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Licordari R, Trimarchi G, Teresi L, Restelli D, Lofrumento F, Perna A, Campisi M, de Gregorio C, Grimaldi P, Calabrò D, Costa F, Versace AG, Micari A, Aquaro GD, Di Bella G. Cardiac Magnetic Resonance in HCM Phenocopies: From Diagnosis to Risk Stratification and Therapeutic Management. J Clin Med 2023; 12:jcm12103481. [PMID: 37240587 DOI: 10.3390/jcm12103481] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 05/06/2023] [Accepted: 05/13/2023] [Indexed: 05/28/2023] Open
Abstract
Hypertrophic cardiomyopathy (HCM) is a genetic heart disease characterized by the thickening of the heart muscle, which can lead to symptoms such as chest pain, shortness of breath, and an increased risk of sudden cardiac death. However, not all patients with HCM have the same underlying genetic mutations, and some have conditions that resemble HCM but have different genetic or pathophysiological mechanisms, referred to as phenocopies. Cardiac magnetic resonance (CMR) imaging has emerged as a powerful tool for the non-invasive assessment of HCM and its phenocopies. CMR can accurately quantify the extent and distribution of hypertrophy, assess the presence and severity of myocardial fibrosis, and detect associated abnormalities. In the context of phenocopies, CMR can aid in the differentiation between HCM and other diseases that present with HCM-like features, such as cardiac amyloidosis (CA), Anderson-Fabry disease (AFD), and mitochondrial cardiomyopathies. CMR can provide important diagnostic and prognostic information that can guide clinical decision-making and management strategies. This review aims to describe the available evidence of the role of CMR in the assessment of hypertrophic phenotype and its diagnostic and prognostic implications.
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Affiliation(s)
- Roberto Licordari
- Department of Biomedical and Dental Sciences and Morphological and Functional Imaging, University of Messina, 98100 Messina, Italy
| | - Giancarlo Trimarchi
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy
| | - Lucio Teresi
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy
| | - Davide Restelli
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy
| | - Francesca Lofrumento
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy
| | - Alessia Perna
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy
| | - Mariapaola Campisi
- Department of Biomedical and Dental Sciences and Morphological and Functional Imaging, University of Messina, 98100 Messina, Italy
| | - Cesare de Gregorio
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy
| | - Patrizia Grimaldi
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy
| | - Danila Calabrò
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy
| | - Francesco Costa
- Department of Biomedical and Dental Sciences and Morphological and Functional Imaging, University of Messina, 98100 Messina, Italy
| | | | - Antonio Micari
- Department of Biomedical and Dental Sciences and Morphological and Functional Imaging, University of Messina, 98100 Messina, Italy
| | - Giovanni Donato Aquaro
- Academic Radiology Unit, Department of Surgical Medical and Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy
| | - Gianluca Di Bella
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy
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Collinearity and Dimensionality Reduction in Radiomics: Effect of Preprocessing Parameters in Hypertrophic Cardiomyopathy Magnetic Resonance T1 and T2 Mapping. BIOENGINEERING (BASEL, SWITZERLAND) 2023; 10:bioengineering10010080. [PMID: 36671652 PMCID: PMC9854492 DOI: 10.3390/bioengineering10010080] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 12/23/2022] [Indexed: 01/11/2023]
Abstract
Radiomics and artificial intelligence have the potential to become a valuable tool in clinical applications. Frequently, radiomic analyses through machine learning methods present issues caused by high dimensionality and multicollinearity, and redundant radiomic features are usually removed based on correlation analysis. We assessed the effect of preprocessing-in terms of voxel size resampling, discretization, and filtering-on correlation-based dimensionality reduction in radiomic features from cardiac T1 and T2 maps of patients with hypertrophic cardiomyopathy. For different combinations of preprocessing parameters, we performed a dimensionality reduction of radiomic features based on either Pearson's or Spearman's correlation coefficient, followed by the computation of the stability index. With varying resampling voxel size and discretization bin width, for both T1 and T2 maps, Pearson's and Spearman's dimensionality reduction produced a slightly different percentage of remaining radiomic features, with a relatively high stability index. For different filters, the remaining features' stability was instead relatively low. Overall, the percentage of eliminated radiomic features through correlation-based dimensionality reduction was more dependent on resampling voxel size and discretization bin width for textural features than for shape or first-order features. Notably, correlation-based dimensionality reduction was less sensitive to preprocessing when considering radiomic features from T2 compared with T1 maps.
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Marfisi D, Tessa C, Marzi C, Del Meglio J, Linsalata S, Borgheresi R, Lilli A, Lazzarini R, Salvatori L, Vignali C, Barucci A, Mascalchi M, Casolo G, Diciotti S, Traino AC, Giannelli M. Image resampling and discretization effect on the estimate of myocardial radiomic features from T1 and T2 mapping in hypertrophic cardiomyopathy. Sci Rep 2022; 12:10186. [PMID: 35715531 PMCID: PMC9205876 DOI: 10.1038/s41598-022-13937-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 03/21/2022] [Indexed: 12/24/2022] Open
Abstract
Radiomics is emerging as a promising and useful tool in cardiac magnetic resonance (CMR) imaging applications. Accordingly, the purpose of this study was to investigate, for the first time, the effect of image resampling/discretization and filtering on radiomic features estimation from quantitative CMR T1 and T2 mapping. Specifically, T1 and T2 maps of 26 patients with hypertrophic cardiomyopathy (HCM) were used to estimate 98 radiomic features for 7 different resampling voxel sizes (at fixed bin width), 9 different bin widths (at fixed resampling voxel size), and 7 different spatial filters (at fixed resampling voxel size/bin width). While we found a remarkable dependence of myocardial radiomic features from T1 and T2 mapping on image filters, many radiomic features showed a limited sensitivity to resampling voxel size/bin width, in terms of intraclass correlation coefficient (> 0.75) and coefficient of variation (< 30%). The estimate of most textural radiomic features showed a linear significant (p < 0.05) correlation with resampling voxel size/bin width. Overall, radiomic features from T2 maps have proven to be less sensitive to image preprocessing than those from T1 maps, especially when varying bin width. Our results might corroborate the potential of radiomics from T1/T2 mapping in HCM and hopefully in other myocardial diseases.
