brasil
- Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, SP - Brasil
| | | | | | - Edson Stefanini
- Escola Paulista de Medicina da Universidade Federal de São Paulo (UNIFESP), São Paulo, SP - Brasil
| | | | - Felipe Gallego Lima
- Instituto do Coração (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, SP - Brasil
| | | | | | | | | | | | | | - José Maria Peixoto
- Universidade José do Rosário Vellano (UNIFENAS), Belo Horizonte, MG - Brasil
| | - Juliana Ascenção de Souza
- Instituto do Coração (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, SP - Brasil
| | | | - Lilia Nigro Maia
- Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, SP - Brasil
| | | | - Luciano Moreira Baracioli
- Instituto do Coração (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, SP - Brasil
| | - Luís Alberto de Oliveira Dallan
- Instituto do Coração (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, SP - Brasil
| | - Luis Augusto Palma Dallan
- Instituto do Coração (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, SP - Brasil
| | | | - Luiz Carlos Bodanese
- Pontifícia Universidade Católica do Rio Grande do Sul (PUC-RS), Porto Alegre, RS - Brasil
| | | | | | - Marcelo Bueno da Silva Rivas
- Rede D'Or São Luiz, Rio de Janeiro, RJ - Brasil
- Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ - Brasil
| | | | | | - Múcio Tavares de Oliveira Júnior
- Instituto do Coração (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, SP - Brasil
| | - Nivaldo Menezes Filgueiras Filho
- Universidade do Estado da Bahia (UNEB), Salvador, BA - Brasil
- Universidade Salvador (UNIFACS), Salvador, BA - Brasil
- Hospital EMEC, Salvador, BA - Brasil
| | - Oscar Pereira Dutra
- Instituto de Cardiologia - Fundação Universitária de Cardiologia do Rio Grande do Sul, Porto Alegre, RS - Brasil
| | - Otávio Rizzi Coelho
- Faculdade de Ciências Médicas da Universidade Estadual de Campinas (UNICAMP), Campinas, SP - Brasil
| | | | | | - Paulo Rogério Soares
- Instituto do Coração (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, SP - Brasil
| | | | | | | | | | | | - Roberto Esporcatte
- Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ - Brasil
| | | | | | | | | | | | | | - Talia Falcão Dalçóquio
- Instituto do Coração (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, SP - Brasil
| | | | - William Azem Chalela
- Instituto do Coração (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, SP - Brasil
| | - Wilson Mathias Júnior
- Instituto do Coração (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, SP - Brasil
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Dorbala S, Ando Y, Bokhari S, Dispenzieri A, Falk RH, Ferrari VA, Fontana M, Gheysens O, Gillmore JD, Glaudemans AWJM, Hanna MA, Hazenberg BPC, Kristen AV, Kwong RY, Maurer MS, Merlini G, Miller EJ, Moon JC, Murthy VL, Quarta CC, Rapezzi C, Ruberg FL, Shah SJ, Slart RHJA, Verberne HJ, Bourque JM. ASNC/AHA/ASE/EANM/HFSA/ISA/SCMR/SNMMI Expert Consensus Recommendations for Multimodality Imaging in Cardiac Amyloidosis: Part 2 of 2-Diagnostic Criteria and Appropriate Utilization. Circ Cardiovasc Imaging 2021; 14:e000030. [PMID: 34196222 DOI: 10.1161/hci.0000000000000030] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Sharmila Dorbala
- Cardiac Amyloidosis Program, Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Yukio Ando
- Department of Neurology, Graduate School of Medical Sciences, Kumamoto University, Japan
| | - Sabahat Bokhari
- Columbia University Medical Center/New York Presbyterian Hospital, Columbia University, NY, USA
| | - Angela Dispenzieri
- Division of Hematology, Division of Cardiovascular Diseases, and Department of Radiology, Division of Nuclear Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Rodney H Falk
- Cardiac Amyloidosis Program, Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Victor A Ferrari
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marianna Fontana
- National Amyloidosis Centre, Division of Medicine, University College London, London, United Kingdom
| | - Olivier Gheysens
- Nuclear Medicine and Molecular Imaging, University Hospitals Leuven, Leuven, Belgium
| | - Julian D Gillmore
- National Amyloidosis Centre, Division of Medicine, University College London, London, United Kingdom
