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De Silva K, Campbell T, Bennett RG, Anderson RD, Davey C, O'Donohue AK, Schindeler A, Turnbull S, Selvakumar D, Bhaskaran A, Kotake Y, Hsu CJ, Chong JJH, Kizana E, Kumar S. Whole-Heart Histological and Electroanatomic Assessment of Postinfarction Cardiac Magnetic Resonance Imaging Scar and Conducting Channels. Circ Arrhythm Electrophysiol 2024; 17:e012922. [PMID: 39193754 DOI: 10.1161/circep.124.012922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 08/07/2024] [Indexed: 08/29/2024]
Abstract
BACKGROUND Cardiac magnetic resonance imaging (CMR)-defined ventricular scar and anatomic conduction channels (CMR-CCs) offer promise in delineating ventricular tachycardia substrate. No studies have validated channels with coregistered histology, nor have they ascertained the histological characteristics of deceleration zones (DZs) within these channels. We aimed to validate CMR scar and CMR-CCs with whole-heart histology and electroanatomic mapping in a postinfarction model. METHODS Five sheep underwent anteroseptal infarction. CMR (116±20 days post infarct) was postprocessed using ADAS-3D, varying pixel intensity thresholds (5545, 6040, 6535, and 7030). DZs were identified by electroanatomic mapping (129±12 days post infarct). Explanted hearts were sectioned and stained with Picrosirius red, and whole-heart histopathologic shells were generated. Scar topography as well as percentage fibrosis, adiposity, and remaining viable myocardium within 3 mm histological biopsies and within CMR-CCs were determined. RESULTS Using the standard 6040 thresholding, CMR had 83.8% accuracy for identifying histological scar in the endocardium (κ, 0.666) and 61.4% in the epicardium (κ, 0.276). Thirty-seven CMR-CCs were identified by varying thresholding; 23 (62%) were unique. DZs colocalized to 19 of 23 (83%) CMR-CCs. Twenty (87%) CMR-CCs were histologically confirmed. Within-channel histological fibrosis did not differ by the presence of DZs (P=0.242). Within-channel histological adiposity was significantly higher at sites with versus without DZs (24.1% versus 8.3%; P<0.001). CONCLUSIONS Postprocessed CMR-derived scars and channels were validated by histology and electroanatomic mapping. Regions of CMR-CCs at sites of DZs had higher adiposity but similar fibrosis than regions without DZs, suggesting that lipomatous metaplasia may contribute to arrhythmogenicity of postinfarction scar.
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Affiliation(s)
- Kasun De Silva
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Westmead Applied Research Centre, The University of Sydney, New South Wales, Australia (K.D.S., T.C., R.G.B., C.D., S.T., A.B., Y.K., S.K.)
| | - Timothy Campbell
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Westmead Applied Research Centre, The University of Sydney, New South Wales, Australia (K.D.S., T.C., R.G.B., C.D., S.T., A.B., Y.K., S.K.)
| | - Richard G Bennett
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Westmead Applied Research Centre, The University of Sydney, New South Wales, Australia (K.D.S., T.C., R.G.B., C.D., S.T., A.B., Y.K., S.K.)
- Division of Cardiology, University of British Columbia, Vancouver, Canada (R.G.B.)
| | - Robert D Anderson
- Department of Cardiology, Royal Melbourne Hospital, and Faculty of Medicine, Dentistry, and Health Science, University of Melbourne, Victoria, Australia (R.D.A.)
| | - Chris Davey
- Westmead Applied Research Centre, The University of Sydney, New South Wales, Australia (K.D.S., T.C., R.G.B., C.D., S.T., A.B., Y.K., S.K.)
| | - Alexandra K O'Donohue
- Bioengineering and Molecular Medicine Laboratory, The Children's Hospital at Westmead and The Westmead Institute for Medical Research, New South Wales, Australia (A.K.O., A.S.)
- School of Chemical and Biomolecular Engineering, Faculty of Engineering, University of Sydney, New South Wales, Australia (A.K.O., A.S.)
| | - Aaron Schindeler
- Bioengineering and Molecular Medicine Laboratory, The Children's Hospital at Westmead and The Westmead Institute for Medical Research, New South Wales, Australia (A.K.O., A.S.)
| | - Samual Turnbull
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Westmead Applied Research Centre, The University of Sydney, New South Wales, Australia (K.D.S., T.C., R.G.B., C.D., S.T., A.B., Y.K., S.K.)
| | - Dinesh Selvakumar
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Centre for Heart Research, The Westmead Institute for Medical Research, New South Wales, Australia (D.S., J.J.H.C., E.K.)
| | - Ashwin Bhaskaran
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Westmead Applied Research Centre, The University of Sydney, New South Wales, Australia (K.D.S., T.C., R.G.B., C.D., S.T., A.B., Y.K., S.K.)
| | - Yasuhito Kotake
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Westmead Applied Research Centre, The University of Sydney, New South Wales, Australia (K.D.S., T.C., R.G.B., C.D., S.T., A.B., Y.K., S.K.)
| | - Chi-Jen Hsu
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
| | - James J H Chong
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Centre for Heart Research, The Westmead Institute for Medical Research, New South Wales, Australia (D.S., J.J.H.C., E.K.)
| | - Eddy Kizana
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Centre for Heart Research, The Westmead Institute for Medical Research, New South Wales, Australia (D.S., J.J.H.C., E.K.)
| | - Saurabh Kumar
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Westmead Applied Research Centre, The University of Sydney, New South Wales, Australia (K.D.S., T.C., R.G.B., C.D., S.T., A.B., Y.K., S.K.)
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2
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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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He XT, Zhang J, Pan Y, Yu F, Tang G, Zhu LZ, Qin YN, Zheng XZ. Prediction of an impaired myocardial work using infarct size in acute myocardial infarction. Coron Artery Dis 2024; 35:59-66. [PMID: 37990589 DOI: 10.1097/mca.0000000000001306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2023]
Abstract
BACKGROUND The relationship between myocardial infarct size (MIS) on late gadolinium-enhanced cardiac MRI (LGE MRI) and myocardial work (MW) indices assessed with MW echocardiography (MWE) has not been well characterized. This study aimed to determine an impaired MW using MIS in patients with acute myocardial infarction. METHODS Left ventricular (LV) two-dimensional speckle-tracking echocardiography, MWE, and LGE MRI were performed in 33 patients with ST-segment elevation myocardial infarction and in 30 age- and sex-comparable controls. LV global longitudinal strain (GLS), global work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE) and MIS were acquired, respectively. RESULTS MIS was negatively correlated with GWI (r = -0.60, P = 0.005), GCW (r =- 0.66, P = 0.002) and GWE (r = -0.71, P = 0.0004), but positively correlated with GLS (r = 0.68, P = 0.001). With the receiver operating characteristic curve, the cutoff value of MIS for the prediction of an impaired GLS was 16.5% [area under the curve (AUC) = 0.867)], an impaired GWI was 19.2% (AUC = 0.727), an impaired GCW was 19.2% (AUC = 0.725), an increased GWW was 15.8% (AUC = 0.656), an impaired GWE was 15.8% (AUC = 0.880). CONCLUSION MIS is a strong predictor of impaired MW. Timely reduction of infarct size is essential to improve myocardial function.
