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Jada L, Holtackers RJ, Martens B, Nies HMJM, Van De Heyning CM, Botnar RM, Wildberger JE, Ismail TF, Razavi R, Chiribiri A. Quantification of myocardial scar of different etiology using dark- and bright-blood late gadolinium enhancement cardiovascular magnetic resonance. Sci Rep 2024; 14:5395. [PMID: 38443457 PMCID: PMC10914833 DOI: 10.1038/s41598-024-52058-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 01/12/2024] [Indexed: 03/07/2024] Open
Abstract
Dark-blood late gadolinium enhancement (LGE) has been shown to improve the visualization and quantification of areas of ischemic scar compared to standard bright-blood LGE. Recently, the performance of various semi-automated quantification methods has been evaluated for the assessment of infarct size using both dark-blood LGE and conventional bright-blood LGE with histopathology as a reference standard. However, the impact of this sequence on different quantification strategies in vivo remains uncertain. In this study, various semi-automated scar quantification methods were evaluated for a range of different ischemic and non-ischemic pathologies encountered in clinical practice. A total of 62 patients referred for clinical cardiovascular magnetic resonance (CMR) were retrospectively included. All patients had a confirmed diagnosis of either ischemic heart disease (IHD; n = 21), dilated/non-ischemic cardiomyopathy (NICM; n = 21), or hypertrophic cardiomyopathy (HCM; n = 20) and underwent CMR on a 1.5 T scanner including both bright- and dark-blood LGE using a standard PSIR sequence. Both methods used identical sequence settings as per clinical protocol, apart from the inversion time parameter, which was set differently. All short-axis LGE images with scar were manually segmented for epicardial and endocardial borders. The extent of LGE was then measured visually by manual signal thresholding, and semi-automatically by signal thresholding using the standard deviation (SD) and the full width at half maximum (FWHM) methods. For all quantification methods in the IHD group, except the 6 SD method, dark-blood LGE detected significantly more enhancement compared to bright-blood LGE (p < 0.05 for all methods). For both bright-blood and dark-blood LGE, the 6 SD method correlated best with manual thresholding (16.9% vs. 17.1% and 20.1% vs. 20.4%, respectively). For the NICM group, no significant differences between LGE methods were found. For bright-blood LGE, the 5 SD method agreed best with manual thresholding (9.3% vs. 11.0%), while for dark-blood LGE the 4 SD method agreed best (12.6% vs. 11.5%). Similarly, for the HCM group no significant differences between LGE methods were found. For bright-blood LGE, the 6 SD method agreed best with manual thresholding (10.9% vs. 12.2%), while for dark-blood LGE the 5 SD method agreed best (13.2% vs. 11.5%). Semi-automated LGE quantification using dark-blood LGE images is feasible in both patients with ischemic and non-ischemic scar patterns. Given the advantage in detecting scar in patients with ischemic heart disease and no disadvantage in patients with non-ischemic scar, dark-blood LGE can be readily and widely adopted into clinical practice without compromising on quantification.
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Affiliation(s)
- Lamis Jada
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
- King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
| | - Robert J Holtackers
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.
| | - Bibi Martens
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Hedwig M J M Nies
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Caroline M Van De Heyning
- GENCOR, University of Antwerp, Antwerp, Belgium
- Department of Cardiology, Antwerp University Hospital, Antwerp, Belgium
| | - Rene M Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
- Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
- Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile
| | - Joachim E Wildberger
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Tevfik F Ismail
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
| | - Reza Razavi
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
| | - Amedeo Chiribiri
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
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2
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Cecere A, Cipriani A, De Lazzari M, Graziano F, Brunetti G, De Conti G, Motta R, Ravagnin A, Lorenzoni G, Gregori D, Basso C, Tona F, Lee YJ, Delling FN, Iliceto S, Marra MP. Left ventricular fibrosis in arrhythmic mitral valve prolapse: quantification and comparison of semi-automated techniques assessed by cardiac magnetic resonance. Int J Cardiovasc Imaging 2024; 40:275-285. [PMID: 38141098 PMCID: PMC10884156 DOI: 10.1007/s10554-023-03006-6] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 11/03/2023] [Indexed: 12/24/2023]
Abstract
PURPOSE Left ventricular (LV) fibrosis has a key role in arrhythmogenesis in patients with mitral valve prolapse (MVP). Cardiac magnetic resonance identifies LV fibrosis by using late gadolinium enhancement (LGE) technique. LGE assessment and quantification in patients with MVP lacks of standardization protocols. METHODS 66 MVP patients with normal systolic function and without significant regurgitation were enrolled. Semi-automated gray-scale thresholding techniques using full width at half maximum (FWHM) and 2, 3 and 5 standard deviation (SD) above the remote myocardium were used and compared with the visual assessment, considered as the gold standard. RESULTS LGE was identified in 41 MVP patients (62%) and quantified. The mean quantity of LGE visually assessed was 2.40 ± 1.07% or 1.40 ± 0.82 g. With FWHM, LGE resulted 3.56 ± 1.23% or 1.99 ± 1.13 g. Using thresholding, the mean LGE quantity was 9.2 ± 3.1% or 4.82 ± 2.28 g for 2-SD, 5.72 ± 1.75% or 3.06 ± 1.47 g for 3-SD and 2.36 ± 0.99% or 1.29 ± 0.79 g for 5-SD. The 5-SD measurement in percentage demonstrated a good correlation with LGE quantification visually assessed (2.40 ± 1.07 vs. 2.363 ± 0.9909, p = 0.543). When compared with the gold standard, the 5-SD threshold quantification, both in percentage and in grams, revealed the least intra-observer (respectively, ICC: 0.976 and 0.966) and inter-observer variability (respectively ICC: 0.948 and 0.935). CONCLUSION The 5-SD gray-scale threshold technique in percentage revealed the best correlation with the visual assessment and an optimal reproducibility in MVP patient.
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Affiliation(s)
- Annagrazia Cecere
- Cardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua-Azienda Ospedaliera, Via Giustiniani, 2, 35128, Padua, Italy
| | - Alberto Cipriani
- Cardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua-Azienda Ospedaliera, Via Giustiniani, 2, 35128, Padua, Italy
| | - Manuel De Lazzari
- Cardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua-Azienda Ospedaliera, Via Giustiniani, 2, 35128, Padua, Italy
| | - Francesca Graziano
- Cardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua-Azienda Ospedaliera, Via Giustiniani, 2, 35128, Padua, Italy
| | - Giulia Brunetti
- Cardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua-Azienda Ospedaliera, Via Giustiniani, 2, 35128, Padua, Italy
| | - Giorgio De Conti
- Radiology Unit, University of Padua-Azienda Ospedaliera, Padua, Italy
| | - Raffaella Motta
- Department of Medicine, University of Padua-Azienda Ospedaliera, Padua, Italy
| | - Alberto Ravagnin
- Cardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua-Azienda Ospedaliera, Via Giustiniani, 2, 35128, Padua, Italy
| | - Giulia Lorenzoni
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, Unit of Biostatistics, Epidemiology and Public Health, University of Padova, Padova, Italy
| | - Dario Gregori
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, Unit of Biostatistics, Epidemiology and Public Health, University of Padova, Padova, Italy
| | - Cristina Basso
- Cardiovascular Pathology Unit, University Hospital of Padua, Padua, Italy
| | - Francesco Tona
- Cardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua-Azienda Ospedaliera, Via Giustiniani, 2, 35128, Padua, Italy
| | - Yoo Jin Lee
- Clinical Radiology, Cardiac and Pulmonary Imaging, University of California, San Francisco, CA, USA
| | - Francesca Nesta Delling
- Department of Medicine (Cardiovascular Division), University of California San Francisco, San Francisco, CA, USA
| | - Sabino Iliceto
- Cardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua-Azienda Ospedaliera, Via Giustiniani, 2, 35128, Padua, Italy
| | - Martina Perazzolo Marra
- Cardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua-Azienda Ospedaliera, Via Giustiniani, 2, 35128, Padua, Italy.
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3
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Caru M, Curnier D, Dubois P, Friedrich MG, Andelfinger G, Krajinovic M, Laverdière C, Sinnett D, Périé D. Cardiorespiratory Fitness and Cardiac Magnetic Resonance Imaging in Childhood Acute Lymphoblastic Leukemia Survivors. J Phys Act Health 2023; 20:522-530. [PMID: 36972702 DOI: 10.1123/jpah.2022-0179] [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: 04/04/2022] [Revised: 11/29/2022] [Accepted: 02/09/2023] [Indexed: 03/29/2023]
Abstract
BACKGROUND Childhood acute lymphoblastic leukemia survivors' anthracycline-induced cardiotoxicity could be prevented with good cardiorespiratory fitness levels and regular physical activity. This cross-sectional study aimed to assess the association between cardiorespiratory fitness and physical activity with cardiac magnetic resonance parameters. METHODS A total of 96 childhood acute lymphoblastic leukemia survivors underwent a maximal cardiopulmonary exercise test and answered physical activity questionnaires. We calculated the odds ratio of the preventive fraction of regular physical activity (≥150 min/wk) and adequate cardiorespiratory fitness levels (above the median ≥31.4 mL·kg-1·min-1) on cardiac magnetic resonance parameters (left ventricular [LV] and right ventricular [RV] morphological and functional parameters). RESULTS An adequate cardiorespiratory fitness was associated with a significant preventive fraction for LV (up to 84% for LV end-diastolic volume) and RV volumes (up to 88% for RV end-systolic volume). The adjusted analyses highlighted a preventive fraction of 36% to 91% between an adequate cardiorespiratory fitness and LV and RV parameters, late gadolinium enhancement fibrosis, and cardiac magnetic resonance relaxation times. No associations were reported with regular physical activity. CONCLUSIONS This study provides additional evidence regarding the benefits of an adequate cardiorespiratory fitness level for childhood cancer survivors' cardiac health.
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Affiliation(s)
- Maxime Caru
- Faculty of Medicine, Laboratory of Pathophysiology of EXercise (LPEX), School of Kinesiology and Physical Activity Sciences, University of Montreal, Montreal, QC,Canada
- Sainte-Justine University Health Center, Research Center, Montreal, QC,Canada
- Department of Mechanical Engineering, Polytechnique Montreal, Montreal, QC,Canada
| | - Daniel Curnier
- Faculty of Medicine, Laboratory of Pathophysiology of EXercise (LPEX), School of Kinesiology and Physical Activity Sciences, University of Montreal, Montreal, QC,Canada
- Sainte-Justine University Health Center, Research Center, Montreal, QC,Canada
| | - Pierre Dubois
- Department of Mechanical Engineering, Polytechnique Montreal, Montreal, QC,Canada
| | - Matthias G Friedrich
- Departments of Medicine and Diagnostic Radiology, Research Institute of the McGill University Health Centre, Montreal, QC,Canada
| | - Gregor Andelfinger
- Sainte-Justine University Health Center, Research Center, Montreal, QC,Canada
- Department of Pediatrics, University of Montreal, Montreal, QC,Canada
| | - Maja Krajinovic
- Sainte-Justine University Health Center, Research Center, Montreal, QC,Canada
- Department of Pediatrics, University of Montreal, Montreal, QC,Canada
| | - Caroline Laverdière
- Sainte-Justine University Health Center, Research Center, Montreal, QC,Canada
- Department of Pediatrics, University of Montreal, Montreal, QC,Canada
| | - Daniel Sinnett
- Sainte-Justine University Health Center, Research Center, Montreal, QC,Canada
- Department of Pediatrics, University of Montreal, Montreal, QC,Canada
| | - Delphine Périé
- Sainte-Justine University Health Center, Research Center, Montreal, QC,Canada
- Department of Mechanical Engineering, Polytechnique Montreal, Montreal, QC,Canada
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Vermes E, Altes A, Iacuzio L, Levy F, Bohbot Y, Renard C, Grigioni F, Maréchaux S, Tribouilloy C. The evolving role of cardiovascular magnetic resonance in the assessment of mitral valve prolapse. Front Cardiovasc Med 2023; 10:1093060. [PMID: 36937904 PMCID: PMC10020178 DOI: 10.3389/fcvm.2023.1093060] [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: 11/08/2022] [Accepted: 02/13/2023] [Indexed: 03/06/2023] Open
Abstract
Mitral valve prolapse (MVP), characterized by a displacement > 2 mm above the mitral annulus of one or both bileaflets, with or without leaflet thickening, is a common valvular heart disease, with a prevalence of approximately 2% in western countries. Although this population has a generally good overall prognosis, MVP can be associated with mitral regurgitation (MR), left ventricular (LV) remodeling leading to heart failure, ventricular arrhythmia, and, the most devastating complication, sudden cardiac death, especially in myxomatous bileaflet prolapse (Barlow's disease). Among several prognostic factors reported in the literature, LV fibrosis and mitral annular disjunction may act as an arrhythmogenic substrate in this population. Cardiac magnetic resonance (CMR) has emerged as a reliable tool for assessing MVP, MR severity, LV remodeling, and fibrosis. Indeed, CMR is the gold standard imaging modality to assess ventricular volume, function, and wall motion abnormalities; it allows accurate calculation of the regurgitant volume and regurgitant fraction in MR using a combination of LV volumetric measurement and aortic flow quantification, independent of regurgitant jet morphology and valid in cases of multiple valvulopathies. Moreover, CMR is a unique imaging modality that can assess non-invasively focal and diffuse fibrosis using late gadolinium enhancement sequences and, more recently, T1 mapping. This review describes the use of CMR in patients with MVP and its role in identifying patients at high risk of ventricular arrhythmia.
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Affiliation(s)
- Emmanuelle Vermes
- Department of Cardiology, Amiens University Hospital, Amiens, France
- *Correspondence: Emmanuelle Vermes
| | - Alexandre Altes
- Department of Cardiology, Heart Valve Center, Lille Catholic Hospitals, GCS-Groupement des Hôpitaux de l'Institut Catholique de Lille, Lille Catholic University, Lille, France
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Brussels, Belgium
| | - Laura Iacuzio
- Department of Cardiology, Centre Cardio-Thoracique de Monaco, Monaco, Monaco
| | - Franck Levy
- Department of Cardiology, Centre Cardio-Thoracique de Monaco, Monaco, Monaco
| | - Yohann Bohbot
- Department of Cardiology, Amiens University Hospital, Amiens, France
- UR UPJV 7517, Jules Verne University of Picardie, Amiens, France
| | - Cédric Renard
- Department of Radiology, Amiens University Hospital, Amiens, France
| | - Francesco Grigioni
- Division of Cardiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma and Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy
| | - Sylvestre Maréchaux
- Department of Cardiology, Heart Valve Center, Lille Catholic Hospitals, GCS-Groupement des Hôpitaux de l'Institut Catholique de Lille, Lille Catholic University, Lille, France
| | - Christophe Tribouilloy
- Department of Cardiology, Amiens University Hospital, Amiens, France
- UR UPJV 7517, Jules Verne University of Picardie, Amiens, France
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Gräni C, Stark AW, Fischer K, Fürholz M, Wahl A, Erne SA, Huber AT, Guensch DP, Vollenbroich R, Ruberti A, Dobner S, Heg D, Windecker S, Lanz J, Pilgrim T. Diagnostic performance of cardiac magnetic resonance segmental myocardial strain for detecting microvascular obstruction and late gadolinium enhancement in patients presenting after a ST-elevation myocardial infarction. Front Cardiovasc Med 2022; 9:909204. [PMID: 35911559 PMCID: PMC9329615 DOI: 10.3389/fcvm.2022.909204] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 06/30/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundMicrovascular obstruction (MVO) and Late Gadolinium Enhancement (LGE) assessed in cardiac magnetic resonance (CMR) are associated with adverse outcome in patients with ST-elevation myocardial infarction (STEMI). Our aim was to analyze the diagnostic performance of segmental strain for the detection of MVO and LGE.MethodsPatients with anterior STEMI, who underwent additional CMR were enrolled in this sub-study of the CARE-AMI trial. Using CMR feature tracking (FT) segmental circumferential peak strain (SCS) was measured and the diagnostic performance of SCS to discriminate MVO and LGE was assessed in a derivation and validation cohort.ResultsForty-eight STEMI patients (62 ± 12 years old), 39 (81%) males, who underwent CMR (i.e., mean 3.0 ± 1.5 days) after primary percutaneous coronary intervention (PCI) were included. All patients presented with LGE and in 40 (83%) patients, MVO was additionally present. Segments in all patients were visually classified and 146 (19%) segments showed MVO (i.e., LGE+/MVO+), 308 (40%) segments showed LGE and no MVO (i.e., LGE+/MVO–), and 314 (41%) segments showed no LGE (i.e., LGE–). Diagnostic performance of SCS for detecting MVO segments (i.e., LGE+/MVO+ vs. LGE+/MVO–, and LGE–) showed an AUC = 0.764 and SCS cut-off value was –11.2%, resulting in a sensitivity of 78% and a specificity of 67% with a positive predictive value (PPV) of 30% and a negative predictive value (NPV) of 94% when tested in the validation group. For LGE segments (i.e., LGE+/MVO+ and LGE+/MVO– vs. LGE–) AUC = 0.848 and SCS with a cut-off value of –13.8% yielded to a sensitivity of 76%, specificity of 74%, PPV of 81%, and NPV of 70%.ConclusionSegmental strain in STEMI patients was associated with good diagnostic performance for detection of MVO+ segments and very good diagnostic performance of LGE+ segments. Segmental strain may be useful as a potential contrast-free surrogate marker to improve early risk stratification in patients after primary PCI.
