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Vanmali A, Alhumaid W, White JA. Cardiovascular Magnetic Resonance-Based Tissue Characterization in Patients With Hypertrophic Cardiomyopathy. Can J Cardiol 2024; 40:887-898. [PMID: 38490449 DOI: 10.1016/j.cjca.2024.02.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 02/12/2024] [Accepted: 02/18/2024] [Indexed: 03/17/2024] Open
Abstract
Hypertrophic cardiomyopathy (HCM) is a common hereditable cardiomyopathy that affects between 1:200 to 1:500 of the general population. The role of cardiovascular magnetic resonance (CMR) imaging in the management of HCM has expanded over the past 2 decades to become a key informant of risk in this patient population, delivering unique insights into tissue health and its influence on future outcomes. Numerous mature CMR-based techniques are clinically available for the interrogation of tissue health in patients with HCM, inclusive of contrast and noncontrast methods. Late gadolinium enhancement imaging remains a cornerstone technique for the identification and quantification of myocardial fibrosis with large cumulative evidence supporting value for the prediction of arrhythmic outcomes. T1 mapping delivers improved fidelity for fibrosis quantification through direct estimations of extracellular volume fraction but also offers potential for noncontrast surrogate assessments of tissue health. Water-sensitive imaging, inclusive of T2-weighted dark blood imaging and T2 mapping, have also shown preliminary potential for assisting in risk discrimination. Finally, emerging techniques, inclusive of innovative multiparametric methods, are expanding the utility of CMR to assist in the delivery of comprehensive tissue characterization toward the delivery of personalized HCM care. In this narrative review we summarize the contemporary landscape of CMR techniques aimed at characterizing tissue health in patients with HCM. The value of these respective techniques to identify patients at elevated risk of future cardiovascular outcomes are highlighted.
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Affiliation(s)
- Atish Vanmali
- Stephenson Cardiac Imaging Centre, University of Calgary, Calgary, Alberta, Canada; Department of Diagnostic Imaging, University of Calgary, Calgary, Alberta, Canada; Libin Cardiovascular Institute of Alberta, Calgary, Alberta, Canada; Department of Cardiac Science, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Waleed Alhumaid
- Stephenson Cardiac Imaging Centre, University of Calgary, Calgary, Alberta, Canada; Libin Cardiovascular Institute of Alberta, Calgary, Alberta, Canada; Department of Cardiac Science, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Division of Cardiology, Department of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, Calgary, Alberta, Canada
| | - James A White
- Stephenson Cardiac Imaging Centre, University of Calgary, Calgary, Alberta, Canada; Department of Diagnostic Imaging, University of Calgary, Calgary, Alberta, Canada; Libin Cardiovascular Institute of Alberta, Calgary, Alberta, Canada; Department of Cardiac Science, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Division of Cardiology, Department of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, Calgary, Alberta, Canada.
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2
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Forleo C, Carella MC, Basile P, Mandunzio D, Greco G, Napoli G, Carulli E, Dicorato MM, Dentamaro I, Santobuono VE, Memeo R, Latorre MD, Baggiano A, Mushtaq S, Ciccone MM, Pontone G, Guaricci AI. The Role of Magnetic Resonance Imaging in Cardiomyopathies in the Light of New Guidelines: A Focus on Tissue Mapping. J Clin Med 2024; 13:2621. [PMID: 38731153 PMCID: PMC11084160 DOI: 10.3390/jcm13092621] [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: 03/15/2024] [Revised: 04/27/2024] [Accepted: 04/28/2024] [Indexed: 05/13/2024] Open
Abstract
Cardiomyopathies (CMPs) are a group of myocardial disorders that are characterized by structural and functional abnormalities of the heart muscle. These abnormalities occur in the absence of coronary artery disease (CAD), hypertension, valvular disease, and congenital heart disease. CMPs are an increasingly important topic in the field of cardiovascular diseases due to the complexity of their diagnosis and management. In 2023, the ESC guidelines on cardiomyopathies were first published, marking significant progress in the field. The growth of techniques such as cardiac magnetic resonance imaging (CMR) and genetics has been fueled by the development of multimodal imaging approaches. For the diagnosis of CMPs, a multimodal imaging approach, including CMR, is recommended. CMR has become the standard for non-invasive analysis of cardiac morphology and myocardial function. This document provides an overview of the role of CMR in CMPs, with a focus on tissue mapping. CMR enables the characterization of myocardial tissues and the assessment of cardiac functions. CMR sequences and techniques, such as late gadolinium enhancement (LGE) and parametric mapping, provide detailed information on tissue composition, fibrosis, edema, and myocardial perfusion. These techniques offer valuable insights for early diagnosis, prognostic evaluation, and therapeutic guidance of CMPs. The use of quantitative CMR markers enables personalized treatment plans, improving overall patient outcomes. This review aims to serve as a guide for the use of these new tools in clinical practice.