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Affiliation(s)
- Xiao-Ting He
- Department of Ultrasound, The Fifth People's Hospital of Huai'an, Huai'an City
| | - Jie Zhang
- Department of Ultrasound, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyugang, Lianyungang, Jiangsu Province
| | - Yang Pan
- Department of Ultrasound, The Fifth People's Hospital of Huai'an, Huai'an City
| | - Fan Yu
- Department of Ultrasound, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyugang, Lianyungang, Jiangsu Province
| | - Ge Tang
- Department of Ultrasound, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyugang, Lianyungang, Jiangsu Province
| | - Li-Zhou Zhu
- Department of Ultrasound, The Fifth People's Hospital of Huai'an, Huai'an City
| | - Yi-Nan Qin
- Department of Ultrasound, The Fifth People's Hospital of Huai'an, Huai'an City
| | - Xiao-Zhi Zheng
- Department of Ultrasound, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, People's Republic of China
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4
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Yu F, Tang G, Chen YA, Zhang PY, Ren F, Zhang J, Zheng XZ. Number of segments with motion abnormalities is better correlated with infarct size in acute myocardial infarction. Coron Artery Dis 2023; 34:489-495. [PMID: 37471279 DOI: 10.1097/mca.0000000000001266] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/22/2023]
Abstract
BACKGROUND The relationship between the number of segments with motion abnormalities (SMA) on the bull's-eye plots of speckle-tracking echocardiography (STE) and myocardial infarct size (MIS) on late gadolinium-enhanced cardiac MRI (LGE-cMRI) has not been well characterized. This study aimed to determine MIS using the number of SMA in patients with acute myocardial infarction (MI). METHODS Left ventricular two-dimensional STE and LGE-cMRI were performed in 380 patients with ST-segment elevation MI within 48 h and 5-6 days after primary percutaneous intervention, respectively. RESULTS Patients with impaired global and regional myocardial strain, work and greater number of SMA had significantly larger infarcts ( P < 0.05). Multivariate logistic regression analysis that included myocardial strain, work, and number of SMA showed that total number of SMA [odds ratio (OR) = 1.976; 95% confidence interval (CI): 1.539-2.538, P < 0.0001], the number of segments with paradoxalic systolic movements (SPSM, OR = 3.703; 95% CI: 2.112-6.493, P < 0.0001) were independent risk factors of large MIS (>19%). The area under receiver operating characteristic curve (AUC) of 0.904 (0.866~0.942) for total number of SMA was superior to that for global longitudinal strain (GLS, AUC = 0.813, 0.761~0.865), global work efficiency (GWE, AUC = 0.794, 0.730~0.857) and number of SPSM (AUC = 0.851, 0.804-0.899) to predict a large MIS ( P < 0.05). The optimal cutoff value of total number of SMA was 7, with a sensitivity of 85.31%, a specificity of 81.48%, and an accuracy of 83.27%. CONCLUSION Total number of SMA is better associated with infarct size, which provided an incremental prognostic value above established prognostic parameters such as GLS and GWE.
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Affiliation(s)
- Fan Yu
- Department of Ultrasound, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyugang, Jiangsu Province
| | - Ge Tang
- Department of Ultrasound, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyugang, Jiangsu Province
| | - Yun-An Chen
- Department of Ultrasound, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyugang, Jiangsu Province
| | - Peng-Ying Zhang
- Department of Ultrasound, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyugang, Jiangsu Province
| | - Fei Ren
- Department of Ultrasound, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyugang, Jiangsu Province
| | - Jie Zhang
- Department of Ultrasound, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyugang, Jiangsu Province
| | - Xiao-Zhi Zheng
- Department of Ultrasound, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, People's Republic of China
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Li Kam Wa ME, Assar SZ, Kirtane AJ, Perera D. Revascularisation for Ischaemic Cardiomyopathy. Interv Cardiol 2023; 18:e24. [PMID: 37655258 PMCID: PMC10466461 DOI: 10.15420/icr.2023.06] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 05/02/2023] [Indexed: 09/02/2023] Open
Abstract
Coronary artery disease is a leading cause of heart failure with reduced ejection fraction. Coronary artery bypass grafting appears to provide clinical benefits such as improvements in quality of life, reductions in readmissions and MI, and favourable effects on long-term mortality; however, there is a significant short-term procedural risk when left ventricular function is severely impaired, which poses a conundrum for many patients. Could percutaneous coronary intervention provide the same benefits without the hazard of surgery? There have been no randomised studies to support this practice until recently. The REVIVED-BCIS2 trial (NCT01920048) assessed the outcomes of percutaneous coronary intervention in addition to optimal medical therapy in patients with ischaemic left ventricular dysfunction and stable coronary artery disease. This review examines the trial results in detail, suggests a pathway for investigation and revascularisation in ischaemic cardiomyopathy, and explores some of the remaining unanswered questions.
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Affiliation(s)
- Matthew E Li Kam Wa
- Coronary Research Group, British Heart Foundation Centre of Research Excellence, King's College London London, UK
| | - Saba Z Assar
- Division of Cardiology, Columbia University Irving Medical Center/New York-Presbyterian Hospital New York, NY, US
| | - Ajay J Kirtane
- Division of Cardiology, Columbia University Irving Medical Center/New York-Presbyterian Hospital New York, NY, US
- Cardiovascular Research Foundation New York, NY, US
| | - Divaka Perera
- Coronary Research Group, British Heart Foundation Centre of Research Excellence, King's College London London, UK
- Cardiovascular Division, Guy's and St Thomas' NHS Foundation Trust London, UK
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Nies HM, Martens B, Gommers S, Bijvoet GP, Wildberger JE, ter Bekke RM, Holtackers RJ, Mihl C. Myocardial Scar Detection Using High-Resolution Free-Breathing 3D Dark-Blood and Standard Breath-Holding 2D Bright-Blood Late Gadolinium Enhancement MRI: A Comparison of Observer Confidence. Top Magn Reson Imaging 2023; 32:27-32. [PMID: 37058709 PMCID: PMC10510822 DOI: 10.1097/rmr.0000000000000304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 03/14/2023] [Indexed: 04/16/2023]
Abstract
OBJECTIVE To compare observer confidence for myocardial scar detection using 3 different late gadolinium enhancement (LGE) data sets by 2 observers with different levels of experience. MATERIALS AND METHODS Forty-one consecutive patients, who were referred for 3D dark-blood LGE MRI before implantable cardioverter-defibrillator implantation or ablation therapy and who underwent 2D bright-blood LGE MRI within a time frame of 3 months, were prospectively included. From all 3D dark-blood LGE data sets, a stack of 2D short-axis slices was reconstructed. All acquired LGE data sets were anonymized and randomized and evaluated by 2 independent observers with different levels of experience in cardiovascular imaging (beginner and expert). Confidence in detection of ischemic scar, nonischemic scar, papillary muscle scar, and right ventricular scar for each LGE data set was scored using a using a 3-point Likert scale (1 = low, 2 = medium, or 3 = high). Observer confidence scores were compared using the Friedman omnibus test and Wilcoxon signed-rank post hoc test. RESULTS For the beginner observer, a significant difference in confidence regarding ischemic scar detection was observed in favor of reconstructed 2D dark-blood LGE compared with standard 2D bright-blood LGE (p = 0.030) while for the expert observer, no significant difference was found (p = 0.166). Similarly, for right ventricular scar detection, a significant difference in confidence was observed in favor of reconstructed 2D dark-blood LGE compared with standard 2D bright-blood LGE (p = 0.006) while for the expert observer, no significant difference was found (p = 0.662). Although not significantly different for other areas of interest, 3D dark-blood LGE and its derived 2D dark-blood LGE data set showed a tendency to score higher for all areas of interest at both experience levels. CONCLUSIONS The combination of dark-blood LGE contrast and high isotropic voxels may contribute to increased observer confidence in myocardial scar detection, independent of observer's experience level but in particular for beginner observers.