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Affiliation(s)
- Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- *Correspondence: Christoph Gräni,
| | - Anselm W. Stark
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Kady Fischer
- Department of Anesthesiology and Pain Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Monika Fürholz
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andreas Wahl
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Sophie A. Erne
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Adrian T. Huber
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Dominik P. Guensch
- Department of Anesthesiology and Pain Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - René Vollenbroich
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andrea Ruberti
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Stephan Dobner
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Dik Heg
- Clinical Trials Unit, University of Bern, Bern, Switzerland
| | - Stephan Windecker
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Jonas Lanz
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Thomas Pilgrim
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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6
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Cardiac Magnetic Resonance for Myocardial Inflammation: Current State and Future Directions. CURRENT CARDIOVASCULAR IMAGING REPORTS 2022. [DOI: 10.1007/s12410-022-09566-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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7
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Nies HMJM, Gommers S, Bijvoet GP, Heckman LIB, Prinzen FW, Vogel G, Van De Heyning CM, Chiribiri A, Wildberger JE, Mihl C, Holtackers RJ. Histopathological validation of semi-automated myocardial scar quantification techniques for dark-blood late gadolinium enhancement magnetic resonance imaging. Eur Heart J Cardiovasc Imaging 2022; 24:364-372. [PMID: 35723673 PMCID: PMC9936958 DOI: 10.1093/ehjci/jeac107] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 05/06/2022] [Accepted: 05/10/2022] [Indexed: 11/13/2022] Open
Abstract
AIMS To evaluate the performance of various semi-automated techniques for quantification of myocardial infarct size on both conventional bright-blood and novel dark-blood late gadolinium enhancement (LGE) images using histopathology as reference standard. METHODS AND RESULTS In 13 Yorkshire pigs, reperfused myocardial infarction was experimentally induced. At 7 weeks post-infarction, both bright-blood and dark-blood LGE imaging were performed on a 1.5 T magnetic resonance scanner. Following magnetic resonance imaging (MRI), the animals were sacrificed, and histopathology was obtained. The percentage of infarcted myocardium was assessed per slice using various semi-automated scar quantification techniques, including the signal threshold vs. reference mean (STRM, using 3 to 8 SDs as threshold) and full-width at half-maximum (FWHM) methods, as well as manual contouring, for both LGE methods. Infarct size obtained by histopathology was used as reference. In total, 24 paired LGE MRI slices and histopathology samples were available for analysis. For both bright-blood and dark-blood LGE, the STRM method with a threshold of 5 SDs led to the best agreement to histopathology without significant bias (-0.23%, 95% CI [-2.99, 2.52%], P = 0.862 and -0.20%, 95% CI [-2.12, 1.72%], P = 0.831, respectively). Manual contouring significantly underestimated infarct size on bright-blood LGE (-1.57%, 95% CI [-2.96, -0.18%], P = 0.029), while manual contouring on dark-blood LGE outperformed semi-automated quantification and demonstrated the most accurate quantification in this study (-0.03%, 95% CI [-0.22, 0.16%], P = 0.760). CONCLUSION The signal threshold vs. reference mean method with a threshold of 5 SDs demonstrated the most accurate semi-automated quantification of infarcted myocardium, without significant bias compared to histopathology, for both conventional bright-blood and novel dark-blood LGE.
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Affiliation(s)
| | - Suzanne Gommers
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, PO Box 5800, AZ 6202, Maastricht, The Netherlands
| | - Geertruida P Bijvoet
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands,Department of Cardiology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Luuk I B Heckman
- Department of Physiology, Maastricht University, Maastricht, The Netherlands
| | - Frits W Prinzen
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands,Department of Physiology, Maastricht University, Maastricht, The Netherlands
| | - Gaston Vogel
- Pie Medical Imaging, Maastricht, The Netherlands
| | - Caroline M Van De Heyning
- Department of Cardiology, Antwerp University Hospital and GENCOR, University of Antwerp, Antwerp, Belgium
| | - Amedeo Chiribiri
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
| | - Joachim E Wildberger
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands,Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, PO Box 5800, AZ 6202, Maastricht, The Netherlands
| | - Casper Mihl
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands,Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, PO Box 5800, AZ 6202, Maastricht, The Netherlands
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8
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Tengbom J, Cederström S, Verouhis D, Böhm F, Eriksson P, Folkersen L, Gabrielsen A, Jernberg T, Lundman P, Persson J, Saleh N, Settergren M, Sörensson P, Tratsiakovich Y, Tornvall P, Jung C, Pernow J. Arginase 1 is upregulated at admission in patients with ST-elevation myocardial infarction. J Intern Med 2021; 290:1061-1070. [PMID: 34237174 DOI: 10.1111/joim.13358] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
BACKGROUND The mechanisms underlying rupture of a coronary atherosclerotic plaque and development of myocardial ischemia-reperfusion injury in ST-elevation myocardial infarction (STEMI) remain unresolved. Increased arginase 1 activity leads to reduced nitric oxide (NO) production and increased formation of reactive oxygen species due to uncoupling of the NO-producing enzyme endothelial NO synthase (eNOS). This contributes to endothelial dysfunction, plaque instability and increased susceptibility to ischemia-reperfusion injury in acute myocardial infarction. OBJECTIVE The purpose of this study was to test the hypothesis that arginase gene and protein expression are upregulated in patients with STEMI. METHODS Two cohorts of patients with STEMI were included. In the first cohort (n = 51), expression of arginase and NO-synthases as well as arginase 1 protein levels were determined and compared to a healthy control group (n = 45). In a second cohort (n = 68), plasma arginase 1 levels and infarct size were determined using cardiac magnetic resonance imaging. RESULTS Expression of the gene encoding arginase 1 was significantly elevated at admission and 24-48 h after STEMI but not 3 months post STEMI, in comparison with the control group. Expression of the genes encoding arginase 2 and endothelial NO synthase (NOS3) were unaltered. Arginase 1 protein levels were elevated at admission, 24 h post STEMI and remained elevated for up to 6 months. No significant correlation between plasma arginase 1 protein levels and infarct size was observed. CONCLUSION The markedly increased gene and protein expression of arginase 1 already at admission indicates a role of arginase 1 in the development of STEMI.
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Affiliation(s)
- John Tengbom
- Unit of Cardiology, Department of Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Sofia Cederström
- Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden
| | - Dinos Verouhis
- Unit of Cardiology, Department of Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Felix Böhm
- Unit of Cardiology, Department of Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Per Eriksson
- Laboratory of Immunobiology, Cardiovascular Medicine Unit, Department of Medicine, Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | | | - Anders Gabrielsen
- Laboratory of Immunobiology, Cardiovascular Medicine Unit, Department of Medicine, Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Tomas Jernberg
- Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden
| | - Pia Lundman
- Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden
| | - Jonas Persson
- Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden
| | - Nawzad Saleh
- Unit of Cardiology, Department of Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Magnus Settergren
- Unit of Cardiology, Department of Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Peder Sörensson
- Unit of Cardiology, Department of Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Yahor Tratsiakovich
- Unit of Cardiology, Department of Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Per Tornvall
- Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset, Stockholm, Sweden
| | - Christian Jung
- Division of Cardiology, Pulmonology, and Vascular Medicine, University Hospital Düsseldorf, Düsseldorf, Germany
| | - John Pernow
- Unit of Cardiology, Department of Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
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9
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Nummi A, Mulari S, Stewart JA, Kivistö S, Teittinen K, Nieminen T, Lampinen M, Pätilä T, Sintonen H, Juvonen T, Kupari M, Suojaranta R, Kankuri E, Harjula A, Vento A. Epicardial Transplantation of Autologous Cardiac Micrografts During Coronary Artery Bypass Surgery. Front Cardiovasc Med 2021; 8:726889. [PMID: 34595223 PMCID: PMC8476794 DOI: 10.3389/fcvm.2021.726889] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 08/09/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Cardio-regenerative cell therapies offer additional biologic support to coronary artery bypass surgery (CABG) and are aimed at functionally repairing the myocardium that suffers from or is damaged by ischemia. This non-randomized open-label study assessed the safety and feasibility of epicardial transplantation of atrial appendage micrografts (AAMs) in patients undergoing CABG surgery. Methods: Twelve consecutive patients destined for CABG surgery were included in the study. Six patients received AAMs during their operation and six patients were CABG-operated without AAMs transplantation. Data from 30 elective CABG patients was collected for a center- and time-matched control group. The AAMs were processed during the operation from a biopsy collected from the right atrial appendage. They were delivered epicardially onto the infarct scar site identified in preoperative late gadolinium enhancement cardiac magnetic resonance imaging (CMRI). The primary outcome measures at the 6-month follow-up were (i) patient safety in terms of hemodynamic and cardiac function over time and (ii) feasibility of therapy administration in a clinical setting. Secondary outcome measures were left ventricular wall thickness, change in myocardial scar tissue volume, changes in left ventricular ejection fraction, plasma concentrations of N-terminal pro-B-type natriuretic peptide levels, NYHA class, number of days in hospital and changes in the quality of life. Results: Epicardial transplantation of AAMs was safe and feasible to be performed during CABG surgery. CMRI demonstrated an increase in viable cardiac tissue at the infarct site in patients receiving AAMs treatment. Conclusions and Relevance: Transplantation of AAMs shows good clinical applicability as performed during cardiac surgery, shows initial therapeutic effect on the myocardium and has the potential to serve as a delivery platform for cardiac gene therapies. Trial Registration:ClinicalTrials.gov, identifier: NCT02672163.
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Affiliation(s)
- Annu Nummi
- Heart and Lung Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Severi Mulari
- Heart and Lung Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Juhani A. Stewart
- Heart and Lung Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Sari Kivistö
- Department of Radiology, Helsinki University Hospital (HUS) Medical Imaging Center and Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Kari Teittinen
- Heart and Lung Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Tuomo Nieminen
- Department of Internal Medicine, Päijät-Häme Central Hospital, Lahti, Finland
| | - Milla Lampinen
- Department of Pharmacology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Tommi Pätilä
- Pediatric Cardiac Surgery, Children's Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Harri Sintonen
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Tatu Juvonen
- Heart and Lung Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Markku Kupari
- Heart and Lung Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Raili Suojaranta
- Department of Anesthesiology and Intensive Care, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Esko Kankuri
- Department of Pharmacology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Ari Harjula
- Heart and Lung Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Antti Vento
- Heart and Lung Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
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10
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Schulz-Menger J, Bluemke DA, Bremerich J, Flamm SD, Fogel MA, Friedrich MG, Kim RJ, von Knobelsdorff-Brenkenhoff F, Kramer CM, Pennell DJ, Plein S, Nagel E. Standardized image interpretation and post-processing in cardiovascular magnetic resonance - 2020 update : Society for Cardiovascular Magnetic Resonance (SCMR): Board of Trustees Task Force on Standardized Post-Processing. J Cardiovasc Magn Reson 2020; 22:19. [PMID: 32160925 PMCID: PMC7066763 DOI: 10.1186/s12968-020-00610-6] [Citation(s) in RCA: 472] [Impact Index Per Article: 118.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 02/17/2020] [Indexed: 01/04/2023] Open
Abstract
With mounting data on its accuracy and prognostic value, cardiovascular magnetic resonance (CMR) is becoming an increasingly important diagnostic tool with growing utility in clinical routine. Given its versatility and wide range of quantitative parameters, however, agreement on specific standards for the interpretation and post-processing of CMR studies is required to ensure consistent quality and reproducibility of CMR reports. This document addresses this need by providing consensus recommendations developed by the Task Force for Post-Processing of the Society for Cardiovascular Magnetic Resonance (SCMR). The aim of the Task Force is to recommend requirements and standards for image interpretation and post-processing enabling qualitative and quantitative evaluation of CMR images. Furthermore, pitfalls of CMR image analysis are discussed where appropriate. It is an update of the original recommendations published 2013.
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Affiliation(s)
- Jeanette Schulz-Menger
- Department of Cardiology and Nephrology, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine, and HELIOS Klinikum Berlin Buch, Schwanebecker Chaussee 50, 13125, Berlin, Germany.
| | - David A Bluemke
- University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Jens Bremerich
- Department of Radiology of the University Hospital Basel, Basel, Switzerland
| | - Scott D Flamm
- Imaging, and Heart and Vascular Institutes, Cleveland Clinic, Cleveland, OH, USA
| | - Mark A Fogel
- Department of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Matthias G Friedrich
- Departments of Medicine and Diagnostic Radiology, McGill University, Montreal, QC, Canada
| | - Raymond J Kim
- Duke Cardiovascular Magnetic Resonance Center, and Departments of Medicine and Radiology, Duke University Medical Center, Durham, NC, USA
| | | | - Christopher M Kramer
- Departments of Medicine and Radiology and the Cardiovascular Imaging Center, University of Virginia Health System, Charlottesville, VA, USA
| | | | - Sven Plein
- Leeds Institute for Genetics Health and Therapeutics & Leeds Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK
| | - Eike Nagel
- Institute for Experimental and Translational Cardiovascular Imaging, DZHK (German Centre for Cardiovascular Research) Centre for Cardiovascular Imaging, partner site RheinMain, University Hospital Frankfurt, Frankfurt am Main, Germany
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11
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Li W. Biomechanics of infarcted left Ventricle-A review of experiments. J Mech Behav Biomed Mater 2020; 103:103591. [PMID: 32090920 DOI: 10.1016/j.jmbbm.2019.103591] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 12/06/2019] [Accepted: 12/09/2019] [Indexed: 01/14/2023]
Abstract
Myocardial infarction (MI) is one of leading diseases to contribute to annual death rate of 5% in the world. In the past decades, significant work has been devoted to this subject. Biomechanics of infarcted left ventricle (LV) is associated with MI diagnosis, understanding of remodelling, MI micro-structure and biomechanical property characterizations as well as MI therapy design and optimization, but the subject has not been reviewed presently. In the article, biomechanics of infarcted LV was reviewed in terms of experiments achieved in the subject so far. The concerned content includes experimental remodelling, kinematics and kinetics of infarcted LVs. A few important issues were discussed and several essential topics that need to be investigated further were summarized. Microstructure of MI tissue should be observed even carefully and compared between different methods for producing MI scar in the same animal model, and eventually correlated to passive biomechanical property by establishing innovative constitutive laws. More uniaxial or biaxial tensile tests are desirable on MI, border and remote tissues, and viscoelastic property identification should be performed in various time scales. Active contraction experiments on LV wall with MI should be conducted to clarify impaired LV pumping function and supply necessary data to the function modelling. Pressure-volume curves of LV with MI during diastole and systole for the human are also desirable to propose and validate constitutive laws for LV walls with MI.
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Affiliation(s)
- Wenguang Li
- School of Engineering, University of Glasgow, Glasgow, G12 8QQ, UK.