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Affiliation(s)
- Cinzia Forleo
- University Cardiologic Unit, Interdisciplinary Department of Medicine, Polyclinic University Hospital, 70124 Bari, Italy; (C.F.); (M.C.C.); (P.B.); (D.M.); (G.G.); (G.N.); (E.C.); (M.M.D.); (I.D.); (V.E.S.); (R.M.); (M.D.L.); (M.M.C.)
| | - Maria Cristina Carella
- University Cardiologic Unit, Interdisciplinary Department of Medicine, Polyclinic University Hospital, 70124 Bari, Italy; (C.F.); (M.C.C.); (P.B.); (D.M.); (G.G.); (G.N.); (E.C.); (M.M.D.); (I.D.); (V.E.S.); (R.M.); (M.D.L.); (M.M.C.)
| | - Paolo Basile
- University Cardiologic Unit, Interdisciplinary Department of Medicine, Polyclinic University Hospital, 70124 Bari, Italy; (C.F.); (M.C.C.); (P.B.); (D.M.); (G.G.); (G.N.); (E.C.); (M.M.D.); (I.D.); (V.E.S.); (R.M.); (M.D.L.); (M.M.C.)
| | - Donato Mandunzio
- University Cardiologic Unit, Interdisciplinary Department of Medicine, Polyclinic University Hospital, 70124 Bari, Italy; (C.F.); (M.C.C.); (P.B.); (D.M.); (G.G.); (G.N.); (E.C.); (M.M.D.); (I.D.); (V.E.S.); (R.M.); (M.D.L.); (M.M.C.)
| | - Giulia Greco
- University Cardiologic Unit, Interdisciplinary Department of Medicine, Polyclinic University Hospital, 70124 Bari, Italy; (C.F.); (M.C.C.); (P.B.); (D.M.); (G.G.); (G.N.); (E.C.); (M.M.D.); (I.D.); (V.E.S.); (R.M.); (M.D.L.); (M.M.C.)
| | - Gianluigi Napoli
- University Cardiologic Unit, Interdisciplinary Department of Medicine, Polyclinic University Hospital, 70124 Bari, Italy; (C.F.); (M.C.C.); (P.B.); (D.M.); (G.G.); (G.N.); (E.C.); (M.M.D.); (I.D.); (V.E.S.); (R.M.); (M.D.L.); (M.M.C.)
| | - Eugenio Carulli
- University Cardiologic Unit, Interdisciplinary Department of Medicine, Polyclinic University Hospital, 70124 Bari, Italy; (C.F.); (M.C.C.); (P.B.); (D.M.); (G.G.); (G.N.); (E.C.); (M.M.D.); (I.D.); (V.E.S.); (R.M.); (M.D.L.); (M.M.C.)
| | - Marco Maria Dicorato
- University Cardiologic Unit, Interdisciplinary Department of Medicine, Polyclinic University Hospital, 70124 Bari, Italy; (C.F.); (M.C.C.); (P.B.); (D.M.); (G.G.); (G.N.); (E.C.); (M.M.D.); (I.D.); (V.E.S.); (R.M.); (M.D.L.); (M.M.C.)
| | - Ilaria Dentamaro
- University Cardiologic Unit, Interdisciplinary Department of Medicine, Polyclinic University Hospital, 70124 Bari, Italy; (C.F.); (M.C.C.); (P.B.); (D.M.); (G.G.); (G.N.); (E.C.); (M.M.D.); (I.D.); (V.E.S.); (R.M.); (M.D.L.); (M.M.C.)
| | - Vincenzo Ezio Santobuono
- University Cardiologic Unit, Interdisciplinary Department of Medicine, Polyclinic University Hospital, 70124 Bari, Italy; (C.F.); (M.C.C.); (P.B.); (D.M.); (G.G.); (G.N.); (E.C.); (M.M.D.); (I.D.); (V.E.S.); (R.M.); (M.D.L.); (M.M.C.)
| | - Riccardo Memeo
- University Cardiologic Unit, Interdisciplinary Department of Medicine, Polyclinic University Hospital, 70124 Bari, Italy; (C.F.); (M.C.C.); (P.B.); (D.M.); (G.G.); (G.N.); (E.C.); (M.M.D.); (I.D.); (V.E.S.); (R.M.); (M.D.L.); (M.M.C.)
| | - Michele Davide Latorre
- University Cardiologic Unit, Interdisciplinary Department of Medicine, Polyclinic University Hospital, 70124 Bari, Italy; (C.F.); (M.C.C.); (P.B.); (D.M.); (G.G.); (G.N.); (E.C.); (M.M.D.); (I.D.); (V.E.S.); (R.M.); (M.D.L.); (M.M.C.)
| | - Andrea Baggiano
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy; (A.B.); (S.M.); (G.P.)
| | - Saima Mushtaq
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy; (A.B.); (S.M.); (G.P.)
| | - Marco Matteo Ciccone
- University Cardiologic Unit, Interdisciplinary Department of Medicine, Polyclinic University Hospital, 70124 Bari, Italy; (C.F.); (M.C.C.); (P.B.); (D.M.); (G.G.); (G.N.); (E.C.); (M.M.D.); (I.D.); (V.E.S.); (R.M.); (M.D.L.); (M.M.C.)
| | - Gianluca Pontone
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy; (A.B.); (S.M.); (G.P.)
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20138 Milan, Italy
| | - Andrea Igoren Guaricci
- University Cardiologic Unit, Interdisciplinary Department of Medicine, Polyclinic University Hospital, 70124 Bari, Italy; (C.F.); (M.C.C.); (P.B.); (D.M.); (G.G.); (G.N.); (E.C.); (M.M.D.); (I.D.); (V.E.S.); (R.M.); (M.D.L.); (M.M.C.)