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Affiliation(s)
- 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
| | - 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
| | - Suzanne Gommers
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, 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
| | - 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
| | - Rachel M.A. ter Bekke
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Department of Cardiology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Robert J. Holtackers
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Casper Mihl
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands
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7
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Ferreira VM, Plein S, Wong TC, Tao Q, Raisi-Estabragh Z, Jain SS, Han Y, Ojha V, Bluemke DA, Hanneman K, Weinsaft J, Vidula MK, Ntusi NAB, Schulz-Menger J, Kim J. Cardiovascular magnetic resonance for evaluation of cardiac involvement in COVID-19: recommendations by the Society for Cardiovascular Magnetic Resonance. J Cardiovasc Magn Reson 2023; 25:21. [PMID: 36973744 PMCID: PMC10041524 DOI: 10.1186/s12968-023-00933-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 03/14/2023] [Indexed: 03/29/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that has affected nearly 600 million people to date across the world. While COVID-19 is primarily a respiratory illness, cardiac injury is also known to occur. Cardiovascular magnetic resonance (CMR) imaging is uniquely capable of characterizing myocardial tissue properties in-vivo, enabling insights into the pattern and degree of cardiac injury. The reported prevalence of myocardial involvement identified by CMR in the context of COVID-19 infection among previously hospitalized patients ranges from 26 to 60%. Variations in the reported prevalence of myocardial involvement may result from differing patient populations (e.g. differences in severity of illness) and the varying intervals between acute infection and CMR evaluation. Standardized methodologies in image acquisition, analysis, interpretation, and reporting of CMR abnormalities across would likely improve concordance between studies. This consensus document by the Society for Cardiovascular Magnetic Resonance (SCMR) provides recommendations on CMR imaging and reporting metrics towards the goal of improved standardization and uniform data acquisition and analytic approaches when performing CMR in patients with COVID-19 infection.
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Affiliation(s)
- Vanessa M Ferreira
- University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Oxford British Heart Foundation Centre of Research Excellence, The National Institute for Health Research Oxford Biomedical Research Centre at the Oxford University Hospitals NHS Foundation Trust, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Sven Plein
- Department of Biomedical Imaging Science, University of Leeds, Leeds, UK
| | - Timothy C Wong
- Division of Cardiology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, USA
| | - Qian Tao
- Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
| | - Zahra Raisi-Estabragh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK
| | - Supriya S Jain
- Division of Pediatric Cardiology, Department of Pediatrics, Maria Fareri Children's Hospital at Westchester Medical Center, New York Medical College, New York, USA
| | - Yuchi Han
- Cardiovascular Medicine, Wexner Medical Center, The Ohio State University, Columbus, USA
| | - Vineeta Ojha
- Department of Cardiovascular Radiology and Endovascular Interventions, All India Institute of Medical Sciences, New Delhi, India
| | - David A Bluemke
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Kate Hanneman
- Department of Medical Imaging, Toronto General Hospital, University of Toronto, Toronto, Canada
| | - Jonathan Weinsaft
- Department of Medicine, Division of Cardiology, Weill Cornell Medicine/New York Presbyterian Hospital, Weill Cornell Medical College, New York, USA
| | - Mahesh K Vidula
- Division of Cardiovascular Medicine, University of Pennsylvania, Philadelphia, USA
| | - Ntobeko A B Ntusi
- Division of Cardiology, Department of Medicine, University of Cape Town and Groote Schuur Hospital; Cape Heart Institute, University of Cape Town, South African Medical Research Council Extramural Unit On Intersection of Noncommunicable Diseases and Infectious Diseases, Cape Town, South Africa
| | - Jeanette Schulz-Menger
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between Charité and MDC, Charité University Medicine, Berlin, Germany
- Department of Cardiology and Nephrology, Helios Hospital Berlin-Buch, Berlin, Germany
| | - Jiwon Kim
- Department of Medicine, Division of Cardiology, Weill Cornell Medicine/New York Presbyterian Hospital, Weill Cornell Medical College, New York, USA.
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8
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Kaplangoray M, Aydın C, Toprak K, Cekici Y. Selvester score and myocardial performance index in acute anterior myocardial infarction. REVISTA DA ASSOCIACAO MEDICA BRASILEIRA (1992) 2023; 69:325-329. [PMID: 36790238 PMCID: PMC9983492 DOI: 10.1590/1806-9282.20221252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 11/15/2022] [Indexed: 02/12/2023]
Abstract
BACKGROUND The simplified Selvester QRS score is a parameter for estimating myocardial damage in ST-elevation myocardial infarction. ST-elevation myocardial infarction leads to varying degrees of impairment in left ventricular systolic and diastolic function. Myocardial performance index is a single parameter that can predict combined left ventricular systolic and diastolic performance. OBJECTIVE We investigated the relationship between Selvester score and myocardial performance index in patients undergoing primary percutaneous coronary intervention for acute anterior myocardial infarction. METHODS The study included 58 patients who underwent primary percutaneous coronary intervention for acute anterior myocardial infarction. Selvester score of all patients was also calculated at 72 h. Patients were categorized into two groups according to the Selvester score. Those with a score <6 (low score) were considered group 1 and those with a score ≥6 (high score) were considered group 2. RESULTS When compared with group 1, patients in group 2 were older (p=0.01) and had lower left ventricular ejection fractions (50.3±4 vs. 35.6±6.9, p=0.001), and conventional myocardial performance index (0.52±0.06 vs. 0.69±0.08, p=0.001), lateral tissue Doppler-derived myocardial performance index (0.57±0.08 vs. 0.72±0.08, p=0.001), and septal tissue Doppler-derived myocardial performance index (0.62±0.07 vs. 0.76±0.08, p=0.001) were higher. There was a high correlation between lateral tissue Doppler-derived myocardial performance index and conventional myocardial performance index and Selvester score (r=0.80, p<0.001; r=0.86, p<0.001, respectively) and a moderate correlation between septal tissue Doppler-derived myocardial performance index and Selvester score (r=0.67, p<0.001). CONCLUSIONS The post-procedural Selvester score can predict lateral tissue Doppler-derived myocardial performance index and conventional myocardial performance index with high sensitivity and acceptable specificity in patients undergoing primary percutaneous coronary intervention for acute anterior myocardial infarction.
