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Liu H, Zheng Y, Huo H, Peng X, Yang J, Ma C, Liu T. Case Report: Left ventricular apical hypertrophy in a patient with Leopard syndrome mimicking a cardiac tumor: a diagnostic challenge resolved by multimodality imaging. Front Cardiovasc Med 2024; 11:1378078. [PMID: 39105075 PMCID: PMC11299493 DOI: 10.3389/fcvm.2024.1378078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 06/24/2024] [Indexed: 08/07/2024] Open
Abstract
Background LEOPARD syndrome (LS) is a rare genetic disorder presenting various clinical manifestations from childhood, complicating its diagnosis. In this study, we aim to refine the imaging presentation of LS and emphasize the importance of multimodality imaging in enhancing diagnostic accuracy and preventing serious cardiovascular events. Case A 41-year-old woman was admitted to hospital with a suspected apical tumor detected by a transthoracic echocardiogram (TTE), which was later identified as apical myocardial hypertrophy through cardiac magnetic resonance imaging (CMR). She had abnormal electrocardiograms from the age of 2 years and freckles around the age of 4 years. In recent years, she has been experiencing exertional dyspnea. Supplemental coronary computer tomography angiography (CCTA) revealed diffuse coronary dilatation. Both multimodality imaging and clinical manifestations led to a suspicion of LS, which was confirmed by subsequent genetic testing. The patient declined further treatment. A 3-month follow-up CMR showed no significant change in the lesion. Conclusion This report elucidates the diagnostic transition from an initial suspicion of an apical tumor by TTE to a definitive diagnosis of left ventricular apical hypertrophy by CMR in a 41-year-old woman with LS. It underscores the value of multimodality imaging (TTE, CCTA, CMR) in unraveling unusual cardiac manifestations in rare genetic disorders such as LS.
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Affiliation(s)
- Hui Liu
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Yue Zheng
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Huaibi Huo
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Xin Peng
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China
- Department of Radiology, The Third People’s Hospital of Chengdu, Chengdu, China
| | - Jun Yang
- Department of Cardiovascular Ultrasound, The First Hospital of China Medical University, Shenyang, China
| | - Chunyan Ma
- Department of Cardiovascular Ultrasound, The First Hospital of China Medical University, Shenyang, China
| | - Ting Liu
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China
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2
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Gannon MP, Sison CP, Saba SG. Regional Analysis of Myocardial Strain to Wall Thickness Ratio in Cardiac Amyloidosis and Hypertrophic Cardiomyopathy. J Thorac Imaging 2024; 39:255-264. [PMID: 38193208 DOI: 10.1097/rti.0000000000000772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2024]
Abstract
BACKGROUND Increased left ventricular wall thickness is a hallmark of cardiac amyloidosis (CA). Several other disease states, including hypertrophic cardiomyopathy (HCM), share this common feature. Myocardial strain has emerged as a diagnostic and prognostic tool to differentiate causes of increased left ventricular wall thickness. We sought to determine if regional strain differences were present in CA when compared with HCM when indexed to wall thickness as well as adjusting for important factors such as ejection fraction (EF), age, sex, and hypertension. METHODS We performed a multicenter, retrospective analysis of 122 patients in 3 groups: CA (n=40), HCM (n=44), and controls (n=38). Using commercially available software, we determined peak systolic strain measurements in the base, mid, and apical segments in all 3 cardinal directions of radial strain, circumferential strain, and longitudinal strain. The regional strain was indexed to wall thickness to create a strain to wall thickness (STT) ratio. Analysis of Variance was performed to examine the association of each strain parameter with the disease group, adjusting for age, sex, hypertension, and EF. Multinomial logistic regression was performed to determine which combination of variables can potentially be used to best model the disease group. RESULTS Ratios of STT at all 3 levels were significantly different with respect to the cardinal directions of radial, circumferential, and longitudinal strain in a multivariable analysis adjusting for age, sex, and hypertension. Specifically, with respect to the basal segments, the STT ratio across CA, HCM, and normal were significantly different in radial (1.13±0.34 vs. 3.79±0.22 vs. 4.12±0.38; P <0.0001), circumferential (-0.79±0.10 vs. -1.62±0.07 vs. -2.25±0.11; P <0.0001), and longitudinal directions (-0.41±0.09 vs. -1.03±0.06 vs. -1.41±0.10; P <0.0001). When adjusting for age, sex, hypertension and EF, only the base was significantly different between the CA and HCM groups in the radial (1.49±0.37 vs. 3.53±0.24; P <0.0001), circumferential -1.04±0.10 vs. -1.44±0.06; P <0.005), and longitudinal (-0.55±0.10 vs -0.94±0.06; P =0.007) directions. Using multinomial logistic regression, the use of age, left ventricular EF, global longitudinal strain, and basal radial strain yielded a diagnostic model with an area under the receiver operating characteristic curve (AUC) of 0.98. A model excluding age, despite being likely an independent predictor in our cohort, yielded an overall AUC of 0.90. When excluding age, the overall AUC was 0.91 and specifically when discriminating CA from HCM was 0.95. CONCLUSIONS Regional myocardial strain indexed to wall thickness with an STT ratio can differentiate between etiologies of increased left ventricular wall thickness. Differences in myocardial deformation may be independent of wall thickness. Differences in basal strain when indexed to wall thickness in all 3 cardinal directions between CA and HCM are independent of EF. Multinomial logistic regression analysis using strain parameters differentiates CA and HCM with excellent diagnostic accuracy.
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Affiliation(s)
- Michael P Gannon
- Lewis Katz School of Medicine, Temple University Hospital, Philadelphia, PA
- National Heart, Lung, and Blood Institute, NIH, Bethesda, MD
| | - Cristina P Sison
- Biostatistics Unit, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY
- Department of Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY
| | - Shahryar G Saba
- Department of Cardiology, Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY
- Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY
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Zhang Y, Adamo M, Zou C, Porcari A, Tomasoni D, Rossi M, Merlo M, Liu H, Wang J, Zhou P, Metra M, Sinagra G, Zhang J. Management of hypertrophic cardiomyopathy. J Cardiovasc Med (Hagerstown) 2024; 25:399-419. [PMID: 38625835 PMCID: PMC11142653 DOI: 10.2459/jcm.0000000000001616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 03/06/2024] [Accepted: 03/09/2024] [Indexed: 04/18/2024]
Abstract
Hypertrophic cardiomyopathy is an important cause of heart failure and arrhythmias, including sudden death, with a major impact on the healthcare system. Genetic causes and different phenotypes are now increasingly being identified for this condition. In addition, specific medications, such as myosin inhibitors, have been recently shown as potentially able to modify its symptoms, hemodynamic abnormalities and clinical course. Our article aims to provide a comprehensive outline of the epidemiology, diagnosis and treatment of hypertrophic cardiomyopathy in the current era.
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Affiliation(s)
- Yuhui Zhang
- Heart Failure Care Unit, Heart Failure Center, Fuwai Hospital, Chinese Academy of Medical Sciences, Peking Union of Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Marianna Adamo
- Cardiology, ASST Spedali Civili and Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia
| | - Changhong Zou
- Heart Failure Care Unit, Heart Failure Center, Fuwai Hospital, Chinese Academy of Medical Sciences, Peking Union of Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Aldostefano Porcari
- Division of Cardiology, Cardiovascular Department, Azienda Sanitaria Universitaria Integrata di Trieste, Trieste, Italy
| | - Daniela Tomasoni
- Cardiology, ASST Spedali Civili and Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia
| | - Maddalena Rossi
- Division of Cardiology, Cardiovascular Department, Azienda Sanitaria Universitaria Integrata di Trieste, Trieste, Italy
| | - Marco Merlo
- Division of Cardiology, Cardiovascular Department, Azienda Sanitaria Universitaria Integrata di Trieste, Trieste, Italy
| | - Huihui Liu
- Heart Failure Care Unit, Heart Failure Center, Fuwai Hospital, Chinese Academy of Medical Sciences, Peking Union of Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Jinxi Wang
- Heart Failure Care Unit, Heart Failure Center, Fuwai Hospital, Chinese Academy of Medical Sciences, Peking Union of Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Ping Zhou
- Heart Failure Care Unit, Heart Failure Center, Fuwai Hospital, Chinese Academy of Medical Sciences, Peking Union of Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Marco Metra
- Cardiology, ASST Spedali Civili and Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia
| | - Gianfranco Sinagra
- Division of Cardiology, Cardiovascular Department, Azienda Sanitaria Universitaria Integrata di Trieste, Trieste, Italy
| | - Jian Zhang
- Heart Failure Care Unit, Heart Failure Center, Fuwai Hospital, Chinese Academy of Medical Sciences, Peking Union of Medical College, National Center for Cardiovascular Diseases, Beijing, China
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4
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Spaapen TOM, Bohte AE, Slieker MG, Grotenhuis HB. Cardiac MRI in diagnosis, prognosis, and follow-up of hypertrophic cardiomyopathy in children: current perspectives. Br J Radiol 2024; 97:875-881. [PMID: 38331407 PMCID: PMC11075988 DOI: 10.1093/bjr/tqae033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 09/15/2023] [Accepted: 02/03/2024] [Indexed: 02/10/2024] Open
Abstract
Hypertrophic Cardiomyopathy (HCM) is an inherited myocardial disease characterised by left ventricular hypertrophy, which carries an increased risk of life-threatening arrhythmias and sudden cardiac death. The age of presentation and the underlying aetiology have a significant impact on the prognosis and quality of life of children with HCM, as childhood-onset HCM is associated with high mortality risk and poor long-term outcomes. Accurate cardiac assessment and identification of the HCM phenotype are therefore crucial to determine the diagnosis, prognostic stratification, and follow-up. Cardiac magnetic resonance (CMR) is a comprehensive evaluation tool capable of providing information on cardiac morphology and function, flow, perfusion, and tissue characterisation. CMR allows to detect subtle abnormalities in the myocardial composition and characterise the heterogeneous phenotypic expression of HCM. In particular, the detection of the degree and extent of myocardial fibrosis, using late-gadolinium enhanced sequences or parametric mapping, is unique for CMR and is of additional value in the clinical assessment and prognostic stratification of paediatric HCM patients. Additionally, childhood HCM can be progressive over time. The rate, timing, and degree of disease progression vary from one patient to the other, so close cardiac monitoring and serial follow-up throughout the life of the diagnosed patients is of paramount importance. In this review, an update of the use of CMR in childhood HCM is provided, focussing on its clinical role in diagnosis, prognosis, and serial follow-up.
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Affiliation(s)
- Tessa O M Spaapen
- Department of Paediatric Cardiology, University Medical Centre Utrecht/Wilhelmina Children's Hospital, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Anneloes E Bohte
- Department of Radiology and Nuclear Medicine, University Medical Centre Utrecht/Wilhelmina Children's Hospital, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Martijn G Slieker
- Department of Paediatric Cardiology, University Medical Centre Utrecht/Wilhelmina Children's Hospital, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Heynric B Grotenhuis
- Department of Paediatric Cardiology, University Medical Centre Utrecht/Wilhelmina Children's Hospital, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
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Chen WW, Kuo L, Lin YX, Yu WC, Tseng CC, Lin YJ, Huang CC, Chang SL, Wu JCH, Chen CK, Weng CY, Chan S, Lin WW, Hsieh YC, Lin MC, Fu YC, Chen T, Chen SA, Lu HHS. A Deep Learning Approach to Classify Fabry Cardiomyopathy from Hypertrophic Cardiomyopathy Using Cine Imaging on Cardiac Magnetic Resonance. Int J Biomed Imaging 2024; 2024:6114826. [PMID: 38706878 PMCID: PMC11068448 DOI: 10.1155/2024/6114826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 03/20/2024] [Accepted: 03/23/2024] [Indexed: 05/07/2024] Open
Abstract
A challenge in accurately identifying and classifying left ventricular hypertrophy (LVH) is distinguishing it from hypertrophic cardiomyopathy (HCM) and Fabry disease. The reliance on imaging techniques often requires the expertise of multiple specialists, including cardiologists, radiologists, and geneticists. This variability in the interpretation and classification of LVH leads to inconsistent diagnoses. LVH, HCM, and Fabry cardiomyopathy can be differentiated using T1 mapping on cardiac magnetic resonance imaging (MRI). However, differentiation between HCM and Fabry cardiomyopathy using echocardiography or MRI cine images is challenging for cardiologists. Our proposed system named the MRI short-axis view left ventricular hypertrophy classifier (MSLVHC) is a high-accuracy standardized imaging classification model developed using AI and trained on MRI short-axis (SAX) view cine images to distinguish between HCM and Fabry disease. The model achieved impressive performance, with an F1-score of 0.846, an accuracy of 0.909, and an AUC of 0.914 when tested on the Taipei Veterans General Hospital (TVGH) dataset. Additionally, a single-blinding study and external testing using data from the Taichung Veterans General Hospital (TCVGH) demonstrated the reliability and effectiveness of the model, achieving an F1-score of 0.727, an accuracy of 0.806, and an AUC of 0.918, demonstrating the model's reliability and usefulness. This AI model holds promise as a valuable tool for assisting specialists in diagnosing LVH diseases.
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Affiliation(s)
- Wei-Wen Chen
- Institute of Computer Science and Engineering, National Yang-Ming University, Hsinchu, Taiwan
| | - Ling Kuo
- Faculty of Medicine and Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan
| | - Yi-Xun Lin
- Institute of Statistics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Wen-Chung Yu
- Faculty of Medicine and Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chien-Chao Tseng
- Institute of Computer Science and Engineering, National Yang-Ming University, Hsinchu, Taiwan
| | - Yenn-Jiang Lin
- Faculty of Medicine and Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Ching-Chun Huang
- Institute of Computer Science and Engineering, National Yang-Ming University, Hsinchu, Taiwan
| | - Shih-Lin Chang
- Faculty of Medicine and Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Jacky Chung-Hao Wu
- Institute of Statistics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Chun-Ku Chen
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Ching-Yao Weng
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Siwa Chan
- Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Post-Baccalaureate Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Wei-Wen Lin
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Yu-Cheng Hsieh
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Ming-Chih Lin
- Department of Post-Baccalaureate Medicine, National Chung Hsing University, Taichung, Taiwan
- Department of Pediatric Cardiology, Taichung Veterans General Hospital, Taichung, Taiwan
- Children's Medical Center, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Yun-Ching Fu
- Department of Pediatric Cardiology, Taichung Veterans General Hospital, Taichung, Taiwan
- Children's Medical Center, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Pediatrics, School of Medicine, National Chung-Hsing University, Taichung, Taiwan
| | - Tsung Chen
- Institute of Statistics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Shih-Ann Chen
- Faculty of Medicine and Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
- College of Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Henry Horng-Shing Lu
- Institute of Statistics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Department of Statistics and Data Science, Cornell University, Ithaca, New York, USA
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6
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Borrelli F, Lombardi R, Canciello G, Frisso G, Todde G, Esposito G, Losi MA. Mechano-energetic efficiency in patients with hypertrophic cardiomyopathy with and without sarcomeric mutations. J Cardiovasc Transl Res 2024; 17:458-466. [PMID: 37833437 DOI: 10.1007/s12265-023-10441-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 09/18/2023] [Indexed: 10/15/2023]
Abstract
Hypertrophic cardiomyopathy (HCM) is mainly caused by sarcomeric mutations which may affect myocardial mechano-energetic efficiency (MEE). We investigated the effects of sarcomeric mutations on MEE. A non-invasive pressure/volume (P/V) analysis was performed. We included 49 genetically screened HCM patients. MEEi was calculated as the ratio between stroke volume and heart rate normalized by LV mass. Fifty-seven percent (57%) HCM patients carried a sarcomeric mutation. Patients with and without sarcomeric mutations had similar LV ejection fraction, heart rate, LV mass, and LV outflow gradient. Younger age at diagnosis, family history of HCM, and lower MEEi were associated with presence of sarcomeric mutation (p = 0.017; p = 0.001 and p = 0.0001, respectively). Lower MEEi in HCM with sarcomeric mutation is not related to significant differences on filling pressure as shown on P/V analysis. Sarcomeric mutations determine a reduction of the LV pump performance as estimated by MEEi in HCM. Lower MEEi may predict a positive genetic analysis.
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Affiliation(s)
- Felice Borrelli
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, 5, I-801313, Naples, Italy
| | - Raffaella Lombardi
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, 5, I-801313, Naples, Italy
| | - Grazia Canciello
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, 5, I-801313, Naples, Italy
| | - Giulia Frisso
- Department of Molecular Medicine and Medical Biotechnologies, University Federico II of Naples, Via S Pansini, 5, I-801313, Naples, Italy
| | - Gaetano Todde
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, 5, I-801313, Naples, Italy
| | - Giovanni Esposito
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, 5, I-801313, Naples, Italy
| | - Maria-Angela Losi
- Department of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, 5, I-801313, Naples, Italy.