| | - Andor W J M Glaudemans
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Mazen A Hanna
- Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - Bouke P C Hazenberg
- Department of Rheumatology & Clinical Immunology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Arnt V Kristen
- Department of Cardiology, University of Heidelberg, Heidelberg, Germany
| | - Raymond Y Kwong
- Cardiac Amyloidosis Program, Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Mathew S Maurer
- Columbia University Medical Center/New York Presbyterian Hospital, Columbia University, NY, USA
| | - Giampaolo Merlini
- Amyloidosis Research and Treatment Center, Foundation Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia, Italy
- Department of Molecular Medicine, University of Pavia, Italy
| | - Edward J Miller
- Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - James C Moon
- National Amyloidosis Centre, Division of Medicine, University College London, London, United Kingdom
| | | | - C Cristina Quarta
- National Amyloidosis Centre, Division of Medicine, University College London, London, United Kingdom
| | - Claudio Rapezzi
- Cardiology Unit, Department of Experimental, Diagnostic and Specialty Medicine, Alma Mater-University of Bologna, Bologna, Italy
| | - Frederick L Ruberg
- Amyloidosis Center and Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Sanjiv J Shah
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Riemer H J A Slart
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Hein J Verberne
- Amsterdam UMC, University of Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands
| | - Jamieson M Bourque
- Cardiovascular Imaging Center, Departments of Medicine and Radiology, University of Virginia, Charlottesville, VA, USA
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Ibrahim EH, Frank L, Baruah D, Arpinar VE, Nencka AS, Koch KM, Muftuler LT, Unal O, Stojanovska J, Rubenstein JC, Brown SA, Charlson J, Gore EM, Bergom C. Value CMR: Towards a Comprehensive, Rapid, Cost-Effective Cardiovascular Magnetic Resonance Imaging. Int J Biomed Imaging 2021; 2021:8851958. [PMID: 34054936 DOI: 10.1155/2021/8851958] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 03/17/2021] [Accepted: 05/06/2021] [Indexed: 11/18/2022] Open
Abstract
Cardiac magnetic resonance imaging (CMR) is considered the gold standard for measuring cardiac function. Further, in a single CMR exam, information about cardiac structure, tissue composition, and blood flow could be obtained. Nevertheless, CMR is underutilized due to long scanning times, the need for multiple breath-holds, use of a contrast agent, and relatively high cost. In this work, we propose a rapid, comprehensive, contrast-free CMR exam that does not require repeated breath-holds, based on recent developments in imaging sequences. Time-consuming conventional sequences have been replaced by advanced sequences in the proposed CMR exam. Specifically, conventional 2D cine and phase-contrast (PC) sequences have been replaced by optimized 3D-cine and 4D-flow sequences, respectively. Furthermore, conventional myocardial tagging has been replaced by fast strain-encoding (SENC) imaging. Finally, T1 and T2 mapping sequences are included in the proposed exam, which allows for myocardial tissue characterization. The proposed rapid exam has been tested in vivo. The proposed exam reduced the scan time from >1 hour with conventional sequences to <20 minutes. Corresponding cardiovascular measurements from the proposed rapid CMR exam showed good agreement with those from conventional sequences and showed that they can differentiate between healthy volunteers and patients. Compared to 2D cine imaging that requires 12-16 separate breath-holds, the implemented 3D-cine sequence allows for whole heart coverage in 1-2 breath-holds. The 4D-flow sequence allows for whole-chest coverage in less than 10 minutes. Finally, SENC imaging reduces scan time to only one slice per heartbeat. In conclusion, the proposed rapid, contrast-free, and comprehensive cardiovascular exam does not require repeated breath-holds or to be supervised by a cardiac imager. These improvements make it tolerable by patients and would help improve cost effectiveness of CMR and increase its adoption in clinical practice.
