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Hesse K, Khanji MY, Aung N, Dabbagh GS, Petersen SE, Chahal CAA. Assessing heterogeneity on cardiovascular magnetic resonance imaging: a novel approach to diagnosis and risk stratification in cardiac diseases. Eur Heart J Cardiovasc Imaging 2024; 25:437-445. [PMID: 37982176 DOI: 10.1093/ehjci/jead285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 10/13/2023] [Accepted: 10/16/2023] [Indexed: 11/21/2023] Open
Abstract
Cardiac disease affects the heart non-uniformly. Examples include focal septal or apical hypertrophy with reduced strain in hypertrophic cardiomyopathy, replacement fibrosis with akinesia in an infarct-related coronary artery territory, and a pattern of scarring in dilated cardiomyopathy. The detail and versatility of cardiovascular magnetic resonance (CMR) imaging mean it contains a wealth of information imperceptible to the naked eye and not captured by standard global measures. CMR-derived heterogeneity biomarkers could facilitate early diagnosis, better risk stratification, and a more comprehensive prediction of treatment response. Small cohort and case-control studies demonstrate the feasibility of proof-of-concept structural and functional heterogeneity measures. Detailed radiomic analyses of different CMR sequences using open-source software delineate unique voxel patterns as hallmarks of histopathological changes. Meanwhile, measures of dispersion applied to emerging CMR strain sequences describe variable longitudinal, circumferential, and radial function across the myocardium. Two of the most promising heterogeneity measures are the mean absolute deviation of regional standard deviations on native T1 and T2 and the standard deviation of time to maximum regional radial wall motion, termed the tissue synchronization index in a 16-segment left ventricle model. Real-world limitations include the non-standardization of CMR imaging protocols across different centres and the testing of large numbers of radiomic features in small, inadequately powered patient samples. We, therefore, propose a three-step roadmap to benchmark novel heterogeneity biomarkers, including defining normal reference ranges, statistical modelling against diagnosis and outcomes in large epidemiological studies, and finally, comprehensive internal and external validations.
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Affiliation(s)
- Kerrick Hesse
- Cardiology Department, James Cook University Hospital, Marton Road, Middlesbrough TS4 3BW, UK
- Centre for Advanced Cardiovascular Imaging, William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London EC1M 6BQ, UK
| | - Mohammed Y Khanji
- Centre for Advanced Cardiovascular Imaging, William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London EC1M 6BQ, UK
- Newham University Hospital, Barts Health NHS Trust, Geln Road, Plaistow, London E13 8SL, UK
- Barts Heart Centre, Barts Health NHS Trust, St Bartholomew's Hospital, West Smithfield, London EC1A 7BE, UK
| | - Nay Aung
- Centre for Advanced Cardiovascular Imaging, William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London EC1M 6BQ, UK
- Barts Heart Centre, Barts Health NHS Trust, St Bartholomew's Hospital, West Smithfield, London EC1A 7BE, UK
| | - Ghaith Sharaf Dabbagh
- Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
- Center for Inherited Cardiovascular Diseases, WellSpan Health, 30 Monument Road, York, PA 17403, USA
| | - Steffen E Petersen
- Centre for Advanced Cardiovascular Imaging, William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London EC1M 6BQ, UK
- Barts Heart Centre, Barts Health NHS Trust, St Bartholomew's Hospital, West Smithfield, London EC1A 7BE, UK
- Health Data Research UK, Gibbs Building, 215 Euston Road, London NW1 2BE, UK
- Alan Turing Institute, 96 Euston Road, London NW1 2DB, UK
| | - C Anwar A Chahal
- Barts Heart Centre, Barts Health NHS Trust, St Bartholomew's Hospital, West Smithfield, London EC1A 7BE, UK
- Center for Inherited Cardiovascular Diseases, WellSpan Health, 30 Monument Road, York, PA 17403, USA
- Department of Cardiovascular Medicine, Mayo Clinic, 200 First Str, SW Rochester, MN 55905, USA
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She J, Zhao S, Chen Y, Zeng M, Jin H. Detecting Regional Fibrosis in Hypertrophic Cardiomyopathy: The Utility of Myocardial Strain Based on Cardiac Magnetic Resonance. Acad Radiol 2023; 30:230-238. [PMID: 35469720 DOI: 10.1016/j.acra.2022.03.022] [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: 02/04/2022] [Revised: 03/23/2022] [Accepted: 03/24/2022] [Indexed: 01/11/2023]