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Gröschel J, Kuhnt J, Viezzer D, Hadler T, Hormes S, Barckow P, Schulz-Menger J, Blaszczyk E. Comparison of manual and artificial intelligence based quantification of myocardial strain by feature tracking-a cardiovascular MR study in health and disease. Eur Radiol 2024; 34:1003-1015. [PMID: 37594523 PMCID: PMC10853310 DOI: 10.1007/s00330-023-10127-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 06/27/2023] [Accepted: 07/04/2023] [Indexed: 08/19/2023]
Abstract
OBJECTIVES The analysis of myocardial deformation using feature tracking in cardiovascular MR allows for the assessment of global and segmental strain values. The aim of this study was to compare strain values derived from artificial intelligence (AI)-based contours with manually derived strain values in healthy volunteers and patients with cardiac pathologies. MATERIALS AND METHODS A cohort of 136 subjects (60 healthy volunteers and 76 patients; of those including 46 cases with left ventricular hypertrophy (LVH) of varying etiology and 30 cases with chronic myocardial infarction) was analyzed. Comparisons were based on quantitative strain analysis and on a geometric level by the Dice similarity coefficient (DSC) of the segmentations. Strain quantification was performed in 3 long-axis slices and short-axis (SAX) stack with epi- and endocardial contours in end-diastole. AI contours were checked for plausibility and potential errors in the tracking algorithm. RESULTS AI-derived strain values overestimated radial strain (+ 1.8 ± 1.7% (mean difference ± standard deviation); p = 0.03) and underestimated circumferential (- 0.8 ± 0.8%; p = 0.02) and longitudinal strain (- 0.1 ± 0.8%; p = 0.54). Pairwise group comparisons revealed no significant differences for global strain. The DSC showed good agreement for healthy volunteers (85.3 ± 10.3% for SAX) and patients (80.8 ± 9.6% for SAX). In 27 cases (27/76; 35.5%), a tracking error was found, predominantly (24/27; 88.9%) in the LVH group and 22 of those (22/27; 81.5%) at the insertion of the papillary muscle in lateral segments. CONCLUSIONS Strain analysis based on AI-segmented images shows good results in healthy volunteers and in most of the patient groups. Hypertrophied ventricles remain a challenge for contouring and feature tracking. CLINICAL RELEVANCE STATEMENT AI-based segmentations can help to streamline and standardize strain analysis by feature tracking. KEY POINTS • Assessment of strain in cardiovascular magnetic resonance by feature tracking can generate global and segmental strain values. • Commercially available artificial intelligence algorithms provide segmentation for strain analysis comparable to manual segmentation. • Hypertrophied ventricles are challenging in regards of strain analysis by feature tracking.
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Affiliation(s)
- Jan Gröschel
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
- Working Group On Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine and HELIOS Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.
| | - Johanna Kuhnt
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
- Working Group On Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine and HELIOS Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Darian Viezzer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
- Working Group On Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine and HELIOS Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Thomas Hadler
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
- Working Group On Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine and HELIOS Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Sophie Hormes
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
- Working Group On Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine and HELIOS Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany
| | | | - Jeanette Schulz-Menger
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
- Working Group On Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine and HELIOS Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Edyta Blaszczyk
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
- Working Group On Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine and HELIOS Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.
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Carrabba N, Amico MA, Guaricci AI, Carella MC, Maestrini V, Monosilio S, Pedrotti P, Ricci F, Monti L, Figliozzi S, Torlasco C, Barison A, Baggiano A, Scatteia A, Pontone G, Dellegrottaglie S. CMR Mapping: The 4th-Era Revolution in Cardiac Imaging. J Clin Med 2024; 13:337. [PMID: 38256470 PMCID: PMC10816333 DOI: 10.3390/jcm13020337] [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: 11/28/2023] [Revised: 01/04/2024] [Accepted: 01/05/2024] [Indexed: 01/24/2024] Open
Abstract
Cardiac magnetic resonance (CMR) imaging has witnessed substantial progress with the advent of parametric mapping techniques, most notably T1 and T2 mapping. These advanced techniques provide valuable insights into a wide range of cardiac conditions, including ischemic heart disease, cardiomyopathies, inflammatory cardiomyopathies, heart valve disease, and athlete's heart. Mapping could be the first sign of myocardial injury and oftentimes precedes symptoms, changes in ejection fraction, and irreversible myocardial remodeling. The ability of parametric mapping to offer a quantitative assessment of myocardial tissue properties addresses the limitations of conventional CMR methods, which often rely on qualitative or semiquantitative data. However, challenges persist, especially in terms of standardization and reference value establishment, hindering the wider clinical adoption of parametric mapping. Future developments should prioritize the standardization of techniques to enhance their clinical applicability, ultimately optimizing patient care pathways and outcomes. In this review, we endeavor to provide insights into the potential contributions of CMR mapping techniques in enhancing the diagnostic processes across a range of cardiac conditions.
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Affiliation(s)
- Nazario Carrabba
- Cardio-Thoraco-Vascular Department, Careggi Hospital, 50134 Florence, Italy;
| | - Mattia Alexis Amico
- Cardio-Thoraco-Vascular Department, Careggi Hospital, 50134 Florence, Italy;
| | - Andrea Igoren Guaricci
- University Cardiology Unit, Interdisciplinary Department of Medicine, University of Bari Aldo Moro, 70121 Bari, Italy
| | - Maria Cristina Carella
- University Cardiology Unit, Interdisciplinary Department of Medicine, University of Bari Aldo Moro, 70121 Bari, Italy
| | - Viviana Maestrini
- Department of Clinical, Anestesiological and Cardiovascular Science, Sapienza University of Rome, 00185 Rome, Italy (S.M.)