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Affiliation(s)
- Daniela Marfisi
- Unit of Medical Physics, Pisa University Hospital "Azienda Ospedaliero-Universitaria Pisana", Via Roma 67, 56126, Pisa, Italy
| | - Carlo Tessa
- Unit of Radiology, Azienda USL Toscana Nord Ovest, Apuane Hospital, 54100, Massa, Italy
| | - Chiara Marzi
- Institute of Applied Physics "Nello Carrara", Italian National Research Council, 50019, Sesto Fiorentino, Italy
| | - Jacopo Del Meglio
- Unit of Cardiology, Azienda USL Toscana Nord Ovest, Versilia Hospital, 55041, Lido di Camaiore, Italy
| | - Stefania Linsalata
- Unit of Medical Physics, Pisa University Hospital "Azienda Ospedaliero-Universitaria Pisana", Via Roma 67, 56126, Pisa, Italy
| | - Rita Borgheresi
- Unit of Medical Physics, Pisa University Hospital "Azienda Ospedaliero-Universitaria Pisana", Via Roma 67, 56126, Pisa, Italy
| | - Alessio Lilli
- Unit of Cardiology, Azienda USL Toscana Nord Ovest, Versilia Hospital, 55041, Lido di Camaiore, Italy
| | - Riccardo Lazzarini
- Unit of Radiology, Azienda USL Toscana Nord Ovest, Versilia Hospital, 55041, Lido di Camaiore, Italy
| | - Luca Salvatori
- Unit of Radiology, Azienda USL Toscana Nord Ovest, Versilia Hospital, 55041, Lido di Camaiore, Italy
| | - Claudio Vignali
- Unit of Radiology, Azienda USL Toscana Nord Ovest, Versilia Hospital, 55041, Lido di Camaiore, Italy
| | - Andrea Barucci
- Institute of Applied Physics "Nello Carrara", Italian National Research Council, 50019, Sesto Fiorentino, Italy
| | - Mario Mascalchi
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50121, Florence, Italy
| | - Giancarlo Casolo
- Unit of Cardiology, Azienda USL Toscana Nord Ovest, Versilia Hospital, 55041, Lido di Camaiore, Italy
| | - Stefano Diciotti
- Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, 47522, Cesena, Italy
| | - Antonio Claudio Traino
- Unit of Medical Physics, Pisa University Hospital "Azienda Ospedaliero-Universitaria Pisana", Via Roma 67, 56126, Pisa, Italy
| | - Marco Giannelli
- Unit of Medical Physics, Pisa University Hospital "Azienda Ospedaliero-Universitaria Pisana", Via Roma 67, 56126, Pisa, Italy.
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Syncope in hypertrophic cardiomyopathy (part I): An updated systematic review and meta-analysis. Int J Cardiol 2022; 357:88-94. [PMID: 35304190 DOI: 10.1016/j.ijcard.2022.03.028] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 03/02/2022] [Accepted: 03/11/2022] [Indexed: 12/30/2022]
Abstract
AIMS To describe the proportion of patients with syncope among those affected by hypertrophic cardiomyopathy (HCM) and the relevance of syncope as risk factor for sudden cardiac death and life-threatening arrhythmic events. METHOD AND RESULTS Systematic review of original articles that assessed syncope in HCM patients. Literature search of PubMed including all English publications from 1973 to 2021.We found 57 articles for a total of 21.791 patients; of these, 14 studies reported on arrhythmic events in the follow-up. Syncope was reported in 15.8% (3.452 of 21.791) patients. It was considered unexplained in 91% of cases. Life-threatening arrhythmic events occurred in 3.6% of non-syncopal patients and in 7.7% of syncopal patients during a mean follow-up of 5.6 years. A relative risk of 1.99 (95%CI 1.39 to 2.86) was estimated for syncope patients by the random effect model using Haldane continuity correction for 0 events. CONCLUSIONS In the current practice, the cause of syncope remained unexplained in most patients affected by HCM. The management of patients seems mainly driven by risk stratification rather than identification of the aetiology of syncope. There is a need of precise instructions how to apply the recommendations of current guidelines to this disease, which tests are indicated and how to interpret their findings. The protocol was registered in Prospero (ID: 275963).