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7
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Villalobos LER, Muñoz ANR. Unexpected myocardium: Benign finding or pathological debut? Eur J Intern Med 2024; 121:129-130. [PMID: 38182523 DOI: 10.1016/j.ejim.2023.12.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 12/18/2023] [Accepted: 12/27/2023] [Indexed: 01/07/2024]
Affiliation(s)
- Liliana Estefania Ramos Villalobos
- Nuevo Hospital Civil de Guadalajara Dr. Juan I Menchaca, Salvador Quevedo y Zubieta 750, Independencia Norte, CP, Guadalajara, Jalisco 44340, Mexico.
| | - Amayrani Nayle Romero Muñoz
- Nuevo Hospital Civil de Guadalajara Dr. Juan I Menchaca, Salvador Quevedo y Zubieta 750, Independencia Norte, CP, Guadalajara, Jalisco 44340, Mexico
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8
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Alajmi F, Kang M, Dundas J, Haenel A, Parker J, Blanke P, Coghlan F, Khoo JK, Bin Zaid AA, Singh A, Heydari B, Yeung D, Roston TM, Ong K, Leipsic J, Laksman Z. Novel Magnetic Resonance Imaging Tools for Hypertrophic Cardiomyopathy Risk Stratification. Life (Basel) 2024; 14:200. [PMID: 38398708 PMCID: PMC10889913 DOI: 10.3390/life14020200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 01/22/2024] [Accepted: 01/23/2024] [Indexed: 02/25/2024] Open
Abstract
Hypertrophic cardiomyopathy (HCM) is a common genetic disorder with a well described risk of sudden cardiac death; however, risk stratification has remained a challenge. Recently, novel parameters in cardiac magnetic resonance imaging (CMR) have shown promise in helping to improve upon current risk stratification paradigms. In this manuscript, we have reviewed novel CMR risk markers and their utility in HCM. The results of the review showed that T1, extracellular volume, CMR feature tracking, and other miscellaneous novel CMR variables have the potential to improve sudden death risk stratification and may have additional roles in diagnosis and prognosis. The strengths and weaknesses of these imaging techniques, and their potential utility and implementation in HCM risk stratification are discussed.
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Affiliation(s)
- Fahad Alajmi
- Center for Cardiovascular Innovation, Division of Cardiology, Department of Medicine, University of British Columbia, 2775 Laurel St, 9th Floor, Vancouver, BC V5Z 1M9, Canada; (M.K.); (A.H.); (J.P.); (P.B.); (F.C.); (J.K.K.); (A.A.B.Z.); (B.H.); (D.Y.); (T.M.R.); (K.O.)
| | - Mehima Kang
- Center for Cardiovascular Innovation, Division of Cardiology, Department of Medicine, University of British Columbia, 2775 Laurel St, 9th Floor, Vancouver, BC V5Z 1M9, Canada; (M.K.); (A.H.); (J.P.); (P.B.); (F.C.); (J.K.K.); (A.A.B.Z.); (B.H.); (D.Y.); (T.M.R.); (K.O.)
| | - James Dundas
- Department of Radiology, University of British Columbia, 2775 Laurel Street, 11th Floor, Vancouver, BC V5Z 1M9, Canada; (J.D.); (J.L.)
- Department of Cardiology, North Tees and Hartlepool NHS Foundation Trust, Hardwick Rd, Hardwick, Stockton-on-Tees TS19 8PE, UK
| | - Alexander Haenel
- Center for Cardiovascular Innovation, Division of Cardiology, Department of Medicine, University of British Columbia, 2775 Laurel St, 9th Floor, Vancouver, BC V5Z 1M9, Canada; (M.K.); (A.H.); (J.P.); (P.B.); (F.C.); (J.K.K.); (A.A.B.Z.); (B.H.); (D.Y.); (T.M.R.); (K.O.)
| | - Jeremy Parker
- Center for Cardiovascular Innovation, Division of Cardiology, Department of Medicine, University of British Columbia, 2775 Laurel St, 9th Floor, Vancouver, BC V5Z 1M9, Canada; (M.K.); (A.H.); (J.P.); (P.B.); (F.C.); (J.K.K.); (A.A.B.Z.); (B.H.); (D.Y.); (T.M.R.); (K.O.)
| | - Philipp Blanke
- Center for Cardiovascular Innovation, Division of Cardiology, Department of Medicine, University of British Columbia, 2775 Laurel St, 9th Floor, Vancouver, BC V5Z 1M9, Canada; (M.K.); (A.H.); (J.P.); (P.B.); (F.C.); (J.K.K.); (A.A.B.Z.); (B.H.); (D.Y.); (T.M.R.); (K.O.)
- Department of Radiology, University of British Columbia, 2775 Laurel Street, 11th Floor, Vancouver, BC V5Z 1M9, Canada; (J.D.); (J.L.)
| | - Fionn Coghlan
- Center for Cardiovascular Innovation, Division of Cardiology, Department of Medicine, University of British Columbia, 2775 Laurel St, 9th Floor, Vancouver, BC V5Z 1M9, Canada; (M.K.); (A.H.); (J.P.); (P.B.); (F.C.); (J.K.K.); (A.A.B.Z.); (B.H.); (D.Y.); (T.M.R.); (K.O.)
| | - John King Khoo
- Center for Cardiovascular Innovation, Division of Cardiology, Department of Medicine, University of British Columbia, 2775 Laurel St, 9th Floor, Vancouver, BC V5Z 1M9, Canada; (M.K.); (A.H.); (J.P.); (P.B.); (F.C.); (J.K.K.); (A.A.B.Z.); (B.H.); (D.Y.); (T.M.R.); (K.O.)
| | - Abdulaziz A. Bin Zaid
- Center for Cardiovascular Innovation, Division of Cardiology, Department of Medicine, University of British Columbia, 2775 Laurel St, 9th Floor, Vancouver, BC V5Z 1M9, Canada; (M.K.); (A.H.); (J.P.); (P.B.); (F.C.); (J.K.K.); (A.A.B.Z.); (B.H.); (D.Y.); (T.M.R.); (K.O.)
| | - Amrit Singh
- Department of Anesthesiology, Pharmacology and Therapeutics, The University of British Columbia, Medical Sciences, 2176 Health Sciences Mall Block C217, Vancouver, BC V6T 2A1, Canada;
| | - Bobby Heydari
- Center for Cardiovascular Innovation, Division of Cardiology, Department of Medicine, University of British Columbia, 2775 Laurel St, 9th Floor, Vancouver, BC V5Z 1M9, Canada; (M.K.); (A.H.); (J.P.); (P.B.); (F.C.); (J.K.K.); (A.A.B.Z.); (B.H.); (D.Y.); (T.M.R.); (K.O.)
| | - Darwin Yeung
- Center for Cardiovascular Innovation, Division of Cardiology, Department of Medicine, University of British Columbia, 2775 Laurel St, 9th Floor, Vancouver, BC V5Z 1M9, Canada; (M.K.); (A.H.); (J.P.); (P.B.); (F.C.); (J.K.K.); (A.A.B.Z.); (B.H.); (D.Y.); (T.M.R.); (K.O.)
| | - Thomas M. Roston
- Center for Cardiovascular Innovation, Division of Cardiology, Department of Medicine, University of British Columbia, 2775 Laurel St, 9th Floor, Vancouver, BC V5Z 1M9, Canada; (M.K.); (A.H.); (J.P.); (P.B.); (F.C.); (J.K.K.); (A.A.B.Z.); (B.H.); (D.Y.); (T.M.R.); (K.O.)
| | - Kevin Ong
- Center for Cardiovascular Innovation, Division of Cardiology, Department of Medicine, University of British Columbia, 2775 Laurel St, 9th Floor, Vancouver, BC V5Z 1M9, Canada; (M.K.); (A.H.); (J.P.); (P.B.); (F.C.); (J.K.K.); (A.A.B.Z.); (B.H.); (D.Y.); (T.M.R.); (K.O.)
| | - Jonathon Leipsic
- Department of Radiology, University of British Columbia, 2775 Laurel Street, 11th Floor, Vancouver, BC V5Z 1M9, Canada; (J.D.); (J.L.)
| | - Zachary Laksman
- Center for Cardiovascular Innovation, Division of Cardiology, Department of Medicine, University of British Columbia, 2775 Laurel St, 9th Floor, Vancouver, BC V5Z 1M9, Canada; (M.K.); (A.H.); (J.P.); (P.B.); (F.C.); (J.K.K.); (A.A.B.Z.); (B.H.); (D.Y.); (T.M.R.); (K.O.)
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9
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Seitler S, De Zoysa Anthony S, Obianyo CCC, Syrris P, Patel V, Sado DM, Maestrini V, Castelletti S, Walsh S, O’Brien B, Moon JC, Captur G. Systolic anterior motion of the anterior mitral valve leaflet begins in subclinical hypertrophic cardiomyopathy. Eur Heart J Cardiovasc Imaging 2023; 25:86-94. [PMID: 37523765 PMCID: PMC10735306 DOI: 10.1093/ehjci/jead186] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 06/20/2023] [Accepted: 07/18/2023] [Indexed: 08/02/2023] Open
Abstract
AIMS Anterior mitral valve leaflet (AMVL) elongation is detectable in overt and subclinical hypertrophic cardiomyopathy (HCM). We sought to investigate the dynamic motion of the aorto-mitral apparatus to understand the behaviour of the AMVL and the mechanisms of left ventricular outflow tract obstruction (LVOTO) predisposition in HCM. METHODS AND RESULTS Cardiovascular magnetic resonance imaging using a 1.5 Tesla scanner was performed on 36 HCM sarcomere gene mutation carriers without left ventricular hypertrophy (G+LVH-), 31 HCM patients with preserved ejection fraction carrying a pathogenic sarcomere gene mutation (G+LVH+), and 53 age-, sex-, and body surface area-matched healthy volunteers. Dynamic excursion of the aorto-mitral apparatus was assessed semi-automatically on breath-held three-chamber cine steady-state free precession images. Four pre-defined regions of interest (ROIs) were tracked: ROIPMVL: hinge point of the posterior mitral valve leaflet; ROITRIG: intertrigonal mitral annulus; ROIAMVL: AMVL tip; and ROIAAO: anterior aortic annulus. Compared with controls, normalized two-dimensional displacement-vs.-time plots in G+LVH- revealed subtle but significant systolic anterior motion (SAM) of the AMVL (P < 0.0001) and reduced longitudinal excursion of ROIAAO (P = 0.014) and ROIPMVL (P = 0.048). In overt and subclinical HCM, excursion of the ROITRIG/AMVL/PMVL was positively associated with the burden of left ventricular fibrosis (P < 0.028). As expected, SAM was observed in G+LVH+ together with reduced longitudinal excursion of ROITRIG (P = 0.049) and ROIAAO (P = 0.008). CONCLUSION Dyskinesia of the aorto-mitral apparatus, including SAM of the elongated AMVL, is detectable in subclinical HCM before the development of LVH or left atrial enlargement. These data have the potential to improve our understanding of early phenotype development and LVOTO predisposition in HCM.
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Affiliation(s)
- Samuel Seitler
- UCL Institute of Experimental Medicine, Royal Free London, Gower Street, London, UK
| | - Surani De Zoysa Anthony
- University College London, Institute of Cardiovascular Science, Gower Street, London WC1E 6BT, UK
| | - Chinwe C C Obianyo
- University College London, Institute of Cardiovascular Science, Gower Street, London WC1E 6BT, UK
- NIHR University College London Hospitals Biomedical Research Center, London, UK
- Barts Heart Center, The Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases Unit, St Bartholomew’s Hospital, West Smithfield, London, UK
| | - Petros Syrris
- University College London, Institute of Cardiovascular Science, Gower Street, London WC1E 6BT, UK
| | - Vimal Patel
- University College London, Institute of Cardiovascular Science, Gower Street, London WC1E 6BT, UK
| | - Daniel M Sado
- Cardiovascular Magnetic Resonance Unit, King’s College London, UK
| | - Viviana Maestrini
- University College London, Institute of Cardiovascular Science, Gower Street, London WC1E 6BT, UK
| | - Silvia Castelletti
- University College London, Institute of Cardiovascular Science, Gower Street, London WC1E 6BT, UK
| | - Stephen Walsh
- Department of Nephrology, Royal Free London NHS Foundation Trust, Pond Street, London, UK
- UCL Institute of Experimental Medicine, Royal Free London, Gower Street, London, UK
| | - Ben O’Brien
- Department of Perioperative Medicine, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- Department of Cardiac Anesthesiology and Intensive Care Medicine, German Heart Center, Augustenburger Platz 1, 13353 Berlin, Germany
- Department of Cardiac Anesthesiology and Intensive Care Medicine, Charite Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
- Outcomes Research Consortium, Department of Outcomes Research, The Cleveland Clinic, 9500 Euclid Ave. P77, Cleveland, OH 44195, USA
| | - James C Moon
- University College London, Institute of Cardiovascular Science, Gower Street, London WC1E 6BT, UK
- NIHR University College London Hospitals Biomedical Research Center, London, UK
- Barts Heart Center, The Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases Unit, St Bartholomew’s Hospital, West Smithfield, London, UK
| | - Gabriella Captur
- University College London, Institute of Cardiovascular Science, Gower Street, London WC1E 6BT, UK
- MRC Unit of Lifelong Health and Ageing, 1 – 19 Torrington Place, London WC1E 7HB, UK
- Department of Cardiology, Royal Free Hospital NHS Foundation Trust, Pond Street, Hampstead, London NW3 2QG, UK
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10
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Jiang WY, Chen BH, Zhang C, Shi RY, Wu R, An DA, Ma XH, Wesemann L, Hu J, Zhou Y, Xu JR, Zhao L, Wu LM. Fractal analysis in cardiovascular magnetic resonance: prognostic value of biventricular trabecular complexity in hypertrophic cardiomyopathy. Cardiovasc Diagn Ther 2023; 13:1030-1042. [PMID: 38162100 PMCID: PMC10753232 DOI: 10.21037/cdt-23-162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 10/02/2023] [Indexed: 01/03/2024]
Abstract
Background Trabecular complexity can be quantified by fractal analysis based on cine images of cardiovascular magnetic resonance (CMR), yielding fractal dimension (FD) index. We aimed to investigate the prognostic value of biventricular FD in patients with hypertrophic cardiomyopathy (HCM). Methods This retrospective study included 284 (192 men, median age 53 years) patients with HCM who underwent CMR, with median follow-up of 24 months. Biventricular trabeculae complexity was quantified as FD using short-axis cine images. The primary end point included sudden cardiac death (SCD) events. The secondary end point included both SCD events and rehospitalization due to heart failure. Cox regressions were performed. Prediction models were established by adding ventricular FDs to ESC predictors and late gadolinium enhancement (LGE) percentage and the C indices were calculated. Results Cox regressions revealed that left ventricular (LV) maximal apical FD (HR range 1.114-1.133; all P<0.05) and right ventricular (RV) global FD (HR range 1.135-1.150; all P<0.05) were significant prognostic factors of both end points after adjustment for the European Society of Cardiology (ESC) predictors (age, maximum LV wall thickness, LV atrial size, peak left ventricular outflow tract (LVOT) gradient, family history of SCD, unexplained syncope, non-sustained ventricular tachycardia), and LGE percentage. The prediction model with the addition of biventricular FDs (C-index: 0.864-0.877) had the best performance. Conclusions LV maximal apical FD and RV global FD were independent predictors of SCD events and rehospitalization due to heart failure in patients with HCM. The addition of biventricular FDs to the conventional prediction model contributed incremental prognosis value in HCM.