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Affiliation(s)
- Mustafa Kaplangoray
- Sağlık Bilimleri Üniversitesi, Mehmet Akif İnan Research and Training Hospital, Department of Cardiology - Şanlıurfa, Turkey
| | - Cihan Aydın
- Tekirdağ Namık Kemal Üniversitesi, Department of Cardiology - Tekirdağ, Turkey
| | - Kenan Toprak
- Republic of Turkey Ministry of Health, Siverek State Hospital, Department of Cardiology - Şanlıurfa, Turkey
| | - Yusuf Cekici
- Sağlık Bilimleri Üniversitesi, Adana Health Practice and Research Center, Department of Cardiology - Adana, Turkey
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9
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Kellman P. Can Chronic Myocardial Infarction Be Detected by Native T1 Mapping? JACC. CARDIOVASCULAR IMAGING 2022; 15:2080-2081. [PMID: 36481076 DOI: 10.1016/j.jcmg.2022.09.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 09/21/2022] [Indexed: 11/17/2022]
Affiliation(s)
- Peter Kellman
- National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
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10
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Heiberg E, Engblom H, Carlsson M, Erlinge D, Atar D, Aletras AH, Arheden H. Infarct quantification with cardiovascular magnetic resonance using "standard deviation from remote" is unreliable: validation in multi-centre multi-vendor data. J Cardiovasc Magn Reson 2022; 24:53. [PMID: 36336693 PMCID: PMC9639305 DOI: 10.1186/s12968-022-00888-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 09/08/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND The objective of the study was to investigate variability and agreement of the commonly used image processing method "n-SD from remote" and in particular for quantifying myocardial infarction by late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR). LGE-CMR in tandem with the analysis method "n-SD from remote" represents the current reference standard for infarct quantification. This analytic method utilizes regions of interest (ROIs) and defines infarct as the tissue with a set number of standard deviations (SD) above the signal intensity of remote nulled myocardium. There is no consensus on what the set number of SD is supposed to be. Little is known about how size and location of ROIs and underlying signal properties in the LGE images affect results. Furthermore, the method is frequently used elsewhere in medical imaging often without careful validation. Therefore, the usage of the "n-SD" method warrants a thorough validation. METHODS Data from 214 patients from two multi-center cardioprotection trials were included. Infarct size from different remote ROI positions, ROI size, and number of standard deviations ("n-SD") were compared with reference core lab delineations. RESULTS Variability in infarct size caused by varying ROI position, ROI size, and "n-SD" was 47%, 48%, and 40%, respectively. The agreement between the "n-SD from remote" method and the reference infarct size by core lab delineations was low. Optimal "n-SD" threshold computed on a slice-by-slice basis showed high variability, n = 5.3 ± 2.2. CONCLUSION The "n-SD from remote" method is unreliable for infarct quantification due to high variability which depends on different placement and size of remote ROI, number "n-SD", and image signal properties related to the CMR-scanner and sequence used. Therefore, the "n-SD from remote" method should not be used, instead methods validated against an independent standard are recommended.
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Affiliation(s)
- Einar Heiberg
- Department of Clinical Sciences Lund, Clinical Physiology, Skåne University Hospital, Lund University, 222 42, Lund, SE, Sweden.
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden.
| | - Henrik Engblom
- Department of Clinical Sciences Lund, Clinical Physiology, Skåne University Hospital, Lund University, 222 42, Lund, SE, Sweden
| | - Marcus Carlsson
- Department of Clinical Sciences Lund, Clinical Physiology, Skåne University Hospital, Lund University, 222 42, Lund, SE, Sweden
- Laboratory of Clinical Physiology, National Heart, Lung, and Blood Institute, NIH, Bethesda, USA
| | - David Erlinge
- Department of Cardiology, Skåne University Hospital, Lund University Hospital, Lund University, Lund, Sweden
| | - Dan Atar
- Department of Cardiology, Oslo University Hospital Ullevål, University of Oslo, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Anthony H Aletras
- Department of Clinical Sciences Lund, Clinical Physiology, Skåne University Hospital, Lund University, 222 42, Lund, SE, Sweden
- Laboratory of Computing, Medical Informatics and Biomedical-Imaging Technologies, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Håkan Arheden
- Department of Clinical Sciences Lund, Clinical Physiology, Skåne University Hospital, Lund University, 222 42, Lund, SE, Sweden
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11
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Muscogiuri G, Guaricci AI, Cau R, Saba L, Senatieri A, Chierchia G, Pontone G, Volpato V, Palmisano A, Esposito A, Basile P, Marra P, D'angelo T, Booz C, Rabbat M, Sironi S. Multimodality imaging in acute myocarditis. JOURNAL OF CLINICAL ULTRASOUND : JCU 2022; 50:1097-1109. [PMID: 36218216 DOI: 10.1002/jcu.23310] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 07/29/2022] [Accepted: 08/03/2022] [Indexed: 06/16/2023]
Abstract
The diagnosis of acute myocarditis often involves several noninvasive techniques that can provide information regarding volumes, ejection fraction, and tissue characterization. In particular, echocardiography is extremely helpful for the evaluation of biventricular volumes, strain and ejection fraction. Cardiac magnetic resonance, beyond biventricular volumes, strain, and ejection fraction allows to characterize myocardial tissue providing information regarding edema, hyperemia, and fibrosis. Contemporary cardiac computed tomography angiography (CCTA) can not only be extremely important for the assessment of coronary arteries, pulmonary arteries and aorta but also tissue characterization using CCTA can be an additional tool that can explain chest pain with a diagnosis of myocarditis.
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Affiliation(s)
- Giuseppe Muscogiuri
- Department of Radiology, Istituto Auxologico Italiano IRCCS, San Luca Hospital, Milano, Italy
- School of Medicine, University of Milano-Bicocca, Milano, Italy
| | - Andrea Igoren Guaricci
- University Cardiology Unit, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy
| | - Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, Cagliari, Italy
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, Cagliari, Italy
| | | | | | | | - Valentina Volpato
- University Cardiology Unit, IRCCS Ospedale Galeazzi-Sant'Ambrogio, Milan, Italy
| | - Anna Palmisano
- Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milano, Italy
- School of Medicine, Vita-Salute San Raffaele University, Milano, Italy
| | - Antonio Esposito
- Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milano, Italy
- School of Medicine, Vita-Salute San Raffaele University, Milano, Italy
| | - Paolo Basile
- University Cardiology Unit, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy
| | - Paolo Marra
- Department of Radiology, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Tommaso D'angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, "G. Martino" University Hospital Messina, Messina, Italy
| | - Christian Booz
- Department of Diagnostic and Interventional Radiology, University Hospital of Frankfurt, Frankfurt, Germany
| | - Mark Rabbat
- Loyola University of Chicago, Chicago, Illinois, USA
- Edward Hines Jr. VA Hospital, Hines, Illinois, USA
| | - Sandro Sironi
- School of Medicine, University of Milano-Bicocca, Milano, Italy
- Department of Radiology, ASST Papa Giovanni XXIII, Bergamo, Italy
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12
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Portmann J, Wech T, Eirich P, Heidenreich JF, Petri N, Petritsch B, Bley TA, Köstler H. Evaluation of combined late gadolinium-enhancement and functional cardiac magnetic resonance imaging using spiral real-time acquisition. NMR IN BIOMEDICINE 2022; 35:e4732. [PMID: 35297111 DOI: 10.1002/nbm.4732] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 03/14/2022] [Accepted: 03/15/2022] [Indexed: 06/14/2023]
Abstract
The purpose of the current study was to implement and validate joint real-time acquisition of functional and late gadolinium-enhancement (LGE) cardiac magnetic resonance (MR) images during free breathing. Inversion recovery cardiac real-time images with a temporal resolution of 50 ms were acquired using a spiral trajectory (IR-CRISPI) with a pre-emphasis based on the gradient system transfer function during free breathing. Functional and LGE cardiac MR images were reconstructed using a low-rank plus sparse model. Late gadolinium-enhancement appearance, image quality, and functional parameters of IR-CRISPI were compared with clinical standard balanced steady-state free precession breath-hold techniques in 10 patients. The acquisition of IR-CRISPI in free breathing of the entire left ventricle took 97 s on average. Bland-Altman analysis and Wilcoxon tests showed a higher artifact level for the breath-hold technique (p = 0.003), especially for arrhythmic patients or patients with dyspnea, but an increased noise level for IR-CRISPI of the LGE images (p = 0.01). The estimated transmural extent of the enhancement differed by not more than 25% and did not show a significant bias between the techniques (p = 0.50). The ascertained functional parameters were similar for the breath-hold technique and IR-CRISPI, that is, with a minor, nonsignificant (p = 0.16) mean difference of the ejection fraction of 2.3% and a 95% confidence interval from -4.8% to 9.4%. IR-CRISPI enables joint functional and LGE imaging in free breathing with good image quality but distinctly shorter scan times in comparison with breath-hold techniques.