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Vasques‐Nóvoa F, Angélico‐Gonçalves A, Alvarenga JM, Nobrega J, Cerqueira RJ, Mancio J, Leite‐Moreira AF, Roncon‐Albuquerque R. Myocardial oedema: pathophysiological basis and implications for the failing heart. ESC Heart Fail 2022; 9:958-976. [PMID: 35150087 PMCID: PMC8934951 DOI: 10.1002/ehf2.13775] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 10/27/2021] [Accepted: 12/02/2021] [Indexed: 12/04/2022] Open
Abstract
Myocardial fluid homeostasis relies on a complex interplay between microvascular filtration, interstitial hydration, cardiomyocyte water uptake and lymphatic removal. Dysregulation of one or more of these mechanisms may result in myocardial oedema. Interstitial and intracellular fluid accumulation disrupts myocardial architecture, intercellular communication, and metabolic pathways, decreasing contractility and increasing myocardial stiffness. The widespread use of cardiac magnetic resonance enabled the identification of myocardial oedema as a clinically relevant imaging finding with prognostic implications in several types of heart failure. Furthermore, growing experimental evidence has contributed to a better understanding of the physical and molecular interactions in the microvascular barrier, myocardial interstitium and lymphatics and how they might be disrupted in heart failure. In this review, we summarize current knowledge on the factors controlling myocardial water balance in the healthy and failing heart and pinpoint the new potential therapeutic avenues.
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Affiliation(s)
- Francisco Vasques‐Nóvoa
- Cardiovascular R&D Center, Faculty of MedicineUniversity of PortoPortoPortugal
- Department of Surgery and Physiology, Faculty of MedicineUniversity of PortoAl. Prof. Hernâni MonteiroPorto4200‐319Portugal
| | - António Angélico‐Gonçalves
- Cardiovascular R&D Center, Faculty of MedicineUniversity of PortoPortoPortugal
- Department of Surgery and Physiology, Faculty of MedicineUniversity of PortoAl. Prof. Hernâni MonteiroPorto4200‐319Portugal
| | - José M.G. Alvarenga
- Cardiovascular R&D Center, Faculty of MedicineUniversity of PortoPortoPortugal
- Department of Surgery and Physiology, Faculty of MedicineUniversity of PortoAl. Prof. Hernâni MonteiroPorto4200‐319Portugal
| | - João Nobrega
- Cardiovascular R&D Center, Faculty of MedicineUniversity of PortoPortoPortugal
- Department of Surgery and Physiology, Faculty of MedicineUniversity of PortoAl. Prof. Hernâni MonteiroPorto4200‐319Portugal
| | - Rui J. Cerqueira
- Cardiovascular R&D Center, Faculty of MedicineUniversity of PortoPortoPortugal
- Department of Surgery and Physiology, Faculty of MedicineUniversity of PortoAl. Prof. Hernâni MonteiroPorto4200‐319Portugal
| | - Jennifer Mancio
- Cardiovascular R&D Center, Faculty of MedicineUniversity of PortoPortoPortugal
- Department of Surgery and Physiology, Faculty of MedicineUniversity of PortoAl. Prof. Hernâni MonteiroPorto4200‐319Portugal
| | - Adelino F. Leite‐Moreira
- Cardiovascular R&D Center, Faculty of MedicineUniversity of PortoPortoPortugal
- Department of Surgery and Physiology, Faculty of MedicineUniversity of PortoAl. Prof. Hernâni MonteiroPorto4200‐319Portugal
| | - Roberto Roncon‐Albuquerque
- Cardiovascular R&D Center, Faculty of MedicineUniversity of PortoPortoPortugal
- Department of Surgery and Physiology, Faculty of MedicineUniversity of PortoAl. Prof. Hernâni MonteiroPorto4200‐319Portugal
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Thompson EW, Kamesh Iyer S, Solomon MP, Li Z, Zhang Q, Piechnik S, Werys K, Swago S, Moon BF, Rodgers ZB, Hall A, Kumar R, Reza N, Kim J, Jamil A, Desjardins B, Litt H, Owens A, Witschey WRT, Han Y. Endogenous T1ρ cardiovascular magnetic resonance in hypertrophic cardiomyopathy. J Cardiovasc Magn Reson 2021; 23:120. [PMID: 34689798 PMCID: PMC8543937 DOI: 10.1186/s12968-021-00813-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 09/13/2021] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Hypertrophic cardiomyopathy (HCM) is characterized by increased left ventricular wall thickness, cardiomyocyte hypertrophy, and fibrosis. Adverse cardiac risk characterization has been performed using late gadolinium enhancement (LGE), native T1, and extracellular volume (ECV). Relaxation time constants are affected by background field inhomogeneity. T1ρ utilizes a spin-lock pulse to decrease the effect of unwanted relaxation. The objective of this study was to study T1ρ as compared to T1, ECV, and LGE in HCM patients. METHODS HCM patients were recruited as part of the Novel Markers of Prognosis in Hypertrophic Cardiomyopathy study, and healthy controls were matched for comparison. In addition to cardiac functional imaging, subjects underwent T1 and T1ρ cardiovascular magnetic resonance imaging at short-axis positions at 1.5T. Subjects received gadolinium and underwent LGE imaging 15-20 min after injection covering the entire heart. Corresponding basal and mid short axis LGE slices were selected for comparison with T1 and T1ρ. Full-width half-maximum thresholding was used to determine the percent enhancement area in each LGE-positive slice by LGE, T1, and T1ρ. Two clinicians independently reviewed LGE images for presence or absence of enhancement. If in agreement, the image was labeled positive (LGE + +) or negative (LGE --); otherwise, the image was labeled equivocal (LGE + -). RESULTS In 40 HCM patients and 10 controls, T1 percent enhancement area (Spearman's rho = 0.61, p < 1e-5) and T1ρ percent enhancement area (Spearman's rho = 0.48, p < 0.001e-3) correlated with LGE percent enhancement area. T1 and T1ρ percent enhancement areas were also correlated (Spearman's rho = 0.28, p = 0.047). For both T1 and T1ρ, HCM patients demonstrated significantly longer relaxation times compared to controls in each LGE category (p < 0.001 for all). HCM patients also showed significantly higher ECV compared to controls in each LGE category (p < 0.01 for all), and LGE -- slices had lower ECV than LGE + + (p = 0.01). CONCLUSIONS Hyperenhancement areas as measured by T1ρ and LGE are moderately correlated. T1, T1ρ, and ECV were elevated in HCM patients compared to controls, irrespective of the presence of LGE. These findings warrant additional studies to investigate the prognostic utility of T1ρ imaging in the evaluation of HCM patients.