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12
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Verouhis D, Sörensson P, Gourine A, Henareh L, Persson J, Saleh N, Settergren M, Sundqvist M, Tengbom J, Tornvall P, Witt N, Böhm F, Pernow J. Long‐term effect of remote ischemic conditioning on infarct size and clinical outcomes in patients with anterior ST‐elevation myocardial infarction. Catheter Cardiovasc Interv 2020; 97:386-392. [DOI: 10.1002/ccd.28760] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 12/21/2019] [Accepted: 01/20/2020] [Indexed: 11/12/2022]
Affiliation(s)
- Dinos Verouhis
- Division of Cardiology, Department of Medicine, Karolinska Institutet Karolinska University Hospital Stockholm Sweden
- Heart and Vascular Theme Karolinska University Hospital Stockholm Sweden
| | - Peder Sörensson
- Division of Cardiology, Department of Medicine, Karolinska Institutet Karolinska University Hospital Stockholm Sweden
- Heart and Vascular Theme Karolinska University Hospital Stockholm Sweden
| | - Andrey Gourine
- Division of Cardiology, Department of Medicine, Karolinska Institutet Karolinska University Hospital Stockholm Sweden
| | - Loghman Henareh
- Division of Cardiology, Department of Medicine, Karolinska Institutet Karolinska University Hospital Stockholm Sweden
- Heart and Vascular Theme Karolinska University Hospital Stockholm Sweden
| | - Jonas Persson
- Division of Cardiovascular Medicine, Department of Clinical Sciences, Karolinska Institutet Danderyd University Hospital
| | - Nawzad Saleh
- Division of Cardiology, Department of Medicine, Karolinska Institutet Karolinska University Hospital Stockholm Sweden
- Heart and Vascular Theme Karolinska University Hospital Stockholm Sweden
| | - Magnus Settergren
- Division of Cardiology, Department of Medicine, Karolinska Institutet Karolinska University Hospital Stockholm Sweden
- Heart and Vascular Theme Karolinska University Hospital Stockholm Sweden
| | - Martin Sundqvist
- Department of Clinical Science and Education, Karolinska Institutet Södersjukhuset Stockholm Sweden
| | - John Tengbom
- Division of Cardiology, Department of Medicine, Karolinska Institutet Karolinska University Hospital Stockholm Sweden
| | - Per Tornvall
- Department of Clinical Science and Education, Karolinska Institutet Södersjukhuset Stockholm Sweden
| | - Nils Witt
- Department of Clinical Science and Education, Karolinska Institutet Södersjukhuset Stockholm Sweden
| | - Felix Böhm
- Division of Cardiology, Department of Medicine, Karolinska Institutet Karolinska University Hospital Stockholm Sweden
- Heart and Vascular Theme Karolinska University Hospital Stockholm Sweden
| | - John Pernow
- Division of Cardiology, Department of Medicine, Karolinska Institutet Karolinska University Hospital Stockholm Sweden
- Heart and Vascular Theme Karolinska University Hospital Stockholm Sweden
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13
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Arai H, Kawakubo M, Abe K, Hatashima H, Sanui K, Nishimura H, Kadokami T. Quantification of intramyocardial hemorrhage volume using magnetic resonance imaging with three-dimensional T1-weighted sequence in patients with ischemia-reperfusion injury: a semi-automated image processing technique. Int J Cardiovasc Imaging 2019; 36:111-119. [PMID: 31522312 DOI: 10.1007/s10554-019-01697-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 09/08/2019] [Indexed: 11/29/2022]
Abstract
Although intramyocardial hemorrhage (IMH) is a poor prognostic factor caused by ischemia reperfusion injury, little evidence is available regarding the association between IMH volume and biomarkers. In the present study, we measured IMH volume using three-dimensional (3D) T1-weighted magnetic resonance imaging (T1-MRI) and investigated its association with biomarkers. Moreover, the accuracy of semi-automatic measurement of IMH volume was validated. We retrospectively enrolled 33 consecutive patients (mean age 67 ± 11 years) who underwent cardiac MRI after reperfusion therapy for acute myocardial infarction. IMH was observed in 4 patients (12.1%). Receiver operating characteristics (ROC) analysis of creatine kinase (CK) and CK-muscle/brain (CK-MB) tests for detecting IMH were performed. IMH volume measured using semi-automatic methods by a 2 standard deviation (SD) threshold was compared to manual measurements using the Spearman's correlation coefficient (ρ) and Bland-Altman analyses. ROC analysis revealed optimal cutoff values of CK: 2460 IU/l and CK-MB: 231 IU/l (area under the curve: 0.95 and 0.91; sensitivity: 86% and 79%; specificity: 100% for both). IMH volume with the 2SD threshold correlated with that of the manual measurement [5.84 g (3.30 to 9.00) g vs. 8.07 g (5.37 to 9.33); ρ: 0.85, p < 0.01; bias (limit of agreement): - 0.01 g (- 0.51 to 0.49); intraclass correlation coefficients 0.84 (0.75 to 0.90)]. Our findings could help identify the risk of IMH after reperfusion therapy with biomarkers. 3D T1-MRI can semi-automatically provide accurate IMH volume without being time-consuming.
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Affiliation(s)
- Hideo Arai
- Fukuokaken Saiseikai Futsukaichi Hospital, Fukuoka, Japan
| | - Masateru Kawakubo
- Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi Higashi-ku, Fukuoka, 812-8582, Japan.
| | - Ko Abe
- Fukuokaken Saiseikai Futsukaichi Hospital, Fukuoka, Japan
| | | | - Kenichi Sanui
- Fukuokaken Saiseikai Futsukaichi Hospital, Fukuoka, Japan
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14
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Knott KD, Augusto JB, Nordin S, Kozor R, Camaioni C, Xue H, Hughes RK, Manisty C, Brown LAE, Kellman P, Ramaswami U, Hughes D, Plein S, Moon JC. Quantitative Myocardial Perfusion in Fabry Disease. Circ Cardiovasc Imaging 2019; 12:e008872. [PMID: 31269811 DOI: 10.1161/circimaging.119.008872] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Fabry disease (FD) is an X-linked lysosomal storage disease resulting in tissue accumulation of sphingolipids. Key myocardial processes that lead to adverse outcomes in FD include storage, hypertrophy, inflammation, and fibrosis. These are quantifiable by multiparametric cardiovascular magnetic resonance. Recent developments in cardiovascular magnetic resonance perfusion mapping allow rapid in-line perfusion quantification permitting broader clinical application, including the assessment of microvascular dysfunction. We hypothesized that microvascular dysfunction in FD would be associated with storage, fibrosis, and edema. METHODS A prospective, observational study of 44 FD patients (49 years, 43% male, 24 [55%] with left ventricular hypertrophy [LVH]) and 27 healthy controls with multiparametric cardiovascular magnetic resonance including vasodilator stress perfusion mapping. Myocardial blood flow (MBF) was measured and its associations with other processes investigated. RESULTS Compared with LVH- FD, LVH+ FD had higher left ventricular ejection fraction (73% versus 68%), more late gadolinium enhancement (85% versus 15%), and a lower stress MBF (1.76 versus 2.36 mL/g per minute). The reduction in stress MBF was more pronounced in the subendocardium than subepicardium. LVH- FD had lower stress MBF than controls (2.36 versus 3.00 mL/g per minute; P=0.002). Across all FD, late gadolinium enhancement and low native T1 were independently associated with reduced stress MBF. On a per-segment basis, stress MBF was independently associated with wall thickness, T2, extracellular volume fraction, and late gadolinium enhancement. CONCLUSIONS FD patients have reduced perfusion, particularly in the subendocardium with greater reductions with LVH, storage, edema, and scar. Perfusion is reduced even without LVH suggesting it is an early disease marker.
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Affiliation(s)
- Kristopher D Knott
- Institute of Cardiovascular Science, University College London, United Kingdom (K.D.K., J.B.A., S.N., R.K.H., C.M., J.C.M.).,Advanced Cardiac Imaging, Barts Heart Centre, The Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases Unit, St Bartholomew's Hospital, West Smithfield, London, United Kingdom (K.D.K., J.B.A., S.N., C.C., R.K.H., C.M., J.C.M.)
| | - Joao B Augusto
- Institute of Cardiovascular Science, University College London, United Kingdom (K.D.K., J.B.A., S.N., R.K.H., C.M., J.C.M.).,Advanced Cardiac Imaging, Barts Heart Centre, The Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases Unit, St Bartholomew's Hospital, West Smithfield, London, United Kingdom (K.D.K., J.B.A., S.N., C.C., R.K.H., C.M., J.C.M.)
| | - Sabrina Nordin
- Institute of Cardiovascular Science, University College London, United Kingdom (K.D.K., J.B.A., S.N., R.K.H., C.M., J.C.M.).,Advanced Cardiac Imaging, Barts Heart Centre, The Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases Unit, St Bartholomew's Hospital, West Smithfield, London, United Kingdom (K.D.K., J.B.A., S.N., C.C., R.K.H., C.M., J.C.M.)
| | - Rebecca Kozor
- Sydney Medical School, University of Sydney, Australia (R.K.)
| | - Claudia Camaioni
- Advanced Cardiac Imaging, Barts Heart Centre, The Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases Unit, St Bartholomew's Hospital, West Smithfield, London, United Kingdom (K.D.K., J.B.A., S.N., C.C., R.K.H., C.M., J.C.M.)
| | - Hui Xue
- Medical Signal and Image Processing, National Heart, Lung, and Blood Institute, National Institutes of Health, DHHS, Bethesda, MD (H.X., P.K.)
| | - Rebecca K Hughes
- Institute of Cardiovascular Science, University College London, United Kingdom (K.D.K., J.B.A., S.N., R.K.H., C.M., J.C.M.).,Advanced Cardiac Imaging, Barts Heart Centre, The Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases Unit, St Bartholomew's Hospital, West Smithfield, London, United Kingdom (K.D.K., J.B.A., S.N., C.C., R.K.H., C.M., J.C.M.)
| | - Charlotte Manisty
- Institute of Cardiovascular Science, University College London, United Kingdom (K.D.K., J.B.A., S.N., R.K.H., C.M., J.C.M.).,Advanced Cardiac Imaging, Barts Heart Centre, The Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases Unit, St Bartholomew's Hospital, West Smithfield, London, United Kingdom (K.D.K., J.B.A., S.N., C.C., R.K.H., C.M., J.C.M.)
| | - Louise A E Brown
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, United Kingdom (L.A.E.B., S.P.)
| | - Peter Kellman
- Medical Signal and Image Processing, National Heart, Lung, and Blood Institute, National Institutes of Health, DHHS, Bethesda, MD (H.X., P.K.)
| | - Uma Ramaswami
- Lysosomal Storage Disorder Unit, Royal Free Hospital, London, United Kingdom (U.R., D.H.)
| | - Derralyn Hughes
- Lysosomal Storage Disorder Unit, Royal Free Hospital, London, United Kingdom (U.R., D.H.)
| | - Sven Plein
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, United Kingdom (L.A.E.B., S.P.)
| | - James C Moon
- Institute of Cardiovascular Science, University College London, United Kingdom (K.D.K., J.B.A., S.N., R.K.H., C.M., J.C.M.).,Advanced Cardiac Imaging, Barts Heart Centre, The Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases Unit, St Bartholomew's Hospital, West Smithfield, London, United Kingdom (K.D.K., J.B.A., S.N., C.C., R.K.H., C.M., J.C.M.)
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15
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Gannon MP, Schaub E, Grines CL, Saba SG. State of the art: Evaluation and prognostication of myocarditis using cardiac MRI. J Magn Reson Imaging 2019; 49:e122-e131. [DOI: 10.1002/jmri.26611] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 11/28/2018] [Accepted: 11/29/2018] [Indexed: 01/14/2023] Open
Affiliation(s)
- Michael P. Gannon
- National Heart, Lung, and Blood InstituteNational Institutes of Health Bethesda Maryland USA
| | - Ebe Schaub
- University of Heidelberg Heidelberg Germany
| | - Cindy L. Grines
- Department of CardiologyBarbara and Donald Zucker School of Medicine at Hofstra Northwell Manhasset New York USA
| | - Shahryar G. Saba
- Department of CardiologyBarbara and Donald Zucker School of Medicine at Hofstra Northwell Manhasset New York USA
- Department of RadiologyBarbara and Donald Zucker School of Medicine at Hofstra Northwell Manhasset New York USA
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16
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Rahsepar AA, Ghasemiesfe A, Suwa K, Dolan RS, Shehata ML, Korell MJ, Naresh NK, Markl M, Collins JD, Carr JC. Comprehensive evaluation of macroscopic and microscopic myocardial fibrosis by cardiac MR: intra-individual comparison of gadobutrol versus gadoterate meglumine. Eur Radiol 2019; 29:4357-4367. [DOI: 10.1007/s00330-018-5956-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Revised: 11/14/2018] [Accepted: 12/05/2018] [Indexed: 12/21/2022]
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17
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Cikiriz N, Zdravkovic M, Simovic S, Zivkovic V, Jakovljevic B, Hinic S, Maksimovic R, Srejovic I, Jakovljevic V. Focal Myocarditis in Professonal Female Athlete: A Case Report. SERBIAN JOURNAL OF EXPERIMENTAL AND CLINICAL RESEARCH 2018. [DOI: 10.1515/sjecr-2017-0062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
A 35-year-old female athlete appealed to her sports physician on new onset of frequent palpitations, just before an important competition. Initial electrocardiography revealed unifocal premature ventricular complexes in the form of bigeminy. Echocardiography revealed fine-granulated hyperdensic changes in septum. Global strain rate was within a range normal, as well as pulsed tissue Doppler ultrasound. Patient was referred for cardiac MRI, which revealed interventricular septum with rougher compounds, but with preserved continuity, with thickness of 10 mm, which is in the middle of the LV, in length of 5 mm, thinned to a thickness of 4 mm. ELISA laboratory test demonstrated an increased titer of IgM antibodies for adenovirus. Six months later, the patient was referred for control MRI of the heart, which showed pronounced trabeculation of infero-lateral wall of the left ventricle, but without certain criteria for non-compaction cardiomyopathy. There was T1 oedema component in apical septal segment and apical segment of the left ventricle. There was increase of the signal in late gadolinium enhancement in the medial parts of the same segments but also in the segment of the basomedial septum, with previous focal myocarditis. These findings suggest myocardial fibrosis in the segments that were stricken by myocarditis, now without active ongoing myocarditis, but without consequent myocardial fibrosis.
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Affiliation(s)
- Nikola Cikiriz
- Department of Exercise Physiology, Institute of Hygiene, Military Medical Academy , Belgrade , Serbia
| | - Marija Zdravkovic
- University Hospital Medical Center “Bezanijska Kosa”, Faculty of Medicine , University of Belgrade , Belgrade , Serbia
| | - Stefan Simovic
- Clinic for Cardiology, Clinical Center Kragujevac , Kragujevac , Serbia
| | - Vladimir Zivkovic
- University of Kragujevac , Faculty of Medical Sciences, Department of Physiology , Kragujevac , Serbia
| | - Biljana Jakovljevic
- Medical College of applied sciences in Zemun , University of Belgrade , Belgrade , Serbia
| | - Sasa Hinic
- University Hospital Medical Center “Bezanijska Kosa”, Faculty of Medicine , University of Belgrade , Belgrade , Serbia
| | - Ruzica Maksimovic
- Institute of Radiology, Clinical Center Serbia, Faculty of Medicine , University of Belgrade , Belgrade , Serbia
| | - Ivan Srejovic
- University of Kragujevac , Faculty of Medical Sciences, Department of Physiology , Kragujevac , Serbia
| | - Vladimir Jakovljevic
- University of Kragujevac , Faculty of Medical Sciences, Department of Physiology , Kragujevac , Serbia
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18
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Chubb H, Karim R, Roujol S, Nuñez-Garcia M, Williams SE, Whitaker J, Harrison J, Butakoff C, Camara O, Chiribiri A, Schaeffter T, Wright M, O’Neill M, Razavi R. The reproducibility of late gadolinium enhancement cardiovascular magnetic resonance imaging of post-ablation atrial scar: a cross-over study. J Cardiovasc Magn Reson 2018; 20:21. [PMID: 29554919 PMCID: PMC5858144 DOI: 10.1186/s12968-018-0438-y] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Accepted: 02/19/2018] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Cardiovascular magnetic resonance (CMR) imaging has been used to visualise post-ablation atrial scar (PAAS), generally employing a three-dimensional (3D) late gadolinium enhancement (LGE) technique. However the reproducibility of PAAS imaging has not been determined. This cross-over study is the first to investigate the reproducibility of the technique, crucial for both future research design and clinical implementation. METHODS Forty subjects undergoing first time ablation for atrial fibrillation (AF) had detailed CMR assessment of PAAS. Following baseline pre-ablation scan, two scans (separated by 48 h) were performed at three months post-ablation. Each scan session included 3D LGE acquisition at 10, 20 and 30 min post administration of gadolinium-based contrast agent (GBCA). Subjects were allocated at second scan post-ablation to identical imaging parameters ('Repro', n = 10), 3 T scanner ('3 T', n = 10), half-slice thickness ('Half-slice', n = 10) or half GBCA dose ('Half-gad', n = 10). PAAS was compared to baseline scar and then reproducibility was assessed for two measures of thresholded scar (% left atrial (LA) occupied by PAAS (%LA PAAS) and Pulmonary Vein Encirclement (PVE)), and then four measures of non-thresholded scar (point-by-point assessment of PAAS, four normalisation methods). Thresholded measures of PAAS were evaluated against procedural outcome (AF recurrence). RESULTS A total of 271 3D acquisitions (out of maximum 280, 96.7%) were acquired. At 20 and 30 min, inter-scan reproducibility was good to excellent (coefficient of variation at 20 min and 30 min: %LA PAAS 0.41 and 0.20; PVE 0.13 and 0.04 respectively for 'Repro' group). Changes in imaging parameters, especially reduced GBCA dose, reduced inter-scan reproducibility, but for most measures remained good to excellent (ICC for %LA PAAS 0.454-0.825, PVE 0.618-0.809 at 30 min). For non-thresholded scar, highest reproducibility was observed using blood pool z-score normalisation technique: inter-scan ICC 0.759 (absolute agreement, 'Repro' group). There was no significant relationship between indices of PAAS and AF recurrence. CONCLUSION PAAS imaging is a reproducible finding. Imaging should be performed at least 20 min post-GBCA injection, and a blood pool z-score should be considered for normalisation of signal intensities. The clinical implications of these findings remain to be established in the absence of a simple correlation with arrhythmia outcome. TRIAL REGISTRATION United Kingdom National Research Ethics Service 08/H0802/68 - 30th September 2008.