- Institute of Sports Medicine and Science of Rome, Comitato Olimpico Nazionale Italiano (CONI), 00197 Rome, Italy
| | - Sara Monosilio
- Department of Clinical, Anestesiological and Cardiovascular Science, Sapienza University of Rome, 00185 Rome, Italy (S.M.)
- Institute of Sports Medicine and Science of Rome, Comitato Olimpico Nazionale Italiano (CONI), 00197 Rome, Italy
| | - Patrizia Pedrotti
- S.S. Cardiologia Diagnostica per Immagini—RM Cardiaca; S.C. Cardiologia 4 Diagnostica-Riabilitativa Dipartimento CardioToracoVascolare “De Gasperis”, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milano, Italy
| | - Fabrizio Ricci
- Department of Neuroscience, Imaging and Clinical Sciences, G. d’Annunzio University of Chieti-Pescara, 66100 Chieti, Italy
| | - Lorenzo Monti
- IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy; (L.M.)
| | - Stefano Figliozzi
- IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy; (L.M.)
| | - Camilla Torlasco
- Department of Cardiovascular, Neural and Metabolic Sciences, IRCCS Istituto Auxologico Italiano, 20165 Milan, Italy;
| | - Andrea Barison
- Fondazione Toscana Gabriele Monasterio, 56127 Pisa, Italy
| | - Andrea Baggiano
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (A.B.); (G.P.)
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20133 Milan, Italy
| | - Alessandra Scatteia
- Cardiovascular MRI Laboratory, Unit of Advanced Cardiovascular Imaging, Ospedale Medico-Chirurgico Accreditato Villa dei Fiori, 80011 Acerra, Italy
| | - Gianluca Pontone
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (A.B.); (G.P.)
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20133 Milan, Italy
| | - Santo Dellegrottaglie
- Cardiovascular MRI Laboratory, Unit of Advanced Cardiovascular Imaging, Ospedale Medico-Chirurgico Accreditato Villa dei Fiori, 80011 Acerra, Italy
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Maceira AM, Monmeneu JV, López MP, García MP, Higueras L, Masiá MD, Boraita A. Reference ventricular dimensions and function parameters by cardiovascular magnetic resonance in highly trained Caucasian athletes. J Cardiovasc Magn Reson 2023; 25:12. [PMID: 36755302 PMCID: PMC9909951 DOI: 10.1186/s12968-023-00910-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 01/03/2023] [Indexed: 02/10/2023] Open
Abstract
BACKGROUND Data regarding cardiovascular magnetic resonance (CMR) reference values in athletes have not been well determined yet. Using CMR normal reference values derived from the general population may be misleading in athletes and may have clinical implications. AIMS To determine reference ventricular dimensions and function parameters and ratios by CMR in high performance athletes. METHODS Elite athletes and age- and gender-matched sedentary healthy controls were included. Anatomical and functional variables, including biventricular volumes, mass, systolic function, wall thickness, sphericity index and longitudinal function were determined by CMR. RESULTS A total of 148 athletes (29.2 ± 9.1 years; 64.8% men) and 124 controls (32.1 ± 10.5 years; 67.7% men) were included. Left ventricular (LV) mass excluding papillary muscles was 67 ± 13 g/m2 in the control group and increased from 65 ± 14 g/m2 in the low intensity sport category to 83 ± 16 g/m2 in the high cardiovascular demand sport category; P < 0.001. Regarding right ventricular (RV) mass, the data were 20 ± 5, 31 ± 6, and 38 ± 8 g/m2, respectively; P < 0.001. LV and RV volumes, and wall thickness were higher in athletes than in the control group, and also increased with sport category. However, LV and RV ejection fractions were similar in both groups. LV and RV dimensions, wall thickness and LV/RV ratios reference parameters for athletes are provided. CONCLUSIONS LV and RV masses, volumes, and wall thicknesses are higher in athletes than in sedentary subjects. Specific CMR reference ranges for athletes are provided and can be used as reference levels, rather than the standard upper limits used for the general population to exclude cardiomyopathy.
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Affiliation(s)
- Alicia M Maceira
- Cardiovascular Imaging Unit, Cardiology Department, Ascires Grupo Biomédico, Valencia, Spain.