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Affiliation(s)
- Elizabeth W Thompson
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Michael P Solomon
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Zhaohuan Li
- Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Ultrasound in Cardiac Electrophysiology and Biomechanics Key Laboratory of Sichuan Province, Cardiovascular Ultrasound and Non-Invasive Cardiology Department, Affiliated Hospital of University of Electronic Science and Technology of China, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu, Sichuan, China
| | - Qiang Zhang
- Oxford Center for Clinical Magnetic Resonance Research, Oxford BRC NIHR, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Stefan Piechnik
- Oxford Center for Clinical Magnetic Resonance Research, Oxford BRC NIHR, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Konrad Werys
- Circle Cardiovascular Imaging Inc., Calgary, AB, Canada
| | - Sophia Swago
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Brianna F Moon
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Zachary B Rodgers
- Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Anya Hall
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Rishabh Kumar
- Department of Biophysics, University of Pennsylvania, Philadelphia, PA, USA
| | - Nosheen Reza
- Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jessica Kim
- Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Alisha Jamil
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Benoit Desjardins
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Harold Litt
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Anjali Owens
- Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Yuchi Han
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
- Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Perelman School of Medicine, University of Pennsylvania, 11-135, South Pavilion, 3400 Civic Center Blvd., Philadelphia, PA, 19104, USA.
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Abstract
Heart failure affects 1-2% of the adult population and one of the main contributors to its development is cardiomyopathy. Assessing a patient's risk for adverse events in heart failure is challenging and made more difficult by the heterogenous phenotypic expression of the disease. Cardiac MRI has long been a gold standard measure of myocardial function and anatomy due to its high spatial and temporal resolution. More recently, it has been posited to play a more critical role in the diagnosis and prognosis of cardiomyopathy-related heart failure. Given the limitations of more commonly used imaging modalities, increasing the clinical use of cardiac magnetic resonance imaging could potentially improve the prognosis of specific subgroups of patients at risk of adverse cardiac events.
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Affiliation(s)
- Nishant Lahoti
- Barts & The London School of Medicine & Dentistry, Queen Mary University of London, London, UK
| | - Richard J Jabbour
- Department of Medicine, Faculty of Medicine, Imperial College London, London, UK.,Imperial College Healthcare Trust, Hammersmith Hospital, London, UK
| | - Ben Ariff
- Department of Medicine, Faculty of Medicine, Imperial College London, London, UK.,Imperial College Healthcare Trust, Hammersmith Hospital, London, UK
| | - Brian Xiangzhi Wang
- Department of Medicine, Faculty of Medicine, Imperial College London, London, UK
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8
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Huang L, Zhao P, Tang D, Zhu T, Han R, Zhan C, Liu W, Zeng H, Tao Q, Xia L. Cardiac Involvement in Patients Recovered From COVID-2019 Identified Using Magnetic Resonance Imaging. JACC Cardiovasc Imaging 2020; 13:2330-2339. [PMID: 32763118 PMCID: PMC7214335 DOI: 10.1016/j.jcmg.2020.05.004] [Citation(s) in RCA: 367] [Impact Index Per Article: 91.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 04/30/2020] [Accepted: 05/04/2020] [Indexed: 12/14/2022]
Abstract
Objectives This study evaluated cardiac involvement in patients recovered from coronavirus disease-2019 (COVID-19) using cardiac magnetic resonance (CMR). Background Myocardial injury caused by COVID-19 was previously reported in hospitalized patients. It is unknown if there is sustained cardiac involvement after patients' recovery from COVID-19. Methods Twenty-six patients recovered from COVID-19 who reported cardiac symptoms and underwent CMR examinations were retrospectively included. CMR protocols consisted of conventional sequences (cine, T2-weighted imaging, and late gadolinium enhancement [LGE]) and quantitative mapping sequences (T1, T2, and extracellular volume [ECV] mapping). Edema ratio and LGE were assessed in post-COVID-19 patients. Cardiac function, native T1/T2, and ECV were quantitatively evaluated and compared with controls. Results Fifteen patients (58%) had abnormal CMR findings on conventional CMR sequences: myocardial edema was found in 14 (54%) patients and LGE was found in 8 (31%) patients. Decreased right ventricle functional parameters including ejection fraction, cardiac index, and stroke volume/body surface area were found in patients with positive conventional CMR findings. Using quantitative mapping, global native T1, T2, and ECV were all found to be significantly elevated in patients with positive conventional CMR findings, compared with patients without positive findings and controls (median [interquartile range]: native T1 1,271 ms [1,243 to 1,298 ms] vs. 1,237 ms [1,216 to 1,262 ms] vs. 1,224 ms [1,217 to 1,245 ms]; mean ± SD: T2 42.7 ± 3.1 ms vs. 38.1 ms ± 2.4 vs. 39.1 ms ± 3.1; median [interquartile range]: 28.2% [24.8% to 36.2%] vs. 24.8% [23.1% to 25.4%] vs. 23.7% [22.2% to 25.2%]; p = 0.002; p < 0.001, and p = 0.002, respectively). Conclusions Cardiac involvement was found in a proportion of patients recovered from COVID-19. CMR manifestation included myocardial edema, fibrosis, and impaired right ventricle function. Attention should be paid to the possible myocardial involvement in patients recovered from COVID-19 with cardiac symptoms.