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Affiliation(s)
- Wen-Yi Jiang
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Bing-Hua Chen
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Chen Zhang
- Department of Interventional Diagnosis and Therapy, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Ruo-Yang Shi
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Rui Wu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Dong-Aolei An
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiao-Hai Ma
- Department of Interventional Diagnosis and Therapy, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Luke Wesemann
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Jiani Hu
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Yan Zhou
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jian-Rong Xu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Lei Zhao
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Lian-Ming Wu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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11
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Curran L, de Marvao A, Inglese P, McGurk KA, Schiratti PR, Clement A, Zheng SL, Li S, Pua CJ, Shah M, Jafari M, Theotokis P, Buchan RJ, Jurgens SJ, Raphael CE, Baksi AJ, Pantazis A, Halliday BP, Pennell DJ, Bai W, Chin CW, Tadros R, Bezzina CR, Watkins H, Cook SA, Prasad SK, Ware JS, O’Regan DP. Genotype-Phenotype Taxonomy of Hypertrophic Cardiomyopathy. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2023; 16:e004200. [PMID: 38014537 PMCID: PMC10729901 DOI: 10.1161/circgen.123.004200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 10/25/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND Hypertrophic cardiomyopathy (HCM) is an important cause of sudden cardiac death associated with heterogeneous phenotypes, but there is no systematic framework for classifying morphology or assessing associated risks. Here, we quantitatively survey genotype-phenotype associations in HCM to derive a data-driven taxonomy of disease expression. METHODS We enrolled 436 patients with HCM (median age, 60 years; 28.8% women) with clinical, genetic, and imaging data. An independent cohort of 60 patients with HCM from Singapore (median age, 59 years; 11% women) and a reference population from the UK Biobank (n=16 691; mean age, 55 years; 52.5% women) were also recruited. We used machine learning to analyze the 3-dimensional structure of the left ventricle from cardiac magnetic resonance imaging and build a tree-based classification of HCM phenotypes. Genotype and mortality risk distributions were projected on the tree. RESULTS Carriers of pathogenic or likely pathogenic variants for HCM had lower left ventricular mass, but greater basal septal hypertrophy, with reduced life span (mean follow-up, 9.9 years) compared with genotype negative individuals (hazard ratio, 2.66 [95% CI, 1.42-4.96]; P<0.002). Four main phenotypic branches were identified using unsupervised learning of 3-dimensional shape: (1) nonsarcomeric hypertrophy with coexisting hypertension; (2) diffuse and basal asymmetrical hypertrophy associated with outflow tract obstruction; (3) isolated basal hypertrophy; and (4) milder nonobstructive hypertrophy enriched for familial sarcomeric HCM (odds ratio for pathogenic or likely pathogenic variants, 2.18 [95% CI, 1.93-2.28]; P=0.0001). Polygenic risk for HCM was also associated with different patterns and degrees of disease expression. The model was generalizable to an independent cohort (trustworthiness, M1: 0.86-0.88). CONCLUSIONS We report a data-driven taxonomy of HCM for identifying groups of patients with similar morphology while preserving a continuum of disease severity, genetic risk, and outcomes. This approach will be of value in understanding the causes and consequences of disease diversity.
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Affiliation(s)
- Lara Curran
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
| | - Antonio de Marvao
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
- Department of Women and Children’s Health (A.d.M.)
- British Heart Foundation Centre of Research Excellence, School of Cardiovascular & Metabolic Medicine and Sciences, King’s College London, United Kingdom (A.d.M.)
| | - Paolo Inglese
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Kathryn A. McGurk
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Pierre-Raphaël Schiratti
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Adam Clement
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Sean L. Zheng
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Surui Li
- Biomedical Image Analysis Group, Department of Computing (S.L., W.B.)
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Chee Jian Pua
- National Heart Research Institute Singapore, Singapore, PRC (C.J.P., C.W.L.C., S.A.C.)
| | - Mit Shah
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Mina Jafari
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Biomedical Image Analysis Group, Department of Computing (S.L., W.B.)
- Department of Brain Sciences, Imperial College London, London, United Kingdom (W.B.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
- Department of Women and Children’s Health (A.d.M.)
- British Heart Foundation Centre of Research Excellence, School of Cardiovascular & Metabolic Medicine and Sciences, King’s College London, United Kingdom (A.d.M.)
- National Heart Research Institute Singapore, Singapore, PRC (C.J.P., C.W.L.C., S.A.C.)
- Department of Cardiology, National Heart Center Singapore, Singapore, PRC (C.W.L.C.)
- Cardiovascular Sciences ACP, Duke NUS Medical School, Singapore (C.W.L.C.)
- Mayo Clinic Rochester, MN (C.E.R.)
- Department of Experimental Cardiology, Heart Center, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, the Netherlands (S.J.J., C.R.B.)
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA (S.J.J.)
- Cardiovascular Genetics Centre, Montreal Heart Institute (R.T.)
- Faculty of Medicine, Université de Montréal, QC, Canada (R.T.)
- Radcliffe Department of Medicine, University of Oxford, United Kingdom (H.W.)
| | - Pantazis Theotokis
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Rachel J. Buchan
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Sean J. Jurgens
- Department of Experimental Cardiology, Heart Center, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, the Netherlands (S.J.J., C.R.B.)
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA (S.J.J.)
| | - Claire E. Raphael
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Mayo Clinic Rochester, MN (C.E.R.)
| | - Arun John Baksi
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
| | - Antonis Pantazis
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
| | - Brian P. Halliday
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
| | - Dudley J. Pennell
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
| | - Wenjia Bai
- Biomedical Image Analysis Group, Department of Computing (S.L., W.B.)
- Department of Brain Sciences, Imperial College London, London, United Kingdom (W.B.)
| | - Calvin W.L. Chin
- National Heart Research Institute Singapore, Singapore, PRC (C.J.P., C.W.L.C., S.A.C.)
- Department of Cardiology, National Heart Center Singapore, Singapore, PRC (C.W.L.C.)
- Cardiovascular Sciences ACP, Duke NUS Medical School, Singapore (C.W.L.C.)
| | - Rafik Tadros
- Cardiovascular Genetics Centre, Montreal Heart Institute (R.T.)
- Faculty of Medicine, Université de Montréal, QC, Canada (R.T.)
| | - Connie R. Bezzina
- Department of Experimental Cardiology, Heart Center, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, the Netherlands (S.J.J., C.R.B.)
| | - Hugh Watkins
- Radcliffe Department of Medicine, University of Oxford, United Kingdom (H.W.)
| | - Stuart A. Cook
- Department of Women and Children’s Health (A.d.M.)
- National Heart Research Institute Singapore, Singapore, PRC (C.J.P., C.W.L.C., S.A.C.)
| | - Sanjay K. Prasad
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
| | - James S. Ware
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Declan P. O’Regan
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
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12
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Qian Y, Zhao X, Chen BH, An DA, Wu R, Shi RY, Zhang C, Ma X, Zhou Y, Zhao L, Wu LM. Right ventricular global strain in patients with hypertrophic cardiomyopathy with and without right ventricular hypertrophy. Eur J Radiol 2023; 169:111148. [PMID: 37871355 DOI: 10.1016/j.ejrad.2023.111148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 09/12/2023] [Accepted: 10/10/2023] [Indexed: 10/25/2023]
Abstract
PURPOSE Regardless of whether there are morphological abnormalities of right ventricle in hypertrophic cardiomyopathy (HCM) patients, the exact contribution of right ventricular (RV) global strains remains unresolved. We aimed to study the prognostic value of RV global strains in HCM patients with and without RV hypertrophy (RVH). METHOD A total of 358 HCM patients who underwent the CMR examination and carried out the follow-up were finally included in this retrospective study. The endpoint was a composite of all-cause mortality, aborted SCD, and heart failure readmission. RV hypertrophy (RVH) was defined as maximal RVWT ≥ 5 mm at end-diastole. RV global strains (RV global longitudinal strain (GLS) and RV global circumferential strain (GCS) were measured in HCM patients by cardiac MRI feature tracking technique. The intraobserver and interobserver reproducibility were evaluated. Receiver-operating characteristic curves and Kaplan-Meier curves, cox proportional hazards regression, Likelihood ratio test and Integrated Discrimination Improvement (IDI) analysis were performed. P-value were corrected for multiple testing when using many covariables by a false discovery rate adjustment. RESULTS Over a median follow-up of 25 (range 3-54) months, 49 patients reached the composite endpoints. HCM patients were divided into the RVH group and non-RVH groups. In the multivariate cox proportional hazards regression, after adjusting multiple clinical and imaging variables, RV GLS and RV GCS were independently associated with the composite endpoints in the RVH group (HR: 1.123; 95 % CI: 1.048-1.205; P = 0.002) and non-RVH group (HR: 1.174; 95 % CI: 1.031-1.337; P = 0.015), respectively. And The IDI index of models improved when adding RV GLS (IDI = 0.030, p < 0.001) and RV GLS (IDI = 0.056, p = 0.020), respectively. CONCLUSIONS RV GLS and RV GCS are independent predictors of HCM with RVH and without RVH, respectively. RV GLS in the RVH group and RV GCS in the non-RVH group provide additional values for predicting the risk of adverse events.
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Affiliation(s)
- Yufan Qian
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Xinghan Zhao
- Department of Interventional Diagnosis and Treatment, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Bing-Hua Chen
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Dong-Aolei An
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Rui Wu
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Ruo-Yang Shi
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Chen Zhang
- Department of Interventional Diagnosis and Treatment, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Xiaohai Ma
- Department of Interventional Diagnosis and Treatment, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Yan Zhou
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Lei Zhao
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
| | - Lian-Ming Wu
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China.
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13
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Nikolaidou C, Ormerod JO, Ziakas A, Neubauer S, Karamitsos TD. The Role of Cardiovascular Magnetic Resonance Imaging in Patients with Cardiac Arrhythmias. Rev Cardiovasc Med 2023; 24:252. [PMID: 39076394 PMCID: PMC11262447 DOI: 10.31083/j.rcm2409252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 06/05/2023] [Accepted: 06/12/2023] [Indexed: 07/31/2024] Open
Abstract
Cardiac arrhythmias are associated with significant morbidity, mortality and poor quality of life. Cardiovascular magnetic resonance (CMR) imaging, with its unsurpassed capability of non-invasive tissue characterisation, high accuracy, and reproducibility of measurements, plays an integral role in determining the underlying aetiology of cardiac arrhytmias. CMR can reliably diagnose previous myocardial infarction, non-ischemic cardiomyopathy, characterise congenital heart disease and valvular pathologies, and also detect the underlying substrate concealed on conventional investigations in a significant proportion of patients with arrhythmias. Determining the underlying substrate of arrhythmia is of paramount importance for treatment planning and prognosis. However, CMR imaging in patients with irregular heart rates can be problematic. Understanding the different ways to overcome the limitations of CMR in arrhythmia is essential for providing high-quality imaging, comprehensive information, and definitive answers in this diverse group of patients.
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Affiliation(s)
- Chrysovalantou Nikolaidou
- Oxford Centre for Clinical Magnetic Resonance Research, University of
Oxford, John Radcliffe Hospital, Headington, OX3 9DU Oxford, UK
| | - Julian O.M. Ormerod
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine,
University of Oxford, John Radcliffe Hospital, Headington, OX3 9DU
Oxford, UK
| | - Antonios Ziakas
- First Department of Cardiology, AHEPA Hospital, School of Medicine,
Faculty of Health Sciences, Aristotle University of Thessaloniki, 54636
Thessaloniki, Greece
| | - Stefan Neubauer
- Oxford Centre for Clinical Magnetic Resonance Research, University of
Oxford, John Radcliffe Hospital, Headington, OX3 9DU Oxford, UK
| | - Theodoros D. Karamitsos
- Oxford Centre for Clinical Magnetic Resonance Research, University of
Oxford, John Radcliffe Hospital, Headington, OX3 9DU Oxford, UK
- First Department of Cardiology, AHEPA Hospital, School of Medicine,
Faculty of Health Sciences, Aristotle University of Thessaloniki, 54636
Thessaloniki, Greece
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14
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Gu ZY, Qian YF, Chen BH, Wu CW, Zhao L, Xue S, Zhao L, Wu LM, Wang YY. Late gadolinium enhancement entropy as a new measure of myocardial tissue heterogeneity for prediction of adverse cardiac events in patients with hypertrophic cardiomyopathy. Insights Imaging 2023; 14:138. [PMID: 37603140 PMCID: PMC10441833 DOI: 10.1186/s13244-023-01479-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 07/04/2023] [Indexed: 08/22/2023] Open
Abstract
OBJECTIVES Entropy is a new late gadolinium enhanced (LGE) cardiac magnetic resonance (CMR)-derived parameter that is independent of signal intensity thresholds. Entropy can be used to measure myocardial tissue heterogeneity by comparing full pixel points of tissue images. This study investigated the incremental prognostic value of left ventricular (LV) entropy in patients with hypertrophic cardiomyopathy (HCM). METHODS This study enrolled 337 participants with HCM who underwent 3.0-T CMR. The LV entropy was obtained by calculating the probability distribution of the LV myocardial pixel signal intensities of the LGE sequence. Patients who underwent CMR imaging were followed up for endpoints. The primary endpoint was defined as readmission to the hospital owing to heart failure. The secondary endpoint was the composite of the primary endpoint, sudden cardiac death and non-cardiovascular death. RESULTS During the median follow-up of 24 months ± 13 (standard deviation), 43 patients who reached the primary and secondary endpoints had a higher entropy (6.20 ± 0.45, p < 0.001). The patients with increased entropy (≥ 5.587) had a higher risk of the primary and secondary endpoints, compared with HCM patients with low entropy (p < 0.001 for both). In addition, Cox analysis showed that LV entropy provided significant prognostic value for predicting both primary and secondary endpoints (HR: 1.291 and 1.273, all p < 0.001). Addition of LV entropy to the multivariable model improved model performance and risk reclassification (p < 0.05). CONCLUSION LV entropy assessed by CMR was an independent predictor of primary and secondary endpoints. LV entropy assessment contributes to improved risk stratification in patients with HCM. CRITICAL RELEVANCE STATEMENT Myocardial heterogeneity reflected by entropy the derived parameter of LGE has prognostic value for adverse events in HCM. The measurement of LV entropy helped to identify patients with HCM who were at risk for heart failure and sudden cardiac death. KEY POINTS • Left ventricular entropy can reflect myocardial heterogeneity in HCM patients. • Left ventricular entropy was significantly higher in HCM patients who reached endpoint events. • Left ventricular entropy helps to predict the occurrence of heart failure and death in HCM patients.
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Affiliation(s)
- Zi-Yi Gu
- Department of Cardiovascular Surgery, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Yu-Fan Qian
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Bing-Hua Chen
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Chong-Wen Wu
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Lei Zhao
- Department of Cardiovascular Surgery, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Song Xue
- Department of Cardiovascular Surgery, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Lei Zhao
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
| | - Lian-Ming Wu
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
| | - Yong-Yi Wang
- Department of Cardiovascular Surgery, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
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15
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Jiang L, Zuo H, Liu J, Wang J, Zhang K, Zhang C, Peng X, Liu Y, Wang D, Li H, Wang H. The pattern of late gadolinium enhancement by cardiac MRI in fulminant myocarditis and its prognostic implication: a two-year follow-up study. Front Cardiovasc Med 2023; 10:1144469. [PMID: 37441699 PMCID: PMC10335322 DOI: 10.3389/fcvm.2023.1144469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 06/12/2023] [Indexed: 07/15/2023] Open
Abstract
Background Myocardial fibrosis, as quantified by late gadolinium enhancement (LGE) in cardiac magnetic resonance (CMR), provides valuable prognostic information for patients with myocarditis. However, due to the low incidence rate of fulminant myocarditis (FM) and accordingly small sample size, the knowledge about the role of LGE to patients with FM is limited. Methods and results A total of 44 adults with viral-FM receiving the Chinese treating regimen were included in this retrospective study. They were divided into the low LGE group and the high LGE group according to the ratio of LGE to left ventricular mass (LGE mass%). CMR exams and LGE were performed after hemodynamic assistance at discharge in all patients with FM. Routine echocardiography parameters and global longitudinal strain (GLS) at discharge and at 2-year follow-up were obtained and then compared. Both left ventricular ejection fraction (LVEF) and GLS showed no significant difference in both groups at discharge, whereas significant differences were observed at 2-year follow-up between two groups. Moreover, there were significant improvements of LVEF and GLS in the low LGE group, but not in the high LGE group during the 2-year period. Furthermore, LGE mass% was negatively correlated with GLS and LVEF. Conclusions There were two distinct forms of LGE presentation in patients with FM. Moreover, the cardiac function of patients with low LGE was significantly better than those with high LGE at 2-year follow-up. LGE mass% at discharge provided significant prognosis information about cardiac function of patients with FM.