Abstract
RATIONALE AND OBJECTIVES The value of myocardial strain for reflecting fibrosis in patients with hypertrophic cardiomyopathy (HCM) on cardiac magnetic resonance (CMR) has not been definite. We aim to explore whether there are underlying non-contrast parameters to evaluate myocardial fibrosis and screen which may be the best. MATERIALS AND METHODS We retrospectively included 127 HCM patients (89 men; average age 46.6 ± 15.6 years) and 30 healthy controls (20 men; average age 52.0 ± 13.2 years) who have undergone late gadolinium enhancement (LGE) CMR. Next, 127 HCM patients were divided randomly into two sets including training cohort and validation cohort. Strain and imaging parameters were measured and analyzed statistically. RESULTS Based on univariate and multivariate analysis, segmental circumferential strain (SCS) (p < 0.001) and maximal wall thickness (MWT) (p < 0.001) may differentiate myocardial segments with or without LGE as significant biomarkers for both sets. The area under the curve (AUC) was 0.803 (95% CI 0.785-0.820) for SCS and 0.777 (95% CI 0.759-0.795) for MWT to identify myocardial fibrosis. When combining SCS >-13.9% and MWT >16.4mm, the specificity of the model (AUC = 0.779; 95% CI 0.760-0.796) achieved the highest 93.9%, with a sensitivity of 61.8%. CONCLUSION Strain analysis in HCM holds promise for myocardial fibrosis detection and SCS is the best strain parameter based on CMR. Nevertheless, the model of combining SCS and MWT could achieve the highest specificity for fibrotic diagnosis.
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Affiliation(s)
- Jiaqi She
- 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
| | - Shihai Zhao
- 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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Hou X, Xiong X, Li X, Bi J, Xu G, Wang Y, Jiang S. Predictive value of cardiac magnetic resonance mechanical parameters for myocardial fibrosis in hypertrophic cardiomyopathy with preserved left ventricular ejection fraction. Front Cardiovasc Med 2022; 9:1062258. [PMID: 36588558 PMCID: PMC9797817 DOI: 10.3389/fcvm.2022.1062258] [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: 10/05/2022] [Accepted: 11/29/2022] [Indexed: 12/23/2022] Open
Abstract
Objective Myocardial fibrosis leads to systolic dysfunction in hypertrophic cardiomyopathy (HCM) patients. This study aims to investigate the relationship between cardiac magnetic resonance mechanical parameters for evaluating the left ventricular function in HCM with preserved left ventricular ejection fraction (LVEF ≥50%) and the association between myocardial fibrosis defined by late gadolinium enhancement (LGE). Methods This study was a retrospective analysis of CMR images of 93 patients with HCM with preserved ejection fraction (HCMpEF) and 96 controls diagnosed by cardiac magnetic resonance (CMR) at our hospital from July 2019 to January 2022. The myocardial contraction fraction (MCF) was calculated, and myocardial mechanical parameters, including global myocardial longitudinal strain (GLS), circumferential strain (GLS), and myocardial strain (GLS), were obtained by tissue tracking and LGE quantitative modules of dedicated software, respectively. The correlation between myocardial strain and LGE was analyzed, and a multivariate logistic regression model was developed to discuss the risk predictors of LGE. Results Compared to the control group, the left ventricular mechanical parameters GLS (-13.90 ± 3.80% versus -18.20 ± 2.10%, p < 0.001), GCS (-16.62 ± 3.50% versus -18.4 ± 2.69%, p < 0.001), GRS (28.99 ± 10.38% versus 33.02 ± 6.25%, p < 0.01), and MCF (64 ± 16% versus 99 ± 18%, p < 0.001) were found significantly lower in HCM group. Moreover, even in LGE-negative HCM patients, GLS (-16.3 ± 3.9%) and MCF (78 ± 19%) were significantly lower compared to the control group. Left ventricular GLS [OR = 1.61, (1.29, 2.02), p = 0.001] and MCF [OR = 0.90, (0.86, 0.94), p = 0.001] independently predicted myocardial late gadolinium enhancement (LGE). Conclusion In participants of HCM with preserved ejection fraction, the early onset of reduced left ventricular GLS and MCF in patients with HCMpEF may provide new evidence for evaluating impaired myocardial systolic function. The reduction of myocardial mechanical indexes may reflect the presence and extent of myocardial fibrosis, and the more significant the reduction, the more severe the myocardial fibrosis; GLS and MCF may be ideal predictors for LGE.