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Key Words
- ACE2, angiotensin-converting enzyme 2
- AHA, American Heart Association
- BSA, body surface area
- CI, cardiac index
- CMR, cardiac magnetic resonance
- CO, cardiac output
- COVID-19, coronavirus disease-2019
- ECV, extracellular volume
- EDV, end-diastolic volume
- EF, ejection fraction
- ER, edema ratio
- ESV, end-systolic volume
- FA, flip angle
- FOV, field of view
- IQR, interquartile range
- LGE, late gadolinium enhancement
- LV, left ventricle
- LVEF, left ventricular ejection fraction
- PSIR, phase-sensitive inversion-recovery
- RT-PCR, reverse transcription and polymerase chain reaction
- RV, right ventricle
- RVEF, right ventricular ejection fraction
- SARS-CoV-2, severe acute respiratory syndrome-coronavirus-2
- SI, signal intensity
- SSFP, steady state free precession
- STIR, short tau inversion recovery
- SV, stroke volume
- T2WI, T2-weighted imaging
- TE, echo time
- TR, repetition time
- cardiac involvement
- cardiac magnetic resonance imaging
- coronavirus disease-2019
- hs-cTnI, high-sensitive cardiac troponin I
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MESH Headings
- Adult
- COVID-19
- China
- Coronavirus Infections/complications
- Coronavirus Infections/diagnosis
- Coronavirus Infections/therapy
- Edema, Cardiac/diagnostic imaging
- Edema, Cardiac/etiology
- Edema, Cardiac/pathology
- Female
- Fibrosis
- Humans
- Magnetic Resonance Imaging, Cine
- Male
- Middle Aged
- Myocardium/pathology
- Pandemics
- Pneumonia, Viral/complications
- Pneumonia, Viral/diagnosis
- Pneumonia, Viral/therapy
- Predictive Value of Tests
- Remission Induction
- Retrospective Studies
- Ventricular Dysfunction, Right/diagnostic imaging
- Ventricular Dysfunction, Right/etiology
- Ventricular Dysfunction, Right/physiopathology
- Ventricular Function, Right
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Affiliation(s)
- Lu Huang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peijun Zhao
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dazhong Tang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tong Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rui Han
- Department of Radiology, Wuhan No.1 Hospital, Wuhan, China
| | - Chenao Zhan
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weiyong Liu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hesong Zeng
- Department of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Qian Tao
- Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
| | - Liming Xia
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Chen S, Huang L, Zhang Q, Wang J, Chen Y. T2-weighted cardiac magnetic resonance image and myocardial biomarker in hypertrophic cardiomyopathy. Medicine (Baltimore) 2020; 99:e20134. [PMID: 32501969 PMCID: PMC7306317 DOI: 10.1097/md.0000000000020134] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
The phenomenon of high signal intensity on T2-weighted imaging of cardiac magnetic resonance in hypertrophic cardiomyopathy (HCM) has been previously studied. However, the underlying histopathologic mechanism remains unclear. Elevated cardiac troponin can be detected in some HCM patients. A reasonable hypothesis is that high myocardial T2 signal is a potential marker of myocardial injury in HCM. We sought to investigate the association between cardiac troponin and the extent of high T2 signals in HCM patients.Forty-four HCM patients underwent 3.0T cardiac magnetic resonance scanning. On T2-weighted images, the number of segments with high-signal intensity (myocardium-to-skeletal muscle signal intensity ratio >2) and the percentage of high-signal area (>2 standard deviation above the remote tissue) were measured in 16 myocardial segments along the LV mid-myocardial circumference on 3 short-axis images. The level of high-sensitivity cardiac troponin T (hs-cTnT) was also assessed.Myocardial high T2 signals were identified in 33 (75%) patients and 144 (20.5%) segments. Elevated hs-cTnT was observed in 28 (63.6%) patients. The Cochran-Armitage test showed a statistically significant trend of increasing levels of hs-cTnT with elevated number of segments with myocardial high T2 signal (P = .002). Further, the percentage of myocardium with high T2 signal was significantly associated with the hs-cTnT level (Pearson correlation: r = 0.388, P = .009).Myocardium with high T2 signals was very common in patients with HCM.Its extent is related with the level of plasma hs-cTnT.