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Affiliation(s)
- Henry Chubb
- School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge Road, London, SE1 7EH UK
| | - Rashed Karim
- School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge Road, London, SE1 7EH UK
| | - Sébastien Roujol
- School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge Road, London, SE1 7EH UK
| | - Marta Nuñez-Garcia
- PhySense, Department of Information and Communication Technologies Department, Universitat Pompeu Fabra, Barcelona, Spain
| | - Steven E. Williams
- School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge Road, London, SE1 7EH UK
- Department of Cardiology, St Thomas’ Hospital, London, UK
| | - John Whitaker
- School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge Road, London, SE1 7EH UK
| | - James Harrison
- School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge Road, London, SE1 7EH UK
- Department of Cardiology, St Thomas’ Hospital, London, UK
| | - Constantine Butakoff
- PhySense, Department of Information and Communication Technologies Department, Universitat Pompeu Fabra, Barcelona, Spain
| | - Oscar Camara
- PhySense, Department of Information and Communication Technologies Department, Universitat Pompeu Fabra, Barcelona, Spain
| | - Amedeo Chiribiri
- School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge Road, London, SE1 7EH UK
- Department of Cardiology, St Thomas’ Hospital, London, UK
| | - Tobias Schaeffter
- School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge Road, London, SE1 7EH UK
| | - Matthew Wright
- School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge Road, London, SE1 7EH UK
- Department of Cardiology, St Thomas’ Hospital, London, UK
| | - Mark O’Neill
- School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge Road, London, SE1 7EH UK
- Department of Cardiology, St Thomas’ Hospital, London, UK
| | - Reza Razavi
- School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge Road, London, SE1 7EH UK
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Fan H, Li S, Lu M, Yin G, Yang X, Lan T, Dai L, Chen X, Li J, Zhang Y, Sirajuddin A, Kellman P, Arai AE, Zhao S. Myocardial late gadolinium enhancement: a head-to-head comparison of motion-corrected balanced steady-state free precession with segmented turbo fast low angle shot. Clin Radiol 2018; 73:593.e1-593.e9. [PMID: 29548551 DOI: 10.1016/j.crad.2018.02.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Accepted: 02/08/2018] [Indexed: 02/08/2023]
Abstract
AIM To evaluate the image quality and diagnostic agreement with a head-to-head comparison of late gadolinium enhancement (LGE) images acquired by the motion-corrected (MOCO) balanced steady-state free precession (bSSFP) phase sensitivity inversion recovery (PSIR) and conventional segmented fast low angle shot (FLASH) PSIR methods15,16 in a patient cohort with a wide spectrum of cardiovascular disease. MATERIALS AND METHODS In 59 consecutive patients, signal-to-noise ratios (SNRs), contrast-to-noise ratios (CNRs) of the normal myocardium (NM), LGE, and blood pool (BP) were pair-wise compared between the two different sequences. A further semi-qualitative score system (graded 1 -4) was used to compare the overall image quality (OIQ). The diagnostic agreement of the two techniques were evaluated by both transmural severity and absolutely quantitative size of LGE. RESULTS The SNRs of the NM, LGE, and BP of MOCO bSSFP were 4.8±3.4, 53.6±35.6 and 43.2±29.3, compared with 3.9±3.6 (p=0.126), 27.7±18.5 (p<0.001) and 24.3±13.4 (p<0.001) of FLASH LGE, respectively. The CNRs of LGE to NM, LGE to BP, and BP to NM were 48.3±33.1 versus 23.8±16.7 (p<0.001), 6.5±21.6 versus 3.8±10.8 (p<0.001), and 38.3±27.2 versus 20.3±10.7 (p=0.448), respectively. The OIQ of MOCO bSSFP was higher than that of segmented FLASH (median 4 versus median 3, p<0.001). For quantification of LGE size, there is good agreement and high correlation (r=0.992, p<0.001) between the two methods. CONCLUSIONS MOCO bSSFP is a feasible, robust sequence for LGE imaging, especially for patients with arrhythmia and those incapable of breath-holding due to severe heart failure.
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Affiliation(s)
- H Fan
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Department of Radiology, Air Force General Hospital, People's Liberation Army, Beijing, China
| | - S Li
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - M Lu
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA.
| | - G Yin
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - X Yang
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - T Lan
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - L Dai
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - X Chen
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Li
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Zhang
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - A Sirajuddin
- National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - P Kellman
- Cardiovascular and Pulmonary Branch, National Heart, Lung and Blood Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, USA
| | - A E Arai
- National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - S Zhao
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Bulluck H, Hammond-Haley M, Weinmann S, Martinez-Macias R, Hausenloy DJ. Myocardial Infarct Size by CMR in Clinical Cardioprotection Studies: Insights From Randomized Controlled Trials. JACC Cardiovasc Imaging 2017; 10:230-240. [PMID: 28279370 PMCID: PMC5348096 DOI: 10.1016/j.jcmg.2017.01.008] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 01/23/2017] [Accepted: 01/26/2017] [Indexed: 01/19/2023]
Abstract
OBJECTIVES The aim of this study was to review randomized controlled trials (RCTs) using cardiac magnetic resonance (CMR) to assess myocardial infarct (MI) size in reperfused patients with ST-segment elevation myocardial infarction (STEMI). BACKGROUND There is limited guidance on the use of CMR in clinical cardioprotection RCTs in patients with STEMI treated by primary percutaneous coronary intervention. METHODS All RCTs in which CMR was used to quantify MI size in patients with STEMI treated with primary percutaneous coronary intervention were identified and reviewed. RESULTS Sixty-two RCTs (10,570 patients, January 2006 to November 2016) were included. One-third did not report CMR vendor or scanner strength, the contrast agent and dose used, and the MI size quantification technique. Gadopentetate dimeglumine was most commonly used, followed by gadoterate meglumine and gadobutrol at 0.20 mmol/kg each, with late gadolinium enhancement acquired at 10 min; in most RCTs, MI size was quantified manually, followed by the 5 standard deviation threshold; dropout rates were 9% for acute CMR only and 16% for paired acute and follow-up scans. Weighted mean acute and chronic MI sizes (≤12 h, initial TIMI [Thrombolysis in Myocardial Infarction] flow grade 0 to 3) from the control arms were 21 ± 14% and 15 ± 11% of the left ventricle, respectively, and could be used for future sample-size calculations. Pre-selecting patients most likely to benefit from the cardioprotective therapy (≤6 h, initial TIMI flow grade 0 or 1) reduced sample size by one-third. Other suggested recommendations for standardizing CMR in future RCTs included gadobutrol at 0.15 mmol/kg with late gadolinium enhancement at 15 min, manual or 6-SD threshold for MI quantification, performing acute CMR at 3 to 5 days and follow-up CMR at 6 months, and adequate reporting of the acquisition and analysis of CMR. CONCLUSIONS There is significant heterogeneity in RCT design using CMR in patients with STEMI. The authors provide recommendations for standardizing the assessment of MI size using CMR in future clinical cardioprotection RCTs.
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Affiliation(s)
- Heerajnarain Bulluck
- The Hatter Cardiovascular Institute, Institute of Cardiovascular Science, University College London, United Kingdom; The National Institute of Health Research University College London Hospitals Biomedical Research Center, London, United Kingdom; National Heart Research Institute Singapore, National Heart Center Singapore, Singapore, Singapore
| | - Matthew Hammond-Haley
- The Hatter Cardiovascular Institute, Institute of Cardiovascular Science, University College London, United Kingdom
| | - Shane Weinmann
- The Hatter Cardiovascular Institute, Institute of Cardiovascular Science, University College London, United Kingdom
| | - Roberto Martinez-Macias
- The Hatter Cardiovascular Institute, Institute of Cardiovascular Science, University College London, United Kingdom
| | - Derek J Hausenloy
- The Hatter Cardiovascular Institute, Institute of Cardiovascular Science, University College London, United Kingdom; The National Institute of Health Research University College London Hospitals Biomedical Research Center, London, United Kingdom; National Heart Research Institute Singapore, National Heart Center Singapore, Singapore, Singapore; Cardiovascular and Metabolic Disorders Program, Duke-National University of Singapore, Singapore, Singapore.
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21
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Swoboda PP, McDiarmid AK, Erhayiem B, Ripley DP, Dobson LE, Garg P, Musa TA, Witte KK, Kearney MT, Barth JH, Ajjan R, Greenwood JP, Plein S. Diabetes Mellitus, Microalbuminuria, and Subclinical Cardiac Disease: Identification and Monitoring of Individuals at Risk of Heart Failure. J Am Heart Assoc 2017; 6:JAHA.117.005539. [PMID: 28716801 PMCID: PMC5586286 DOI: 10.1161/jaha.117.005539] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND Patients with type 2 diabetes mellitus and elevated urinary albumin:creatinine ratio (ACR) have increased risk of heart failure. We hypothesized this was because of cardiac tissue changes rather than silent coronary artery disease. METHODS AND RESULTS In a case-controlled observational study 130 subjects including 50 ACR+ve diabetes mellitus patients with persistent microalbuminuria (ACR >2.5 mg/mol in males and >3.5 mg/mol in females, ≥2 measurements, no previous renin-angiotensin-aldosterone therapy, 50 ACR-ve diabetes mellitus patients and 30 controls underwent cardiovascular magnetic resonance for investigation of myocardial fibrosis, ischemia and infarction, and echocardiography. Thirty ACR+ve patients underwent further testing after 1-year treatment with renin-angiotensin-aldosterone blockade. Cardiac extracellular volume fraction, a measure of diffuse fibrosis, was higher in diabetes mellitus patients than controls (26.1±3.4% and 23.3±3.0% P=0.0002) and in ACR+ve than ACR-ve diabetes mellitus patients (27.2±4.1% versus 25.1±2.9%, P=0.004). ACR+ve patients also had lower E' measured by echocardiography (8.2±1.9 cm/s versus 8.9±1.9 cm/s, P=0.04) and elevated high-sensitivity cardiac troponin T 18% versus 4% ≥14 ng/L (P=0.05). Rate of silent myocardial ischemia or infarction were not influenced by ACR status. Renin-angiotensin-aldosterone blockade was associated with increased left ventricular ejection fraction (59.3±7.8 to 61.5±8.7%, P=0.03) and decreased extracellular volume fraction (26.5±3.6 to 25.2±3.1, P=0.01) but no changes in diastolic function or high-sensitivity cardiac troponin T levels. CONCLUSIONS Asymptomatic diabetes mellitus patients with persistent microalbuminuria have markers of diffuse cardiac fibrosis including elevated extracellular volume fraction, high-sensitivity cardiac troponin T, and diastolic dysfunction, which may in part be reversible by renin-angiotensin-aldosterone blockade. Increased risk in these patients may be mediated by subclinical changes in tissue structure and function. CLINICAL TRIAL REGISTRATION URL: https://www.clinicaltrials.gov. Unique identifier: NCT01970319.
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Affiliation(s)
- Peter P Swoboda
- Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom
| | - Adam K McDiarmid
- Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom
| | - Bara Erhayiem
- Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom
| | - David P Ripley
- Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom
| | - Laura E Dobson
- Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom
| | - Pankaj Garg
- Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom
| | - Tarique A Musa
- Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom
| | - Klaus K Witte
- Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom
| | - Mark T Kearney
- Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom
| | - Julian H Barth
- Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Ramzi Ajjan
- Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom
| | - John P Greenwood
- Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom
| | - Sven Plein
- Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom
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22
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Bulluck H, Rosmini S, Abdel-Gadir A, Bhuva AN, Treibel TA, Fontana M, Weinmann S, Sirker A, Herrey AS, Manisty C, Moon JC, Hausenloy DJ. Impact of microvascular obstruction on semiautomated techniques for quantifying acute and chronic myocardial infarction by cardiovascular magnetic resonance. Open Heart 2016; 3:e000535. [PMID: 28008358 PMCID: PMC5174824 DOI: 10.1136/openhrt-2016-000535] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Revised: 10/27/2016] [Accepted: 11/17/2016] [Indexed: 02/06/2023] Open
Abstract
Aims The four most promising semiautomated techniques (5-SD, 6-SD, Otsu and the full width half maximum (FWHM)) were compared in paired acute and follow-up cardiovascular magnetic resonance (CMR), taking into account the impact of microvascular obstruction (MVO) and using automated extracellular volume fraction (ECV) maps for reference. Furthermore, their performances on the acute scan were compared against manual myocardial infarct (MI) size to predict adverse left ventricular (LV) remodelling (≥20% increase in end-diastolic volume). Methods 40 patients with reperfused ST segment elevation myocardial infarction (STEMI) with a paired acute (4±2 days) and follow-up CMR scan (5±2 months) were recruited prospectively. All CMR analysis was performed on CVI42. Results Using manual MI size as the reference standard, 6-SD accurately quantified acute (24.9±14.0%LV, p=0.81, no bias) and chronic MI size (17.2±9.7%LV, p=0.88, no bias). The performance of FWHM for acute MI size was affected by the acquisition sequence used. Furthermore, FWHM underestimated chronic MI size in those with previous MVO due to the significantly higher ECV in the MI core on the follow-up scans previously occupied by MVO (82 (75–88)% vs 62 (51–68)%, p<0.001). 5-SD and Otsu were precise but overestimated acute and chronic MI size. All techniques were performed with high diagnostic accuracy and equally well to predict adverse LV remodelling. Conclusions 6-SD was the most accurate for acute and chronic MI size and should be the preferred semiautomatic technique in randomised controlled trials. However, 5-SD, FWHM and Otsu could also be used when precise MI size quantification may be adequate (eg, observational studies).