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Affiliation(s)
- Xian Hou
- Department of Radiology, Quzhou Kecheng People’s Hospital, Quzhou, China
| | - Xing Xiong
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Xia Li
- Department of General Medicine, The Sixth Affiliated Hospital of Nantong University, Yancheng Third People’s Hospital, Yancheng, China
| | - Jianhua Bi
- Department of Medical College, Jiangsu Vocational College of Medicine, Yancheng, China
| | - Gaofeng Xu
- Department of Radiology, The First people’s Hospital of Yancheng, The Yancheng Clinical College of Xuzhou Medical University, Yancheng, China
| | - Yining Wang
- Department of Radiology, Peking Union Medical College, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China,*Correspondence: Yining Wang,
| | - Shu Jiang
- Department of Radiology, The First people’s Hospital of Yancheng, The Yancheng Clinical College of Xuzhou Medical University, Yancheng, China,Shu Jiang,
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Erley J, Zieschang V, Lapinskas T, Demir A, Wiesemann S, Haass M, Osman NF, Simonetti OP, Liu Y, Patel AR, Mor-Avi V, Unal O, Johnson KM, Pieske B, Hansmann J, Schulz-Menger J, Kelle S. A multi-vendor, multi-center study on reproducibility and comparability of fast strain-encoded cardiovascular magnetic resonance imaging. Int J Cardiovasc Imaging 2020; 36:899-911. [PMID: 32056087 PMCID: PMC7174273 DOI: 10.1007/s10554-020-01775-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 01/11/2020] [Indexed: 01/23/2023]
Abstract
Myocardial strain is a convenient parameter to quantify left ventricular (LV) function. Fast strain-encoding (fSENC) enables the acquisition of cardiovascular magnetic resonance images for strain-measurement within a few heartbeats during free-breathing. It is necessary to analyze inter-vendor agreement of techniques to determine strain, such as fSENC, in order to compare existing studies and plan multi-center studies. Therefore, the aim of this study was to investigate inter-vendor agreement and test-retest reproducibility of fSENC for three major MRI-vendors. fSENC-images were acquired three times in the same group of 15 healthy volunteers using 3 Tesla scanners from three different vendors: at the German Heart Institute Berlin, the Charité University Medicine Berlin-Campus Buch and the Theresien-Hospital Mannheim. Volunteers were scanned using the same imaging protocol composed of two fSENC-acquisitions, a 15-min break and another two fSENC-acquisitions. LV global longitudinal and circumferential strain (GLS, GCS) were analyzed by a trained observer (Myostrain 5.0, Myocardial Solutions) and for nine volunteers repeatedly by another observer. Inter-vendor agreement was determined using Bland-Altman analysis. Test-retest reproducibility and intra- and inter-observer reproducibility were analyzed using intraclass correlation coefficient (ICC) and coefficients of variation (CoV). Inter-vendor agreement between all three sites was good for GLS and GCS, with biases of 0.01–1.88%. Test-retest reproducibility of scans before and after the break was high, shown by ICC- and CoV values of 0.63–0.97 and 3–9% for GLS and 0.69–0.82 and 4–7% for GCS, respectively. Intra- and inter-observer reproducibility were excellent for both parameters (ICC of 0.77–0.99, CoV of 2–5%). This trial demonstrates good inter-vendor agreement and test–retest reproducibility of GLS and GCS measurements, acquired at three different scanners from three different vendors using fSENC. The results indicate that it is necessary to account for a possible bias (< 2%) when comparing strain measurements of different scanners. Technical differences between scanners, which impact inter-vendor agreement, should be further analyzed and minimized. DRKS Registration Number: 00013253. Universal Trial Number (UTN): U1111-1207-5874.