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Zahergivar A, Kocher M, Waltz J, Kabakus I, Chamberlin J, Akkaya S, Agha AM, Schoepf UJ, Burt JR. The diagnostic value of non-contrast magnetic resonance coronary angiography in the assessment of coronary artery disease: A systematic review and meta-analysis. Heliyon 2021; 7:e06386. [PMID: 33817362 PMCID: PMC8010401 DOI: 10.1016/j.heliyon.2021.e06386] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [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] [Received: 11/18/2020] [Revised: 12/28/2020] [Accepted: 02/24/2021] [Indexed: 11/29/2022] Open
Abstract
Purpose The current literature reports a wide range of diagnostic accuracy of non-contrast magnetic resonance coronary angiography (NC-MRCA) for the assessment of coronary artery disease (CAD). We aimed to compare the clinical effectiveness of NC-MRCA with that of invasive coronary angiography (ICA) in patients with suspected CAD using a systematic review and meta-analysis. Methods Two investigators independently extracted 36 published manuscripts between 2010 and 2019. Databases including Medline, Web of Knowledge, Google Scholar, Scopus, and Cochrane were searched using pre-established keywords. Analysis of the data followed the PRISMA statement for reporting systematic reviews and meta-analyses and primary analysis followed the Mantel-Hansel methodology. Correctness of classification for detecting coronary artery stenosis ≥50% (CAS) was measured using ICA as the gold standard. Results A total of five studies met inclusion criteria, with a total of 417 patients and 2883 coronary segments. The pooled per patient sensitivity and specificity of NC-MRCA for CAS in suspected patients was 90.3% (95% CI 85.6–95.1%) and 77.9% (95% CI 69.5–86.3%). Pooled per vessel assessment of NC- MRCA revealed a sensitivity of 83.7% (95%CI 79.7–87.8%) and specificity of 90.0% (95%CI 86.7–93.4%). Per-segment assessment of NC-MRCA showed a pooled sensitivity of 81.6% (95% CI 76.8–86.4) and specificity of 97.0% (95% CI 95.5–98.5). Mild to moderate heterogeneity was noted in most diagnostic parameters with larger heterogeneity noted in the per-segment analyses. There was less heterogeneity in sensitivity and NPV than specificity and PPV. Conclusion According to this meta-analysis, non-contrast coronary MRA resulted in adequate screening in patients with suspected CAD with high sensitivity and specificity. This result was true for per-patient, per-vessel, and per-segment assessment.
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Affiliation(s)
- Aryan Zahergivar
- Department of Radiology, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC, USA
| | - Madison Kocher
- Department of Radiology, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC, USA
| | - Jeffrey Waltz
- Department of Radiology, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC, USA
| | - Ismail Kabakus
- Department of Radiology, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC, USA
| | - Jordan Chamberlin
- Department of Radiology, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC, USA
| | - Selcuk Akkaya
- Department of Radiology, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC, USA
| | - Ali M Agha
- Department of Internal Medicine, Division of Cardiology, Baylor College of Medicine, Houston, TX, USA
| | - U Joseph Schoepf
- Department of Radiology, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC, USA
| | - Jeremy R Burt
- Department of Radiology, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC, USA
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Yamagishi M, Tamaki N, Akasaka T, Ikeda T, Ueshima K, Uemura S, Otsuji Y, Kihara Y, Kimura K, Kimura T, Kusama Y, Kumita S, Sakuma H, Jinzaki M, Daida H, Takeishi Y, Tada H, Chikamori T, Tsujita K, Teraoka K, Nakajima K, Nakata T, Nakatani S, Nogami A, Node K, Nohara A, Hirayama A, Funabashi N, Miura M, Mochizuki T, Yokoi H, Yoshioka K, Watanabe M, Asanuma T, Ishikawa Y, Ohara T, Kaikita K, Kasai T, Kato E, Kamiyama H, Kawashiri M, Kiso K, Kitagawa K, Kido T, Kinoshita T, Kiriyama T, Kume T, Kurata A, Kurisu S, Kosuge M, Kodani E, Sato A, Shiono Y, Shiomi H, Taki J, Takeuchi M, Tanaka A, Tanaka N, Tanaka R, Nakahashi T, Nakahara T, Nomura A, Hashimoto A, Hayashi K, Higashi M, Hiro T, Fukamachi D, Matsuo H, Matsumoto N, Miyauchi K, Miyagawa M, Yamada Y, Yoshinaga K, Wada H, Watanabe T, Ozaki Y, Kohsaka S, Shimizu W, Yasuda S, Yoshino H. JCS 2018 Guideline on Diagnosis of Chronic Coronary Heart Diseases. Circ J 2021; 85:402-572. [PMID: 33597320 DOI: 10.1253/circj.cj-19-1131] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