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Affiliation(s)
- Heerajnarain Bulluck
- The Hatter Cardiovascular Institute, Institute of Cardiovascular Science, University College London, London, UK; The National Institute of Health Research University College London Hospitals Biomedical Research Centre, London, UK; Cardiovascular and Metabolic Disorders Program, Duke-National University of Singapore, Singapore, Singapore; National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
| | | | | | - Anish N Bhuva
- Barts Heart Centre, St Bartholomew's Hospital , London , UK
| | | | - Marianna Fontana
- The National Institute of Health Research University College London Hospitals Biomedical Research Centre, London, UK; National Amyloidosis Centre, University College London, Royal Free Hospital, London, UK
| | - Shane Weinmann
- The Hatter Cardiovascular Institute, Institute of Cardiovascular Science, University College London , London , UK
| | - Alex Sirker
- The National Institute of Health Research University College London Hospitals Biomedical Research Centre, London, UK; Barts Heart Centre, St Bartholomew's Hospital, London, UK
| | - Anna S Herrey
- Barts Heart Centre, St Bartholomew's Hospital , London , UK
| | - Charlotte Manisty
- The National Institute of Health Research University College London Hospitals Biomedical Research Centre, London, UK; Barts Heart Centre, St Bartholomew's Hospital, London, UK
| | - James C Moon
- The National Institute of Health Research University College London Hospitals Biomedical Research Centre, London, UK; Barts Heart Centre, St Bartholomew's Hospital, London, UK
| | - Derek J Hausenloy
- The Hatter Cardiovascular Institute, Institute of Cardiovascular Science, University College London, London, UK; The National Institute of Health Research University College London Hospitals Biomedical Research Centre, London, UK; Cardiovascular and Metabolic Disorders Program, Duke-National University of Singapore, Singapore, Singapore; National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
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Verouhis D, Sörensson P, Gourine A, Henareh L, Persson J, Saleh N, Settergren M, Sundqvist M, Tornvall P, Witt N, Böhm F, Pernow J. Effect of remote ischemic conditioning on infarct size in patients with anterior ST-elevation myocardial infarction. Am Heart J 2016; 181:66-73. [PMID: 27823695 DOI: 10.1016/j.ahj.2016.08.004] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Accepted: 08/12/2016] [Indexed: 01/05/2023]
Abstract
BACKGROUND Previous studies indicate that remote ischemic conditioning performed before percutaneous coronary intervention (PCI) reduces infarct size in patients with ST-elevation myocardial infarction (STEMI). It remains unclear whether remote conditioning affords protection when performed in adjunct to primary PCI. We aimed to study whether remote ischemic per-postconditioning (RIperpostC) initiated after admission to the catheterization laboratory attenuates myocardial infarct size in patients with anterior STEMI. METHODS In this prospective multicenter trial 93 patients with anterior STEMI were randomized to RIperpostC or sham procedure as adjunct to primary PCI. RIperpostC was started on arrival in the catheterization laboratory by 5-minute cycles of inflation and deflation of a blood pressure cuff around the left thigh and continued throughout the PCI procedure. Infarct size and myocardium at risk were determined by cardiac magnetic resonance at day 4 to 7. The primary outcome was myocardial salvage index. RESULTS There was no significant difference in myocardial salvage index between the RIperpostC and control group (median 48.5% and interquartile range 30.9%-60.8% vs 49.2% [42.1%-58.8%]). Neither did absolute infarct size in relation to left ventricular myocardial volume differ significantly (RIperpostC 20.6% [14.1%-31.7%] vs control 17.9% [13.4%-25.0%]). The RIperpostC group had larger myocardial area at risk than the control group (43.1% (35.4%-49.7%) vs 37.0% (30.8%-44.1%) of the left ventricle, P=.03). Peak value and area under the curve for troponin T did not differ significantly between the study groups. CONCLUSIONS RIperpostC initiated after admission to the catheterization laboratory in patients with anterior STEMI did not confer protection against reperfusion injury.
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Swoboda PP, McDiarmid AK, Erhayiem B, Haaf P, Kidambi A, Fent GJ, Dobson LE, Musa TA, Garg P, Law GR, Kearney MT, Barth JH, Ajjan R, Greenwood JP, Plein S. A Novel and Practical Screening Tool for the Detection of Silent Myocardial Infarction in Patients With Type 2 Diabetes. J Clin Endocrinol Metab 2016; 101:3316-23. [PMID: 27300573 PMCID: PMC5377587 DOI: 10.1210/jc.2016-1318] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Silent myocardial infarction (MI) is a prevalent finding in patients with type 2 diabetes and is associated with significant mortality and morbidity. Late gadolinium enhancement (LGE) by cardiovascular magnetic resonance (CMR) is the most validated technique for detection of silent MI, but is time-consuming, costly, and requires administration of intravenous contrast. We therefore planned to develop a simple and low-cost population screening tool to identify those at highest risk of silent MI validated against the CMR reference standard. METHODS A total of 100 asymptomatic patients with type 2 diabetes underwent electrocardiogram (ECG), echocardiography, biomarker assessment, and CMR at 3.0T including assessment of left ventricular ejection fraction and LGE. Global longitudinal strain from two- and four-chamber cines was measured using feature tracking. RESULTS A total of 17/100 patients with no history of cardiovascular disease had silent MI defined by LGE in an infarct pattern on CMR. Only four patients with silent MI had Q waves on ECG. Patients with silent MI were older (65 vs 60, P = .05), had lower E/A ratio (0.75 vs 0.89, P = .004), lower GLS (-15.2% vs -17.7%, P = .004), and higher amino-terminal pro brain natriuretic peptide (106 ng/L vs 52 ng/L, P = .003). A combined risk score derived from these four factors had an area under the receiver operating characteristic curve of 0.823 (0.734-0.892), P < .0001. A score of more than 3/5 had 82% sensitivity and 72% specificity for silent MI. CONCLUSIONS Using measures that can be derived in an outpatient clinic setting, we have developed a novel screening tool for the detection of silent MI in type 2 diabetes. The screening tool had significantly superior diagnostic accuracy than current ECG criteria for the detection of silent MI in asymptomatic patients.
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Affiliation(s)
- Peter P Swoboda
- Multidisciplinary Cardiovascular Research Centre & Leeds Institute of Cardiovascular and Metabolic Medicine (P.P.S., A.K.M., B.E., P.H., A.K., G.J.F., L.E.D., T.A.M., P.G., M.T.K., R.A., J.P.G., S.P.), University of Leeds, Leeds, United Kingdom; Leeds Teaching Hospitals NHS Trust (A.K., J.H.B.), Leeds, United Kingdom; Division of Epidemiology and Biostatistics (G.R.L.), Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Adam K McDiarmid
- Multidisciplinary Cardiovascular Research Centre & Leeds Institute of Cardiovascular and Metabolic Medicine (P.P.S., A.K.M., B.E., P.H., A.K., G.J.F., L.E.D., T.A.M., P.G., M.T.K., R.A., J.P.G., S.P.), University of Leeds, Leeds, United Kingdom; Leeds Teaching Hospitals NHS Trust (A.K., J.H.B.), Leeds, United Kingdom; Division of Epidemiology and Biostatistics (G.R.L.), Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Bara Erhayiem
- Multidisciplinary Cardiovascular Research Centre & Leeds Institute of Cardiovascular and Metabolic Medicine (P.P.S., A.K.M., B.E., P.H., A.K., G.J.F., L.E.D., T.A.M., P.G., M.T.K., R.A., J.P.G., S.P.), University of Leeds, Leeds, United Kingdom; Leeds Teaching Hospitals NHS Trust (A.K., J.H.B.), Leeds, United Kingdom; Division of Epidemiology and Biostatistics (G.R.L.), Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Philip Haaf
- Multidisciplinary Cardiovascular Research Centre & Leeds Institute of Cardiovascular and Metabolic Medicine (P.P.S., A.K.M., B.E., P.H., A.K., G.J.F., L.E.D., T.A.M., P.G., M.T.K., R.A., J.P.G., S.P.), University of Leeds, Leeds, United Kingdom; Leeds Teaching Hospitals NHS Trust (A.K., J.H.B.), Leeds, United Kingdom; Division of Epidemiology and Biostatistics (G.R.L.), Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Ananth Kidambi
- Multidisciplinary Cardiovascular Research Centre & Leeds Institute of Cardiovascular and Metabolic Medicine (P.P.S., A.K.M., B.E., P.H., A.K., G.J.F., L.E.D., T.A.M., P.G., M.T.K., R.A., J.P.G., S.P.), University of Leeds, Leeds, United Kingdom; Leeds Teaching Hospitals NHS Trust (A.K., J.H.B.), Leeds, United Kingdom; Division of Epidemiology and Biostatistics (G.R.L.), Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Graham J Fent
- Multidisciplinary Cardiovascular Research Centre & Leeds Institute of Cardiovascular and Metabolic Medicine (P.P.S., A.K.M., B.E., P.H., A.K., G.J.F., L.E.D., T.A.M., P.G., M.T.K., R.A., J.P.G., S.P.), University of Leeds, Leeds, United Kingdom; Leeds Teaching Hospitals NHS Trust (A.K., J.H.B.), Leeds, United Kingdom; Division of Epidemiology and Biostatistics (G.R.L.), Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Laura E Dobson
- Multidisciplinary Cardiovascular Research Centre & Leeds Institute of Cardiovascular and Metabolic Medicine (P.P.S., A.K.M., B.E., P.H., A.K., G.J.F., L.E.D., T.A.M., P.G., M.T.K., R.A., J.P.G., S.P.), University of Leeds, Leeds, United Kingdom; Leeds Teaching Hospitals NHS Trust (A.K., J.H.B.), Leeds, United Kingdom; Division of Epidemiology and Biostatistics (G.R.L.), Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Tarique A Musa
- Multidisciplinary Cardiovascular Research Centre & Leeds Institute of Cardiovascular and Metabolic Medicine (P.P.S., A.K.M., B.E., P.H., A.K., G.J.F., L.E.D., T.A.M., P.G., M.T.K., R.A., J.P.G., S.P.), University of Leeds, Leeds, United Kingdom; Leeds Teaching Hospitals NHS Trust (A.K., J.H.B.), Leeds, United Kingdom; Division of Epidemiology and Biostatistics (G.R.L.), Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Pankaj Garg
- Multidisciplinary Cardiovascular Research Centre & Leeds Institute of Cardiovascular and Metabolic Medicine (P.P.S., A.K.M., B.E., P.H., A.K., G.J.F., L.E.D., T.A.M., P.G., M.T.K., R.A., J.P.G., S.P.), University of Leeds, Leeds, United Kingdom; Leeds Teaching Hospitals NHS Trust (A.K., J.H.B.), Leeds, United Kingdom; Division of Epidemiology and Biostatistics (G.R.L.), Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Graham R Law
- Multidisciplinary Cardiovascular Research Centre & Leeds Institute of Cardiovascular and Metabolic Medicine (P.P.S., A.K.M., B.E., P.H., A.K., G.J.F., L.E.D., T.A.M., P.G., M.T.K., R.A., J.P.G., S.P.), University of Leeds, Leeds, United Kingdom; Leeds Teaching Hospitals NHS Trust (A.K., J.H.B.), Leeds, United Kingdom; Division of Epidemiology and Biostatistics (G.R.L.), Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Mark T Kearney
- Multidisciplinary Cardiovascular Research Centre & Leeds Institute of Cardiovascular and Metabolic Medicine (P.P.S., A.K.M., B.E., P.H., A.K., G.J.F., L.E.D., T.A.M., P.G., M.T.K., R.A., J.P.G., S.P.), University of Leeds, Leeds, United Kingdom; Leeds Teaching Hospitals NHS Trust (A.K., J.H.B.), Leeds, United Kingdom; Division of Epidemiology and Biostatistics (G.R.L.), Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Julian H Barth
- Multidisciplinary Cardiovascular Research Centre & Leeds Institute of Cardiovascular and Metabolic Medicine (P.P.S., A.K.M., B.E., P.H., A.K., G.J.F., L.E.D., T.A.M., P.G., M.T.K., R.A., J.P.G., S.P.), University of Leeds, Leeds, United Kingdom; Leeds Teaching Hospitals NHS Trust (A.K., J.H.B.), Leeds, United Kingdom; Division of Epidemiology and Biostatistics (G.R.L.), Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Ramzi Ajjan
- Multidisciplinary Cardiovascular Research Centre & Leeds Institute of Cardiovascular and Metabolic Medicine (P.P.S., A.K.M., B.E., P.H., A.K., G.J.F., L.E.D., T.A.M., P.G., M.T.K., R.A., J.P.G., S.P.), University of Leeds, Leeds, United Kingdom; Leeds Teaching Hospitals NHS Trust (A.K., J.H.B.), Leeds, United Kingdom; Division of Epidemiology and Biostatistics (G.R.L.), Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - John P Greenwood
- Multidisciplinary Cardiovascular Research Centre & Leeds Institute of Cardiovascular and Metabolic Medicine (P.P.S., A.K.M., B.E., P.H., A.K., G.J.F., L.E.D., T.A.M., P.G., M.T.K., R.A., J.P.G., S.P.), University of Leeds, Leeds, United Kingdom; Leeds Teaching Hospitals NHS Trust (A.K., J.H.B.), Leeds, United Kingdom; Division of Epidemiology and Biostatistics (G.R.L.), Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Sven Plein
- Multidisciplinary Cardiovascular Research Centre & Leeds Institute of Cardiovascular and Metabolic Medicine (P.P.S., A.K.M., B.E., P.H., A.K., G.J.F., L.E.D., T.A.M., P.G., M.T.K., R.A., J.P.G., S.P.), University of Leeds, Leeds, United Kingdom; Leeds Teaching Hospitals NHS Trust (A.K., J.H.B.), Leeds, United Kingdom; Division of Epidemiology and Biostatistics (G.R.L.), Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
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Radunski UK, Lund GK, Säring D, Bohnen S, Stehning C, Schnackenburg B, Avanesov M, Tahir E, Adam G, Blankenberg S, Muellerleile K. T1 and T2 mapping cardiovascular magnetic resonance imaging techniques reveal unapparent myocardial injury in patients with myocarditis. Clin Res Cardiol 2016; 106:10-17. [DOI: 10.1007/s00392-016-1018-5] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2016] [Accepted: 06/30/2016] [Indexed: 12/20/2022]
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Zhang L, Huttin O, Marie PY, Felblinger J, Beaumont M, Chillou CDE, Girerd N, Mandry D. Myocardial infarct sizing by late gadolinium-enhanced MRI: Comparison of manual, full-width at half-maximum, and n-standard deviation methods. J Magn Reson Imaging 2016; 44:1206-1217. [PMID: 27096741 DOI: 10.1002/jmri.25285] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Accepted: 03/31/2016] [Indexed: 11/11/2022] Open
Abstract
PURPOSE To compare three widely used methods for myocardial infarct (MI) sizing on late gadolinium-enhanced (LGE) magnetic resonance (MR) images: manual delineation and two semiautomated techniques (full-width at half-maximum [FWHM] and n-standard deviation [SD]). MATERIALS AND METHODS 3T phase-sensitive inversion-recovery (PSIR) LGE images of 114 patients after an acute MI (2-4 days and 6 months) were analyzed by two independent observers to determine both total and core infarct sizes (TIS/CIS). Manual delineation served as the reference for determination of optimal thresholds for semiautomated methods after thresholding at multiple values. Reproducibility and accuracy were expressed as overall bias ± 95% limits of agreement. RESULTS Mean infarct sizes by manual methods were 39.0%/24.4% for the acute MI group (TIS/CIS) and 29.7%/17.3% for the chronic MI group. The optimal thresholds (ie, providing the closest mean value to the manual method) were FWHM30% and 3SD for the TIS measurement and FWHM45% and 6SD for the CIS measurement (paired t-test; all P > 0.05). The best reproducibility was obtained using FWHM. For TIS measurement in the acute MI group, intra-/interobserver agreements, from Bland-Altman analysis, with FWHM30%, 3SD, and manual were -0.02 ± 7.74%/-0.74 ± 5.52%, 0.31 ± 9.78%/2.96 ± 16.62% and -2.12 ± 8.86%/0.18 ± 16.12, respectively; in the chronic MI group, the corresponding values were 0.23 ± 3.5%/-2.28 ± 15.06, -0.29 ± 10.46%/3.12 ± 13.06% and 1.68 ± 6.52%/-2.88 ± 9.62%, respectively. A similar trend for reproducibility was obtained for CIS measurement. However, semiautomated methods produced inconsistent results (variabilities of 24-46%) compared to manual delineation. CONCLUSION The FWHM technique was the most reproducible method for infarct sizing both in acute and chronic MI. However, both FWHM and n-SD methods showed limited accuracy compared to manual delineation. J. Magn. Reson. Imaging 2016;44:1206-1217.
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Affiliation(s)
- Lin Zhang
- INSERM, U947, IADI, Nancy, F-54000, France.,Université de Lorraine, Nancy, F-54000, France
| | - Olivier Huttin
- CHRU Nancy, Departement de Cardiologie, Nancy, F-54000, France
| | - Pierre-Yves Marie
- Université de Lorraine, Nancy, F-54000, France.,INSERM, U961, Nancy, F-54000, France.,CHRU Nancy, Pôle Imagerie, Nancy, F-54000, France
| | - Jacques Felblinger
- INSERM, U947, IADI, Nancy, F-54000, France.,Université de Lorraine, Nancy, F-54000, France.,CHRU Nancy, Pôle Imagerie, Nancy, F-54000, France.,INSERM, CIC-IT 1433, Nancy, F-54000, France
| | - Marine Beaumont
- INSERM, U947, IADI, Nancy, F-54000, France.,INSERM, CIC-IT 1433, Nancy, F-54000, France
| | - Christian DE Chillou
- INSERM, U947, IADI, Nancy, F-54000, France.,Université de Lorraine, Nancy, F-54000, France.,CHRU Nancy, Departement de Cardiologie, Nancy, F-54000, France
| | - Nicolas Girerd
- Université de Lorraine, Nancy, F-54000, France.,CHRU Nancy, Departement de Cardiologie, Nancy, F-54000, France.,INSERM, CIC-P 9501, Nancy, F-54000, France
| | - Damien Mandry
- INSERM, U947, IADI, Nancy, F-54000, France. .,Université de Lorraine, Nancy, F-54000, France. .,CHRU Nancy, Pôle Imagerie, Nancy, F-54000, France.