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Affiliation(s)
- Jennifer Erley
- Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Victoria Zieschang
- Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Tomas Lapinskas
- Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.,Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Aylin Demir
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Max-Delbrueck Center for Molecular Medicine, Department of Cardiology and Nephrology, Charité Medical Faculty, HELIOS Klinikum Berlin Buch, Berlin, Germany
| | - Stephanie Wiesemann
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Max-Delbrueck Center for Molecular Medicine, Department of Cardiology and Nephrology, Charité Medical Faculty, HELIOS Klinikum Berlin Buch, Berlin, Germany
| | - Markus Haass
- Department of Internal Medicine/Cardiology/Angiology, Theresienkrankenhaus Und St. Hedwig-Klinik, Mannheim, Germany
| | - Nael F Osman
- Department of Radiology and Radiological Science, School of Medicine, John Hopkins University, Baltimore, MD, USA.,Myocardial Solutions, Inc, Morrisville, NC, USA
| | - Orlando P Simonetti
- Departments of Internal Medicine and Radiology, The Ohio State University, Columbus, OH, USA
| | - Yingmin Liu
- Dorothy M. Davis Heart and Lung Research Institute, Wexner Medical Center, The Ohio State University, Columbus, OH, USA
| | - Amit R Patel
- Department of Cardiology, University of Chicago Medicine, Chicago, IL, USA
| | - Victor Mor-Avi
- Department of Cardiology, University of Chicago Medicine, Chicago, IL, USA
| | - Orhan Unal
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Kevin M Johnson
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Burkert Pieske
- Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.,Department of Internal Medicine/Cardiology, Charité Campus Virchow Klinikum, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Jochen Hansmann
- Department of Radiology, Theresienkrankenhaus Und St. Hedwig-Klinik, Mannheim, Germany
| | - Jeanette Schulz-Menger
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Max-Delbrueck Center for Molecular Medicine, Department of Cardiology and Nephrology, Charité Medical Faculty, HELIOS Klinikum Berlin Buch, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Sebastian Kelle
- Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Augustenburger Platz 1, 13353, Berlin, Germany. .,Department of Internal Medicine/Cardiology, Charité Campus Virchow Klinikum, Berlin, Germany. .,DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.
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5
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Erley J, Genovese D, Tapaskar N, Alvi N, Rashedi N, Besser SA, Kawaji K, Goyal N, Kelle S, Lang RM, Mor-Avi V, Patel AR. Echocardiography and cardiovascular magnetic resonance based evaluation of myocardial strain and relationship with late gadolinium enhancement. J Cardiovasc Magn Reson 2019; 21:46. [PMID: 31391036 PMCID: PMC6686365 DOI: 10.1186/s12968-019-0559-y] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 07/01/2019] [Indexed: 01/15/2023] Open
Abstract
OBJECTIVES We sought to: (1) determine the agreement in cardiovascular magnetic resonance (CMR) and speckle tracking echocardiography (STE) derived strain measurements, (2) compare their reproducibility, (3) determine which approach is best related to CMR late gadolinium enhancement (LGE). BACKGROUND While STE-derived strain is routinely used to assess left ventricular (LV) function, CMR strain measurements are not yet standardized. Strain can be measured using dedicated pulse sequences (strain-encoding, SENC), or post-processing of cine images (feature tracking, FT). It is unclear whether these measurements are interchangeable, and whether strain can be used as an alternative to LGE. METHODS Fifty patients underwent 2D echocardiography and 1.5 T CMR. Global longitudinal strain (GLS) was measured by STE (Epsilon), FT (NeoSoft) and SENC (Myocardial Solutions) and circumferential strain (GCS) by FT and SENC. RESULTS GLS showed good inter-modality agreement (r-values: 0.71-0.75), small biases (< 1%) but considerable limits of agreement (- 7 to 8%). The agreement between the CMR techniques was better for GLS than GCS (r = 0.81 vs 0.67; smaller bias). Repeated measurements showed low intra- and inter-observer variability for both GLS and GCS (intraclass correlations 0.86-0.99; coefficients of variation 3-13%). LGE was present in 22 (44%) of patients. Both SENC- and FT-derived GLS and GCS were associated with LGE, while STE-GLS was not. Irrespective of CMR technique, this association was stronger for GCS (AUC 0.77-0.78) than GLS (AUC 0.67-0.72) and STE-GLS (AUC = 0.58). CONCLUSION There is good inter-technique agreement in strain measurements, which were highly reproducible, irrespective of modality or analysis technique. GCS may better reflect the presence of underlying LGE than GLS.