| | - Nagara Tamaki
- Department of Radiology, Kyoto Prefectural University of Medicine Graduate School
| | - Takashi Akasaka
- Department of Cardiovascular Medicine, Wakayama Medical University
| | - Takanori Ikeda
- Department of Cardiovascular Medicine, Toho University Graduate School
| | - Kenji Ueshima
- Center for Accessing Early Promising Treatment, Kyoto University Hospital
| | - Shiro Uemura
- Department of Cardiology, Kawasaki Medical School
| | - Yutaka Otsuji
- Second Department of Internal Medicine, University of Occupational and Environmental Health, Japan
| | - Yasuki Kihara
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences
| | - Kazuo Kimura
- Division of Cardiology, Yokohama City University Medical Center
| | - Takeshi Kimura
- Department of Cardiovascular Medicine, Kyoto University Graduate School
| | | | | | - Hajime Sakuma
- Department of Radiology, Mie University Graduate School
| | | | - Hiroyuki Daida
- Department of Cardiovascular Medicine, Juntendo University Graduate School
| | | | - Hiroshi Tada
- Department of Cardiovascular Medicine, University of Fukui
| | | | - Kenichi Tsujita
- Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University
| | | | - Kenichi Nakajima
- Department of Functional Imaging and Artificial Intelligence, Kanazawa Universtiy
| | | | - Satoshi Nakatani
- Division of Functional Diagnostics, Department of Health Sciences, Osaka University Graduate School of Medicine
| | | | - Koichi Node
- Department of Cardiovascular Medicine, Saga University
| | - Atsushi Nohara
- Division of Clinical Genetics, Ishikawa Prefectural Central Hospital
| | | | | | - Masaru Miura
- Department of Cardiology, Tokyo Metropolitan Children's Medical Center
| | | | | | | | - Masafumi Watanabe
- Department of Cardiology, Pulmonology, and Nephrology, Yamagata University
| | - Toshihiko Asanuma
- Division of Functional Diagnostics, Department of Health Sciences, Osaka University Graduate School
| | - Yuichi Ishikawa
- Department of Pediatric Cardiology, Fukuoka Children's Hospital
| | - Takahiro Ohara
- Division of Community Medicine, Tohoku Medical and Pharmaceutical University
| | - Koichi Kaikita
- Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University
| | - Tokuo Kasai
- Department of Cardiology, Uonuma Kinen Hospital
| | - Eri Kato
- Department of Cardiovascular Medicine, Department of Clinical Laboratory, Kyoto University Hospital
| | | | - Masaaki Kawashiri
- Department of Cardiovascular and Internal Medicine, Kanazawa University
| | - Keisuke Kiso
- Department of Diagnostic Radiology, Tohoku University Hospital
| | - Kakuya Kitagawa
- Department of Advanced Diagnostic Imaging, Mie University Graduate School
| | - Teruhito Kido
- Department of Radiology, Ehime University Graduate School
| | | | | | | | - Akira Kurata
- Department of Radiology, Ehime University Graduate School
| | - Satoshi Kurisu
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences
| | - Masami Kosuge
- Division of Cardiology, Yokohama City University Medical Center
| | - Eitaro Kodani
- Department of Internal Medicine and Cardiology, Nippon Medical School Tama Nagayama Hospital
| | - Akira Sato
- Department of Cardiology, University of Tsukuba
| | - Yasutsugu Shiono
- Department of Cardiovascular Medicine, Wakayama Medical University
| | - Hiroki Shiomi
- Department of Cardiovascular Medicine, Kyoto University Graduate School
| | - Junichi Taki
- Department of Nuclear Medicine, Kanazawa University
| | - Masaaki Takeuchi
- Department of Laboratory and Transfusion Medicine, Hospital of the University of Occupational and Environmental Health, Japan
| | | | - Nobuhiro Tanaka
- Department of Cardiology, Tokyo Medical University Hachioji Medical Center
| | - Ryoichi Tanaka
- Department of Reconstructive Oral and Maxillofacial Surgery, Iwate Medical University
| | | | | | - Akihiro Nomura
- Innovative Clinical Research Center, Kanazawa University Hospital
| | - Akiyoshi Hashimoto
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University
| | - Kenshi Hayashi
- Department of Cardiovascular Medicine, Kanazawa University Hospital
| | - Masahiro Higashi
- Department of Radiology, National Hospital Organization Osaka National Hospital