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Affiliation(s)
- Shi Chen
- Department of Cardiology, West China Hospital, Sichuan University
| | - Liwei Huang
- Department of Cardiovascular Ultrasound and Noninvasive Cardiology, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, Sichuan, China
| | - Qing Zhang
- Department of Cardiology, West China Hospital, Sichuan University
| | - Jie Wang
- Department of Cardiology, West China Hospital, Sichuan University
| | - Yucheng Chen
- Department of Cardiology, West China Hospital, Sichuan University
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Amano Y, Omori Y, Ando C, Yanagisawa F, Suzuki Y, Tang X, Kobayashi H, Takagi R, Matsumoto N. Clinical Importance of Myocardial T 2 Mapping and Texture Analysis. Magn Reson Med Sci 2020; 20:139-151. [PMID: 32389929 PMCID: PMC8203483 DOI: 10.2463/mrms.rev.2020-0007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Late gadolinium enhancement (LGE) magnetic resonance imaging (MRI) is valuable for diagnosis and assessment of the severity of various myocardial diseases owing to its potential to visualize myocardial scars. T1 mapping is complementary to LGE because it can quantify the degree of myocardial fibrosis or edema. As such, T1-weighted imaging techniques, including LGE using an inversion recovery sequence, contribute to cardiac MRI. T2-weighted imaging is widely used to characterize the tissue of many organs. T2-weighted imaging is used in cardiac MRI to identify myocardial edema related to chest pain, acute myocardial diseases, or severe myocardial injuries. However, it is difficult to determine the presence and extent of myocardial edema because of the low contrast between normal and diseased myocardium and image artifacts of T2-weighted images and the lack of an established method to quantify the images. T2 mapping quantifies myocardial T2 values and help identify myocardial edema. The T2 values are significantly related to the clinical symptoms or severity of nonischemic cardiomyopathy. Texture analysis is a postprocessing method to quantify tissue alterations that are reflected in the T2-weighted images. Texture analysis provides a variety of parameters, such as skewness, entropy, and grey-scale non-uniformity, without the need for additional sequences. The abnormal signal intensity on T2-weighted images or T2 values may correspond to not only myocardial edema but also other tissue alterations. In this review, the techniques of cardiac T2 mapping and texture analysis and their clinical relevance are described.
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Affiliation(s)
- Yasuo Amano
- Department of Radiology, Nihon University Hospital
| | - Yuko Omori
- Department of Radiology, Nihon University Hospital
| | - Chisato Ando
- Division of Radiological Technology, Nihon University Hospital
| | | | | | - Xiaoyan Tang
- Department of Pathology, Nihon University Hospital
| | | | - Ryo Takagi
- Department of Radiology, Nihon University Hospital
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11
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Cramer GE, Gommans DHF, Dieker HJ, Michels M, Verheugt F, de Boer MJ, Bakker J, Fouraux MA, Timmermans J, Kofflard M, Brouwer M. Exercise and myocardial injury in hypertrophic cardiomyopathy. Heart 2020; 106:1169-1175. [PMID: 32001622 PMCID: PMC7398456 DOI: 10.1136/heartjnl-2019-315818] [Citation(s) in RCA: 13] [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: 08/13/2019] [Revised: 12/09/2019] [Accepted: 12/19/2019] [Indexed: 12/12/2022] Open
Abstract
Objective Troponin and high signal intensity on T2-weighted (HighT2) cardiovascular magnetic resonance imaging (CMRi) are both markers of myocardial injury in hypertrophic cardiomyopathy (HCM). The interplay between exercise and disease development remains uncertain in HCM. We sought to assess the occurrence of postexercise troponin rises and its determinants. Methods Multicentre project on patients with HCM and mutation carriers without hypertrophy (controls). Participants performed a symptom limited bicycle test with hs-cTnT assessment pre-exercise and 6 hours postexercise. Pre-exercise CMRi was performed in patients with HCM to assess measures of hypertrophy and myocardial injury. Depending on baseline troponin (< or >13 ng/L), a rise was defined as a >50% or >20% increase, respectively. Results Troponin rises occurred in 18% (23/127) of patients with HCM and 4% (2/53) in mutation carriers (p=0.01). Comparing patients with HCM with and without a postexercise troponin rise, maximum heart rates (157±19 vs 143±23, p=0.004) and maximal wall thickness (20 mm vs 17 mm, p=0.023) were higher in the former, as was the presence of late gadolinium enhancement (85% vs 57%, p=0.02). HighT2 was seen in 65% (13/20) and 19% (15/79), respectively (p<0.001). HighT2 was the only independent predictor of troponin rise (adjusted odds ratio 7.9; 95% CI 2.7 to 23.3; p<0.001). Conclusions Postexercise troponin rises were seen in about 20% of patients with HCM, almost five times more frequent than in mutation carriers. HighT2 on CMRi may identify a group of particularly vulnerable patients, supporting the concept that HighT2 reflects an active disease state, prone to additional injury after a short episode of high oxygen demand.
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Affiliation(s)
| | | | | | - Michelle Michels
- Cardiology, Thoraxcenter, Erasmus MC, Rotterdam, Zuid-Holland, The Netherlands
| | - Freek Verheugt
- Cardiology, Radboudumc, Nijmegen, Gelderland, The Netherlands
| | | | - Jeannette Bakker
- Radiology, Albert Schweitzer Ziekenhuis, Dordrecht, Zuid-Holland, The Netherlands
| | - Michael A Fouraux
- Clinical Chemistry, Albert Schweitzer Ziekenhuis, Dordrecht, Zuid-Holland, The Netherlands
| | | | - Marcel Kofflard
- Cardiology, Albert Schweitzer Hospital, Dordrecht, Zuid-Holland, The Netherlands
| | - Marc Brouwer
- Cardiology, Radboudumc, Nijmegen, Gelderland, The Netherlands
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12
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Amano Y, Kitamura M, Takano H, Yanagisawa F, Tachi M, Suzuki Y, Kumita S, Takayama M. Cardiac MR Imaging of Hypertrophic Cardiomyopathy: Techniques, Findings, and Clinical Relevance. Magn Reson Med Sci 2018; 17:120-131. [PMID: 29343659 PMCID: PMC5891337 DOI: 10.2463/mrms.rev.2017-0145] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Hypertrophic cardiomyopathy (HCM) is a relatively common myocardial genetic disease having a wide variety of symptoms and prognoses. The most serious complications of HCM are sudden cardiac death induced by ventricular arrhythmia or inappropriate changes in blood pressure, and heart failure. Cardiac MR imaging is a valuable imaging method for detecting HCM because of its accurate measurement of wall thickness and myocardial mass without limited view and the unique ability of late gadolinium enhancement (LGE) to identify myocardial fibrosis related to the prognosis of HCM. Tagging and T1 or T2 mapping MR imaging techniques have emerged as quantitative methods for the evaluation of disease severity. In this review, we introduce the MR imaging techniques applied to HCM and demonstrate the typical phenotypes and some morphological characteristics of HCM. In addition, we discuss the clinical relevance of MR imaging for risk stratification and management of HCM.