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Affiliation(s)
- Luying Jiang
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiologic Disorders, Wuhan, China
- The 3rd Department of Cardiology, The First Affiliated Hospital of The Medical College, Shihezi University, Shihezi, China
| | - Houjuan Zuo
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiologic Disorders, Wuhan, China
| | - Jingbo Liu
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiologic Disorders, Wuhan, China
| | - Jianyu Wang
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiologic Disorders, Wuhan, China
| | - Kaiyue Zhang
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiologic Disorders, Wuhan, China
| | - Chunran Zhang
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- The 3rd Department of Cardiology, The First Affiliated Hospital of The Medical College, Shihezi University, Shihezi, China
| | - Xiangyang Peng
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiologic Disorders, Wuhan, China
- The 3rd Department of Cardiology, The First Affiliated Hospital of The Medical College, Shihezi University, Shihezi, China
| | - Yujian Liu
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiologic Disorders, Wuhan, China
| | - Daowen Wang
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiologic Disorders, Wuhan, China
| | - Haojie Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hong Wang
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiologic Disorders, Wuhan, China
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16
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Silvetti E, Lanza O, Romeo F, Martino A, Fedele E, Lanzillo C, Crescenzi C, Fanisio F, Calò L. The pivotal role of ECG in cardiomyopathies. Front Cardiovasc Med 2023; 10:1178163. [PMID: 37404739 PMCID: PMC10315483 DOI: 10.3389/fcvm.2023.1178163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 05/15/2023] [Indexed: 07/06/2023] Open
Abstract
Cardiomyopathies are a heterogeneous group of pathologies characterized by structural and functional alterations of the heart. Recent technological advances in cardiovascular imaging offer an opportunity for deep phenotypic and etiological definition. Electrocardiogram (ECG) is the first-line diagnostic tool in the evaluation of both asymptomatic and symptomatic individuals. Some electrocardiographic signs are pathognomonic or fall within validated diagnostic criteria of individual cardiomyopathy such as the inverted T waves in right precordial leads (V1-V3) or beyond in individuals with complete pubertal development in the absence of complete right bundle branch block for the diagnosis of arrhythmogenic cardiomyopathy of the right ventricle (ARVC) or the presence of low voltages typically seen in more than 60% of patients with amyloidosis. Most other electrocardiographic findings such as the presence of depolarization changes including QRS fragmentation, the presence of epsilon wave, the presence of reduced or increased voltages as well as alterations in the repolarization phase including the negative T waves in the lateral leads, or the profound inversion of the T waves or downsloping of the ST tract are more non-specific signs which can however raise the clinical suspicion of cardiomyopathy in order to initiate a diagnostic procedure especially using imaging techniques for diagnostic confirmation. Such electrocardiographic alterations not only have a counterpart in imaging investigations such as evidence of late gadolinium enhancement on magnetic resonance imaging, but may also have an important prognostic value once a definite diagnosis has been made. In addition, the presence of electrical stimulus conduction disturbances or advanced atrioventricular blocks that can be seen especially in conditions such as cardiac amyloidosis or sarcoidosis, or the presence of left bundle branch block or posterior fascicular block in dilated or arrhythmogenic left ventricular cardiomyopathies are recognized as a possible expression of advanced pathology. Similarly, the presence of ventricular arrhythmias with typical patterns such as non-sustained or sustained ventricular tachycardia of LBBB morphology in ARVC or non-sustained or sustained ventricular tachycardia with an RBBB morphology (excluding the "fascicular pattern") in arrhythmogenic left ventricle cardiomyopathy could have a significant impact on the course of each disease. It is therefore clear that a learned and careful interpretation of ECG features can raise suspicion of the presence of a cardiomyopathy, identify diagnostic "red flags" useful for orienting the diagnosis toward specific forms, and provide useful tools for risk stratification. The purpose of this review is to emphasize the important role of the ECG in the diagnostic workup, describing the main ECG findings of different cardiomyopathies.
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17
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Ismail TF, Frey S, Kaufmann BA, Winkel DJ, Boll DT, Zellweger MJ, Haaf P. Hypertensive Heart Disease-The Imaging Perspective. J Clin Med 2023; 12:jcm12093122. [PMID: 37176563 PMCID: PMC10179093 DOI: 10.3390/jcm12093122] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 04/20/2023] [Accepted: 04/22/2023] [Indexed: 05/15/2023] Open
Abstract
Hypertensive heart disease (HHD) develops in response to the chronic exposure of the left ventricle and left atrium to elevated systemic blood pressure. Left ventricular structural changes include hypertrophy and interstitial fibrosis that in turn lead to functional changes including diastolic dysfunction and impaired left atrial and LV mechanical function. Ultimately, these changes can lead to heart failure with a preserved (HFpEF) or reduced (HFrEF) ejection fraction. This review will outline the clinical evaluation of a patient with hypertension and/or suspected HHD, with a particular emphasis on the role and recent advances of multimodality imaging in both diagnosis and differential diagnosis.
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Affiliation(s)
- Tevfik F Ismail
- King's College London & Cardiology Department, School of Biomedical Engineering and Imaging Sciences, Guy's and St Thomas' NHS Foundation Trust, London SE1 7EH, UK
| | - Simon Frey
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
| | - Beat A Kaufmann
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
| | - David J Winkel
- Department of Radiology, University Hospital Basel, University of Basel, CH-4031 Basel, Switzerland
| | - Daniel T Boll
- Department of Radiology, University Hospital Basel, University of Basel, CH-4031 Basel, Switzerland
| | - Michael J Zellweger
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
| | - Philip Haaf
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
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18
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Chen Z, Cui C, Yin G, Jiang Y, Wu W, Lei J, Guo S, Zhang Z, Zhao S, Lu M. Detection of haemodynamic obstruction in hypertrophic cardiomyopathy using the sub-aortic complex: a cardiac MRI and Doppler study. Clin Radiol 2023; 78:421-429. [PMID: 37024359 DOI: 10.1016/j.crad.2023.02.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 02/21/2023] [Accepted: 02/24/2023] [Indexed: 04/08/2023]
Abstract
AIM To investigate the "sub-aortic complex (SAC)", a new cardiac magnetic resonance imaging (CMRI)-derived parameter, for the evaluation of left ventricular (LV) outflow tract (LVOT) obstruction in patients with hypertrophic cardiomyopathy (HCM), compared with conventional CMRI parameters and Doppler echocardiography. MATERIALS AND METHODS A total of 157 consecutive patients with HCM were recruited retrospectively. The patients were divided into two groups, 87 with LVOT obstruction and 70 without obstruction. The SAC was defined as a specific anatomical SAC affecting the LVOT, which were measured on the LV three-chamber steady-state free precession (SSFP) cine image at the end-systolic phase. The relations between the existence and severity of obstruction and SAC index (SACi) were evaluated using Pearson's correlation coefficient, receiver operating characteristic (ROC) curves, and logistic regression. RESULTS The SACs were significantly different between the obstructive and non-obstructive groups. The ROC curves indicated that the SACi was able to discriminate obstructive and non-obstructive patients with the best predictive accuracy (AUC = 0.949, p<0.001). The SACi was an independent predictor of LVOT obstruction and there was a significant negative correlation between resting LVOT pressure gradient and SACi (r=0.72 p<0.001). In the subgroup of patients with or without severe basal septal hypertrophy, the SACi was still able to predict LVOT obstruction with excellent diagnostic accuracy (AUC = 0.944 and 0.948, p<0.001, respectively). CONCLUSION The SAC is a reliable and straightforward CMRI marker for assessing LVOT obstruction. It is more effective than CMRI two-dimensional flow in diagnosing the severity of obstruction in patients with HCM.
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Affiliation(s)
- Z Chen
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China; Department of Radiology, The First Hospital of Lanzhou University, Intelligent Imaging Medical Engineering Research Center of Gansu Province, Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Gansu Province Clinical Research Center for Radiology Imaging, Lanzhou 73000, People's Republic of China
| | - C Cui
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China
| | - G Yin
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China
| | - Y Jiang
- Department of Echocardiography, Cardiovascular Imaging and Intervention Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China
| | - W Wu
- Department of Echocardiography, Cardiovascular Imaging and Intervention Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China
| | - J Lei
- Department of Radiology, The First Hospital of Lanzhou University, Intelligent Imaging Medical Engineering Research Center of Gansu Province, Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Gansu Province Clinical Research Center for Radiology Imaging, Lanzhou 73000, People's Republic of China
| | - S Guo
- Department of Radiology, The First Hospital of Lanzhou University, Intelligent Imaging Medical Engineering Research Center of Gansu Province, Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Gansu Province Clinical Research Center for Radiology Imaging, Lanzhou 73000, People's Republic of China
| | - Z Zhang
- Department of Cardiology, The First Hospital of Lanzhou University, Lanzhou 730000, People's Republic of China
| | - S Zhao
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China.
| | - M Lu
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China.
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Thakkar K, Karajgi AR, Kallamvalappil AM, Avanthika C, Jhaveri S, Shandilya A, Anusheel, Al-Masri R. Sudden cardiac death in childhood hypertrophic cardiomyopathy. Dis Mon 2023; 69:101548. [PMID: 36931945 DOI: 10.1016/j.disamonth.2023.101548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
The most prevalent cause of mortality in children with hypertrophic cardiomyopathy (HCM) is sudden cardiac death (SCD), which happens more frequently than in adult patients. Risk stratification tactics have generally been drawn from adult practice, however emerging data has revealed significant disparities between children and adult cohorts, implying the need for pediatric-specific risk stratification methodologies. We conducted an all-language literature search on Medline, Cochrane, Embase, and Google Scholar until October 2021. The following search strings and Medical Subject Heading (MeSH) terms were used: "HCM," "SCD," "Sudden Cardiac Death," and "Childhood Onset HCM." We explored the literature on the risk of SCD in HCM for its epidemiology, pathophysiology, the role of various genes and their influence, associated complications leading to SCD and preventive and treatment modalities. Childhood-onset HCM is linked to significant life-long morbidity and mortality, including a higher SCD rate in children than in adults. The present focus is on symptom relief and avoiding illness-related consequences, but the prospect of future disease-modifying medicines offers an intriguing opportunity to alter disease expression and outcomes in these young individuals. Current preventive recommendations promote implantable cardioverter defibrillator placement based on cumulative risk factor thresholds, although they have been demonstrated to have weak discriminating capacity. This article addresses questions and discusses the etiology, risk factors, and method to risk stratification for SCD in children with HCM.
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Affiliation(s)
- Keval Thakkar
- G.M.E.R.S. Medical College and General Hospital, Gandhinagar, India
| | | | | | - Chaithanya Avanthika
- Karnataka Institute of Medical /Sciences, PB Rd, Vidya Nagar, Hubli, Karnataka, India.
| | | | | | - Anusheel
- Ryazan State I P Pavlov Medical Institute, Ryazan, Russia
| | - Rayan Al-Masri
- Jordan University of Science and technology, Irbid, Jordan
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20
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The Use of Multimodality Imaging for the Diagnosis of Myocardial Outpouchings and Invaginations: A Systematic Review. Life (Basel) 2023; 13:life13030650. [PMID: 36983806 PMCID: PMC10058360 DOI: 10.3390/life13030650] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 02/02/2023] [Accepted: 02/24/2023] [Indexed: 03/02/2023] Open
Abstract
Cardiac ventricular outpouchings and invaginations are rare structural abnormalities and usually incidental findings during cardiac imaging. A definitive diagnosis is possible through the use of multimodality imaging. A systematic review of the literature was carried out in November 2022 to identify studies regarding ventricular outpouchings and invaginations. The main aim of the review is to summarize knowledge regarding epidemiology, etiology, diagnosis and prognosis of patients with ventricular outpouchings (aneurisms or diverticula) and invaginations (crypts and recesses). Overall, 26 studies published between 2000 and 2020 were included in the review. Diverticula and congenital aneurysms incidence ranges between 0.6 and 4.1%. Myocardial recesses and crypts range between 9% in the general population and up to 25% in patients with hypertrophic cardiomyopathy. The combined use of echocardiography, cardiac computed tomography (CCT) and cardiac magnetic resonance (CMR) is useful to establish tissue contractility, fibrosis, extension and relationship with adjacent structures for differential diagnosis of both invaginations and outpouchings. In conclusion, both outpouchings and invaginations are rare entities: a definitive diagnosis may be aided by the use of combining multiple imaging techniques, and the treatment depends both on the lesion-specific risk of complications and on the potential association of some lesions with cardiomyopathy.
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21
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Multimodality Imaging in Sarcomeric Hypertrophic Cardiomyopathy: Get It Right…on Time. LIFE (BASEL, SWITZERLAND) 2023; 13:life13010171. [PMID: 36676118 PMCID: PMC9863627 DOI: 10.3390/life13010171] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/25/2022] [Accepted: 12/29/2022] [Indexed: 01/09/2023]
Abstract
Hypertrophic cardiomyopathy (HCM) follows highly variable paradigms and disease-specific patterns of progression towards heart failure, arrhythmias and sudden cardiac death. Therefore, a generalized standard approach, shared with other cardiomyopathies, can be misleading in this setting. A multimodality imaging approach facilitates differential diagnosis of phenocopies and improves clinical and therapeutic management of the disease. However, only a profound knowledge of the progression patterns, including clinical features and imaging data, enables an appropriate use of all these resources in clinical practice. Combinations of various imaging tools and novel techniques of artificial intelligence have a potentially relevant role in diagnosis, clinical management and definition of prognosis. Nonetheless, several barriers persist such as unclear appropriate timing of imaging or universal standardization of measures and normal reference limits. This review provides an overview of the current knowledge on multimodality imaging and potentialities of novel tools, including artificial intelligence, in the management of patients with sarcomeric HCM, highlighting the importance of specific "red alerts" to understand the phenotype-genotype linkage.
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22
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The association of left atrial mechanics with left ventricular morphology in patients with hypertrophic cardiomyopathy: a cardiac magnetic resonance study. Pol J Radiol 2023; 88:e103-e112. [PMID: 36910882 PMCID: PMC9995245 DOI: 10.5114/pjr.2023.125213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 11/20/2022] [Indexed: 03/06/2023] Open
Abstract
Purpose Hypertrophic cardiomyopathy (HCM) is related with structural and pathologic changes in the left atrium (LA) and left ventricle (LV). The aim of this study was to explore the association between LA mechanics and LV characteristics in patients with HCM using cardiac magnetic resonance feature tracking (CMR-FT). Material and methods A total of 76 patients with HCM and 26 healthy controls were included in the study. The parameters including the extent of LV late gadolinium enhancement (LGE-%) and the LV early diastolic longitudinal strain rate (edLSR) were assessed for LV. LA conduit, booster, and reservoir functions were assessed by LA fractional volumes and strain analyses using CMR-FT. HCM patients were classified as HCM patients without LGE, with mild LGE-% (0% < LGE-% ł 10%), and prominent LGE-% (10% < LGE-%). Results HCM patients had worse LA functions compared with the controls (p < 0.05). The majority of LA functional indices were more impaired in HCM patients with regard to LGE. LA volumes were higher in HCM patients with prominent LGE-% compared with HCM patients with mild LGE-% (p < 0.05). However, only a minority of LA functional parameters differed between the 2 groups. LA strain parameters showed weak to modest correlations with LV LGE-% and LV edLSR. Conclusions LV characteristics, to some extent, influence LA mechanics, but they might not be the only factor inducing LA dysfunction in patients with HCM.
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Katyal A, Li COY, Franciosi S, Sanatani S. The safety of sports in children with inherited arrhythmia substrates. Front Pediatr 2023; 11:1151286. [PMID: 37124180 PMCID: PMC10132466 DOI: 10.3389/fped.2023.1151286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 03/22/2023] [Indexed: 05/02/2023] Open
Abstract
Sudden cardiac death (SCD) is a rare and devastating event in children and remains a leading cause of death in young athletes. Channelopathies and cardiomyopathies, in particular long QT syndrome (LQTS), catecholaminergic polymorphic ventricular tachycardia (CPVT), hypertrophic cardiomyopathy (HCM), and arrhythmogenic cardiomyopathy (ACM) are associated with exercise-related SCD. Implantable cardioverter-defibrillators (ICDs) are often placed for secondary prevention for athletes with cardiomyopathy or channelopathy. There remains concern regarding the safety of return to participation with an ICD in place. Guidelines have historically recommended that patients with inherited heart rhythm disorders be restricted from competitive sports participation. Increasing evidence suggests a lower risk of exercise-related cardiac events in young athletes with inherited heart rhythm disorders. In this review, we highlight current knowledge, evolving guidelines, and present a multidisciplinary approach involving shared decision-making and appropriate planning for safe sports participation of children with inherited heart rhythm disorders.
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24
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Choi YJ, Kim HK, Hwang IC, Park CS, Rhee TM, Lee HJ, Park JB, Yoon YE, Lee SP, Cho GY, Kim YJ. Prognosis of patients with hypertrophic cardiomyopathy and low-normal left ventricular ejection fraction. Heart 2022; 109:771-778. [PMID: 36581445 DOI: 10.1136/heartjnl-2022-321853] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Accepted: 12/07/2022] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVE To investigate whether low-normal left ventricular ejection fraction (LVEF) is associated with adverse outcomes in hypertrophic cardiomyopathy (HCM) and evaluate the incremental value of predictive power of LVEF in the conventional HCM sudden cardiac death (SCD)-risk model. METHODS This retrospective study included 1858 patients with HCM from two tertiary hospitals between 2008 and 2019. We classified LVEF into three categories: preserved (≥60%), low normal (50%-60%) and reduced (<50%); there were 1399, 415, and 44 patients with preserved, low-normal, and reduced LVEF, respectively. The primary outcome was a composite of SCD, ventricular tachycardia/fibrillation and appropriate implantable cardioverter-defibrillator shocks. Secondary outcomes were hospitalisation for heart failure (HHF), cardiovascular death and all-cause death. RESULTS During the median follow-up of 4.09 years, the primary outcomes occurred in 1.9%. HHF, cardiovascular death, and all-cause death occurred in 3.3%, 1.9%, and 5.3%, respectively. Reduced LVEF was an independent predictor of SCD/equivalent events (adjusted HR (aHR) 5.214, 95% CI 1.574 to 17.274, p=0.007), adding predictive value to the HCM risk-SCD model (net reclassification improvement 0.625). Compared with patients with HCM with preserved LVEF, those with low-normal and reduced LVEF had a higher risk of HHF (LVEF 50%-60%, aHR 2.457, 95% CI 1.423 to 4.241, p=0.001; LVEF <50%, aHR 7.937, 95% CI 3.315 to 19.002, p<0.001) and cardiovascular death (LVEF 50%-60%, aHR 2.641, 95% CI 1.314 to 5.309, p=0.006; LVEF <50%, aHR 5.405, 95% CI 1.530 to 19.092, p=0.009), whereas there was no significant association with all-cause death. CONCLUSIONS Low-normal LVEF was an independent predictor of HHF and cardiovascular death in patients with HCM.