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Affiliation(s)
- Johannes Portmann
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
| | - Tobias Wech
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
| | - Philipp Eirich
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
| | - Julius F Heidenreich
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
| | - Nils Petri
- Medizinische Klinik und Poliklinik I, University Hospital of Würzburg, Würzburg, Germany
| | - Bernhard Petritsch
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
| | - Thorsten A Bley
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
| | - Herbert Köstler
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany
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13
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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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14
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Muscogiuri G, Guglielmo M, Serra A, Gatti M, Volpato V, Schoepf UJ, Saba L, Cau R, Faletti R, McGill LJ, De Cecco CN, Pontone G, Dell’Aversana S, Sironi S. Multimodality Imaging in Ischemic Chronic Cardiomyopathy. J Imaging 2022; 8:jimaging8020035. [PMID: 35200737 PMCID: PMC8877428 DOI: 10.3390/jimaging8020035] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 01/23/2022] [Accepted: 01/27/2022] [Indexed: 02/01/2023] Open
Abstract
Ischemic chronic cardiomyopathy (ICC) is still one of the most common cardiac diseases leading to the development of myocardial ischemia, infarction, or heart failure. The application of several imaging modalities can provide information regarding coronary anatomy, coronary artery disease, myocardial ischemia and tissue characterization. In particular, coronary computed tomography angiography (CCTA) can provide information regarding coronary plaque stenosis, its composition, and the possible evaluation of myocardial ischemia using fractional flow reserve CT or CT perfusion. Cardiac magnetic resonance (CMR) can be used to evaluate cardiac function as well as the presence of ischemia. In addition, CMR can be used to characterize the myocardial tissue of hibernated or infarcted myocardium. Echocardiography is the most widely used technique to achieve information regarding function and myocardial wall motion abnormalities during myocardial ischemia. Nuclear medicine can be used to evaluate perfusion in both qualitative and quantitative assessment. In this review we aim to provide an overview regarding the different noninvasive imaging techniques for the evaluation of ICC, providing information ranging from the anatomical assessment of coronary artery arteries to the assessment of ischemic myocardium and myocardial infarction. In particular this review is going to show the different noninvasive approaches based on the specific clinical history of patients with ICC.
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Affiliation(s)
- Giuseppe Muscogiuri
- Department of Radiology, Istituto Auxologico Italiano IRCCS, San Luca Hospital, University Milano Bicocca, 20149 Milan, Italy
- Correspondence: ; Tel.: +39-329-404-9840
| | - Marco Guglielmo
- Department of Cardiology, Division of Heart and Lungs, Utrecht University, Utrecht University Medical Center, 3584 Utrecht, The Netherlands;
| | - Alessandra Serra
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, 09042 Cagliari, Italy; (A.S.); (L.S.); (R.C.)
| | - Marco Gatti
- Radiology Unit, Department of Surgical Sciences, University of Turin, 10124 Turin, Italy; (M.G.); (R.F.)
| | - Valentina Volpato
- Department of Cardiac, Neurological and Metabolic Sciences, Istituto Auxologico Italiano IRCCS, San Luca Hospital, University Milano Bicocca, 20149 Milan, Italy;
| | - Uwe Joseph Schoepf
- Department of Radiology and Radiological Science, MUSC Ashley River Tower, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, USA; (U.J.S.); (L.J.M.)
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, 09042 Cagliari, Italy; (A.S.); (L.S.); (R.C.)
| | - Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, 09042 Cagliari, Italy; (A.S.); (L.S.); (R.C.)
| | - Riccardo Faletti
- Radiology Unit, Department of Surgical Sciences, University of Turin, 10124 Turin, Italy; (M.G.); (R.F.)
| | - Liam J. McGill
- Department of Radiology and Radiological Science, MUSC Ashley River Tower, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, USA; (U.J.S.); (L.J.M.)
| | - Carlo Nicola De Cecco
- Division of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA 30322, USA;
| | | | - Serena Dell’Aversana
- Department of Radiology, Ospedale S. Maria Delle Grazie—ASL Napoli 2 Nord, 80078 Pozzuoli, Italy;
| | - Sandro Sironi
- School of Medicine and Post Graduate School of Diagnostic Radiology, University of Milano-Bicocca, 20126 Milan, Italy;
- Department of Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
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15
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The Role of Multimodality Imaging in Athlete's Heart Diagnosis: Current Status and Future Directions. J Clin Med 2021; 10:jcm10215126. [PMID: 34768646 PMCID: PMC8584488 DOI: 10.3390/jcm10215126] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 10/26/2021] [Accepted: 10/29/2021] [Indexed: 12/30/2022] Open
Abstract
“Athlete’s heart” is a spectrum of morphological and functional changes which occur in the heart of people who practice physical activity. When athlete’s heart occurs with its most marked expression, it may overlap with a differential diagnosis with certain structural cardiac diseases, including cardiomyopathies, valvular diseases, aortopathies, myocarditis, and coronary artery anomalies. Identifying the underlying cardiac is essential to reduce the potential for sudden cardiac death. For this purpose, a spectrum of imaging modalities, including rest and exercise stress echocardiography, speckle tracking echocardiography, cardiac magnetic resonance, computed tomography, and nuclear scintigraphy, can be undertaken. The objective of this review article is to provide to the clinician a practical step-by-step approach, aiming at distinguishing between extreme physiology and structural cardiac disease during the athlete’s cardiovascular evaluation.
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16
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Abstract
Ischemic cardiomyopathy (ICM) is one of the most common causes of congestive heart failure. In patients with ICM, tissue characterization with cardiac magnetic resonance imaging (CMR) allows for evaluation of myocardial abnormalities in acute and chronic settings. Myocardial edema, microvascular obstruction (MVO), intracardiac thrombus, intramyocardial hemorrhage, and late gadolinium enhancement of the myocardium are easily depicted using standard CMR sequences. In the acute setting, tissue characterization is mainly focused on assessment of ventricular thrombus and MVO, which are associated with poor prognosis. Conversely, in chronic ICM, it is important to depict late gadolinium enhancement and myocardial ischemia using stress perfusion sequences. Overall, with CMR's ability to accurately characterize myocardial tissue in acute and chronic ICM, it represents a valuable diagnostic and prognostic imaging method for treatment planning. In particular, tissue characterization abnormalities in the acute setting can provide information regarding the patients that may develop major adverse cardiac event and show the presence of ventricular thrombus; in the chronic setting, evaluation of viable myocardium can be fundamental for planning myocardial revascularization. In this review, the main findings on tissue characterization are illustrated in acute and chronic settings using qualitative and quantitative tissue characterization.