| | - Jose V Monmeneu
- Cardiovascular Imaging Unit, Cardiology Department, Ascires Grupo Biomédico, Valencia, Spain
| | - M Pilar López
- Cardiovascular Imaging Unit, Cardiology Department, Ascires Grupo Biomédico, Valencia, Spain
| | - M Pilar García
- Cardiovascular Imaging Unit, Cardiology Department, Ascires Grupo Biomédico, Valencia, Spain
| | - Laura Higueras
- Cardiovascular Imaging Unit, Cardiology Department, Ascires Grupo Biomédico, Valencia, Spain
| | | | - Araceli Boraita
- Cardiology Department, Spanish Sports Health Protection Agency, Madrid, Spain
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Bakogiannis C, Mouselimis D, Tsarouchas A, Papatheodorou E, Vassilikos VP, Androulakis E. Hypertrophic cardiomyopathy or athlete's heart? A systematic review of novel cardiovascular magnetic resonance imaging parameters. Eur J Sport Sci 2023; 23:143-154. [PMID: 34720041 DOI: 10.1080/17461391.2021.2001576] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Hypertrophic cardiomyopathy (HCM) is a common cause of sudden cardiac death in athletes. Cardiac Magnetic Resonance (CMR) imaging is considered an excellent tool to differentiate between HCM and athlete's heart. The aim of this systematic review was to highlight the novel CMR-derived parameters with significant discriminative capacity between the two conditions. A systematic search in the MEDLINE, EMBASE and Cochrane Reviews databases was performed. Eligible studies were considered the ones comparing novel CMR-derived parameters on athletes and HCM patients. Therefore, studies that only examined Cine-derived volumetric parameters were excluded. Particular attention was given to binary classification results from multi-variate regression models and ROC curve analyses. Bias assessment was performed with the Quality Assessment on Diagnostic Accuracy Studies. Five (5) studies were included in the systematic review, with a total of 284 athletes and 373 HCM patients. Several novel indices displayed discriminatory potential, such as native T1 mapping and T2 values, LV global longitudinal strain, late gadolinium enhancement and whole-LV fractal dimension. Diffusion tensor imaging enabled quantification of the secondary eigenvalue angle and fractional anisotropy in one study, which also proved capable of reliably detecting HCM in a mixed athlete/patient sample. Several novel CMR-derived parameters, most of which are currently under development, show promising results in discerning between athlete's heart and HCM. Prospective studies examining the discriminatory capacity of all promising modalities side-by-side will yield definitive answers on their relative importance; diagnostic models can incorporate the best performing variables for optimal results.
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Affiliation(s)
- Constantinos Bakogiannis
- Cardiovascular Prevention and Digital Cardiology Lab, Third Department of Cardiology, Hippokration Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Dimitrios Mouselimis
- Cardiovascular Prevention and Digital Cardiology Lab, Third Department of Cardiology, Hippokration Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Anastasios Tsarouchas
- Cardiovascular Prevention and Digital Cardiology Lab, Third Department of Cardiology, Hippokration Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Vassilios P Vassilikos
- Cardiovascular Prevention and Digital Cardiology Lab, Third Department of Cardiology, Hippokration Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
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Interpretation of pre-morbid cardiac 3T MRI findings in overweight and hypertensive young adults. PLoS One 2022; 17:e0278308. [PMID: 36454872 PMCID: PMC9714856 DOI: 10.1371/journal.pone.0278308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 11/15/2022] [Indexed: 12/02/2022] Open
Abstract
In young adults, overweight and hypertension possibly already trigger cardiac remodeling as seen in mature adults, potentially overlapping non-ischemic cardiomyopathy findings. To this end, in young overweight and hypertensive adults, we aimed to investigate changes in left ventricular mass (LVM) and cardiac volumes, and the impact of different body scales for indexation. We also aimed to explore the presence of myocardial fibrosis, fat and edema, and changes in cellular mass with extracellular volume (ECV), T1 and T2 tissue characteristics. We prospectively recruited 126 asymptomatic subjects (51% male) aged 27-41 years for 3T cardiac magnetic resonance imaging: 40 controls, 40 overweight, 17 hypertensive and 29 hypertensive overweight. Myocyte mass was calculated as (100%-ECV) * height2.7-indexed LVM. Absolute LVM was significantly increased in overweight, hypertensive and hypertensive overweight groups (104 ± 23, 109 ± 27, 112 ± 26 g) versus controls (87 ± 21 g), with similar volumes. Body surface area (BSA) indexation resulted in LVM normalization in overweights (48 ± 8 g/m2) versus controls (47 ± 9 g/m2), but not in hypertensives (55 ± 9 g/m2) and hypertensive overweights (52 ± 9 g/m2). BSA-indexation overly decreased volumes in overweight versus normal-weight (LV end-diastolic volume; 80 ± 14 versus 92 ± 13 ml/m2), where height2.7-indexation did not. All risk groups had lower ECV (23 ± 2%, 23 ± 2%, 23 ± 3%) than controls (25 ± 2%) (P = 0.006, P = 0.113, P = 0.039), indicating increased myocyte mass (16.9 ± 2.7, 16.5 ± 2.3, 18.1 ± 3.5 versus 14.0 ± 2.9 g/m2.7). Native T1 values were similar. Lower T2 values in the hypertensive overweight group related to heart rate. In conclusion, BSA-indexation masks hypertrophy and causes volume overcorrection in overweight subjects compared to controls, height2.7-indexation therefore seems advisable.
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Abstract
PURPOSE OF REVIEW The athlete's heart exhibits unique structural and functional adaptations in the setting of strenuous and repetitive athletic training which may be similarly found in pathologic states. The purpose of this review is to highlight the morphologic and functional changes associated with the athlete's heart, with a focus upon the insights that echocardiography provides into exercise-induced cardiac remodeling. RECENT FINDINGS Recent studies are aiming to investigate the long-term effects and clinical consequences of an athlete's heart. The "gray-zone" continues to pose a clinical challenge and may indicate scenarios where additional imaging modalities, or longitudinal follow-up, provide a definitive answer. Echocardiography is likely to remain the first-line imaging modality for the cardiac evaluation of elite athletes. Multimodality imaging combined with outcome and long-term follow-up studies both during training and after retirement in both men and women may help further clarify the remaining mysteries in the coming years.