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Affiliation(s)
- You-Jung Choi
- Internal Medicine, Korea University Guro Hospital, Seoul, Korea (the Republic of).,Clinical Medical Sciences, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
| | - Hyung-Kwan Kim
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea (the Republic of) .,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
| | - In-Chang Hwang
- Clinical Medical Sciences, Seoul National University College of Medicine, Seoul, Korea (the Republic of) .,Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea (the Republic of)
| | - Chan Soon Park
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea (the Republic of)
| | - Tae-Min Rhee
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea (the Republic of).,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
| | - Hyun-Jung Lee
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea (the Republic of).,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
| | - Jun-Bean Park
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea (the Republic of).,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
| | - Yeonyee Elizabeth Yoon
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea (the Republic of).,Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea (the Republic of)
| | - Seung-Pyo Lee
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea (the Republic of).,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
| | - Goo-Yeong Cho
- Clinical Medical Sciences, Seoul National University College of Medicine, Seoul, Korea (the Republic of).,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea (the Republic of).,Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea (the Republic of)
| | - Yong-Jin Kim
- Clinical Medical Sciences, Seoul National University College of Medicine, Seoul, Korea (the Republic of).,Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea (the Republic of).,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
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25
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Zhang Y, Zhu Y, Zhang M, Liu J, Wu G, Wang J, Sun X, Wang D, Jiang W, Xu L, Kang L, Song L. Implications of structural right ventricular involvement in patients with hypertrophic cardiomyopathy. EUROPEAN HEART JOURNAL. QUALITY OF CARE & CLINICAL OUTCOMES 2022; 9:34-41. [PMID: 35179204 DOI: 10.1093/ehjqcco/qcac008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 02/08/2022] [Accepted: 02/11/2022] [Indexed: 12/15/2022]
Abstract
AIMS In the clinical practice, the right ventricular (RV) manifestations have received less attention in hypertrophic cardiomyopathy (HCM). This paper aimed to evaluate the risk prediction value and genetic characteristics of RV involvement in HCM patients. METHODS AND RESULTS A total of 893 patients with HCM were recruited. RV hypertrophy, RV obstruction, and RV late gadolinium enhancement were evaluated by echocardiography and/or cardiac magnetic resonance. Patients with any of the above structural abnormalities were identified as having RV involvement. All patients were followed with a median follow-up time of 3.0 years. The primary endpoint was cardiovascular death; the secondary endpoints were all-cause death and heart failure (HF)-related death. Survival analyses were conducted to evaluate the associations between RV involvement and the endpoints. Genetic testing was performed on 669 patients. RV involvement was recognized in 114 of 893 patients (12.8%). Survival analyses demonstrated that RV involvement was an independent risk factor for cardiovascular death (P = 0.002), all-cause death (P = 0.011), and HF-related death (P = 0.004). These outcome results were then confirmed by a sensitivity analysis. Genetic testing revealed a higher frequency of genotype-positive in patients with RV involvement (57.0% vs. 31.0%, P < 0.001), and the P/LP variants of MYBPC3 were more frequently identified in patients with RV involvement (30.4% vs. 12.0%, P < 0.001). Logistic analyses indicated the independent correlation between RV involvement and these genetic factors. CONCLUSION RV involvement was an independent risk factor for cardiovascular death, all-cause death and HF-related death in HCM patients. Genetic factors might contribute to RV involvement in HCM.
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Affiliation(s)
- Yu Zhang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Dongdan Santiao No. 9, 100006 Beijing, China
| | - Yuming Zhu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Dongdan Santiao No. 9, 100006 Beijing, China
| | - Mo Zhang
- Cardiomyopathy Ward, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, 100037 Beijing, China
| | - Jie Liu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Dongdan Santiao No. 9, 100006 Beijing, China
| | - Guixin Wu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Dongdan Santiao No. 9, 100006 Beijing, China
| | - Jizheng Wang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Dongdan Santiao No. 9, 100006 Beijing, China
| | - Xiaolu Sun
- Cardiomyopathy Ward, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, 100037 Beijing, China
| | - Dong Wang
- Cardiomyopathy Ward, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, 100037 Beijing, China
| | - Wen Jiang
- Cardiomyopathy Ward, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, 100037 Beijing, China
| | - Lianjun Xu
- Cardiomyopathy Ward, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, 100037 Beijing, China
| | - Lianming Kang
- Cardiomyopathy Ward, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, 100037 Beijing, China
| | - Lei Song
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Dongdan Santiao No. 9, 100006 Beijing, China.,Cardiomyopathy Ward, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, 100037 Beijing, China.,National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Dongdan Santiao No. 9, 100006 Beijing, China
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26
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Habib M, Adler A, Hoss S, Hanneman K, Katz O, Habib HH, Fardfini K, Rakowski H, Chan RH. Temporal Changes in Cardiac Morphology and Its Relationship with Clinical Characteristics and Outcomes in Patients with Hypertrophic Cardiomyopathy. Am J Cardiol 2022; 176:125-131. [PMID: 35644698 DOI: 10.1016/j.amjcard.2022.04.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 04/07/2022] [Accepted: 04/14/2022] [Indexed: 11/01/2022]
Abstract
In this study, we aimed to assess a large cohort of nonapical hypertrophic cardiomyopathy (HC) patients who have undergone 2 serial cardiac magnetic resonance studies to examine morphological dynamics and their correlation to patient characteristics and clinical outcomes. A total of 214 patients with nonapical HC were enrolled in this study, with 2 sequential cardiac magnetic resonance studies separated by a mean interval of 4.8 ± 2.1 years. Progression of indexed left ventricular mass (LVMI) was correlated with lower LVMI at baseline (p <0.00001) and older age >50 years. In terms of maximal wall thickness (MWT), progression was associated with lower baseline MWT and with the presence of LV outflow tract obstruction. No association was demonstrated between the degree of progression of LVMI or MWT and baseline LV volumes, the severity of mitral regurgitation, gender, or the presence of pathogenic HC variants. Progression of left atrial size was significantly associated with the development of atrial fibrillation (p = 0.014; odds ratio 1.18, confidence interval 1.03 to 1.35) and admission for heart failure (p = 0.018; odds ratio 1.18, confidence interval 1.03 to 1.36). No correlation was demonstrated between changes in LV mass or MWT and clinical outcomes of admission for heart failure, progression to New York Heart Association 2/3, progression to end-stage HC, or implantable cardioverter-defibrillator implantation. In conclusion, our study provides novel insights into the natural history of HC from a morphological perspective. It shows that HC is a dynamic disease in which LV morphology and hypertrophy extent change over time, with the presence of risk factors associated with disease progression.
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27
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Fogel MA, Anwar S, Broberg C, Browne L, Chung T, Johnson T, Muthurangu V, Taylor M, Valsangiacomo-Buechel E, Wilhelm C. Society for Cardiovascular Magnetic Resonance/European Society of Cardiovascular Imaging/American Society of Echocardiography/Society for Pediatric Radiology/North American Society for Cardiovascular Imaging Guidelines for the use of cardiovascular magnetic resonance in pediatric congenital and acquired heart disease : Endorsed by The American Heart Association. J Cardiovasc Magn Reson 2022; 24:37. [PMID: 35725473 PMCID: PMC9210755 DOI: 10.1186/s12968-022-00843-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 01/12/2022] [Indexed: 11/16/2022] Open
Abstract
Cardiovascular magnetic resonance (CMR) has been utilized in the management and care of pediatric patients for nearly 40 years. It has evolved to become an invaluable tool in the assessment of the littlest of hearts for diagnosis, pre-interventional management and follow-up care. Although mentioned in a number of consensus and guidelines documents, an up-to-date, large, stand-alone guidance work for the use of CMR in pediatric congenital 36 and acquired 35 heart disease endorsed by numerous Societies involved in the care of these children is lacking. This guidelines document outlines the use of CMR in this patient population for a significant number of heart lesions in this age group and although admittedly, is not an exhaustive treatment, it does deal with an expansive list of many common clinical issues encountered in daily practice.
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Affiliation(s)
- Mark A Fogel
- Departments of Pediatrics (Cardiology) and Radiology, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. .,Division of Cardiology, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
| | - Shaftkat Anwar
- Department of Pediatrics (Cardiology) and Radiology, The University of California-San Francisco School of Medicine, San Francisco, USA
| | - Craig Broberg
- Division of Cardiovascular Medicine, Oregon Health and Sciences University, Portland, USA
| | - Lorna Browne
- Department of Radiology, University of Colorado, Denver, USA
| | - Taylor Chung
- Department of Radiology and Biomedical Imaging, The University of California-San Francisco School of Medicine, San Francisco, USA
| | - Tiffanie Johnson
- Department of Pediatrics (Cardiology), Indiana University School of Medicine, Indianapolis, USA
| | - Vivek Muthurangu
- Department of Pediatrics (Cardiology), University College London, London, UK
| | - Michael Taylor
- Department of Pediatrics (Cardiology), University of Cincinnati School of Medicine, Cincinnati, USA
| | | | - Carolyn Wilhelm
- Department of Pediatrics (Cardiology), University Hospitals-Cleveland, Cleaveland, USA
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28
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Fogel MA, Anwar S, Broberg C, Browne L, Chung T, Johnson T, Muthurangu V, Taylor M, Valsangiacomo-Buechel E, Wilhelm C. Society for Cardiovascular Magnetic Resonance/European Society of Cardiovascular Imaging/American Society of Echocardiography/Society for Pediatric Radiology/North American Society for Cardiovascular Imaging Guidelines for the Use of Cardiac Magnetic Resonance in Pediatric Congenital and Acquired Heart Disease: Endorsed by The American Heart Association. Circ Cardiovasc Imaging 2022; 15:e014415. [PMID: 35727874 PMCID: PMC9213089 DOI: 10.1161/circimaging.122.014415] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Cardiovascular magnetic resonance has been utilized in the management and care of pediatric patients for nearly 40 years. It has evolved to become an invaluable tool in the assessment of the littlest of hearts for diagnosis, pre-interventional management and follow-up care. Although mentioned in a number of consensus and guidelines documents, an up-to-date, large, stand-alone guidance work for the use of cardiovascular magnetic resonance in pediatric congenital 36 and acquired 35 heart disease endorsed by numerous Societies involved in the care of these children is lacking. This guidelines document outlines the use of cardiovascular magnetic resonance in this patient population for a significant number of heart lesions in this age group and although admittedly, is not an exhaustive treatment, it does deal with an expansive list of many common clinical issues encountered in daily practice.
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Affiliation(s)
- Mark A Fogel
- Departments of Pediatrics (Cardiology) and Radiology, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA, (M.A.F.).,Division of Cardiology, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA, (M.A.F.)
| | - Shaftkat Anwar
- Department of Pediatrics (Cardiology) and Radiology, The University of California-San Francisco School of Medicine, San Francisco, USA, (S.A.)
| | - Craig Broberg
- Division of Cardiovascular Medicine, Oregon Health and Sciences University, Portland, USA, (C.B.)
| | - Lorna Browne
- Department of Radiology, University of Colorado, Denver, USA, (L.B.)
| | - Taylor Chung
- Department of Radiology and Biomedical Imaging, The University of California-San Francisco School of Medicine, San Francisco, USA, (T.C.)
| | - Tiffanie Johnson
- Department of Pediatrics (Cardiology), Indiana University School of Medicine, Indianapolis, USA, (T.J.)
| | - Vivek Muthurangu
- Department of Pediatrics (Cardiology), University College London, London, UK, (V.M.)
| | - Michael Taylor
- Department of Pediatrics (Cardiology), University of Cincinnati School of Medicine, Cincinnati, USA, (M.T.)
| | | | - Carolyn Wilhelm
- Department of Pediatrics (Cardiology), University Hospitals-Cleveland, Cleaveland, USA (C.W.)
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29
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Clinical Characteristics and Prognostic Importance of Left Ventricular Apical Aneurysms in Hypertrophic Cardiomyopathy. JACC: CARDIOVASCULAR IMAGING 2022; 15:1696-1711. [DOI: 10.1016/j.jcmg.2022.03.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 03/04/2022] [Accepted: 03/31/2022] [Indexed: 11/20/2022]
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30
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Guo J, Lu H, Chen Y, Zeng M, Jin H. Artificial intelligence study on left ventricular function among normal individuals, hypertrophic cardiomyopathy and dilated cardiomyopathy patients using 1.5T cardiac cine MR images obtained by SSFP sequence. Br J Radiol 2022; 95:20201060. [PMID: 35084208 PMCID: PMC10993976 DOI: 10.1259/bjr.20201060] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 01/06/2022] [Accepted: 01/13/2022] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVES To evaluate the performance of a deep learning-based method to automatically quantify left ventricular (LV) function from MR images in different cardiomyopathy. METHODS This retrospective study included MRI data sets from 2013 to 2020. Data on left ventricular function from patients with hypertrophic cardiomyopathy (HCM), patients with dilated cardiomyopathy (DCM), and healthy participants were analyzed. MRI data from a total of 388 patients were measured manually and automatically.The performance of Convolutional Neural Networks (CNNs) was evaluated based on the manual notes of two experienced observers: (a) LV segmentation accuracy, and (b) LV functional parameter accuracy. Bland-Altman analysis, Receiver operating Characteristic (ROC) curve analysis and Pearson correlation analysis were used to evaluate the consistency between fully automatic and manual diagnosis of HCM and DCM. RESULTS The deep-learning CNN performed best in HCM in evaluating LV function and worst in DCM. Compared with manual analysis, four parameters of LV function in the HCM group showed high correlation (r at least >0.901), and the correlation of DCM in all parameters was weaker than that of HCM, especially EF (r2 = 0.776) and SV (r2 = 0.645). ROC curve analysis indicated that at the optimal cut-off value, EF from automatic segmentation identified DCM and HCM patients with sensitivity of 92.31 and 78.05%, specificity of 82.96 and 54.07%, respectively. CONCLUSION Among different heart diseases, the analysis of cardiac function based on deep-learning CNN may have different performances, with DCM performing the worst and HCM the best and thus, special attention should be paid to DCM patients when assessing LV function through artificial intelligence method. LV function parameter obtained by artificial intelligence method may play an important role in the future AI diagnosis of HCM and DCM. ADVANCES IN KNOWLEDGE These data for the first time objectively evaluate the performance of a commercially available deep learning-based method in cardiac function evaluation of different cardiomyopathy and point out its advantages and disadvantages in different cardiomyopathy. This work did not attempt to design the algorithm itself, but rather applied an already existing method to a test dataset of clinical data and evaluated the results for a limited number of cardiomyopathy.
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Affiliation(s)
- Jiajun Guo
- Department of Radiology, Zhongshan Hospital, Fudan University,
and Shanghai Institute of Medical Imaging,
Shanghai, China
- Department of Medical Imaging, Shanghai Medical school Fudan
University, Shanghai,
China
| | - HongFei Lu
- Department of Radiology, Zhongshan Hospital, Fudan University,
and Shanghai Institute of Medical Imaging,
Shanghai, China
- Department of Medical Imaging, Shanghai Medical school Fudan
University, Shanghai,
China
| | - Yinyin Chen
- Department of Radiology, Zhongshan Hospital, Fudan University,
and Shanghai Institute of Medical Imaging,
Shanghai, China
- Department of Medical Imaging, Shanghai Medical school Fudan
University, Shanghai,
China
| | - Mengsu Zeng
- Department of Radiology, Zhongshan Hospital, Fudan University,
and Shanghai Institute of Medical Imaging,
Shanghai, China
- Department of Medical Imaging, Shanghai Medical school Fudan
University, Shanghai,
China
| | - Hang Jin
- Department of Radiology, Zhongshan Hospital, Fudan University,
and Shanghai Institute of Medical Imaging,
Shanghai, China
- Department of Medical Imaging, Shanghai Medical school Fudan
University, Shanghai,
China
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31
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Arsenos P, Gatzoulis KA, Tsiachris D, Dilaveris P, Sideris S, Sotiropoulos I, Archontakis S, Antoniou CK, Kordalis A, Skiadas I, Toutouzas K, Vlachopoulos C, Tousoulis D, Tsioufis K. Arrhythmic risk stratification in ischemic, non-ischemic and hypertrophic cardiomyopathy: A two-step multifactorial, electrophysiology study inclusive approach. World J Cardiol 2022; 14:139-151. [PMID: 35432775 PMCID: PMC8968455 DOI: 10.4330/wjc.v14.i3.139] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 10/28/2021] [Accepted: 02/23/2022] [Indexed: 02/06/2023] Open
Abstract
Annual arrhythmic sudden cardiac death ranges from 0.6% to 4% in ischemic cardiomyopathy (ICM), 1% to 2% in non-ischemic cardiomyopathy (NICM), and 1% in hypertrophic cardiomyopathy (HCM). Towards a more effective arrhythmic risk stratification (ARS) we hereby present a two-step ARS with the usage of seven non-invasive risk factors: Late potentials presence (≥ 2/3 positive criteria), premature ventricular contractions (≥ 30/h), non-sustained ventricular tachycardia (≥ 1episode/24 h), abnormal heart rate turbulence (onset ≥ 0% and slope ≤ 2.5 ms) and reduced deceleration capacity (≤ 4.5 ms), abnormal T wave alternans (≥ 65μV), decreased heart rate variability (SDNN < 70ms), and prolonged QTc interval (> 440 ms in males and > 450 ms in females) which reflect the arrhythmogenic mechanisms for the selection of the intermediate arrhythmic risk patients in the first step. In the second step, these intermediate-risk patients undergo a programmed ventricular stimulation (PVS) for the detection of inducible, truly high-risk ICM and NICM patients, who will benefit from an implantable cardioverter defibrillator. For HCM patients, we also suggest the incorporation of the PVS either for the low HCM Risk-score patients or for the patients with one traditional risk factor in order to improve the inadequate sensitivity of the former and the low specificity of the latter.