| | - Takafumi Hiro
- Division of Cardiology, Department of Medicine, Nihon University
| | | | - Hitoshi Matsuo
- Department of Cardiovascular Medicine, Gifu Heart Center
| | - Naoya Matsumoto
- Division of Cardiology, Department of Medicine, Nihon University
| | | | | | | | - Keiichiro Yoshinaga
- Department of Diagnostic and Therapeutic Nuclear Medicine, Molecular Imaging at the National Institute of Radiological Sciences
| | - Hideki Wada
- Department of Cardiology, Juntendo University Shizuoka Hospital
| | - Tetsu Watanabe
- Department of Cardiology, Pulmonology, and Nephrology, Yamagata University
| | - Yukio Ozaki
- Department of Cardiology, Fujita Medical University
| | - Shun Kohsaka
- Department of Cardiology, Keio University School of Medicine
| | - Wataru Shimizu
- Department of Cardiovascular Medicine, Nippon Medical School
| | - Satoshi Yasuda
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine
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Golpour A, Patriki D, Hanson PJ, McManus B, Heidecker B. Epidemiological Impact of Myocarditis. J Clin Med 2021; 10:603. [PMID: 33562759 PMCID: PMC7915005 DOI: 10.3390/jcm10040603] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [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] [Received: 01/13/2021] [Revised: 01/24/2021] [Accepted: 02/01/2021] [Indexed: 02/06/2023] Open
Abstract
Myocarditis is an inflammatory disease of the heart muscle with a wide range of potential etiological factors and consequently varying clinical patterns across the world. In this review, we address the epidemiology of myocarditis. Myocarditis was considered a rare disease until intensified research efforts in recent decades revealed its true epidemiological importance. While it remains a challenge to determine the true prevalence of myocarditis, studies are underway to obtain better approximations of the proportions of this disease. Nowadays, the prevalence of myocarditis has been reported from 10.2 to 105.6 per 100,000 worldwide, and its annual occurrence is estimated at about 1.8 million cases. This wide range of reported cases reflects the uncertainty surrounding the true prevalence and a potential underdiagnosis of this disease. Since myocarditis continues to be a significant public health issue, particularly in young adults in whom myocarditis is among the most common causes of sudden cardiac death, improved diagnostic and therapeutic procedures are necessary. This manuscript aims to summarize the current knowledge on the epidemiology of myocarditis, new diagnostic approaches and the current epidemiological impact of the COVID-19 pandemic.
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Affiliation(s)
- Ainoosh Golpour
- Campus Benjamin Franklin, Charite Universitätsmedizin Berlin, 12203 Berlin, Germany;
| | - Dimitri Patriki
- Department of Medicine, Cantonal Hospital of Baden, 15005 Baden, Switzerland;
| | - Paul J. Hanson
- Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC V5K0A1, Canada; (P.J.H.); (B.M.)
| | - Bruce McManus
- Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC V5K0A1, Canada; (P.J.H.); (B.M.)
| | - Bettina Heidecker
- Campus Benjamin Franklin, Charite Universitätsmedizin Berlin, 12203 Berlin, Germany;
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Abstract
The 4th Universal Definition of Myocardial Infarction has stimulated considerable debate since its publication in 2018. The intention was to define the types of myocardial injury through the lens of their underpinning pathophysiology. In this review, we discuss how the 4th Universal Definition of Myocardial Infarction defines infarction and injury and the necessary pragmatic adjustments that appear in clinical guidelines to maximize triage of real-world patients.
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Affiliation(s)
- Thomas E Kaier
- King's College London BHF Centre, The Rayne Institute, 4th Floor, Lambeth Wing, St Thomas' Hospital, Westminster Bridge Road, London SE1 7EH, UK
| | - Bashir Alaour
- King's College London BHF Centre, The Rayne Institute, 4th Floor, Lambeth Wing, St Thomas' Hospital, Westminster Bridge Road, London SE1 7EH, UK
| | - Michael Marber
- King's College London BHF Centre, The Rayne Institute, 4th Floor, Lambeth Wing, St Thomas' Hospital, Westminster Bridge Road, London SE1 7EH, UK
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