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Bulluck H, Fröhlich GM, Mohdnazri S, Gamma RA, Davies JR, Clesham GJ, Sayer JW, Aggarwal RK, Tang KH, Kelly PA, Jagathesan R, Kabir A, Robinson NM, Sirker A, Mathur A, Blackman DJ, Ariti C, Krishnamurthy A, White SK, Meier P, Moon JC, Greenwood JP, Hausenloy DJ. Mineralocorticoid receptor antagonist pretreatment to MINIMISE reperfusion injury after ST-elevation myocardial infarction (the MINIMISE STEMI Trial): rationale and study design. Clin Cardiol 2016; 38:259-66. [PMID: 25990305 PMCID: PMC4489325 DOI: 10.1002/clc.22401] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2014] [Revised: 01/29/2015] [Accepted: 02/01/2015] [Indexed: 01/08/2023] Open
Abstract
Novel therapies capable of reducing myocardial infarct (MI) size when administered prior to reperfusion are required to prevent the onset of heart failure in ST‐segment elevation myocardial infarction (STEMI) patients treated by primary percutaneous coronary intervention (PPCI). Experimental animal studies have demonstrated that mineralocorticoid receptor antagonist (MRA) therapy administered prior to reperfusion can reduce MI size, and MRA therapy prevents adverse left ventricular (LV) remodeling in post‐MI patients with LV impairment. With these 2 benefits in mind, we hypothesize that initiating MRA therapy prior to PPCI, followed by 3 months of oral MRA therapy, will reduce MI size and prevent adverse LV remodeling in STEMI patients. The MINIMISE‐STEMI trial is a prospective, randomized, double‐blind, placebo‐controlled trial that will recruit 150 STEMI patients from four centers in the United Kingdom. Patients will be randomized to receive either an intravenous bolus of MRA therapy (potassium canrenoate 200 mg) or matching placebo prior to PPCI, followed by oral spironolactone 50 mg once daily or matching placebo for 3 months. A cardiac magnetic resonance imaging scan will be performed within 1 week of PPCI and repeated at 3 months to assess MI size and LV remodeling. Enzymatic MI size will be estimated by the 48‐hour area‐under‐the‐curve serum cardiac enzymes. The primary endpoint of the study will be MI size on the 3‐month cardiac magnetic resonance imaging scan. The MINIMISE STEMI trial will investigate whether early MRA therapy, initiated prior to reperfusion, can reduce MI size and prevent adverse post‐MI LV remodeling.
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Affiliation(s)
- Heerajnarain Bulluck
- Department of Cardiology, Heart Hospital, London, United Kingdom.,National Institute of Health Research, University College London Hospitals Biomedical Research Centre, London, United Kingdom.,Hatter Cardiovascular Institute, Institute of Cardiovascular Science, London, United Kingdom
| | - Georg M Fröhlich
- Department of Cardiology, Leeds General Infirmary, Leeds, United Kingdom.,Department of Cardiology, Essex Cardiothoracic Center, Nethermayne, Basildon, United Kingdom
| | - Shah Mohdnazri
- Department of Cardiology, Essex Cardiothoracic Center, Nethermayne, Basildon, United Kingdom
| | - Reto A Gamma
- Department of Cardiology, Essex Cardiothoracic Center, Nethermayne, Basildon, United Kingdom
| | - John R Davies
- Department of Cardiology, Essex Cardiothoracic Center, Nethermayne, Basildon, United Kingdom
| | - Gerald J Clesham
- Department of Cardiology, Essex Cardiothoracic Center, Nethermayne, Basildon, United Kingdom
| | - Jeremy W Sayer
- Department of Cardiology, Essex Cardiothoracic Center, Nethermayne, Basildon, United Kingdom
| | - Rajesh K Aggarwal
- Department of Cardiology, Essex Cardiothoracic Center, Nethermayne, Basildon, United Kingdom
| | - Kare H Tang
- Department of Cardiology, Essex Cardiothoracic Center, Nethermayne, Basildon, United Kingdom
| | - Paul A Kelly
- Department of Cardiology, Essex Cardiothoracic Center, Nethermayne, Basildon, United Kingdom
| | - Rohan Jagathesan
- Department of Cardiology, Essex Cardiothoracic Center, Nethermayne, Basildon, United Kingdom
| | - Alamgir Kabir
- Department of Cardiology, Essex Cardiothoracic Center, Nethermayne, Basildon, United Kingdom
| | - Nicholas M Robinson
- Department of Cardiology, Essex Cardiothoracic Center, Nethermayne, Basildon, United Kingdom
| | - Alex Sirker
- Department of Cardiology, Heart Hospital, London, United Kingdom
| | - Anthony Mathur
- London Department of Cardiology, Chest Hospital, London, United Kingdom
| | - Daniel J Blackman
- Department of Cardiology, Leeds General Infirmary, Leeds, United Kingdom
| | - Cono Ariti
- Nuffield Health Trust, London, United Kingdom.,London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | - Steven K White
- Department of Cardiology, Heart Hospital, London, United Kingdom.,National Institute of Health Research, University College London Hospitals Biomedical Research Centre, London, United Kingdom.,Hatter Cardiovascular Institute, Institute of Cardiovascular Science, London, United Kingdom
| | - Pascal Meier
- Department of Cardiology, Heart Hospital, London, United Kingdom
| | - James C Moon
- Department of Cardiology, Heart Hospital, London, United Kingdom.,National Institute of Health Research, University College London Hospitals Biomedical Research Centre, London, United Kingdom
| | - John P Greenwood
- Department of Cardiology, Leeds General Infirmary, Leeds, United Kingdom
| | - Derek J Hausenloy
- National Institute of Health Research, University College London Hospitals Biomedical Research Centre, London, United Kingdom.,Hatter Cardiovascular Institute, Institute of Cardiovascular Science, London, United Kingdom.,Cardiovascular and Metabolic Disorders Program, Duke-National University of Singapore, Singapore.,National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore
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Relationship of basal-septal fibrosis with LV outflow tract obstruction in hypertrophic cardiomyopathy: insights from cardiac magnetic resonance analysis. Int J Cardiovasc Imaging 2015; 32:613-20. [PMID: 26589516 DOI: 10.1007/s10554-015-0806-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2015] [Accepted: 11/15/2015] [Indexed: 01/20/2023]
Abstract
Myocardial fibrosis is frequently observed and may be associated with the prognosis in patients with hypertrophic cardiomyopathy (HCM); however, the clinical pathophysiological features, particularly in terms of fibrosis, of hypertrophic obstructive cardiomyopathy (HOCM) remain unclear. This study aimed to determine a role of local fibrosis in HOCM using cardiac magnetic resonance (CMR). 108 consecutive HCM patients underwent CMR. HOCM was defined as a left ventricular outflow tract (LVOT) pressure gradient ≥30 mmHg at rest. Myocardial mass and fibrosis mass by late gadolinium-enhancement CMR (LGE-CMR) were calculated and the distribution/pattern was analyzed using the AHA 17-segment model. LV ejection fraction (LVEF) was significantly higher in patients with HOCM (n = 19) than in those with nonobstructive HCM (n = 89) (P < 0.05). Both total myocardial and fibrosis masses in LV were similar in the two groups (P = 0.385 and P = 0.859, respectively). However, fibrosis in the basal septum was significantly less frequent in the HOCM group than in the nonobstructive HCM group (P < 0.01). The LVOT pressure gradient was significantly higher in the basal-septal non-fibrosis group than in the fibrosis group (23.6 ± 37.3 vs. 4.8 ± 11.4 mmHg, P < 0.01). Multivariate analysis revealed that basal-septal fibrosis was an independent negative predictor of LVOT obstruction in addition to the local wall thickness and LVEF as positive predictors in HCM patients. In conclusion, a significant association was observed between LVOT obstruction and basal septal fibrosis by LGE-CMR in HCM patients. In addition to negative impact of basal-septal fibrosis, basal-septal hypertrophy and preserved global LV contractility may be associated with the pathophysiological features of LVOT obstruction.
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Lenkey Z, Varga-Szemes A, Simor T, van der Geest RJ, Kirschner R, Toth L, Bodnar T, Brott BC, Elgavish A, Elgavish GA. Age-independent myocardial infarct quantification by signal intensity percent infarct mapping in swine. J Magn Reson Imaging 2015; 43:911-20. [PMID: 26354594 DOI: 10.1002/jmri.25046] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2015] [Accepted: 08/25/2015] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To test whether signal intensity percent infarct mapping (SI-PIM) accurately determines the size of myocardial infarct (MI) regardless of infarct age. MATERIALS AND METHODS Forty-five swine with reperfused MI underwent 1.5T late gadolinium enhancement (LGE) magnetic resonance imaging (MRI) after bolus injection of 0.2 mmol/kg Gd(DTPA) on days 2-62 following MI. Animals were classified into acute, healing, and healed groups by pathology. Infarct volume (IV) and infarct fraction (IF) were determined by two readers, using binary techniques (including 2-5 standard deviations [SD] above the remote, and full-width at half-maximum) and the SI-PIM method. Triphenyl-tetrazolium-chloride staining (TTC) was performed as reference. Bias (percent under/overestimation of IV relative to TTC) of each quantification method was calculated. Bland-Altman analysis was done to test the accuracy of the quantification methods, while intraclass correlation coefficient (ICC) analysis was done to assess intra- and interobserver agreement. RESULTS Bias of the MRI quantification methods do not depend on the age of the MI. Full-width at half-maximum (FWHM) and SI-PIM gave the best estimate of MI volume determined by the reference TTC (P-values for the FWHM and SI-PIM methods were 0.183, 0.26, 0.95, and 0.073, 0.091, 0.73 in Group 1, Group 2, and Group 3, respectively), while using any of the binary thresholds of 2-4 SDs above the remote myocardium showed significant overestimation. The 5 SD method, however, provided similar IV compared to TTC and was shown to be independent of the size and age of MI. ICC analysis showed excellent inter- and intraobserver agreement between the readers. CONCLUSION Our results indicate that the SI-PIM method can accurately determine MI volume regardless of the pathological stage of MI. Once tested, it may prove to be useful for the clinic.
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Affiliation(s)
- Zsofia Lenkey
- Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA.,Elgavish Paramagnetics Inc, Birmingham, Alabama, USA.,Medical School, University of Pecs, Hungary
| | - Akos Varga-Szemes
- Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA.,Elgavish Paramagnetics Inc, Birmingham, Alabama, USA
| | - Tamas Simor
- Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA.,Elgavish Paramagnetics Inc, Birmingham, Alabama, USA.,Medical School, University of Pecs, Hungary
| | - Rob J van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Robert Kirschner
- Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA.,Elgavish Paramagnetics Inc, Birmingham, Alabama, USA
| | - Levente Toth
- Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA.,Elgavish Paramagnetics Inc, Birmingham, Alabama, USA
| | - Tamas Bodnar
- Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA.,Elgavish Paramagnetics Inc, Birmingham, Alabama, USA
| | - Brigitta C Brott
- Department of Medicine, Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Ada Elgavish
- Elgavish Paramagnetics Inc, Birmingham, Alabama, USA.,Department of Medicine, Division of Clinical Immunology & Rheumatology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Gabriel A Elgavish
- Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA.,Elgavish Paramagnetics Inc, Birmingham, Alabama, USA
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Bulluck H, White SK, Rosmini S, Bhuva A, Treibel TA, Fontana M, Abdel-Gadir A, Herrey A, Manisty C, Wan SMY, Groves A, Menezes L, Moon JC, Hausenloy DJ. T1 mapping and T2 mapping at 3T for quantifying the area-at-risk in reperfused STEMI patients. J Cardiovasc Magn Reson 2015; 17:73. [PMID: 26264813 PMCID: PMC4534126 DOI: 10.1186/s12968-015-0173-6] [Citation(s) in RCA: 63] [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: 04/14/2015] [Accepted: 07/16/2015] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Whether T1-mapping cardiovascular magnetic resonance (CMR) can accurately quantify the area-at-risk (AAR) as delineated by T2 mapping and assess myocardial salvage at 3T in reperfused ST-segment elevation myocardial infarction (STEMI) patients is not known and was investigated in this study. METHODS 18 STEMI patients underwent CMR at 3T (Siemens Bio-graph mMR) at a median of 5 (4-6) days post primary percutaneous coronary intervention using native T1 (MOLLI) and T2 mapping (WIP #699; Siemens Healthcare, UK). Matching short-axis T1 and T2 maps covering the entire left ventricle (LV) were assessed by two independent observers using manual, Otsu and 2 standard deviation thresholds. Inter- and intra-observer variability, correlation and agreement between the T1 and T2 mapping techniques on a per-slice and per patient basis were assessed. RESULTS A total of 125 matching T1 and T2 mapping short-axis slices were available for analysis from 18 patients. The acquisition times were identical for the T1 maps and T2 maps. 18 slices were excluded due to suboptimal image quality. Both mapping sequences were equally prone to susceptibility artifacts in the lateral wall and were equally likely to be affected by microvascular obstruction requiring manual correction. The Otsu thresholding technique performed best in terms of inter- and intra-observer variability for both T1 and T2 mapping CMR. The mean myocardial infarct size was 18.8 ± 9.4 % of the LV. There was no difference in either the mean AAR (32.3 ± 11.5 % of the LV versus 31.6 ± 11.2 % of the LV, P = 0.25) or myocardial salvage index (0.40 ± 0.26 versus 0.39 ± 0.27, P = 0.20) between the T1 and T2 mapping techniques. On a per-slice analysis, there was an excellent correlation between T1 mapping and T2 mapping in the quantification of the AAR with an R(2) of 0.95 (P < 0.001), with no bias (mean ± 2SD: bias 0.0 ± 9.6 %). On a per-patient analysis, the correlation and agreement remained excellent with no bias (R(2) 0.95, P < 0.0001, bias 0.7 ± 5.1 %). CONCLUSIONS T1 mapping CMR at 3T performed as well as T2 mapping in quantifying the AAR and assessing myocardial salvage in reperfused STEMI patients, thereby providing an alternative CMR measure of the the AAR.
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Affiliation(s)
- Heerajnarain Bulluck
- The Hatter Cardiovascular Institute, Institute of Cardiovascular Science, University College London, London, WC1E 6HX, UK.
- The National Institute of Health Research University College London Hospitals Biomedical Research Centre, London, UK.
- The Heart Hospital, University College London Hospital, London, UK.
| | - Steven K White
- The Hatter Cardiovascular Institute, Institute of Cardiovascular Science, University College London, London, WC1E 6HX, UK.
- The National Institute of Health Research University College London Hospitals Biomedical Research Centre, London, UK.
- The Heart Hospital, University College London Hospital, London, UK.
| | - Stefania Rosmini
- The Heart Hospital, University College London Hospital, London, UK.
| | - Anish Bhuva
- The Heart Hospital, University College London Hospital, London, UK.
| | - Thomas A Treibel
- The Heart Hospital, University College London Hospital, London, UK.
| | - Marianna Fontana
- The Heart Hospital, University College London Hospital, London, UK.
| | - Amna Abdel-Gadir
- The Heart Hospital, University College London Hospital, London, UK.
| | - Anna Herrey
- The Heart Hospital, University College London Hospital, London, UK.
| | | | - Simon M Y Wan
- UCL Institute of Nuclear Medicine, University College London Hospital, London, UK.
| | - Ashley Groves
- UCL Institute of Nuclear Medicine, University College London Hospital, London, UK.
| | - Leon Menezes
- UCL Institute of Nuclear Medicine, University College London Hospital, London, UK.
| | - James C Moon
- The National Institute of Health Research University College London Hospitals Biomedical Research Centre, London, UK.
- The Heart Hospital, University College London Hospital, London, UK.
| | - Derek J Hausenloy
- The Hatter Cardiovascular Institute, Institute of Cardiovascular Science, University College London, London, WC1E 6HX, UK.
- The National Institute of Health Research University College London Hospitals Biomedical Research Centre, London, UK.
- The Heart Hospital, University College London Hospital, London, UK.
- Cardiovascular and Metabolic Disorders Program, Duke-National University of Singapore, Singapore, Singapore.
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore.