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Affiliation(s)
- Petros Arsenos
- First Department of Cardiology, National and Kapodistrian University of Athens, Hippokration Hospital, Athens 11527, Attika, Greece
| | - Konstantinos A Gatzoulis
- First Department of Cardiology, National and Kapodistrian University of Athens, Hippokration Hospital, Athens 11527, Attika, Greece
| | | | - Polychronis Dilaveris
- First Department of Cardiology, National and Kapodistrian University of Athens, Hippokration Hospital, Athens 11527, Attika, Greece
| | - Skevos Sideris
- Department of Cardiology, Hippokration Hospital, Athens 11527, Attika, Greece
| | - Ilias Sotiropoulos
- Department of Cardiology, Hippokration Hospital, Athens 11527, Attika, Greece
| | | | | | - Athanasios Kordalis
- First Department of Cardiology, National and Kapodistrian University of Athens, Hippokration Hospital, Athens 11527, Attika, Greece
| | - Ioannis Skiadas
- Fifth Department of Cardiology, Hygeia Hospital, Marousi 15123, Attika, Greece
| | - Konstantinos Toutouzas
- First Department of Cardiology, National and Kapodistrian University of Athens, Hippokration Hospital, Athens 11527, Attika, Greece
| | - Charalambos Vlachopoulos
- First Department of Cardiology, National and Kapodistrian University of Athens, Hippokration Hospital, Athens 11527, Attika, Greece
| | - Dimitrios Tousoulis
- First Department of Cardiology, National and Kapodistrian University of Athens, Hippokration Hospital, Athens 11527, Attika, Greece
| | - Konstantinos Tsioufis
- First Department of Cardiology, National and Kapodistrian University of Athens, Hippokration Hospital, Athens 11527, Attika, Greece
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32
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Zhou D, Yang W, Yang Y, Yin G, Li S, Zhuang B, Xu J, He J, Wu W, Jiang Y, Sun X, Wang Y, Sirajuddin A, Zhao S, Lu M. Left atrial dysfunction may precede left atrial enlargement and abnormal left ventricular longitudinal function: a cardiac MR feature tracking study. BMC Cardiovasc Disord 2022; 22:99. [PMID: 35282817 PMCID: PMC8919633 DOI: 10.1186/s12872-022-02532-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 02/28/2022] [Indexed: 01/22/2023] Open
Abstract
Abstract
Background
The role of the dysfunction of left atrium in the occurrence and development of cardiovascular disease has been gradually recognized. We aim to compare the impact on left atrial (LA) function between patients with hypertrophic cardiomyopathy (HCM) and hypertension (HTN) without LA enlargement using cardiovascular magnetic resonance feature tracking (CMR-FT), and if possible, explore the capability of LA function for providing clinical implication and predicting clinical adverse events in the early stage of cardiovascular disease.
Methods
Consecutive 60 HCM patients and 60 HTN patients with normal LA size among 1413 patients who underwent CMR were retrospectively analyzed as well as 60 controls. Left atrial and ventricular functions were quantified by volumetric and CMR-FT derived strain analysis from long and short left ventricular view cines. The primary endpoint was a composite of all-cause death, stroke, new-onset or worsening heart failure to hospitalization, and paroxysmal or persistent atrial fibrillation.
Results
Compared to the controls, both HTN and HCM participants had impaired LA reservoir function (εs) and conduit function (εe) with the different stage of LA booster pump dysfunction (εa). LA strain was more sensitive than LV longitudinal strain (GLS) for evaluate primary endpoint (εs: 33.9% ± 7.5 vs. 41.2% ± 14.3, p = 0.02; εe: 13.6% ± 6.2 vs. 17.4% ± 10.4, p = 0.03; εa: 20.2% ± 6.0 vs. 23.7% ± 8.8, p = 0.07; GLS: -19.4% ± 6.4 vs. -20.0% ± 6.8, p = 0.70, respectively). After a mean follow-up of 6.8 years, 23 patients reached primary endpoint. Cox regression analyses indicated impaired LA reservoir and booster pump strain were associated with clinical outcomes in patients at the early stage of HTN and HCM (p < 0.05).
Conclusions
CMR-FT-derived strain is a potential and robust tool in demonstrating impaired LA mechanics, quantifying LA dynamics and underlining the impacts on LA-LV coupling in patients with HTN and HCM without LA enlargement. The corresponding LA dysfunction is a promising metric to assess clinical implication and predict prognosis at the early stage, superior to GLS.
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Rosu RO, Lupsor A, Necula A, Cismaru G, Cainap SS, Iacob D, Lazea C, Cismaru A, Negru AG, Pop D, Gusetu G. Anatomical-MRI Correlations in Adults and Children with Hypertrophic Cardiomyopathy. Diagnostics (Basel) 2022; 12:diagnostics12020489. [PMID: 35204578 PMCID: PMC8870875 DOI: 10.3390/diagnostics12020489] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 02/05/2022] [Accepted: 02/07/2022] [Indexed: 12/15/2022] Open
Abstract
Hypertrophic Cardiomyopathy (HCM) is the most frequent hereditary cardiovascular disease and the leading cause of sudden cardiac death in young individuals. Advancements in CMR imaging have allowed for earlier identification and more accurate prognosis of HCM. Interventions aimed at slowing or stopping the disease’s natural course may be developed in the future. CMR has been validated as a technique with high sensitivity and specificity, very few contraindications, a low risk of side effects, and is overall a good tool to be employed in the management of HCM patients. The goal of this review is to evaluate the magnetic resonance features of HCM, starting with distinct phenotypic variants of the disease and progressing to differential diagnoses of athlete’s heart, hypertension, and infiltrative cardiomyopathies. HCM in children has its own section in this review, with possible risk factors that are distinct from those in adults; delayed enhancement in children may play a role in risk stratification in HCM. Finally, a number of teaching points for general cardiologists who recommend CMR for patients with HCM will be presented.
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Affiliation(s)
- Radu Ovidiu Rosu
- Fifth Department of Internal Medicine, Cardiology Rehabilitation, 400347 Cluj-Napoca, Romania; (R.O.R.); (D.P.); (G.G.)
- Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (A.N.); (S.S.C.); (D.I.); (C.L.); (A.C.)
| | - Ana Lupsor
- Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (A.N.); (S.S.C.); (D.I.); (C.L.); (A.C.)
- Correspondence: (A.L.); (G.C.); Tel.: +40-004-072-192-6230 (G.C.)
| | - Alexandru Necula
- Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (A.N.); (S.S.C.); (D.I.); (C.L.); (A.C.)
| | - Gabriel Cismaru
- Fifth Department of Internal Medicine, Cardiology Rehabilitation, 400347 Cluj-Napoca, Romania; (R.O.R.); (D.P.); (G.G.)
- Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (A.N.); (S.S.C.); (D.I.); (C.L.); (A.C.)
- Correspondence: (A.L.); (G.C.); Tel.: +40-004-072-192-6230 (G.C.)
| | - Simona Sorana Cainap
- Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (A.N.); (S.S.C.); (D.I.); (C.L.); (A.C.)
- 2nd Pediatric Department, Mother and Child Department, Emergency Clinical Hospital for Children, 400177 Cluj-Napoca, Romania
| | - Daniela Iacob
- Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (A.N.); (S.S.C.); (D.I.); (C.L.); (A.C.)
- 3rd Pediatric Department, Mother and Child Department, Emergency Clinical Hospital for Children, 400217 Cluj-Napoca, Romania
| | - Cecilia Lazea
- Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (A.N.); (S.S.C.); (D.I.); (C.L.); (A.C.)
- 1st Pediatric Department, Mother and Child Department, Emergency Clinical Hospital for Children, 400370 Cluj-Napoca, Romania
| | - Andrei Cismaru
- Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (A.N.); (S.S.C.); (D.I.); (C.L.); (A.C.)
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, 400337 Cluj-Napoca, Romania
| | - Alina Gabriela Negru
- Department of Cardiology, ‘Victor Babeș’ University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania;
| | - Dana Pop
- Fifth Department of Internal Medicine, Cardiology Rehabilitation, 400347 Cluj-Napoca, Romania; (R.O.R.); (D.P.); (G.G.)
- Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (A.N.); (S.S.C.); (D.I.); (C.L.); (A.C.)
| | - Gabriel Gusetu
- Fifth Department of Internal Medicine, Cardiology Rehabilitation, 400347 Cluj-Napoca, Romania; (R.O.R.); (D.P.); (G.G.)
- Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (A.N.); (S.S.C.); (D.I.); (C.L.); (A.C.)
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Fumagalli I, Vitullo P, Vergara C, Fedele M, Corno AF, Ippolito S, Scrofani R, Quarteroni A. Image-Based Computational Hemodynamics Analysis of Systolic Obstruction in Hypertrophic Cardiomyopathy. Front Physiol 2022; 12:787082. [PMID: 35069249 PMCID: PMC8773089 DOI: 10.3389/fphys.2021.787082] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 12/13/2021] [Indexed: 12/01/2022] Open
Abstract
Hypertrophic Cardiomyopathy (HCM) is a pathological condition characterized by an abnormal thickening of the myocardium. When affecting the medio-basal portion of the septum, it is named Hypertrophic Obstructive Cardiomyopathy (HOCM) because it induces a flow obstruction in the left ventricular outflow tract. In any type of HCM, the myocardial function can become compromised, possibly resulting in cardiac death. In this study, we investigated with computational analysis the hemodynamics of patients with different types of HCM. The aim was quantifying the effects of this pathology on the intraventricular blood flow and pressure gradients, and providing information potentially useful to guide the indication and the modality of the surgical treatment (septal myectomy). We employed an image-based computational approach, integrating fluid dynamics simulations with geometric and functional data, reconstructed from standard cardiac cine-MRI acquisitions. We showed that with our approach we can better understand the patho-physiological behavior of intraventricular blood flow dynamics due to the abnormal morphological and functional aspect of the left ventricle. The main results of our investigation are: (a) a detailed patient-specific analysis of the blood velocity, pressure and stress distribution associated to HCM; (b) a computation-based classification of patients affected by HCM that can complement the current clinical guidelines for the diagnosis and treatment of HOCM.
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Affiliation(s)
- Ivan Fumagalli
- MOX, Dipartimento di Matematica, Politecnico di Milano, Milan, Italy
| | - Piermario Vitullo
- MOX, Dipartimento di Matematica, Politecnico di Milano, Milan, Italy
| | - Christian Vergara
- LaBS, Dipartimento di Chimica, Materiali e Ingegneria Chimica “Giulio Natta”, Politecnico di Milano, Milan, Italy
| | - Marco Fedele
- MOX, Dipartimento di Matematica, Politecnico di Milano, Milan, Italy
| | - Antonio F. Corno
- Children’s Heart Institute, Hermann Children’s Hospital, McGovern Medical School, University of Texas Health, Houston, TX, United States
| | | | | | - Alfio Quarteroni
- MOX, Dipartimento di Matematica, Politecnico di Milano, Milan, Italy
- Institute of Mathematics, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
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Andrushchuk U, Niavyhlas A, Adzintsou V, Haidzel I, Model H, Shket A. Analysis of 3-dimensional interventricular septum and abnormal muscle bundles models for septal myectomy. Interact Cardiovasc Thorac Surg 2022; 34:9-15. [PMID: 34999797 PMCID: PMC8932507 DOI: 10.1093/icvts/ivab213] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 05/21/2021] [Accepted: 07/07/2021] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVES We compared the effectiveness of virtual 3-dimensional (3D) models with 2-dimensional (2D) transthoracic echocardiography (TTE) for evaluating the anatomy of the interventricular septum (IVS) and abnormal muscle bundles (AMBs) in planning septal myectomy (SM). METHODS Between January 2017 and July 2020, 103 consecutive symptomatic patients with hypertrophic cardiomyopathy underwent 2D TTE and cardiovascular magnetic resonance imaging in 49 (47.6%) or computed tomography angiography in 54 (52.4%) patients with 3D IVS modelling for SM planning. We evaluated maximal IVS thickness and location, length and thickness of AMBs. RESULTS The mean maximal IVS thickness by 2D TTE was 7.3 [standard deviation (SD) 4.8] mm less than that based on the 3D model analysis: 21.4 (SD 3.7) vs 28.6 (SD 5.5) mm, respectively (P < 0.001, 95% confidence interval 6.4-8.2). The planned volume of ideal SM was larger than that of performed SM: 26.2 (18.4-39.4) vs 10.3 (7.4-12.8) cm3, respectively (P < 0.001). The sensitivity and specificity of 2D TTE in diagnosing AMBs were 36.9% and 95%, and those of cardiovascular magnetic resonance and computed tomography angiography with 3D modelling were 97.1% and 100% for cardiovascular magnetic resonance and 98% and 100% for computed tomography angiography, respectively. AMBs occurred in 84 (81.6%) patients. No patient required mitral valve replacement. The 30-day mortality was 1 patient. There were 4 late non-cardiac deaths (3.9%) within 18.1 (standard error 1.32) months. CONCLUSIONS Anatomical analysis of the IVS and AMBs based on their virtual 3D models is highly effective for SM planning.
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Affiliation(s)
- Uladzimir Andrushchuk
- Department of cardiac surgery, Republican Scientific and Practical Centre ‘Cardiology’, Minsk, Belarus
| | - Artsem Niavyhlas
- Department of cardiac surgery, Republican Scientific and Practical Centre ‘Cardiology’, Minsk, Belarus
| | - Vitali Adzintsou
- Department of cardiac surgery, Republican Scientific and Practical Centre ‘Cardiology’, Minsk, Belarus
| | - Iryna Haidzel
- Department of cardiac surgery, Republican Scientific and Practical Centre ‘Cardiology’, Minsk, Belarus
| | - Hanna Model
- Department of cardiac surgery, Republican Scientific and Practical Centre ‘Cardiology’, Minsk, Belarus
| | - Aliaksandr Shket
- Department of cardiac surgery, Republican Scientific and Practical Centre ‘Cardiology’, Minsk, Belarus
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36
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Ye Y, Ji Z, Zhou W, Pu C, Li Y, Zhou C, Hu X, Chen C, Sun Y, Huang Q, Zhang W, Qian Y, Ren H, Yu F, Jiang C, Mao Y, Wang B, Augusto JB, Lai D, Hu H, Fu GS. Mean Scar Entropy by Late Gadolinium Enhancement Cardiac Magnetic Resonance Is Associated With Ventricular Arrhythmias Events in Hypertrophic Cardiomyopathy. Front Cardiovasc Med 2021; 8:758635. [PMID: 34869672 PMCID: PMC8635716 DOI: 10.3389/fcvm.2021.758635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Accepted: 09/28/2021] [Indexed: 11/28/2022] Open
Abstract
Background: Ventricular arrhythmias are associated with sudden cardiac death (SCD) in hypertrophic cardiomyopathy (HCM). Previous studies have found the late gadolinium enhancement (LGE) on cardiac magnetic resonance (CMR) was independently associated with ventricular arrhythmia (VA) in HCM. The risk stratification of VA remains complex and LGE is present in the majority of HCM patients. This study was conducted to determine whether the scar heterogeneity from LGE-derived entropy is associated with the VAs in HCM patients. Materials and Methods: Sixty-eight HCM patients with scarring were retrospectively enrolled and divided into VA (31 patients) and non-VA (37 patients) groups. The left ventricular ejection fraction (LVEF) and percentage of the LGE (% LGE) were evaluated. The scar heterogeneity was quantified by the entropy within the scar and left ventricular (LV) myocardium. Results: Multivariate analyses showed that a higher scar [hazard ratio (HR) 2.682; 95% CI: 1.022–7.037; p = 0.039] was independently associated with VA, after the adjustment for the LVEF, %LGE, LV maximal wall thickness (MWT), and left atrium (LA) diameter. Conclusion: Scar entropy and %LGE are both independent risk indicators of VA. A high scar entropy may indicate an arrhythmogenic scar, an identification of which may have value for the clinical status assessment of VAs in HCM patients.