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Affiliation(s)
- Jennifer Erley
- Department of Internal Medicine / Cardiology, German Heart Center, Berlin, Germany
| | - Davide Genovese
- Department of Medicine, University of Chicago Medical Center, 5758 S. Maryland Avenue, MC9067, Chicago, IL 60637 USA
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padua, Padua, Italy
| | - Natalie Tapaskar
- Department of Medicine, University of Chicago Medical Center, 5758 S. Maryland Avenue, MC9067, Chicago, IL 60637 USA
| | - Nazia Alvi
- Department of Medicine, University of Chicago Medical Center, 5758 S. Maryland Avenue, MC9067, Chicago, IL 60637 USA
- Department of Cardiology, Riverside Medical Center, Kankakee, IL USA
| | - Nina Rashedi
- Department of Medicine, University of Chicago Medical Center, 5758 S. Maryland Avenue, MC9067, Chicago, IL 60637 USA
| | - Stephanie A. Besser
- Department of Medicine, University of Chicago Medical Center, 5758 S. Maryland Avenue, MC9067, Chicago, IL 60637 USA
| | - Keigo Kawaji
- Department of Medicine, University of Chicago Medical Center, 5758 S. Maryland Avenue, MC9067, Chicago, IL 60637 USA
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL USA
| | - Neha Goyal
- Department of Medicine, University of Chicago Medical Center, 5758 S. Maryland Avenue, MC9067, Chicago, IL 60637 USA
| | - Sebastian Kelle
- Department of Internal Medicine / Cardiology, German Heart Center, Berlin, Germany
- Department of Internal Medicine/Cardiology, Charité Campus Virchow Klinikum, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Roberto M. Lang
- Department of Medicine, University of Chicago Medical Center, 5758 S. Maryland Avenue, MC9067, Chicago, IL 60637 USA
| | - Victor Mor-Avi
- Department of Medicine, University of Chicago Medical Center, 5758 S. Maryland Avenue, MC9067, Chicago, IL 60637 USA
| | - Amit R. Patel
- Department of Medicine, University of Chicago Medical Center, 5758 S. Maryland Avenue, MC9067, Chicago, IL 60637 USA
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Korosoglou G, Giusca S, Hofmann NP, Patel AR, Lapinskas T, Pieske B, Steen H, Katus HA, Kelle S. Strain-encoded magnetic resonance: a method for the assessment of myocardial deformation. ESC Heart Fail 2019; 6:584-602. [PMID: 31021534 PMCID: PMC6676282 DOI: 10.1002/ehf2.12442] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Accepted: 03/28/2019] [Indexed: 12/26/2022] Open
Abstract
This study aims to assess the usefulness of strain‐encoded magnetic resonance (SENC) for the quantification of myocardial deformation (‘strain’) in healthy volunteers and for the diagnostic workup of patients with different cardiovascular pathologies. SENC was initially described in the year 2001. Since then, the SENC sequence has undergone several technical developments, aiming at the detection of strain during single‐heartbeat acquisitions (fast‐SENC). Experimental and clinical studies that used SENC and fast‐SENC or compared SENC with conventional cine or tagged magnetic resonance in phantoms, animals, healthy volunteers, or patients were systematically searched for in PubMed. Using ‘strain‐encoded magnetic resonance and SENC’ as keywords, three phantom and three animal studies were identified, along with 27 further clinical studies, involving 185 healthy subjects and 904 patients. SENC (i) enabled reproducible assessment of myocardial deformation in vitro, in animals and in healthy volunteers, (ii) showed high reproducibility and substantially lower time spent compared with conventional tagging, (iii) exhibited incremental value to standard cine imaging for the detection of inducible ischaemia and for the risk stratification of patients with ischaemic heart disease, and (iv) enabled the diagnostic classification of patients with transplant vasculopathy, cardiomyopathies, pulmonary hypertension, and diabetic heart disease. SENC has the potential to detect a wide range of myocardial diseases early, accurately, and without the need of contrast agent injection, possibly enabling the initiation of specific cardiac therapies during earlier disease stages. Its one‐heartbeat acquisition mode during free breathing results in shorter cardiovascular magnetic resonance protocols, making its implementation in the clinical realm promising.
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Affiliation(s)
- Grigorios Korosoglou
- Departments of Cardiology, Vascular Medicine and Pneumology, GRN Hospital Weinheim, Weinheim, Germany
| | - Sorin Giusca
- Departments of Cardiology, Vascular Medicine and Pneumology, GRN Hospital Weinheim, Weinheim, Germany
| | - Nina P Hofmann
- Departments of Cardiology, Vascular Medicine and Pneumology, GRN Hospital Weinheim, Weinheim, Germany
| | - Amit R Patel
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Tomas Lapinskas
- Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Burkert Pieske
- Department of Internal Medicine, Cardiology German Heart Center Berlin, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.,Department of Internal Medicine/Cardiology, Charité Campus Virchow Clinic, Berlin, Germany
| | - Henning Steen
- Department of Cardiology, Marien Hospital Hamburg, Hamburg, Germany
| | - Hugo A Katus
- Departments of Cardiology, Angiology and Pneumology, Heidelberg University, Heidelberg, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Mannheim, Germany
| | - Sebastian Kelle
- Department of Internal Medicine, Cardiology German Heart Center Berlin, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.,Department of Internal Medicine/Cardiology, Charité Campus Virchow Clinic, Berlin, Germany
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