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Affiliation(s)
- Yasuo Amano
- Department of Radiology, Nihon University Hospital
| | | | | | - Fumi Yanagisawa
- Department of Radiology, Nihon University Hospital.,Department of Radiology, Nippon Medical School
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13
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Gommans DHF, Cramer GE, Bakker J, Dieker HJ, Michels M, Fouraux MA, Marcelis CLM, Verheugt FWA, Timmermans J, Brouwer MA, Kofflard MJM. High T2-weighted signal intensity for risk prediction of sudden cardiac death in hypertrophic cardiomyopathy. Int J Cardiovasc Imaging 2018; 34:113-120. [PMID: 29063221 PMCID: PMC5797557 DOI: 10.1007/s10554-017-1252-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Accepted: 09/29/2017] [Indexed: 01/20/2023]
Abstract
In search of improved risk stratification in hypertrophic cardiomyopathy (HCM), CMR imaging has been implicated as a potential tool for prediction of sudden cardiac death (SCD). In follow-up of the promising results with extensive late gadolinium enhancement (LGE), high signal-intensity on T2-weighted imaging (HighT2) has become subject of interest given its association with markers of adverse disease progression, such as LGE, elevated troponin and non-sustained ventricular tachycardia. In lack of follow-up cohorts, we initiated an exploratory study on the association between HighT2 and the internationally defined risk categories of SCD. In a cohort of 109 HCM patients from a multicenter study on CMR imaging and biomarkers, we estimated the 5-year SCD risk (HCM Risk-SCD model). Patients were categorized as low (< 4%), intermediate (≥ 4-<6%) or high (≥ 6%) risk. In addition, risk categorization according to the ACC/AHA guidelines was performed. HighT2 was present in 27% (29/109). Patients with HighT2 were more often at an intermediate-high risk of SCD according to the European (28 vs. 10%, p = .032) and American guidelines (41 vs. 18%, p = .010) compared to those without HighT2. The estimated 5-year SCD risk of our cohort was 1.9% (IQR 1.3-2.9%), and projected SCD rates were higher in patients with than without HighT2 (2.8 vs. 1.8%, p = .002). In conclusion, HCM patients with HighT2 were more likely to be intermediate-high risk, with projected SCD rates that were 1.5 fold higher than in patients without HighT2. These pilot findings call for corroborative studies with more intermediate-high risk HCM patients and clinical follow-up to assess whether HighT2 may have additional value to current risk stratification.
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Affiliation(s)
- D H Frank Gommans
- Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands.
- Department of Cardiology 616, Radboud University Medical Center, Geert Grooteplein 10, P.O. Box 9101, 6525 GA, Nijmegen, The Netherlands.
| | - G Etienne Cramer
- Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jeannette Bakker
- Department of Radiology, Albert Schweitzer Hospital, Dordrecht, The Netherlands
| | - Hendrik-Jan Dieker
- Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Michelle Michels
- Department of Cardiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Michael A Fouraux
- Department of Clinical Chemistry, Albert Schweitzer Hospital, Dordrecht, The Netherlands
| | - Carlo L M Marcelis
- Department of Clinical Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Freek W A Verheugt
- Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Janneke Timmermans
- Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marc A Brouwer
- Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marcel J M Kofflard
- Department of Cardiology, Albert Schweitzer Hospital, Dordrecht, The Netherlands
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14
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Hen Y, Takara A, Iguchi N, Utanohara Y, Teraoka K, Takada K, Machida H, Takamisawa I, Takayama M, Yoshikawa T. High Signal Intensity on T2-Weighted Cardiovascular Magnetic Resonance Imaging Predicts Life-Threatening Arrhythmic Events in Hypertrophic Cardiomyopathy Patients. Circ J 2018; 82:1062-1069. [DOI: 10.1253/circj.cj-17-1235] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Yasuki Hen
- Department of Cardiology, Sakakibara Heart Institute
| | - Ayako Takara
- Department of Cardiology, Sakakibara Heart Institute
| | - Nobuo Iguchi
- Department of Cardiology, Sakakibara Heart Institute
| | | | | | - Kaori Takada
- Department of Radiology, Sakakibara Heart Institute
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15
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Abstract
OBJECTIVE The aim of this study was to evaluate the usefulness of T2 mapping for detecting myocardial injuries in patients with hypertrophic cardiomyopathy (HCM). METHODS Twenty-one HCM patients and 7 healthy volunteers were examined. The T2 values were measured at hyperintense areas (high-T2 areas) identified with T2 mapping, at late gadolinium enhancement (LGE) areas, and in nullified myocardium of the HCM patients. The associations between T2 values and laboratory data or LGE areas were assessed. RESULTS High-T2 areas had significantly greater T2 values than LGE areas (P < 0.05) and nullified areas (P < 0.01) of HCM and normal myocardium (P < 0.01). The presence of high-T2 areas was associated with an increase in troponin T levels (P = 0.02), and T2 values correlated with the levels of brain natriuretic peptide (P = 0.036, r = 0.86). CONCLUSIONS T2 mapping identified myocardial injuries suggested by the laboratory data in HCM.