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Affiliation(s)
- Yang Ye
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - ZhongPing Ji
- Institute of Graphics and Image, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China
| | - Wenli Zhou
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Cailing Pu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ya Li
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Chengqin Zhou
- Institute of Graphics and Image, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China
| | - Xiuhua Hu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Chao Chen
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yaxun Sun
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Qi Huang
- Department of Cardiovascular, Zhejiang Integrated Traditional and Western Medicine Hospital (HangZhou Red Cross Hospital), Hangzhou, China
| | - Wenjuan Zhang
- Department of Information Technology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yu'e Qian
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hong Ren
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Feidan Yu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Chenyang Jiang
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Yankai Mao
- Department of Cardiac Echocardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Bei Wang
- Department of Cardiac Echocardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - João B Augusto
- Department of Cardiology, Hospital Professor Doutor Fernando Fonseca, Lisbon, Portugal.,Institute of Cardiovascular Science, University College London, London, United Kingdom.,Cardiac Imaging Department, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom
| | - Dongwu Lai
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Hongjie Hu
- Institute of Graphics and Image, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China
| | - Guo-Sheng Fu
- Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
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Lee S, Pahl E. Optimal imaging strategy for surveillance in children with hypertrophic cardiomyopathy. PROGRESS IN PEDIATRIC CARDIOLOGY 2021. [DOI: 10.1016/j.ppedcard.2021.101432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Amano Y. Editorial for "Association Between Heart Failure with Preserved Left Ventricular Ejection Fraction and Impaired Left Atrial Phasic Function in Hypertrophic Cardiomyopathy: Evaluation by CMR Feature Tracking". J Magn Reson Imaging 2021; 56:260-261. [PMID: 34799946 DOI: 10.1002/jmri.27997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 10/15/2021] [Accepted: 10/19/2021] [Indexed: 11/08/2022] Open
Affiliation(s)
- Yasuo Amano
- Department of Radiology, Nihon University Hospital, Tokyo, Japan
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Marques-Alves P, Ferreira JA, Freitas AA, Almeida JP, Baptista R, Castro G, Martins R, Donato P, Ferreira MJ, Gonçalves L. Mecânica Atrial na Cardiomiopatia Hipertrófica: Discriminando Hipertrofia de Fibrose Ventricular. Arq Bras Cardiol 2021; 118:77-87. [PMID: 35195213 PMCID: PMC8959060 DOI: 10.36660/abc.20200890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 02/24/2021] [Indexed: 11/18/2022] Open
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Clinical Diagnosis of Hypertrophic Cardiomyopathy Over Time in the United States (A Population-Based Claims Analysis). Am J Cardiol 2021; 159:107-112. [PMID: 34503822 DOI: 10.1016/j.amjcard.2021.08.024] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 07/30/2021] [Accepted: 08/03/2021] [Indexed: 11/23/2022]
Abstract
Hypertrophic cardiomyopathy (HC) is a common genetic heart disease. However, the number of gene mutation carriers who develop HC and manifest clinical symptoms is not well established. Our objective was to estimate annual prevalence and incidence rates of clinically diagnosed HC in the United States. Data from the HealthCore Integrated Research Database (HIRD) were interrogated for years 2013-2019 to identify patients with ≥1 claim of HC International Classification of Diseases, Clinical Modification Ninth and Tenth Revision diagnosis codes. In 2013, among 16,243,109 patients, 8,526 were identified with HC, yielding an estimated prevalence of clinically diagnosed HC of 0.052% (0.035% for obstructive [oHC], 0.017% for nonobstructive [nHC]). This prevalence yielded an estimated 164,403 patients with clinical diagnosis of HC. For the same year, the incidence of new HC diagnoses was 0.030% (0.020% for oHC, 0.010% for nHC). Over the following 6 years, prevalence and incidence of HC increased by 0.005%/year (p <0.01) and 0.001%/year (p <0.01), respectively, with an estimated 262,591 patients with a clinical diagnosis of HC in 2019. Over this period, incidence of nHC increased (0.012% vs 0.026%, p <0.01), whereas incidence of oHC decreased (0.020% versus 0.015%, p <0.01). In conclusion, over 6 years, the number of patients with clinically diagnosed HC in the United States increased 1.5-fold to ∼262,591, primarily because of a rise in nHC diagnoses. These prevalence data support further investigation to better understand factors accounting for increasing clinical recognition of HC.
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Latado L, de Melo RMV, Mistro S, Latado AL, do Nascimento HF, Lira YM, de Oliveira NFC, Galindo YDS, Viana T, Passos LCS. Cost-Effectiveness Analysis of Evolocumab Therapy in Patients at High Risk of Cardiovascular Events in the Context of the Brazilian Unified Health System. Arq Bras Cardiol 2021; 117:988-996. [PMID: 34817008 PMCID: PMC8682111 DOI: 10.36660/abc.20200690] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 10/23/2020] [Accepted: 12/02/2020] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Hypertrophic cardiomyopathy (HCM) and left ventricular hypertrophy (LVH) secondary to systemic hypertension (HTN) may be associated with left atrial (LA) functional abnormalities. OBJECTIVES We aimed to characterize LA mechanics in HCM and HTN and determine any correlation with the extent of left ventricular (LV) fibrosis measured by cardiac magnetic resonance (CMR) in HCM patients. METHODS Two-dimensional speckle tracking-derived longitudinal LA function was acquired from apical views in 60 HCM patients, 60 HTN patients, and 34 age-matched controls. HCM patients also underwent CMR, with measurement of late gadolinium enhancement (LGE) extension. Association with LA strain parameters was analyzed. Statistical significance was set at p<0.05. RESULTS Mean LV ejection fraction was not different between the groups. The E/e' ratio was impaired in the HCM group and preserved in the control group. LA mechanics was significantly reduced in HCM, compared to the HTN group. LA strain rate in reservoir (LASRr) and in contractile (LASRct) phases were the best discriminators of HCM, with an area under the curve (AUC) of 0.8, followed by LA strain in reservoir phase (LASr) (AUC 0.76). LASRr and LASR-ct had high specificity (89% and 91%, respectively) and LASr had sensitivity of 80%. A decrease in 2.79% of LA strain rate in conduit phase (LASRcd) predicted an increase of 1cm in LGE extension (r2=0.42, β 2.79, p=0.027). CONCLUSIONS LASRr and LASRct were the best discriminators for LVH secondary to HCM. LASRcd predicted the degree of LV fibrosis assessed by CMR. These findings suggest that LA mechanics is a potential predictor of disease severity in HCM.
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Affiliation(s)
- Luiza Latado
- Universidade Federal da BahiaFaculdade de MedicinaSalvadorBABrasilUniversidade Federal da Bahia - Faculdade de Medicina, Salvador, BA – Brasil
| | - Rodrigo Morel Vieira de Melo
- Universidade Federal da BahiaFaculdade de MedicinaSalvadorBABrasilUniversidade Federal da Bahia - Faculdade de Medicina, Salvador, BA – Brasil
- Hospital Ana NeryServiço de CardiologiaSalvadorBABrasilHospital Ana Nery - Serviço de Cardiologia, Salvador, BA – Brasil
| | - Sóstenes Mistro
- Universidade Federal da BahiaPrograma de Pós-Graduação em Saúde ColetivaInstituto Multidisciplinar em SaúdeVitória da ConquistaBABrasilUniversidade Federal da Bahia. Instituto Multidisciplinar em Saúde - Programa de Pós-Graduação em Saúde Coletiva, Vitória da Conquista, BA - Brasil
| | - Adriana Lopes Latado
- Universidade Federal da BahiaFaculdade de MedicinaSalvadorBABrasilUniversidade Federal da Bahia - Faculdade de Medicina, Salvador, BA – Brasil
| | - Harrison Floriano do Nascimento
- Hospital Universitário Professor Edgard SantosPesquisa e Inovação TecnológicaSalvadorBABrasilHospital Universitário Professor Edgard Santos - Pesquisa e Inovação Tecnológica, Salvador, BA – Brasil
| | - Yasmin Menezes Lira
- Escola Bahiana de Medicina e Saúde PúblicaSalvadorBABrasilEscola Bahiana de Medicina e Saúde Pública, Salvador, BA – Brasil
| | | | - Yuri de Santana Galindo
- Universidade Federal da BahiaFaculdade de MedicinaSalvadorBABrasilUniversidade Federal da Bahia - Faculdade de Medicina, Salvador, BA – Brasil
| | - Tainá Viana
- Hospital Ana NeryServiço de CardiologiaSalvadorBABrasilHospital Ana Nery - Serviço de Cardiologia, Salvador, BA – Brasil
| | - Luiz Carlos Santana Passos
- Universidade Federal da BahiaFaculdade de MedicinaSalvadorBABrasilUniversidade Federal da Bahia - Faculdade de Medicina, Salvador, BA – Brasil
- Hospital Ana NeryServiço de CardiologiaSalvadorBABrasilHospital Ana Nery - Serviço de Cardiologia, Salvador, BA – Brasil
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Obstructive and Nonobstructive Hypertrophic Cardiomyopathy: Differences in Global and Segmental Myocardial Strain by Cardiac Magnetic Resonance Feature Tracking. J Thorac Imaging 2021; 37:49-57. [PMID: 34387228 DOI: 10.1097/rti.0000000000000612] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE To evaluate any significant differences in myocardial strain between hypertrophic obstructive cardiomyopathy (HOCM) and nonobstructive ones (HNCM), as assessed by cardiac magnetic resonance feature tracking (CMR-FT). MATERIALS AND METHODS A total of 17 patients (mean age: 54±14 y) with echocardiographic diagnosis of HOCM (left ventricular outflow tract obstruction peak gradient ≥30 mm Hg), 19 patients (mean age: 49±16 y) with HNCM (peak gradient <30 mm Hg), and 18 age-matched and gender-matched healthy controls (mean age: 42±14 y). All patients underwent cardiac MRI with SSFP-cine to assess left ventricular global and segmental strain analysis by CMR-FT. Late gadolinium enhancement (LGE) sequences were used for semiautomatic quantification of LGE volume, mass, and percentage. RESULTS The magnitude of global radial, circumferential, and longitudinal strain as well as strain rate were significantly lower in all patients in comparison to controls (P<0.001), except for radial and circumferential strain between HOCM and controls (P=0.270; P=0.154). The latter strain parameters were significantly higher in HOCM than HNCM (radial strain: 31.67±7.55 vs. 21.26±7.10, P<0.001; circumferential strain: -17.94±2.78 vs. -13.46±3.42, P<0.001). Radial and circumferential strain and circumferential diastolic strain rate were higher in mid-anterior (P<0.001), mid-anteroseptal (P<0.001), and all apical segments (P<0.005) between the 2 groups of patients. Moreover, longitudinal strain was higher only in apical segments in HOCM (P<0.02). CONCLUSIONS HOCM patients showed higher left ventricular apical, mid-anterior, and mid-anteroseptal strain parameters compared with HNCM. These differences were independent of corresponding segmental thickness and LGE amount.
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Left Ventricular Apical Aneurysms in Hypertrophic Cardiomyopathy: Equivalent Detection by Magnetic Resonance Imaging and Contrast Echocardiography. J Am Soc Echocardiogr 2021; 34:1262-1272. [PMID: 34375676 DOI: 10.1016/j.echo.2021.07.015] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 07/13/2021] [Accepted: 07/30/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Left ventricular (LV) apical aneurysm is a unique morphological entity and novel adverse risk marker existing within the broad phenotypic spectrum of hypertrophic cardiomyopathy (HCM). Its true prevalence in the HCM population is likely underestimated because of inherent limitations of conventional noncontrast echocardiography. The authors hypothesized that contrast echocardiography is a reliable imaging technique compared with cardiovascular magnetic resonance (CMR) for the detection of apical aneurysms. The aim of this study was to assess the effectiveness of contrast echocardiography in the detection of LV apical aneurysms in patients with HCM in comparison with the gold standard, CMR. METHODS One hundred twelve patients with HCM identified from an institutional clinical database, who underwent echocardiographic and CMR examinations within 12 months and had LV apical aneurysms identified on either or both imaging modalities, were retrospectively analyzed. Discordant cases were reviewed by an expert panel, and a consensus was reached regarding the presence or absence of an apical aneurysm. The reason for any discrepancy was recorded. RESULTS The mean age of the patients was 59 ± 13 years, and 73% were men. Sixty-four (57%) underwent contrast echocardiography. The median interval between echocardiography and CMR was 118 days (interquartile range, 61-237 days). Thirty-nine patients (35%) had discordance between echocardiographic and CMR findings, of whom 20 had aneurysms reported on echocardiography but not CMR and 19 vice versa. Upon reanalysis by the expert panel, aneurysms were initially missed on CMR in 16 patients (80%), largely because of interpretation error secondary to small aneurysms, with a mean aneurysm size of 0.82 ± 0.38 cm in these cases. Before secondary review by the expert panel, contrast echocardiography had sensitivity of 97% compared with 85% for CMR (P = .0198) and 64% for noncontrast echocardiography (P = .0001). After secondary review, contrast echocardiography had sensitivity of 98% compared with 67% for noncontrast echocardiography (P = .0001) and 97% for CMR (P = 1.00). CONCLUSIONS Contrast echocardiography has high sensitivity for detecting LV apical aneurysms and should be used routinely in the evaluation and risk stratification of patients with HCM.
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Ricci F, Aung N, Thomson R, Boubertakh R, Camaioni C, Doimo S, Sanghvi MM, Fung K, Khanji MY, Lee A, Malcolmson J, Mantini C, Paiva J, Gallina S, Fedorowski A, Mohiddin SA, Aquaro GD, Petersen SE. Pulmonary blood volume index as a quantitative biomarker of haemodynamic congestion in hypertrophic cardiomyopathy. Eur Heart J Cardiovasc Imaging 2021; 20:1368-1376. [PMID: 31504370 PMCID: PMC6868494 DOI: 10.1093/ehjci/jez213] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 04/01/2019] [Accepted: 08/21/2019] [Indexed: 12/24/2022] Open
Abstract
Aims The non-invasive assessment of left ventricular (LV) diastolic function and filling pressure in hypertrophic cardiomyopathy (HCM) is still an open issue. Pulmonary blood volume index (PBVI) by cardiovascular magnetic resonance (CMR) has been proposed as a quantitative biomarker of haemodynamic congestion. We aimed to assess the diagnostic accuracy of PBVI for left atrial pressure (LAP) estimation in patients with HCM. Methods and results We retrospectively identified 69 consecutive HCM outpatients (age 58 ± 11 years; 83% men) who underwent both transthoracic echocardiography (TTE) and CMR. Guideline-based detection of LV diastolic dysfunction was assessed by TTE, blinded to CMR results. PBVI was calculated as the product of right ventricular stroke volume index and the number of cardiac cycles for a bolus of gadolinium to pass through the pulmonary circulation as assessed by first-pass perfusion imaging. Compared to patients with normal LAP, patients with increased LAP showed significantly larger PBVI (463 ± 127 vs. 310 ± 86 mL/m2, P < 0.001). PBVI increased progressively with worsening New York Heart Association functional class and echocardiographic stages of diastolic dysfunction (P < 0.001 for both). At the best cut-off point of 413 mL/m2, PBVI yielded good diagnostic accuracy for the diagnosis of LV diastolic dysfunction with increased LAP [C-statistic = 0.83; 95% confidence interval (CI): 0.73–0.94]. At multivariable logistic regression analysis, PBVI was an independent predictor of increased LAP (odds ratio per 10% increase: 1.97, 95% CI: 1.06–3.68; P = 0.03). Conclusion PBVI is a promising CMR application for assessment of diastolic function and LAP in patients with HCM and may serve as a quantitative marker for detection, grading, and monitoring of haemodynamic congestion.