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17
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Detection of early phenotype cardiac sarcoidosis by cardiovascular magnetic resonance. Curr Opin Pulm Med 2021; 27:478-483. [PMID: 34261086 DOI: 10.1097/mcp.0000000000000808] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
PURPOSE OF REVIEW Cardiac sarcoidosis has high prevalence in sarcoidosis patients and contributes to significant morbidity and mortality. Early detection of cardiac sarcoidosis is essential to improving patients' symptoms and cardiovascular outcomes. RECENT FINDINGS Cardiovascular magnetic resonance imaging (CMR) is an excellent diagnostic modality for cardiac sarcoidosis. However, early phenotypes of cardiac sarcoidosis have more mild imaging phenotypes. These mild and sometimes subtle imaging phenotypes of cardiac sarcoidosis have lower diagnostic sensitivity and specificity for cardiac sarcoidosis by CMR when compared with more severe imaging phenotypes of cardiac sarcoidosis. In addition, many sarcoidosis patient cohorts frequently have heterogenous potential alternative etiologies for mild myocardial disease detected by mild late gadolinium enhancement (LGE) findings. In early phenotype cardiac sarcoidosis, analysis of the LGE pattern and location can improve the diagnostic specificity of these mild LGE findings. SUMMARY The current review focuses on the current strengths and challenges in CMR detection of early phenotypes of cardiac sarcoidosis by the LGE technique.
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Image Quality and Reliability of a Novel Dark-Blood Late Gadolinium Enhancement Sequence in Ischemic Cardiomyopathy. J Thorac Imaging 2021; 35:326-333. [PMID: 32845112 DOI: 10.1097/rti.0000000000000448] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE The aim of this study was to assess the reliability of a 2D dark-blood phase-sensitive late gadolinium enhancement sequence (2D-DBPSLGE) compared with 2D phase-sensitive inversion recovery late gadolinium enhancement sequence (2D-BBPSLGE) in patients with ischemic cardiomyopathy (ICM). MATERIALS AND METHODS A total of 73 patients with a clinical history of ICM were prospectively enrolled. The following endpoints were evaluated: (a) comparison of image quality between 2D-BBPSLGE and 2D-DBPSLGE for differentiation between blood pool-late gadolinium enhancement (LGE), remote myocardium-LGE, and blood pool-remote myocardium; (b) diagnostic accuracy of 2D-DBPSLGE compared with gold standard 2D-BBPSLGE for the evaluation of infarcted segments; (c) diagnostic accuracy of 2D-DBPSLGE for the evaluation of microvascular obstruction (MVO); (d) comparison of transmurality index between 2D-BBPSLGE and 2D-DBPSLGE; (e) comparison of papillary muscle hyperenhancement between 2D-BBPSLGE and 2D-DBPSLGE; inter-reader agreement for depiction of hyperenhanced segments in both LGE sequences. Data were analyzed using paired t test, Wilcoxon test, and McNemar test, and η coefficient and intercorrelation coefficient (ICC). RESULTS Image quality was superior for 2D-DBPSLGE for differentiation of blood pool-LGE (P<0.001). 2D-DBPSLGE, compared with 2D-BBPSLGE, showed a sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of 96.93%, 99.89%, 99.71%, 98.78, and 99.04%, respectively. Concerning MVO detection, 2D-DBPSLGE showed a sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of 66.67%, 100.00%, 100.00%, 80.95%, and 86.21%, respectively. 2D-DBPSLGE underestimated the transmurality (P=0.007) and identified papillary muscle hyperenhancement (P<0.001). Both LGE sequences showed comparable interobserver agreement for the evaluation of infarcted areas (2D-BBPSLGE: ICC 0.99;2D-DBPSLGE: ICC 0.99). CONCLUSIONS Compared with 2D-BBPSLGE, 2D-DBPSLGE sequences provide better differentiation between LGE and blood-pool, while underestimating LGE trasmurality and the presence of MVO.
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Milotta G, Munoz C, Kunze KP, Neji R, Figliozzi S, Chiribiri A, Hajhosseiny R, Masci PG, Prieto C, Botnar RM. 3D whole-heart grey-blood late gadolinium enhancement cardiovascular magnetic resonance imaging. J Cardiovasc Magn Reson 2021; 23:62. [PMID: 34024276 PMCID: PMC8142497 DOI: 10.1186/s12968-021-00751-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 03/29/2021] [Indexed: 12/30/2022] Open
Abstract
PURPOSE To develop a free-breathing whole-heart isotropic-resolution 3D late gadolinium enhancement (LGE) sequence with Dixon-encoding, which provides co-registered 3D grey-blood phase-sensitive inversion-recovery (PSIR) and complementary 3D fat volumes in a single scan of < 7 min. METHODS A free-breathing 3D PSIR LGE sequence with dual-echo Dixon readout with a variable density Cartesian trajectory with acceleration factor of 3 is proposed. Image navigators are acquired to correct both inversion recovery (IR)-prepared and reference volumes for 2D translational respiratory motion, enabling motion compensated PSIR reconstruction with 100% respiratory scan efficiency. An intermediate PSIR reconstruction is performed between the in-phase echoes to estimate the signal polarity which is subsequently applied to the IR-prepared water volume to generate a water grey-blood PSIR image. The IR-prepared water volume is obtained using a water/fat separation algorithm from the corresponding dual-echo readout. The complementary fat-volume is obtained after water/fat separation of the reference volume. Ten patients (6 with myocardial scar) were scanned with the proposed water/fat grey-blood 3D PSIR LGE sequence at 1.5 T and compared to breath-held grey-blood 2D LGE sequence in terms of contrast ratio (CR), contrast-to-noise ratio (CNR), scar depiction, scar transmurality, scar mass and image quality. RESULTS Comparable CRs (p = 0.98, 0.40 and 0.83) and CNRs (p = 0.29, 0.40 and 0.26) for blood-myocardium, scar-myocardium and scar-blood respectively were obtained with the proposed free-breathing 3D water/fat LGE and 2D clinical LGE scan. Excellent agreement for scar detection, scar transmurality, scar mass (bias = 0.29%) and image quality scores (from 1: non-diagnostic to 4: excellent) of 3.8 ± 0.42 and 3.6 ± 0.69 (p > 0.99) were obtained with the 2D and 3D PSIR LGE approaches with comparable total acquisition time (p = 0.29). Similar agreement in intra and inter-observer variability were obtained for the 2D and 3D acquisition respectively. CONCLUSION The proposed approach enabled the acquisition of free-breathing motion-compensated isotropic-resolution 3D grey-blood PSIR LGE and fat volumes. The proposed approach showed good agreement with conventional 2D LGE in terms of CR, scar depiction and scan time, while enabling free-breathing acquisition, whole-heart coverage, reformatting in arbitrary views and visualization of both water and fat information.
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Affiliation(s)
- Giorgia Milotta
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK.
| | - Camila Munoz
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK
| | - Karl P Kunze
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK
- MR Research Collaborations, Siemens Healthcare Limited, Frimley, UK
| | - Radhouene Neji
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK
- MR Research Collaborations, Siemens Healthcare Limited, Frimley, UK
| | - Stefano Figliozzi
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK
| | - Amedeo Chiribiri
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK
| | - Reza Hajhosseiny
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK
| | - Pier Giorgio Masci
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK
| | - Claudia Prieto
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK
- Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - René M Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK
- Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
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Abstract
PURPOSE OF REVIEW Autoimmune rheumatic diseases (ARDs) affect 8% of the population and approximately 78% of patients are women. Myocardial disease in ARDs is the endpoint of various pathophysiologic mechanisms including atherosclerosis, valvular disease, systemic, myocardial, and/or vascular inflammation, as well as myocardial ischemia and replacement/diffuse fibrosis. RECENT FINDINGS The increased risk of CVD in ARDs leads to excess comorbidity not fully explained by traditional cardiovascular risk factors. It seems that the chronic inflammatory status typically seen in ARDs, promotes both the development of myocardial inflammation/fibrosis and the acceleration of atherosclerosis. CMR (cardio-vascular magnetic resonance) is the ideal imaging modality for the evaluation of cardiac involvement in patients with ARDs, as it can simultaneously assess cardiac function and characterize myocardial tissues with regard to oedema and fibrosis. Due to its high spatial resolution, CMR is capable of identifying various disease entities such as myocardial oedema /inflammation, subendocardial vasculitis and myocardial fibrosis, that are often missed by other imaging modalities, notably at an early stage of development. Although generally accepted guidelines about the application of CMR in ARDs have not yet been formulated, according to our experience and the available published literature, we recommend CMR in ARD patientS with new-onset heart failure (HF), arrhythmia, for treatment evaluation/change or if there is any mismatch between patient symptoms and routine non-invasive evaluation.