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Certainties and Uncertainties of Cardiac Magnetic Resonance Imaging in Athletes. J Cardiovasc Dev Dis 2022; 9:jcdd9100361. [PMID: 36286312 PMCID: PMC9604894 DOI: 10.3390/jcdd9100361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 10/06/2022] [Accepted: 10/07/2022] [Indexed: 11/16/2022] Open
Abstract
Prolonged and intensive exercise induces remodeling of all four cardiac chambers, a physiological process which is coined as the “athlete’s heart”. This cardiac adaptation, however, shows overlapping features with non-ischemic cardiomyopathies, such as dilated, arrhythmogenic and hypertrophic cardiomyopathy, also associated with athlete’s sudden cardiac death. Cardiac magnetic resonance (CMR) is a well-suited, highly reproducible imaging modality that can help differentiate athlete’s heart from cardiomyopathy. CMR allows accurate characterization of the morphology and function of cardiac chambers, providing full coverage of the ventricles. Moreover, it permits an in-depth understanding of the myocardial changes through specific techniques such as mapping or late gadolinium enhancement. In this narrative review, we will focus on the certainties and uncertainties of the role of CMR in sports cardiology. The main aspects of physiological adaptation due to regular and intensive sports activity and the application of CMR in highly trained athletes will be summarized.
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Topriceanu CC, Pierce I, Moon JC, Captur G. T 2 and T 2⁎ mapping and weighted imaging in cardiac MRI. Magn Reson Imaging 2022; 93:15-32. [PMID: 35914654 DOI: 10.1016/j.mri.2022.07.012] [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: 03/07/2022] [Revised: 07/20/2022] [Accepted: 07/20/2022] [Indexed: 11/29/2022]
Abstract
Cardiac imaging is progressing from simple imaging of heart structure and function to techniques visualizing and measuring underlying tissue biological changes that can potentially define disease and therapeutic options. These techniques exploit underlying tissue magnetic relaxation times: T1, T2 and T2*. Initial weighting methods showed myocardial heterogeneity, detecting regional disease. Current methods are now fully quantitative generating intuitive color maps that do not only expose regionality, but also diffuse changes - meaning that between-scan comparisons can be made to define disease (compared to normal) and to monitor interval change (compared to old scans). T1 is now familiar and used clinically in multiple scenarios, yet some technical challenges remain. T2 is elevated with increased tissue water - oedema. Should there also be blood troponin elevation, this oedema likely reflects inflammation, a key biological process. T2* falls in the presence of magnetic/paramagnetic materials - practically, this means it measures tissue iron, either after myocardial hemorrhage or in myocardial iron overload. This review discusses how T2 and T2⁎ imaging work (underlying physics, innovations, dependencies, performance), current and emerging use cases, quality assurance processes for global delivery and future research directions.
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Affiliation(s)
- Constantin-Cristian Topriceanu
- Cardiac MRI Unit, Barts Heart Centre, West Smithfield, London, UK; UCL Institute of Cardiovascular Science, University College London, London, UK; UCL MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Iain Pierce
- Cardiac MRI Unit, Barts Heart Centre, West Smithfield, London, UK; UCL Institute of Cardiovascular Science, University College London, London, UK
| | - James C Moon
- Cardiac MRI Unit, Barts Heart Centre, West Smithfield, London, UK; UCL Institute of Cardiovascular Science, University College London, London, UK
| | - Gabriella Captur
- Cardiac MRI Unit, Barts Heart Centre, West Smithfield, London, UK; UCL Institute of Cardiovascular Science, University College London, London, UK; UCL MRC Unit for Lifelong Health and Ageing, University College London, London, UK; The Royal Free Hospital, Centre for Inherited Heart Muscle Conditions, Cardiology Department, Pond Street, Hampstead, London, UK.
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Garcia Brás P, Aguiar Rosa S, Thomas B, Fiarresga A, Cardoso I, Pereira R, Branco G, Cruz I, Baquero L, Cruz Ferreira R, Mota Carmo M, Rocha Lopes L. Associations between perfusion defects, tissue changes and myocardial deformation in hypertrophic cardiomyopathy, uncovered by a cardiac magnetic resonance segmental analysis. Rev Port Cardiol 2022; 41:559-568. [DOI: 10.1016/j.repc.2022.03.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 03/22/2022] [Indexed: 11/28/2022] Open
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O'Brien AT, Gil KE, Varghese J, Simonetti OP, Zareba KM. T2 mapping in myocardial disease: a comprehensive review. J Cardiovasc Magn Reson 2022; 24:33. [PMID: 35659266 PMCID: PMC9167641 DOI: 10.1186/s12968-022-00866-0] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 04/27/2022] [Indexed: 12/20/2022] Open
Abstract
Cardiovascular magnetic resonance (CMR) is considered the gold standard imaging modality for myocardial tissue characterization. Elevated transverse relaxation time (T2) is specific for increased myocardial water content, increased free water, and is used as an index of myocardial edema. The strengths of quantitative T2 mapping lie in the accurate characterization of myocardial edema, and the early detection of reversible myocardial disease without the use of contrast agents or ionizing radiation. Quantitative T2 mapping overcomes the limitations of T2-weighted imaging for reliable assessment of diffuse myocardial edema and can be used to diagnose, stage, and monitor myocardial injury. Strong evidence supports the clinical use of T2 mapping in acute myocardial infarction, myocarditis, heart transplant rejection, and dilated cardiomyopathy. Accumulating data support the utility of T2 mapping for the assessment of other cardiomyopathies, rheumatologic conditions with cardiac involvement, and monitoring for cancer therapy-related cardiac injury. Importantly, elevated T2 relaxation time may be the first sign of myocardial injury in many diseases and oftentimes precedes symptoms, changes in ejection fraction, and irreversible myocardial remodeling. This comprehensive review discusses the technical considerations and clinical roles of myocardial T2 mapping with an emphasis on expanding the impact of this unique, noninvasive tissue parameter.