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Affiliation(s)
- Fabrizio Ricci
- Institute for Advanced Biomedical Technologies, Department of Neuroscience, Imaging and Clinical Sciences, "G.d'Annunzio" University, Via Luigi Polacchi, 11 - 66100 Chieti, Italy.,William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK.,Department of Clinical Sciences, Lund University, Skåne University Hospital, SE-205 02 Malmö, Sweden.,Fondazione Villa Serena per la Ricerca, Viale Leonardo Petruzzi, 42 - 65013 Città Sant'Angelo, Italy
| | - Nay Aung
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Ross Thomson
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Redha Boubertakh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Claudia Camaioni
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Sara Doimo
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK.,Cardiovascular Department, Azienda Sanitaria Universitaria Integrata, University of Trieste, via Pietro Valdoni, 7 - 34149 Trieste, Italy
| | - Mihir M Sanghvi
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Kenneth Fung
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Mohammed Y Khanji
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Aaron Lee
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - James Malcolmson
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Cesare Mantini
- Institute for Advanced Biomedical Technologies, Department of Neuroscience, Imaging and Clinical Sciences, "G.d'Annunzio" University, Via Luigi Polacchi, 11 - 66100 Chieti, Italy
| | - José Paiva
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Sabina Gallina
- Institute for Advanced Biomedical Technologies, Department of Neuroscience, Imaging and Clinical Sciences, "G.d'Annunzio" University, Via Luigi Polacchi, 11 - 66100 Chieti, Italy
| | - Artur Fedorowski
- Department of Clinical Sciences, Lund University, Skåne University Hospital, SE-205 02 Malmö, Sweden
| | - Saidi A Mohiddin
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | | | - Steffen E Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
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Schiau C, Leucuța DC, Dudea SM, Manole S. Myocardial Fibrosis as a Predictor of Ventricular Arrhythmias in Patients With Non-ischemic Cardiomyopathy. In Vivo 2021; 35:1677-1685. [PMID: 33910852 DOI: 10.21873/invivo.12427] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 02/10/2021] [Accepted: 02/18/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND/AIM The aim of the study was to assess the relationship between myocardial fibrosis characteristics (percentage, localization, heterogeneity), evaluated by a non-invasive method such as cardiac magnetic resonance (CMR), with the extrasystolic ventricular arrhythmia in patients with non-ischemic cardiomyopathy. PATIENTS AND METHODS The study prospectively included 173 consecutive patients who underwent electrocardiogram Holter monitoring, transthoracic echocardiography and CMR with late gadolinium enhancement (LGE). RESULTS In univariate analysis, both the presence (OR=1.05, 95% CI=1.01-1.09; p=0.015), the percentage of fibrosis >15% (p=0.018), the septum size, the fibrosis in either lateral or septal walls (p=0.004), as well as fibrosis in the midwall (p=0.019) were statistically significant higher in the group with extrasystolic arrhythmia. After adjustment, the percentage of fibrosis >15%, had higher odds of extra systolic arrhythmia [OR=3.78 (95% CI=1.52-10.62, p=0.007)]. CONCLUSION The presence, percentage, and localisation of left ventricle myocardial fibrosis characterized by LGE-CMR was associated with ventricular arrhythmias.
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Affiliation(s)
- Călin Schiau
- Department of Radiology, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Daniel-Corneliu Leucuța
- Department of Medical Informatics and Biostatistics, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Sorin Marian Dudea
- Department of Radiology, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Simona Manole
- Department of Radiology, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
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Rajiah P, Kirsch J, Bolen MA, Batlle JC, Brown RKJ, Francois CJ, Galizia MS, Hanneman K, Inacio JR, Johri AM, Lee DC, Singh SP, Villines TC, Wann S, Zimmerman SL, Abbara S. ACR Appropriateness Criteria® Nonischemic Myocardial Disease with Clinical Manifestations (Ischemic Cardiomyopathy Already Excluded). J Am Coll Radiol 2021; 18:S83-S105. [PMID: 33651982 DOI: 10.1016/j.jacr.2021.01.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 01/27/2021] [Indexed: 12/13/2022]
Abstract
Nonischemic cardiomyopathies encompass a broad spectrum of myocardial disorders with mechanical or electrical dysfunction without evidence of ischemia. There are five broad variants of nonischemic cardiomyopathies; hypertrophic cardiomyopathy (Variant 1), restrictive or infiltrative cardiomyopathy (Variant 2), dilated or unclassified cardiomyopathy (Variant 3), arrhythmogenic cardiomyopathy (Variant 4), and inflammatory cardiomyopathy (Variant 5). For variants 1, 3, and 4, resting transthoracic echocardiography, MRI heart function and morphology without and with contrast, and MRI heart function and morphology without contrast are the usually appropriate imaging modalities. For variants 2 and 5, resting transthoracic echocardiography and MRI heart function and morphology without and with contrast are the usually appropriate imaging modalities. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
| | - Jacobo Kirsch
- Panel Chair, Cleveland Clinic Florida, Weston, Florida
| | - Michael A Bolen
- Panel Vice-Chair, Cleveland Clinic, Cleveland, Ohio, Radiology Fellowship Director for Cardiovascular CT/MRI Cleveland Clinic Main Campus
| | - Juan C Batlle
- Miami Cardiac and Vascular Institute and Baptist Health of South Florida, Miami, Florida
| | - Richard K J Brown
- University of Utah, Department of Radiology and Imaging Sciences, Salt Lake City, Utah
| | | | | | - Kate Hanneman
- Toronto General Hospital, University of Toronto, Toronto, Ontario, Canada, Director, Cardiac Imaging Research, Department of Medical Imaging, University of Toronto
| | - Joao R Inacio
- The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - Amer M Johri
- Queen's University, Kingston, Ontario, Canada, Cardiology expert
| | - Daniel C Lee
- Northwestern University Feinberg School of Medicine Chicago, Illinois, Society for Cardiovascular Magnetic Resonance, Co-Director, Cardiovascular Magnetic Resonance Imaging, Northwestern University Feinberg School of Medicine
| | | | - Todd C Villines
- University of Virginia Health System, Charlottesville, Virginia, Society of Cardiovascular Computed Tomography
| | - Samuel Wann
- Wisconsin Heart Hospital, Milwaukee, Wisconsin, Nuclear cardiology expert
| | | | - Suhny Abbara
- Specialty Chair, UT Southwestern Medical Center, Dallas, Texas
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Li S, Wu B, Yin G, Song L, Jiang Y, Huang J, Zhao S, Lu M. MRI Characteristics, Prevalence, and Outcomes of Hypertrophic Cardiomyopathy with Restrictive Phenotype. Radiol Cardiothorac Imaging 2021; 2:e190158. [PMID: 33778596 DOI: 10.1148/ryct.2020190158] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2019] [Revised: 03/20/2020] [Accepted: 03/31/2020] [Indexed: 01/14/2023]
Abstract
Purpose To investigate the MRI characteristics, prevalence, and outcomes of hypertrophic cardiomyopathy (HCM) with restrictive phenotype. Materials and Methods A total of 2592 consecutive patients with HCM were evaluated to identify individuals who fulfilled the diagnostic criteria of restrictive phenotype. Thirty-four patients with HCM (mean age, 41 years ± 16 [standard deviation]; range, 21-62 years, 16 men) with restrictive phenotype were retrospectively identified. Thirty-four patients with HCM with the same age and sex distributions were randomly selected as a control group. Kaplan-Meier survival curves were compared using log-rank statistics for survival analysis. Results The anteroposterior diameters of the left and right atria were 55 mm ± 5 and 61 mm ± 9, respectively, which were larger than those of the control group (P < .001). The maximum wall thickness in the restrictive group was lower than that in the control group (16 mm ± 2 vs 19 mm ± 3, P < .001). No significant difference was found in late gadolinium enhancement fraction between the restricted phenotype and the control group (15% ± 8 vs 13% ± 7, P = .376). The 5-year event-free survival from any cause of death and cardiac transplantation was 81% in the restrictive group, compared with 94% in the control group (log-rank P = .018). Conclusion Restrictive phenotype is a rare subtype of HCM and is associated with severe clinical symptoms and poor prognosis. The MRI features of this phenotype include mild to moderate left ventricular hypertrophy, markedly enlarged atria, moderate myocardial fibrosis, and pericardial effusion.© RSNA, 2020.
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Affiliation(s)
- Shuang Li
- Department of Magnetic Resonance Imaging (S.L., B.W., G.Y., S.Z., M.L.), Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L., G.Y.); Department of Cardiology (L.S.), Department of Echocardiography (Y.J.), and Heart-Lung Testing Center (J.H.), State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; and Department of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (B.W.)
| | - Bailing Wu
- Department of Magnetic Resonance Imaging (S.L., B.W., G.Y., S.Z., M.L.), Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L., G.Y.); Department of Cardiology (L.S.), Department of Echocardiography (Y.J.), and Heart-Lung Testing Center (J.H.), State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; and Department of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (B.W.)
| | - Gang Yin
- Department of Magnetic Resonance Imaging (S.L., B.W., G.Y., S.Z., M.L.), Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L., G.Y.); Department of Cardiology (L.S.), Department of Echocardiography (Y.J.), and Heart-Lung Testing Center (J.H.), State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; and Department of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (B.W.)
| | - Lei Song
- Department of Magnetic Resonance Imaging (S.L., B.W., G.Y., S.Z., M.L.), Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L., G.Y.); Department of Cardiology (L.S.), Department of Echocardiography (Y.J.), and Heart-Lung Testing Center (J.H.), State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; and Department of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (B.W.)
| | - Yong Jiang
- Department of Magnetic Resonance Imaging (S.L., B.W., G.Y., S.Z., M.L.), Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L., G.Y.); Department of Cardiology (L.S.), Department of Echocardiography (Y.J.), and Heart-Lung Testing Center (J.H.), State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; and Department of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (B.W.)
| | - Jinghan Huang
- Department of Magnetic Resonance Imaging (S.L., B.W., G.Y., S.Z., M.L.), Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L., G.Y.); Department of Cardiology (L.S.), Department of Echocardiography (Y.J.), and Heart-Lung Testing Center (J.H.), State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; and Department of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (B.W.)
| | - Shihua Zhao
- Department of Magnetic Resonance Imaging (S.L., B.W., G.Y., S.Z., M.L.), Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L., G.Y.); Department of Cardiology (L.S.), Department of Echocardiography (Y.J.), and Heart-Lung Testing Center (J.H.), State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; and Department of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (B.W.)
| | - Minjie Lu
- Department of Magnetic Resonance Imaging (S.L., B.W., G.Y., S.Z., M.L.), Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L., G.Y.); Department of Cardiology (L.S.), Department of Echocardiography (Y.J.), and Heart-Lung Testing Center (J.H.), State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; and Department of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (B.W.)
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Joseph N, Craft M, Mill L, Erickson CC, Danford DA, Kutty S, Li L. Assessment of mitral valve function in children and young adults with hypertrophic cardiomyopathy using three-dimensional echocardiography. Int J Cardiol 2021; 332:182-188. [PMID: 33753187 DOI: 10.1016/j.ijcard.2021.03.040] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Revised: 03/09/2021] [Accepted: 03/15/2021] [Indexed: 11/16/2022]
Abstract
OBJECTIVE The objective of this study was to assess papillary muscle (PM) and mitral valve (MV) structure and function in children and young adults with mild and moderate hypertrophic cardiomyopathy (HCM) using real-time three-dimensional echocardiography (3DE) and to correlate them with HCM related adverse outcomes. METHODS Transthoracic research 3DE was performed in HCM patients and controls matched for age and gender. Anterolateral and posteromedial PM mass, apical displacement of anterolateral PM, and left ventricular (LV) mass were measured and indexed to body surface area. The MV annulus and leaflet structure and function were analyzed. Individual PMs were manually planimetered by tracing the endocardial borders on each mid systole frame, taking care to distinguish PMs as distinct from the LV wall. Apical PM displacement was expressed as ratio of the distance between the apex and the base of the anterolateral PM to the entire length of the LV lateral wall (APL index). All 3DE measurements were correlated to adverse outcomes. RESULTS Forty subjects were studied, including 20 HCM patients (age 18.1 ± 9.6 years, 16 male and 4 female), and 20 controls (18.2 ± 9.6 years, 16 male and 4 female). The indexed LV mass in HCM was 74.8 ± 25.8 g/m2 compared to 50.8 ± 12.4 g/m2 in controls (p = 0.001). The anterolateral, posteromedial and combined PM mass were 3.1 ± 2.2 g/m2, 1.7 ± 1.2 g/m2 and 4.9 ± 2.7 g/m2 in HCM, in contrast to respective measurements of 1.1 ± 0.6 g/m2, 1.2 ± 0.6 g/m2 and 2.3 ± 0.8 g/m2 in controls (p < 0.001, p = 0.062, and p < 0.001, respectively). The mitral valve annular parameters (annulus circumference, height and area) in HCM were not significantly different from controls. The APL index in HCM was less than in controls (0.44 ± 0.07 vs. 0.55 ± 0.04, p < 0.001). The LV lateral wall length and LV mass correlated with adverse HCM outcomes, while the APL index and PM total mass were not associated with adverse events. CONCLUSION It is feasible to evaluate PM muscles and MV annulus geometry in children and young adults with HCM using 3DE. The morphologic and functional changes of anterolateral PM may occur in the absence of MV annulus changes. Prospective validation will be required to determine if LV lateral wall length and LV mass may be used as predictors of adverse events.
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Affiliation(s)
- Navya Joseph
- University of Nebraska Medical Center, Omaha, NE, United States
| | - Mary Craft
- University of Nebraska Medical Center, Omaha, NE, United States; Children's Hospital and Medical Center, Omaha, NE, United States
| | - LuAnn Mill
- University of Nebraska Medical Center, Omaha, NE, United States
| | - Christopher C Erickson
- University of Nebraska Medical Center, Omaha, NE, United States; Children's Hospital and Medical Center, Omaha, NE, United States
| | - David A Danford
- University of Nebraska Medical Center, Omaha, NE, United States; Children's Hospital and Medical Center, Omaha, NE, United States
| | - Shelby Kutty
- Johns Hopkins Hospital and School of Medicine, Baltimore, MD, United States.
| | - Ling Li
- University of Nebraska Medical Center, Omaha, NE, United States; Children's Hospital and Medical Center, Omaha, NE, United States
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Park J, Lee JM, Cho JS. Phenotypic Diversity of Cardiomyopathy Caused by an MYBPC3 Frameshift Mutation in a Korean Family: A Case Report. ACTA ACUST UNITED AC 2021; 57:medicina57030281. [PMID: 33803538 PMCID: PMC8002862 DOI: 10.3390/medicina57030281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 03/11/2021] [Accepted: 03/15/2021] [Indexed: 11/16/2022]
Abstract
Restrictive cardiomyopathy (RCM) is one of the rarest cardiac disorders, with a very poor prognosis, and heart transplantation is the only long-term treatment of choice. We reported that a Korean family presented different cardiomyopathies, such as idiopathic RCM and hypertrophic cardiomyopathy (HCM), caused by the same MYBPC3 mutation in different individuals. A 74-year-old male was admitted for the evaluation of exertional dyspnea, palpitations, and pitting edema in both legs for several months. Transthoracic echocardiography (TTE) showed RCM with biatrial enlargement and pericardial effusion. Cardiac magnetic resonance (CMR) images revealed normal left ventricular chamber size, borderline diffuse left ventricular hypertrophy and very large atria. In contrast to the proband, CMR images showed asymmetric septal hypertrophy of the left ventricle, consistent with a diagnosis of HCM in the proband’s two daughters. Of the five heterozygous variants identified as candidate causes of inherited cardiomyopathy by whole exome sequencing in the proband, Sanger sequencing confirmed the presence of a heterozygous frameshift mutation (NM_000256.3:c.3313_3314insGG; p.Ala1105Glyfs*85) in MYBPC3 in the proband and his affected daughters, but not in his unaffected granddaughter. There is clinical and genetic overlap of HCM with restrictive physiology and RCM, especially when HCM is combined with severe myocardial fibrosis. Family screening with genetic testing and CMR imaging could be excellent tools for the evaluation of idiopathic RCM.
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Affiliation(s)
- Joonhong Park
- Department of Laboratory Medicine, Jeonbuk National University Medical School and Hospital, Jeonju 54907, Korea;
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju 54907, Korea
| | - Jong-Min Lee
- Department of Cardiology, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea;
| | - Jung Sun Cho
- Department of Cardiology, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea;
- Correspondence: ; Tel.: +82-42-220-9686
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50
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Abstract
Purpose of Review The purpose of this review is to summarize the application of cardiac magnetic resonance (CMR) in the diagnostic and prognostic evaluation of patients with heart failure (HF). Recent Findings CMR is an important non-invasive imaging modality in the assessment of ventricular volumes and function and in the analysis of myocardial tissue characteristics. The information derived from CMR provides a comprehensive evaluation of HF. Its unique ability of tissue characterization not only helps to reveal the underlying etiologies of HF but also offers incremental prognostic information. Summary CMR is a useful non-invasive tool for the diagnosis and assessment of prognosis in patients suffering from heart failure.
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Affiliation(s)
- Chuanfen Liu
- Cardiovascular Division, Department of Medicine, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA USA
- Department of Cardiology, Peking University People’s Hospital, Beijing, China
| | - Victor A. Ferrari
- Cardiovascular Division, Department of Medicine, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA USA
| | - Yuchi Han
- Cardiovascular Division, Department of Medicine, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA USA
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