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Węgiel M, Rakowski T. Circulating biomarkers as predictors of left ventricular remodeling after myocardial infarction. ADVANCES IN INTERVENTIONAL CARDIOLOGY 2021; 17:21-32. [PMID: 33868414 PMCID: PMC8039920 DOI: 10.5114/aic.2021.104764] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 12/19/2020] [Indexed: 12/31/2022] Open
Abstract
INTRODUCTION The main impact of myocardial infarction is shifting from acute mortality to adverse remodeling and chronic left ventricle dysfunction. Several circulating biomarkers are explored for better risk stratification of these patients. Biomarker testing is a very attractive idea, since it is non-invasive, not operator-dependent and widely available. AIM In the present paper we analyze data from the years 2005-2020 about circulating biomarkers of remodeling after myocardial infarction. MATERIAL AND METHODS We assessed 53 articles, which examined 160 relations between biomarkers and remodeling. We analyze inclusion criteria for individual studies, time points of serum collection and remodeling assessment as well as imaging methods. RESULTS The main groups of assessed biomarkers included B-type natriuretic peptides, markers of cardiomyocyte injury and necrosis, markers of inflammatory response, markers of extracellular matrix turnover, microRNAs and hormones. The most common method of remodeling assessment was echocardiography and the most frequent time point for remodeling evaluation was 6 months. CONCLUSIONS The present analysis shows that although a relatively large number biomarkers were tested, selecting one ideal marker is still a challenge. A combination of biomarkers from different groups might be appropriate for predicting remodeling. Data presented in this analysis might be helpful for designing future studies, evaluating clinical use of an individual biomarker or a combination of different biomarkers.
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Affiliation(s)
- Michał Węgiel
- 2 Department of Cardiology, Jagiellonian University Medical College, Krakow, Poland
| | - Tomasz Rakowski
- 2 Department of Cardiology, Jagiellonian University Medical College, Krakow, Poland
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22
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Correia T, Ginami G, Rashid I, Nordio G, Hajhosseiny R, Ismail TF, Neji R, Botnar RM, Prieto C. Accelerated high-resolution free-breathing 3D whole-heart T 2-prepared black-blood and bright-blood cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2020; 22:88. [PMID: 33317570 PMCID: PMC7737390 DOI: 10.1186/s12968-020-00691-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 11/18/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The free-breathing 3D whole-heart T2-prepared Bright-blood and black-blOOd phase SensiTive inversion recovery (BOOST) cardiovascular magnetic resonance (CMR) sequence was recently proposed for simultaneous bright-blood coronary CMR angiography and black-blood late gadolinium enhancement (LGE) imaging. This sequence enables simultaneous visualization of cardiac anatomy, coronary arteries and fibrosis. However, high-resolution (< 1.4 × 1.4 × 1.4 mm3) fully-sampled BOOST requires long acquisition times of ~ 20 min. METHODS In this work, we propose to extend a highly efficient respiratory-resolved motion-corrected reconstruction framework (XD-ORCCA) to T2-prepared BOOST to enable high-resolution 3D whole-heart coronary CMR angiography and black-blood LGE in a clinically feasible scan time. Twelve healthy subjects were imaged without contrast injection (pre-contrast BOOST) and 10 patients with suspected cardiovascular disease were imaged after contrast injection (post-contrast BOOST). A quantitative analysis software was used to compare accelerated pre-contrast BOOST against the fully-sampled counterpart (vessel sharpness and length of the left and right coronary arteries). Moreover, three cardiologists performed diagnostic image quality scoring for clinical 2D LGE and both bright- and black-blood 3D BOOST imaging using a 4-point scale (1-4, non-diagnostic-fully diagnostic). A two one-sided test of equivalence (TOST) was performed to compare the pre-contrast BOOST images. Nonparametric TOST was performed to compare post-contrast BOOST image quality scores. RESULTS The proposed method produces images from 3.8 × accelerated non-contrast-enhanced BOOST acquisitions with comparable vessel length and sharpness to those obtained from fully- sampled scans in healthy subjects. Moreover, in terms of visual grading, the 3D BOOST LGE datasets (median 4) and the clinical 2D counterpart (median 3.5) were found to be statistically equivalent (p < 0.05). In addition, bright-blood BOOST images allowed for visualization of the proximal and middle left anterior descending and right coronary sections with high diagnostic quality (mean score > 3.5). CONCLUSIONS The proposed framework provides high-resolution 3D whole-heart BOOST images from a single free-breathing acquisition in ~ 7 min.
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Affiliation(s)
- Teresa Correia
- School of Biomedical Engineering and Imaging Sciences, King’s College London, Lambeth Wing, St Thomas’ Hospital, London, UK
| | - Giulia Ginami
- School of Biomedical Engineering and Imaging Sciences, King’s College London, Lambeth Wing, St Thomas’ Hospital, London, UK
| | - Imran Rashid
- School of Biomedical Engineering and Imaging Sciences, King’s College London, Lambeth Wing, St Thomas’ Hospital, London, UK
| | - Giovanna Nordio
- School of Biomedical Engineering and Imaging Sciences, King’s College London, Lambeth Wing, St Thomas’ Hospital, London, UK
| | - Reza Hajhosseiny
- School of Biomedical Engineering and Imaging Sciences, King’s College London, Lambeth Wing, St Thomas’ Hospital, London, UK
| | - Tevfik F. Ismail
- School of Biomedical Engineering and Imaging Sciences, King’s College London, Lambeth Wing, St Thomas’ Hospital, London, UK
| | - Radhouene Neji
- School of Biomedical Engineering and Imaging Sciences, King’s College London, Lambeth Wing, St Thomas’ Hospital, London, UK
- MR Research Collaborations, Siemens Healthcare Limited, Frimley, UK
| | - René M. Botnar
- School of Biomedical Engineering and Imaging Sciences, King’s College London, Lambeth Wing, St Thomas’ Hospital, London, UK
- Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Claudia Prieto
- School of Biomedical Engineering and Imaging Sciences, King’s College London, Lambeth Wing, St Thomas’ Hospital, London, UK
- Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
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Li W, Gao H, Mangion K, Berry C, Luo X. Apparent growth tensor of left ventricular post myocardial infarction - In human first natural history study. Comput Biol Med 2020; 129:104168. [PMID: 33341555 DOI: 10.1016/j.compbiomed.2020.104168] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 12/03/2020] [Accepted: 12/03/2020] [Indexed: 11/25/2022]
Abstract
An outstanding challenge in modelling biomechanics after myocardial infarction (MI) is to estimate the so-called growth tensor. Since it is impossible to track pure growth induced geometry change from in vivo magnetic resonance images alone, in this work, we propose a way of estimating a surrogate or apparent growth tensor of the human left ventricle using cine magnetic resonance (CMR) and late gadolinium enhanced (LGE) images of 16 patients following acute MI. The apparent growth tensor is evaluated at four time-points following myocardial reperfusion: 4-12 h (baseline), 3 days, 10 days and 7 months. We have identified three different growth patterns classified as the Dilation, No-Change and Shrinkage groups defined by the left ventricle end-diastole cavity volume change from baseline. We study the- trends in both the infarct and remote regions. Importantly, although the No-Change group has little change in the ventricular cavity volume, significant remodelling changes are seen within the myocardial wall, both in the infarct and remote regions. Through statistical analysis, we show that the growth tensor invariants can be used as effective biomarkers for adverse and favourable remodelling of the heart from 10 days onwards post-MI with statistically significant changes over time, in contrast to most of the routine clinical indices. We believe this is the first time that the apparent growth tensor has been estimated from in vivo CMR images post-MI. Our study not only provides much-needed information for understanding growth and remodelling in the human heart following acute MI, but also identifies novel biomarker for assessing heart disease progression.