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Affiliation(s)
- Aaron T O'Brien
- Ohio University Heritage College of Osteopathic Medicine, Athens, Ohio, USA
| | - Katarzyna E Gil
- Department of Internal Medicine, Division of Cardiovascular Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Juliet Varghese
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, Ohio, USA
| | - Orlando P Simonetti
- Department of Internal Medicine, Division of Cardiovascular Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, Ohio, USA
- Department of Radiology, The Ohio State University, Columbus, Ohio, USA
| | - Karolina M Zareba
- Department of Internal Medicine, Division of Cardiovascular Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, Ohio, USA.
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Snel GJH, van den Boomen M, Hurtado-Ortiz K, Slart RHJA, van Deursen VM, Nguyen CT, Sosnovik DE, Dierckx RAJO, Velthuis BK, Borra RJH, Prakken NHJ. Cardiac Alterations on 3T MRI in Young Adults With Sedentary Lifestyle-Related Risk Factors. Front Cardiovasc Med 2022; 9:840790. [PMID: 35274012 PMCID: PMC8902075 DOI: 10.3389/fcvm.2022.840790] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 01/18/2022] [Indexed: 12/04/2022] Open
Abstract
Background Young adult populations with the sedentary lifestyle-related risk factors overweight, hypertension, and type 2 diabetes (T2D) are growing, and associated cardiac alterations could overlap early findings in non-ischemic cardiomyopathy on cardiovascular MRI. We aimed to investigate cardiac morphology, function, and tissue characteristics for these cardiovascular risk factors. Methods Non-athletic non-smoking asymptomatic adults aged 18-45 years were prospectively recruited and underwent 3Tesla cardiac MRI. Multivariate linear regression was performed to investigate independent associations of risk factor-related parameters with cardiac MRI values. Results We included 311 adults (age, 32 ± 7 years; men, 49%). Of them, 220 subjects had one or multiple risk factors, while 91 subjects were free of risk factors. For overweight, increased body mass index (per SD = 5.3 kg/m2) was associated with increased left ventricular (LV) mass (+7.3 g), biventricular higher end-diastolic (LV, +8.6 ml), and stroke volumes (SV; +5.0 ml), higher native T1 (+7.3 ms), and lower extracellular volume (ECV, -0.38%), whereas the higher waist-hip ratio was associated with lower biventricular volumes. Regarding hypertension, increased systolic blood pressure (per SD = 14 mmHg) was associated with increased LV mass (+6.9 g), higher LV ejection fraction (EF; +1.0%), and lower ECV (-0.48%), whereas increased diastolic blood pressure was associated with lower LV EF. In T2D, increased HbA1c (per SD = 9.0 mmol/mol) was associated with increased LV mass (+2.2 g), higher right ventricular end-diastolic volume (+3.2 ml), and higher ECV (+0.27%). Increased heart rate was linked with decreased LV mass, lower biventricular volumes, and lower T2 values. Conclusions Young asymptomatic adults with overweight, hypertension, and T2D show subclinical alterations in cardiac morphology, function, and tissue characteristics. These alterations should be considered in cardiac MRI-based clinical decision making.
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Affiliation(s)
- Gert J. H. Snel
- Department of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Maaike van den Boomen
- Department of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Cardiovascular Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Katia Hurtado-Ortiz
- Faculty of Medicine, National Autonomous University of Mexico (UNAM), Ciudad Universitaria, Mexico City, Mexico
| | - Riemer H. J. A. Slart
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
- Department of Biomedical Photonic Imaging, Faculty of Science and Technology, University of Twente, Enschede, Netherlands
| | - Vincent M. van Deursen
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Christopher T. Nguyen
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Cardiovascular Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - David E. Sosnovik
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Cardiovascular Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States
| | - Rudi A. J. O. Dierckx
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Birgitta K. Velthuis
- Department of Radiology, University Medical Center Utrecht, University of Utrecht, Utrecht, Netherlands
| | - Ronald J. H. Borra
- Department of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Niek H. J. Prakken
- Department of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
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Sivalokanathan S. The Role of Cardiovascular Magnetic Resonance Imaging in the Evaluation of Hypertrophic Cardiomyopathy. Diagnostics (Basel) 2022; 12:diagnostics12020314. [PMID: 35204405 PMCID: PMC8871211 DOI: 10.3390/diagnostics12020314] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 01/08/2022] [Accepted: 01/25/2022] [Indexed: 01/19/2023] Open
Abstract
Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiac disorder, affecting 1 out of 500 adults globally. It is a widely heterogeneous disorder characterized by a range of phenotypic expressions, and is most often identified by non-invasive imaging that includes echocardiography and cardiovascular magnetic resonance imaging (CMR). Within the last two decades, cardiac magnetic resonance imaging (MRI) has emerged as the defining tool for the characterization and prognostication of cardiomyopathies. With a higher image quality, spatial resolution, and the identification of morphological variants of HCM, CMR has become the gold standard imaging modality in the assessment of HCM. Moreover, it has been crucial in its management, as well as adding prognostic information that clinical history nor other imaging modalities may not provide. This literature review addresses the role and current applications of CMR, its capacity in evaluating HCM, and its limitations.