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16
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Fibrosis quantification in Hypertensive Heart Disease with LVH and Non-LVH: Findings from T1 mapping and Contrast-free Cardiac Diffusion-weighted imaging. Sci Rep 2017; 7:559. [PMID: 28373647 PMCID: PMC5428770 DOI: 10.1038/s41598-017-00627-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Accepted: 03/08/2017] [Indexed: 01/19/2023] Open
Abstract
This study assessed the extent of fibrosis and the relationship between the ADC value and systolic strain in hypertensive patients with left ventricular hypertrophy (HTN LVH) and hypertensive patients without LVH (HTN non-LVH) using cardiac diffusion-weighted imaging and T1 mapping. T1 mapping was performed in 13 HTN LVH (mean age, 56.23 ± 3.30 years), 17 HTN non-LVH (mean age, 56.41 ± 2.78 years), and 12 normal control subjects (mean age, 55.67 ± 3.08 years) with 3.0 T MRI using cardiac diffusion-weighted imaging and T1 mapping. HTN LVH subjects had higher native T1 (1233.12 ± 79.01) compared with controls (1133.88 ± 27.40) (p < 0.05). HTN LVH subjects had higher ECV (0.28 ± 0.03) compared with HTN non-LVH subjects (0.26 ± 0.02) or controls (0.24 ± 0.03) (p < 0.05). HTN LVH subjects had higher ADC (2.23 ± 0.34) compared with HTN non-LVH subjects (1.88 ± 0.27) or controls (1.61 ± 0.38), (p < 0.05). Positive associations were noted between LVMI and ADC (Spearman = 0.450, p < 0.05) and between LVMI and ECV (Spearman = 0.181, p < 0.05). ADC was also related to an increase in ECV (R2 = 0.210). Increased levels of ADC were associated with reduced peak systolic and early diastolic circumferential strain rates across all subjects. Contrast-free DW-CMR is an alternative sequence to ECV for the evaluation of fibrosis extent in HTN LVH and HTN non-LVH, while native T1 has limited value.
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17
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Latus H, Voges I. Quantitative Tissue Characterization in Pediatric Cardiology. CURRENT CARDIOVASCULAR IMAGING REPORTS 2017. [DOI: 10.1007/s12410-017-9405-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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18
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Gommans DF, Cramer GE, Bakker J, Michels M, Dieker HJ, Timmermans J, Fouraux MA, Marcelis CL, Verheugt FW, Brouwer MA, Kofflard MJ. High T2-weighted signal intensity is associated with elevated troponin T in hypertrophic cardiomyopathy. Heart 2016; 103:293-299. [PMID: 27506680 DOI: 10.1136/heartjnl-2016-309900] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2016] [Accepted: 07/21/2016] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVE Areas of high signal intensity (HighT2) on T2-weighted cardiovascular magnetic resonance (CMR) imaging have been demonstrated in hypertrophic cardiomyopathy (HCM). It has been hypothesised that HighT2 may indicate active tissue injury in HCM. In this context, we studied HighT2 in relation to cardiac troponin. METHODS Outpatient HCM patients without a history of coronary artery disease underwent CMR imaging at 1.5 T using T2-weighted, cine and late gadolinium enhancement (LGE) imaging to assess HighT2, left ventricular (LV) function, LV mass and the presence and extent of LGE. Highly sensitive cardiac troponin T (hs-cTnT) was assessed as a marker of injury, with hs-cTnT ≥14 and >3 ng/L defined as an elevated and detectable troponin. RESULTS HighT2 was present in 28% of patients (28/101). An elevated hs-cTnT was present in 54% of patients with HighT2 (15/28) compared with 14% of patients without HighT2 (10/73) (p<0.001). Hs-cTnT was detectable in 96% of patients with HighT2 (27/28) compared with 66% of patients without HighT2 (48/73) (p=0.002). In case of an undetectable hs-cTnT, HighT2 was only seen in 4% (1/26). In addition, the extent of HighT2 was related with increasing hs-cTnT concentrations (Spearman's ρ: 0.42, p<0.001). CONCLUSIONS In this CMR study of patients with HCM, we observed HighT2 in a quarter of patients, and demonstrated that HighT2 was associated with an elevated hs-cTnT. This observation, combined with the very high negative predictive value of an undetectable hs-cTnT for HighT2, provides supportive evidence for the hypothesis that HighT2 is indicative of recently sustained myocyte injury.
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Affiliation(s)
- Dh Frank Gommans
- Department of Cardiology, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - G Etienne Cramer
- Department of Cardiology, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Jeannette Bakker
- Department of Radiology, Albert Schweitzer Hospital, Dordrecht, The Netherlands
| | - Michelle Michels
- Department of Cardiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Hendrik-Jan Dieker
- Department of Cardiology, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Janneke Timmermans
- Department of Cardiology, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Michael A Fouraux
- Department of Clinical Chemistry, Albert Schweitzer Hospital, Dordrecht, The Netherlands
| | - Carlo Lm Marcelis
- Department of Clinical Genetics, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Freek Wa Verheugt
- Department of Cardiology, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Marc A Brouwer
- Department of Cardiology, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Marcel Jm Kofflard
- Department of Cardiology, Albert Schweitzer Hospital, Dordrecht, The Netherlands
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