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Boag SE, Das R, Shmeleva EV, Bagnall A, Egred M, Howard N, Bennaceur K, Zaman A, Keavney B, Spyridopoulos I. T lymphocytes and fractalkine contribute to myocardial ischemia/reperfusion injury in patients. J Clin Invest 2015; 125:3063-76. [PMID: 26168217 DOI: 10.1172/jci80055] [Citation(s) in RCA: 109] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2014] [Accepted: 05/28/2015] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Lymphocytes contribute to ischemia/reperfusion (I/R) injury in several organ systems, but their relevance in ST elevation myocardial infarction (STEMI) is unknown. Our goal was to characterize lymphocyte dynamics in individuals after primary percutaneous coronary intervention (PPCI), assess the prognostic relevance of these cells, and explore mechanisms of lymphocyte-associated injury. METHODS Lymphocyte counts were retrospectively analyzed in 1,377 STEMI patients, and the prognostic relevance of post-PPCI lymphopenia was assessed by Cox proportional hazards regression. Blood from 59 prospectively recruited STEMI patients undergoing PPCI was sampled, and leukocyte subpopulations were quantified. Microvascular obstruction (MVO), a component of I/R injury, was assessed using MRI. RESULTS In the retrospective cohort, lymphopenia was associated with a lower rate of survival at 3 years (82.8% vs. 96.3%, lowest vs. highest tertile; hazard ratio 2.42). In the prospective cohort, lymphocyte counts fell 90 minutes after reperfusion, primarily due to loss of T cells. CD8+ T cells decreased more than CD4+ T cells, and effector subsets exhibited the largest decline. The early decrease in effector T cell levels was greater in individuals that developed substantial MVO. The drop in T cell subsets correlated with expression of the fractalkine receptor CX3CR1 (r2 = 0.99, P = 0.006). Serum fractalkine concentration peaked at 90 minutes after reperfusion, coinciding with the T cell count nadir. CONCLUSIONS Lymphopenia following PPCI is associated with poor prognosis. Our data suggest that fractalkine contributes to lymphocyte shifts, which may influence development of MVO through the action of effector T cells. TRIAL REGISTRATION Not applicable. FUNDING British Heart Foundation (FS/12/31/29533) and National Institute of Health Research (NIHR) Newcastle Biomedical Research Centre.
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Nensa F, Poeppel T, Tezgah E, Heusch P, Nassenstein K, Mahabadi AA, Forsting M, Bockisch A, Erbel R, Heusch G, Schlosser T. Integrated FDG PET/MR Imaging for the Assessment of Myocardial Salvage in Reperfused Acute Myocardial Infarction. Radiology 2015; 276:400-7. [PMID: 25848898 DOI: 10.1148/radiol.2015140564] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
PURPOSE To compare the size of the area with reduced myocardial fluorodeoxygluose (FDG) uptake with the endocardial surface area (ESA) method as a marker for the area at risk in patients with reperfused acute myocardial infarction. MATERIALS AND METHODS The study was approved by the local institutional review board. All patients gave written informed consent prior to their examination. Twenty-five patients (mean age ± standard deviation, 54 years ± 14) underwent prospective cardiac positron emission tomography/magnetic resonance imaging after acute coronary occlusion and interventional reperfusion. On late gadolinium contrast enhancement images, the size of infarction and the area at risk, as determined with ESA, were assessed and compared with the area of reduced FDG uptake. Statistical analysis comprised paired t tests and Mann-Whitney U tests, as well as Pearson r and Spearman ρ for correlations. RESULTS In patients with infarcted myocardium and reduced FDG uptake (n = 18), a good correlation between the area of reduced FDG uptake and the area at risk according to ESA was observed (r = .70, P = .001). The area of reduced FDG uptake (31% ± 11 of left ventricular myocardial mass) was larger than the size of the infarct (10% ± 10, P < .0001) and the area at risk according to ESA (17% ± 13, P < .0001). In six patients, no late contrast enhancement was seen, whereas all patients had an area of reduced FDG uptake (29% ± 8) in the perfusion territory of the culprit artery. CONCLUSION In patients with reperfused acute myocardial infarction, the area of reduced FDG uptake correlates with the area at risk as determined with the ESA method and is localized in the perfusion territory of the culprit artery in the absence of necrosis, although the area of reduced FDG uptake largely overestimates the size of the infarct and the ESA-based area at risk.
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Affiliation(s)
- Felix Nensa
- From the Department of Diagnostic and Interventional Radiology and Neuroradiology (F.N., K.N., M.F., T.S.), Clinic for Nuclear Medicine (T.P., A.B.), Clinic for Cardiology (E.T., A.A.M., R.E.), and Institute for Pathophysiology (G.H.), University Hospital Essen, University of Duisburg-Essen, Hufelandstrasse 55, 45147 Essen, Germany; and Department of Diagnostic and Interventional Radiology, University Hospital Dusseldorf, University of Dusseldorf, Dusseldorf, Germany (P.H.)
| | - Thorsten Poeppel
- From the Department of Diagnostic and Interventional Radiology and Neuroradiology (F.N., K.N., M.F., T.S.), Clinic for Nuclear Medicine (T.P., A.B.), Clinic for Cardiology (E.T., A.A.M., R.E.), and Institute for Pathophysiology (G.H.), University Hospital Essen, University of Duisburg-Essen, Hufelandstrasse 55, 45147 Essen, Germany; and Department of Diagnostic and Interventional Radiology, University Hospital Dusseldorf, University of Dusseldorf, Dusseldorf, Germany (P.H.)
| | - Ercan Tezgah
- From the Department of Diagnostic and Interventional Radiology and Neuroradiology (F.N., K.N., M.F., T.S.), Clinic for Nuclear Medicine (T.P., A.B.), Clinic for Cardiology (E.T., A.A.M., R.E.), and Institute for Pathophysiology (G.H.), University Hospital Essen, University of Duisburg-Essen, Hufelandstrasse 55, 45147 Essen, Germany; and Department of Diagnostic and Interventional Radiology, University Hospital Dusseldorf, University of Dusseldorf, Dusseldorf, Germany (P.H.)
| | - Philipp Heusch
- From the Department of Diagnostic and Interventional Radiology and Neuroradiology (F.N., K.N., M.F., T.S.), Clinic for Nuclear Medicine (T.P., A.B.), Clinic for Cardiology (E.T., A.A.M., R.E.), and Institute for Pathophysiology (G.H.), University Hospital Essen, University of Duisburg-Essen, Hufelandstrasse 55, 45147 Essen, Germany; and Department of Diagnostic and Interventional Radiology, University Hospital Dusseldorf, University of Dusseldorf, Dusseldorf, Germany (P.H.)
| | - Kai Nassenstein
- From the Department of Diagnostic and Interventional Radiology and Neuroradiology (F.N., K.N., M.F., T.S.), Clinic for Nuclear Medicine (T.P., A.B.), Clinic for Cardiology (E.T., A.A.M., R.E.), and Institute for Pathophysiology (G.H.), University Hospital Essen, University of Duisburg-Essen, Hufelandstrasse 55, 45147 Essen, Germany; and Department of Diagnostic and Interventional Radiology, University Hospital Dusseldorf, University of Dusseldorf, Dusseldorf, Germany (P.H.)
| | - Amir A Mahabadi
- From the Department of Diagnostic and Interventional Radiology and Neuroradiology (F.N., K.N., M.F., T.S.), Clinic for Nuclear Medicine (T.P., A.B.), Clinic for Cardiology (E.T., A.A.M., R.E.), and Institute for Pathophysiology (G.H.), University Hospital Essen, University of Duisburg-Essen, Hufelandstrasse 55, 45147 Essen, Germany; and Department of Diagnostic and Interventional Radiology, University Hospital Dusseldorf, University of Dusseldorf, Dusseldorf, Germany (P.H.)
| | - Michael Forsting
- From the Department of Diagnostic and Interventional Radiology and Neuroradiology (F.N., K.N., M.F., T.S.), Clinic for Nuclear Medicine (T.P., A.B.), Clinic for Cardiology (E.T., A.A.M., R.E.), and Institute for Pathophysiology (G.H.), University Hospital Essen, University of Duisburg-Essen, Hufelandstrasse 55, 45147 Essen, Germany; and Department of Diagnostic and Interventional Radiology, University Hospital Dusseldorf, University of Dusseldorf, Dusseldorf, Germany (P.H.)
| | - Andreas Bockisch
- From the Department of Diagnostic and Interventional Radiology and Neuroradiology (F.N., K.N., M.F., T.S.), Clinic for Nuclear Medicine (T.P., A.B.), Clinic for Cardiology (E.T., A.A.M., R.E.), and Institute for Pathophysiology (G.H.), University Hospital Essen, University of Duisburg-Essen, Hufelandstrasse 55, 45147 Essen, Germany; and Department of Diagnostic and Interventional Radiology, University Hospital Dusseldorf, University of Dusseldorf, Dusseldorf, Germany (P.H.)
| | - Raimund Erbel
- From the Department of Diagnostic and Interventional Radiology and Neuroradiology (F.N., K.N., M.F., T.S.), Clinic for Nuclear Medicine (T.P., A.B.), Clinic for Cardiology (E.T., A.A.M., R.E.), and Institute for Pathophysiology (G.H.), University Hospital Essen, University of Duisburg-Essen, Hufelandstrasse 55, 45147 Essen, Germany; and Department of Diagnostic and Interventional Radiology, University Hospital Dusseldorf, University of Dusseldorf, Dusseldorf, Germany (P.H.)
| | - Gerd Heusch
- From the Department of Diagnostic and Interventional Radiology and Neuroradiology (F.N., K.N., M.F., T.S.), Clinic for Nuclear Medicine (T.P., A.B.), Clinic for Cardiology (E.T., A.A.M., R.E.), and Institute for Pathophysiology (G.H.), University Hospital Essen, University of Duisburg-Essen, Hufelandstrasse 55, 45147 Essen, Germany; and Department of Diagnostic and Interventional Radiology, University Hospital Dusseldorf, University of Dusseldorf, Dusseldorf, Germany (P.H.)
| | - Thomas Schlosser
- From the Department of Diagnostic and Interventional Radiology and Neuroradiology (F.N., K.N., M.F., T.S.), Clinic for Nuclear Medicine (T.P., A.B.), Clinic for Cardiology (E.T., A.A.M., R.E.), and Institute for Pathophysiology (G.H.), University Hospital Essen, University of Duisburg-Essen, Hufelandstrasse 55, 45147 Essen, Germany; and Department of Diagnostic and Interventional Radiology, University Hospital Dusseldorf, University of Dusseldorf, Dusseldorf, Germany (P.H.)
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Khan JN, Nazir SA, Horsfield MA, Singh A, Kanagala P, Greenwood JP, Gershlick AH, McCann GP. Comparison of semi-automated methods to quantify infarct size and area at risk by cardiovascular magnetic resonance imaging at 1.5T and 3.0T field strengths. BMC Res Notes 2015; 8:52. [PMID: 25889795 PMCID: PMC4347654 DOI: 10.1186/s13104-015-1007-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2014] [Accepted: 02/09/2015] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND There is currently no gold standard technique for quantifying infarct size (IS) and ischaemic area-at-risk (AAR [oedema]) on late gadolinium enhancement imaging (LGE) and T2-weighted short tau inversion recovery imaging (T2w-STIR) respectively. This study aimed to compare the accuracy and reproducibility of IS and AAR quantification on LGE and T2w-STIR imaging using Otsu's Automated Technique (OAT) with currently used methods at 1.5T and 3.0T post acute ST-segment elevation myocardial infarction (STEMI). METHODS Ten patients were assessed at 1.5T and 10 at 3.0T. IS was assessed on LGE using 5-8 standard-deviation thresholding (5-8SD), full-width half-maximum (FWHM) quantification and OAT. AAR was assessed on T2w-STIR using 2SD and OAT. Accuracy was assessed by comparison with manual quantification. Interobserver and intraobserver variabilities were assessed using Intraclass Correlation Coefficients and Bland-Altman analysis. IS using each technique was correlated with left ventricular ejection fraction (LVEF). RESULTS FWHM and 8SD-derived IS closely correlated with manual assessment at both field strengths (1.5T: 18.3 ± 10.7% LV Mass [LVM] with FWHM, 17.7 ± 14.4% LVM with 8SD, 16.5 ± 10.3% LVM with manual quantification; 3.0T: 10.8 ± 8.2% LVM with FWHM, 11.4 ± 9.0% LVM with 8SD, 11.5 ± 9.0% LVM with manual quantification). 5SD and OAT overestimated IS at both field strengths. OAT, 2SD and manually quantified AAR closely correlated at 1.5T, but OAT overestimated AAR compared with manual assessment at 3.0T. IS and AAR derived by FWHM and OAT respectively had better reproducibility compared with manual and SD-based quantification. FWHM IS correlated strongest with LVEF. CONCLUSIONS FWHM quantification of IS is accurate, reproducible and correlates strongly with LVEF, whereas 5SD and OAT overestimate IS. OAT accurately assesses AAR at 1.5T and with excellent reproducibility. OAT overestimated AAR at 3.0T and thus cannot be recommended as the preferred method for AAR quantification at 3.0T.
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Affiliation(s)
- Jamal N Khan
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Groby Road, LE3 9QP, Leicester, UK.
| | - Sheraz A Nazir
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Groby Road, LE3 9QP, Leicester, UK.
| | - Mark A Horsfield
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Groby Road, LE3 9QP, Leicester, UK.
| | - Anvesha Singh
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Groby Road, LE3 9QP, Leicester, UK.
| | - Prathap Kanagala
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Groby Road, LE3 9QP, Leicester, UK.
| | - John P Greenwood
- Division of Cardiovascular and Diabetes Research, Leeds Institute of Genetics, Health and Therapeutics, University of Leeds, LS2 9JT, Leeds, UK.
| | - Anthony H Gershlick
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Groby Road, LE3 9QP, Leicester, UK.
| | - Gerry P McCann
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Groby Road, LE3 9QP, Leicester, UK.
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Mikami Y, Kolman L, Joncas SX, Stirrat J, Scholl D, Rajchl M, Lydell CP, Weeks SG, Howarth AG, White JA. Accuracy and reproducibility of semi-automated late gadolinium enhancement quantification techniques in patients with hypertrophic cardiomyopathy. J Cardiovasc Magn Reson 2014; 16:85. [PMID: 25315701 PMCID: PMC4189726 DOI: 10.1186/s12968-014-0085-x] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2014] [Accepted: 09/23/2014] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND The presence and extent of late gadolinium enhancement (LGE) has been associated with adverse events in patients with hypertrophic cardiomyopathy (HCM). Signal intensity (SI) threshold techniques are routinely employed for quantification; Full-Width at Half-Maximum (FWHM) techniques are suggested to provide greater reproducibility than Signal Threshold versus Reference Mean (STRM) techniques, however the accuracy of these approaches versus the manual assignment of optimal SI thresholds has not been studied. In this study, we compared all known semi-automated LGE quantification techniques for accuracy and reproducibility among patients with HCM. METHODS Seventy-six HCM patients (51 male, age 54 ± 13 years) were studied. Total LGE volume was quantified using 7 semi-automated techniques and compared to expert manual adjustment of the SI threshold to achieve optimal segmentation. Techniques tested included STRM based thresholds of >2, 3, 4, 5 and 6 SD above mean SI of reference myocardium, the FWHM technique, and the Otsu-auto-threshold (OAT) technique. The SI threshold chosen by each technique was recorded for all slices. Bland-Altman analysis and intra-class correlation coefficients (ICC) were reported for each semi-automated technique versus expert, manually adjusted LGE segmentation. Intra- and inter-observer reproducibility assessments were also performed. RESULTS Fifty-two of 76 (68%) patients showed LGE on a total of 202 slices. For accuracy, the STRM >3SD technique showed the greatest agreement with manual segmentation (ICC = 0.97, mean difference and 95% limits of agreement = 1.6 ± 10.7 g) while STRM >6SD, >5SD, 4SD and FWHM techniques systematically underestimated total LGE volume. Slice based analysis of selected SI thresholds similarly showed the STRM >3SD threshold to most closely approximate manually adjusted SI thresholds (ICC = 0.88). For reproducibility, the intra- and inter-observer reproducibility of the >3SD threshold demonstrated an acceptable mean difference and 95% limits of agreement of -0.5 ± 6.8 g and -0.9 ± 5.6 g, respectively. CONCLUSIONS FWHM segmentation provides superior reproducibility, however systematically underestimates total LGE volume compared to manual segmentation in patients with HCM. The STRM >3SD technique provides the greatest accuracy while retaining acceptable reproducibility and may therefore be a preferred approach for LGE quantification in this population.