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Affiliation(s)
- Sanjay Sivalokanathan
- Internal Medicine, Pennsylvania Hospital, University of Pennsylvania Health System, Philadelphia, PA 19107, USA;
- Cardiovascular Clinical Academic Group, St. George’s University of London and St George’s University Hospitals NHS Foundation Trust, London SW17 0RE, UK
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The Role of Multimodality Imaging in Athlete's Heart Diagnosis: Current Status and Future Directions. J Clin Med 2021; 10:jcm10215126. [PMID: 34768646 PMCID: PMC8584488 DOI: 10.3390/jcm10215126] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 10/26/2021] [Accepted: 10/29/2021] [Indexed: 12/30/2022] Open
Abstract
“Athlete’s heart” is a spectrum of morphological and functional changes which occur in the heart of people who practice physical activity. When athlete’s heart occurs with its most marked expression, it may overlap with a differential diagnosis with certain structural cardiac diseases, including cardiomyopathies, valvular diseases, aortopathies, myocarditis, and coronary artery anomalies. Identifying the underlying cardiac is essential to reduce the potential for sudden cardiac death. For this purpose, a spectrum of imaging modalities, including rest and exercise stress echocardiography, speckle tracking echocardiography, cardiac magnetic resonance, computed tomography, and nuclear scintigraphy, can be undertaken. The objective of this review article is to provide to the clinician a practical step-by-step approach, aiming at distinguishing between extreme physiology and structural cardiac disease during the athlete’s cardiovascular evaluation.
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Yokoe I, Kobayashi H, Nishiwaki A, Nagasawa Y, Kitamura N, Haraoka M, Kobayashi Y, Takei M, Nakamura H. Asymptomatic myocardial dysfunction was revealed by feature tracking cardiac magnetic resonance imaging in patients with primary Sjögren's syndrome. Int J Rheum Dis 2021; 24:1482-1490. [PMID: 34694689 DOI: 10.1111/1756-185x.14227] [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: 07/10/2021] [Revised: 09/26/2021] [Accepted: 10/03/2021] [Indexed: 12/27/2022]
Abstract
AIM To evaluate subclinical left ventricular (LV) regional dysfunction in patients with primary Sjögren's syndrome (pSS) using feature tracking cardiac magnetic resonance (FT-CMR) imaging and to identify pSS characteristics independently associated with LV regional dysfunction. METHOD Fifty patients with pSS and 20 controls without cardiovascular disease underwent non-contrast CMR imaging. Labial gland biopsy was performed in 42 patients (84%). Disease activity was assessed using the European League Against Rheumatism Sjögren's syndrome disease activity index (ESSDAI). LV global longitudinal strain (GLS), global circumferential strain (GCS), and global radial strain (GRS) were measured using FT-CMR. RESULTS No significant differences in cardiovascular risk factors were found between the pSS group and controls. The pSS group had significantly lower GLS (P = .015) and GCS (P = .008) than the control group. Multiple linear regression analysis indicated that GCS was significantly associated with Raynaud's phenomenon (P = .015), focus score ≥2 (P = .032), and total ESSDAI score ≥8 (P = .029). CONCLUSION FT-CMR can reveal subclinical LV regional dysfunction in patients with pSS without cardiovascular disease. Furthermore, patients with pSS and Raynaud's phenomenon, a focus score ≥2, or an ESSDAI score ≥8 were considered to be at high risk for myocardial dysfunction.
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Affiliation(s)
- Isamu Yokoe
- Division of Hematology and Rheumatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan
| | - Hitomi Kobayashi
- Division of Hematology and Rheumatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan
| | - Atsuma Nishiwaki
- Division of Hematology and Rheumatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan
| | - Yosuke Nagasawa
- Division of Hematology and Rheumatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan
| | - Noboru Kitamura
- Division of Hematology and Rheumatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan
| | - Masaki Haraoka
- Department of Medical Information and Communication Technology Research, Graduate School of Medicine, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Yasuyuki Kobayashi
- Department of Medical Information and Communication Technology Research, Graduate School of Medicine, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Masami Takei
- Division of Hematology and Rheumatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan
| | - Hideki Nakamura
- Division of Hematology and Rheumatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan
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Quantification of Myocardial Deformation Applying CMR-Feature-Tracking-All About the Left Ventricle? Curr Heart Fail Rep 2021; 18:225-239. [PMID: 33931818 PMCID: PMC8342400 DOI: 10.1007/s11897-021-00515-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/15/2021] [Indexed: 11/11/2022]
Abstract
Purpose of Review Cardiac magnetic resonance-feature-tracking (CMR-FT)-based deformation analyses are key tools of cardiovascular imaging and applications in heart failure (HF) diagnostics are expanding. In this review, we outline the current range of application with diagnostic and prognostic implications and provide perspectives on future trends of this technique. Recent Findings By applying CMR-FT in different cardiovascular diseases, increasing evidence proves CMR-FT-derived parameters as powerful diagnostic and prognostic imaging biomarkers within the HF continuum partly outperforming traditional clinical values like left ventricular ejection fraction. Importantly, HF diagnostics and deformation analyses by CMR-FT are feasible far beyond sole left ventricular performance evaluation underlining the holistic nature and accuracy of this imaging approach. Summary As an established and continuously evolving technique with strong prognostic implications, CMR-FT deformation analyses enable comprehensive cardiac performance quantification of all cardiac chambers.
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