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Affiliation(s)
- Yoko Mikami
- Stephenson Cardiac Imaging Centre at the Libin Cardiovascular Institute of Alberta, University of Calgary, Calgary, AB, Canada.
| | - Louis Kolman
- Stephenson Cardiac Imaging Centre at the Libin Cardiovascular Institute of Alberta, University of Calgary, Calgary, AB, Canada.
| | - Sebastien X Joncas
- Stephenson Cardiac Imaging Centre at the Libin Cardiovascular Institute of Alberta, University of Calgary, Calgary, AB, Canada.
| | - John Stirrat
- Imaging Research Laboratory - Robarts Research Institute, Western University, London, ON, Canada.
| | - David Scholl
- Imaging Research Laboratory - Robarts Research Institute, Western University, London, ON, Canada.
| | - Martin Rajchl
- Imaging Research Laboratory - Robarts Research Institute, Western University, London, ON, Canada.
| | - Carmen P Lydell
- Stephenson Cardiac Imaging Centre at the Libin Cardiovascular Institute of Alberta, University of Calgary, Calgary, AB, Canada.
- Diagnostic Imaging, University of Calgary, Calgary, AB, Canada.
| | - Sarah G Weeks
- Stephenson Cardiac Imaging Centre at the Libin Cardiovascular Institute of Alberta, University of Calgary, Calgary, AB, Canada.
- Cardiac Sciences, University of Calgary, Calgary, AB, Canada.
| | - Andrew G Howarth
- Stephenson Cardiac Imaging Centre at the Libin Cardiovascular Institute of Alberta, University of Calgary, Calgary, AB, Canada.
- Cardiac Sciences, University of Calgary, Calgary, AB, Canada.
| | - James A White
- Stephenson Cardiac Imaging Centre at the Libin Cardiovascular Institute of Alberta, University of Calgary, Calgary, AB, Canada.
- Cardiac Sciences, University of Calgary, Calgary, AB, Canada.
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Al-Surmi A, Wirza R, Mahmod R, Khalid F, Dimon MZ. A new human heart vessel identification, segmentation and 3D reconstruction mechanism. J Cardiothorac Surg 2014; 9:161. [PMID: 25274253 PMCID: PMC4190392 DOI: 10.1186/s13019-014-0161-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2014] [Accepted: 09/25/2014] [Indexed: 11/24/2022] Open
Abstract
Background The identification and segmentation of inhomogeneous image regions is one of the most challenging issues nowadays. The surface vessels of the human heart are important for the surgeons to locate the region where to perform the surgery and to avoid surgical injuries. In addition, such identification, segmentation, and visualisation helps novice surgeons in the training phase of cardiac surgery. Methods This article introduces a new mechanism for identifying the position of vessels leading to the performance of surgery by enhancement of the input image. In addition, develop a 3D vessel reconstruction out of a single-view of a real human heart colour image obtained during open-heart surgery. Results Reduces the time required for locating the vessel region of interest (ROI). The vessel ROI must appear clearly for the surgeons. Furthermore, reduces the time required for training cardiac surgery of the novice surgeons. The 94.42% accuracy rate of the proposed vessel segmentation method using RGB colour space compares to other colour spaces. Conclusions The advantage of this mechanism is to help the surgeons to perform surgery in less time, avoid surgical errors, and to reduce surgical effort. Moreover, the proposed technique can reconstruct the 3D vessel model from a single image to facilitate learning of the heart anatomy as well as training of cardiac surgery for the novice surgeons. Furthermore, extensive experiments have been conducted which reveal the superior performance of the proposed mechanism compared to the state of the art methods. Electronic supplementary material The online version of this article (doi:10.1186/s13019-014-0161-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Aqeel Al-Surmi
- Department of Multimedia, Faculty of Computer Science and Information Technology, University Putra Malaysia, Selangor, Malaysia.
| | - Rahmita Wirza
- Department of Multimedia, Faculty of Computer Science and Information Technology, University Putra Malaysia, Selangor, Malaysia.
| | - Ramlan Mahmod
- Department of Multimedia, Faculty of Computer Science and Information Technology, University Putra Malaysia, Selangor, Malaysia.
| | - Fatimah Khalid
- Department of Multimedia, Faculty of Computer Science and Information Technology, University Putra Malaysia, Selangor, Malaysia.
| | - Mohd Zamrin Dimon
- Cardiothoracic Unit, Surgical Cluster, Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia.
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White SK, Frohlich GM, Sado DM, Maestrini V, Fontana M, Treibel TA, Tehrani S, Flett AS, Meier P, Ariti C, Davies JR, Moon JC, Yellon DM, Hausenloy DJ. Remote ischemic conditioning reduces myocardial infarct size and edema in patients with ST-segment elevation myocardial infarction. JACC Cardiovasc Interv 2014; 8:178-188. [PMID: 25240548 DOI: 10.1016/j.jcin.2014.05.015] [Citation(s) in RCA: 185] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2013] [Revised: 05/19/2014] [Accepted: 05/27/2014] [Indexed: 10/24/2022]
Abstract
OBJECTIVES This study aimed to determine whether remote ischemic conditioning (RIC) initiated prior to primary percutaneous coronary intervention (PPCI) could reduce myocardial infarct (MI) size in patients presenting with ST-segment elevation myocardial infarction. BACKGROUND RIC, using transient limb ischemia and reperfusion, can protect the heart against acute ischemia-reperfusion injury. Whether RIC can reduce MI size, assessed by cardiac magnetic resonance (CMR), is unknown. METHODS We randomly assigned 197 ST-segment elevation myocardial infarction patients with TIMI (Thrombolysis In Myocardial Infarction) flow grade 0 to receive RIC (four 5-min cycles of upper arm cuff inflation/deflation) or control (uninflated cuff placed on upper arm for 40 min) protocols prior to PPCI. The primary study endpoint was MI size, measured by CMR in 83 subjects on days 3 to 6 after admission. RESULTS RIC reduced MI size by 27%, when compared with the MI size of control subjects (18.0 ± 10% [n = 40] vs. 24.5 ± 12.0% [n = 43]; p = 0.009). At 24 h, high-sensitivity troponin T was lower with RIC (2,296 ± 263 ng/l [n = 89] vs. 2,736 ± 325 ng/l [n = 84]; p = 0.037). RIC also reduced the extent of myocardial edema measured by T2-mapping CMR (28.5 ± 9.0% vs. 35.1 ± 10.0%; p = 0.003) and lowered mean T2 values (68.7 ± 5.8 ms vs. 73.1 ± 6.1 ms; p = 0.001), precluding the use of CMR edema imaging to correctly estimate the area at risk. Using CMR-independent coronary angiography jeopardy scores to estimate the area at risk, RIC, when compared with the control protocol, was found to significantly improve the myocardial salvage index (0.42 ± 0.29 vs. 0.28 ± 0.29; p = 0.03). CONCLUSIONS This randomized study demonstrated that in ST-segment elevation myocardial infarction patients treated by PPCI, RIC, initiated prior to PPCI, reduced MI size, increased myocardial salvage, and reduced myocardial edema.
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Affiliation(s)
- Steven K White
- The Hatter Cardiovascular Institute, Institute of Cardiovascular Science, National Institute of Health Research University College London Hospitals Biomedical Research Centre, University College London, London, United Kingdom; The Heart Hospital, London, United Kingdom
| | | | | | | | | | | | | | - Andrew S Flett
- Department of Cardiology, University Hospital Southampton National Health Service Foundation Trust, Southampton, United Kingdom
| | | | - Cono Ariti
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - John R Davies
- The Essex Cardiothoracic Centre, Basildon University Hospital, Nethermayne, Basildon, Essex, United Kingdom
| | | | - Derek M Yellon
- The Hatter Cardiovascular Institute, Institute of Cardiovascular Science, National Institute of Health Research University College London Hospitals Biomedical Research Centre, University College London, London, United Kingdom
| | - Derek J Hausenloy
- The Hatter Cardiovascular Institute, Institute of Cardiovascular Science, National Institute of Health Research University College London Hospitals Biomedical Research Centre, University College London, London, United Kingdom; The Heart Hospital, London, United Kingdom.
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Bière L, Mateus V, Grall S, Prunier F, Clerfond G, Willoteaux S, Furber A. Late gadolinium enhancement MRI quantification to predict left ventricular remodeling after acute myocardial infarction. Ing Rech Biomed 2014. [DOI: 10.1016/j.irbm.2014.03.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
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Nadour W, Doyle M, Williams RB, Rayarao G, Grant SB, Thompson DV, Yamrozik JA, Biederman RWW. Does the presence of Q waves on the EKG accurately predict prior myocardial infarction when compared to cardiac magnetic resonance using late gadolinium enhancement? A cross-population study of noninfarct vs infarct patients. Heart Rhythm 2014; 11:2018-26. [PMID: 25063692 DOI: 10.1016/j.hrthm.2014.07.025] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2014] [Indexed: 02/06/2023]
Abstract
BACKGROUND We hypothesize that infarct detection by electrocardiogram (EKG) is inaccurate as compared with detection by magnetic resonance imaging and is potentially independent of infarct vs noninfarct status. This might have implications for societies in which initial cardiovascular testing is uniformly EKG. OBJECTIVE This study aimed to relate EKG-defined scar to cardiovascular magnetic resonance imaging (CMR)-defined scar independent of the underlying myocardial pathology. METHODS A total of 235 consecutive patients who underwent CMR-late gadolinium enhancement (LGE) with simultaneous EKG were screened for Q waves and compared with patients with a positive LGE pattern. The patients were divided into 3 groups: (1) patients with a positive infarct LGE pattern (LGE+/+; herein defined as LGE+), (2) patients with a noninfarct LGE pattern (LGE+/-), and (3) patients with a negative LGE pattern (LGE-). RESULTS While 139 of 235 patients (59%) were either LGE+ or LGE+/-, pathological Q waves were present in only 74 of 235 patients (31%). However, of these LGE+ or LGE+/- patients, only 76 (32%) had an infarct LGE pattern representing little overlap between the presence of LGE+ and Q waves. EKG sensitivity and specificity to detect infarct: 66% and 85%, respectively. However, of 24 of 74 patients (32%) with Q waves on the EKG, 66% were LGE+/- and 34% were LGE-. Importantly, 3-dimensional volume of myocardial scar was far more predictive of a Q wave than of scar transmurality. CONCLUSION EKG-defined scar, while ubiquitous for an infarct, has low sensitivity than CMR-LGE-defined scar. Unexpectedly, a significant number of pathological Q waves had absent infarct etiology, indicating high false positivity. Similarly, underrecognition of bona fide myocardial infarction frequently occurs, while 3-dimensional CMR volume of myocardial scar is far more predictive of a Q wave than of scar transmurality. This suggests that the well-regarded EKG may be a disservice when applied on a population basis, leading to inappropriate over or under downstream testing with wide socioeconomic implications.
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Affiliation(s)
- Wadih Nadour
- Center of Cardiovascular MRI, The Gerald McGinnis Cardiovascular Institute, Temple University, Allegheny General Hospital, Pittsburgh, Pennsylvania
| | - Mark Doyle
- Center of Cardiovascular MRI, The Gerald McGinnis Cardiovascular Institute, Temple University, Allegheny General Hospital, Pittsburgh, Pennsylvania
| | - Ronald B Williams
- Center of Cardiovascular MRI, The Gerald McGinnis Cardiovascular Institute, Temple University, Allegheny General Hospital, Pittsburgh, Pennsylvania
| | - Geetha Rayarao
- Center of Cardiovascular MRI, The Gerald McGinnis Cardiovascular Institute, Temple University, Allegheny General Hospital, Pittsburgh, Pennsylvania
| | - Saundra B Grant
- Center of Cardiovascular MRI, The Gerald McGinnis Cardiovascular Institute, Temple University, Allegheny General Hospital, Pittsburgh, Pennsylvania
| | - Diane V Thompson
- Center of Cardiovascular MRI, The Gerald McGinnis Cardiovascular Institute, Temple University, Allegheny General Hospital, Pittsburgh, Pennsylvania
| | - June A Yamrozik
- Center of Cardiovascular MRI, The Gerald McGinnis Cardiovascular Institute, Temple University, Allegheny General Hospital, Pittsburgh, Pennsylvania
| | - Robert W W Biederman
- Center of Cardiovascular MRI, The Gerald McGinnis Cardiovascular Institute, Temple University, Allegheny General Hospital, Pittsburgh, Pennsylvania..
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Vermes E, Childs H, Faris P, Friedrich MG. Predictive value of CMR criteria for LV functional improvement in patients with acute myocarditis. Eur Heart J Cardiovasc Imaging 2014; 15:1140-4. [DOI: 10.1093/ehjci/jeu099] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Quantitative tumor segmentation for evaluation of extent of glioblastoma resection to facilitate multisite clinical trials. Transl Oncol 2014; 7:40-7. [PMID: 24772206 DOI: 10.1593/tlo.13835] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2013] [Revised: 01/15/2014] [Accepted: 01/16/2014] [Indexed: 12/20/2022] Open
Abstract
Standard-of-care therapy for glioblastomas, the most common and aggressive primary adult brain neoplasm, is maximal safe resection, followed by radiation and chemotherapy. Because maximizing resection may be beneficial for these patients, improving tumor extent of resection (EOR) with methods such as intraoperative 5-aminolevulinic acid fluorescence-guided surgery (FGS) is currently under evaluation. However, it is difficult to reproducibly judge EOR in these studies due to the lack of reliable tumor segmentation methods, especially for postoperative magnetic resonance imaging (MRI) scans. Therefore, a reliable, easily distributable segmentation method is needed to permit valid comparison, especially across multiple sites. We report a segmentation method that combines versatile region-of-interest blob generation with automated clustering methods. We applied this to glioblastoma cases undergoing FGS and matched controls to illustrate the method's reliability and accuracy. Agreement and interrater variability between segmentations were assessed using the concordance correlation coefficient, and spatial accuracy was determined using the Dice similarity index and mean Euclidean distance. Fuzzy C-means clustering with three classes was the best performing method, generating volumes with high agreement with manual contouring and high interrater agreement preoperatively and postoperatively. The proposed segmentation method allows tumor volume measurements of contrast-enhanced T 1-weighted images in the unbiased, reproducible fashion necessary for quantifying EOR in multicenter trials.
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Gao H, Kadir K, Payne AR, Soraghan J, Berry C. Highly automatic quantification of myocardial oedema in patients with acute myocardial infarction using bright blood T2-weighted CMR. J Cardiovasc Magn Reson 2013; 15:28. [PMID: 23548176 PMCID: PMC3621376 DOI: 10.1186/1532-429x-15-28] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2012] [Accepted: 03/18/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND T2-weighted cardiovascular magnetic resonance (CMR) is clinically-useful for imaging the ischemic area-at-risk and amount of salvageable myocardium in patients with acute myocardial infarction (MI). However, to date, quantification of oedema is user-defined and potentially subjective. METHODS We describe a highly automatic framework for quantifying myocardial oedema from bright blood T2-weighted CMR in patients with acute MI. Our approach retains user input (i.e. clinical judgment) to confirm the presence of oedema on an image which is then subjected to an automatic analysis. The new method was tested on 25 consecutive acute MI patients who had a CMR within 48 hours of hospital admission. Left ventricular wall boundaries were delineated automatically by variational level set methods followed by automatic detection of myocardial oedema by fitting a Rayleigh-Gaussian mixture statistical model. These data were compared with results from manual segmentation of the left ventricular wall and oedema, the current standard approach. RESULTS The mean perpendicular distances between automatically detected left ventricular boundaries and corresponding manual delineated boundaries were in the range of 1-2 mm. Dice similarity coefficients for agreement (0=no agreement, 1=perfect agreement) between manual delineation and automatic segmentation of the left ventricular wall boundaries and oedema regions were 0.86 and 0.74, respectively. CONCLUSION Compared to standard manual approaches, the new highly automatic method for estimating myocardial oedema is accurate and straightforward. It has potential as a generic software tool for physicians to use in clinical practice.
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Affiliation(s)
- Hao Gao
- School of Mathematics and Statistics, University of Glasgow, Glasgow, G12 8QW, UK
| | - Kushsairy Kadir
- Centre for Excellence in Signal and Image Processing, Department of Electrical Engineering, University of Strathclyde, Glasgow, G1 1XW, UK
| | - Alexander R Payne
- BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, G12 8TA, UK
| | - John Soraghan
- Centre for Excellence in Signal and Image Processing, Department of Electrical Engineering, University of Strathclyde, Glasgow, G1 1XW, UK
| | - Colin Berry
- BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, G12 8TA, UK
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