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Affiliation(s)
- Wenguang Li
- School of Engineering, University of Glasgow, UK.
| | - Hao Gao
- School of Mathematics and Statistics, University of Glasgow, UK.
| | - Kenneth Mangion
- College of Medical, Veterinary and Life Sciences, University of Glasgow, UK.
| | - Colin Berry
- College of Medical, Veterinary and Life Sciences, University of Glasgow, UK.
| | - Xiaoyu Luo
- School of Mathematics and Statistics, University of Glasgow, UK.
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Imamura S, Hirata K, Takemoto K, Orii M, Shimamura K, Shiono Y, Tanimoto T, Matsuo Y, Ino Y, Kitabata H, Kubo T, Tanaka A, Hozumi T, Akasaka T. Assessment of myocardial damage after acute myocardial infarction by diastolic deceleration time of coronary flow velocity using echocardiography and contrast‐enhanced magnetic resonance imaging. Echocardiography 2020; 37:1981-1988. [DOI: 10.1111/echo.14903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 09/25/2020] [Accepted: 10/03/2020] [Indexed: 11/30/2022] Open
Affiliation(s)
- Sari Imamura
- Department of Cariology Wakayama Medical University Wakayama Japan
| | - Kumiko Hirata
- Division of Medical Science Department of Education Osaka Educational University Osaka Japan
| | - Kazushi Takemoto
- Department of Cariology Wakayama Medical University Wakayama Japan
| | - Makoto Orii
- Department of Cariology Wakayama Medical University Wakayama Japan
| | | | - Yasutsugu Shiono
- Department of Cariology Wakayama Medical University Wakayama Japan
| | - Takashi Tanimoto
- Department of Cariology Wakayama Medical University Wakayama Japan
| | - Yoshiki Matsuo
- Department of Cariology Wakayama Medical University Wakayama Japan
| | - Yasushi Ino
- Department of Cariology Wakayama Medical University Wakayama Japan
| | | | - Takashi Kubo
- Department of Cariology Wakayama Medical University Wakayama Japan
| | - Atsushi Tanaka
- Department of Cariology Wakayama Medical University Wakayama Japan
| | - Takeshi Hozumi
- Department of Cariology Wakayama Medical University Wakayama Japan
| | - Takashi Akasaka
- Department of Cariology Wakayama Medical University Wakayama Japan
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Colbert CM, Shao J, Hollowed JJ, Currier JW, Ajijola OA, Fishbein GA, Duarte-Vogel SM, Dharmakumar R, Hu P, Nguyen KL. 3D-Printed Coronary Implants Are Effective for Percutaneous Creation of Swine Models with Focal Coronary Stenosis. J Cardiovasc Transl Res 2020; 13:1033-1043. [PMID: 32394352 PMCID: PMC9667863 DOI: 10.1007/s12265-020-10018-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 04/28/2020] [Indexed: 01/17/2023]
Abstract
Reliable, closed-chest methods for creating large animal models of acute myocardial hypoperfusion are limited. We demonstrated the feasibility and efficacy of using magnetic resonance (MR)-compatible 3D-printed coronary implants for establishing swine models of myocardial hypoperfusion. We designed, manufactured, and percutaneously deployed implants in 13 swine to selectively create focal coronary stenosis. To test the efficacy of the implants to cause hypoperfusion or ischemia in the perfused territory, we evaluated regional wall motion, myocardial perfusion, and infarction using MR imaging. The overall swine survival rate was 85% (11 of 13). The implant retrieval rate was 92% (12 of 13). Fluoroscopic angiography confirmed focal stenosis. Cine and perfusion MRI showed regional wall motion abnormalities and inducible ischemia, respectively. Late gadolinium enhancement and histopathology showed no myocardial infarction. Our minimally invasive technique has promising applications for validation of new diagnostic methods in cardiac MR. Graphical abstract Our new minimally invasive, percutaneous method for creating swine models of acute focal coronary stenosis can be used for magnetic resonance imaging studies of myocardial ischemia. Comparable to existing methods in its efficacy and reliability, this rapid prototyping technique will allow researchers to more easily conduct translational cardiac imaging studies of coronary artery disease in large animal models.
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Affiliation(s)
- Caroline M Colbert
- Physics and Biology in Medicine Graduate Program, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Jiaxin Shao
- Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - John J Hollowed
- Division of Cardiology, David Geffen School of Medicine at UCLA and VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd, MC 111E, Los Angeles, CA, 90073, USA
| | - Jesse W Currier
- Division of Cardiology, David Geffen School of Medicine at UCLA and VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd, MC 111E, Los Angeles, CA, 90073, USA
| | - Olujimi A Ajijola
- UCLA Cardiac Arrhythmia Center and Division of Cardiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Gregory A Fishbein
- Department of Pathology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Sandra M Duarte-Vogel
- Division of Laboratory Animal Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Rohan Dharmakumar
- Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center and Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Peng Hu
- Physics and Biology in Medicine Graduate Program, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
- Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Kim-Lien Nguyen
- Physics and Biology in Medicine Graduate Program, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
- Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
- Division of Cardiology, David Geffen School of Medicine at UCLA and VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd, MC 111E, Los Angeles, CA, 90073, USA.
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Arrhythmogenic risk of late gadolinium enhancement in patients with hypertrophic cardiomyopathy: Burden and location? Rev Port Cardiol 2020; 39:623-624. [PMID: 33162282 DOI: 10.1016/j.repc.2020.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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Montazeri M, Chan RH. Arrhythmogenic risk of late gadolinium enhancement in patients with hypertrophic cardiomyopathy: Burden and location? REVISTA PORTUGUESA DE CARDIOLOGIA (ENGLISH EDITION) 2020. [DOI: 10.1016/j.repce.2020.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
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28
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Lange T, Stiermaier T, Backhaus SJ, Boom PC, Kowallick JT, de Waha-Thiele S, Lotz J, Kutty S, Bigalke B, Gutberlet M, Feistritzer HJ, Desch S, Hasenfuß G, Thiele H, Eitel I, Schuster A. Functional and prognostic implications of cardiac magnetic resonance feature tracking-derived remote myocardial strain analyses in patients following acute myocardial infarction. Clin Res Cardiol 2020; 110:270-280. [PMID: 33083869 PMCID: PMC7862195 DOI: 10.1007/s00392-020-01747-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 09/14/2020] [Indexed: 01/15/2023]
Abstract
Background Cardiac magnetic resonance myocardial feature tracking (CMR-FT)-derived global strain assessments provide incremental prognostic information in patients following acute myocardial infarction (AMI). Functional analyses of the remote myocardium (RM) are scarce and whether they provide an additional prognostic value in these patients is unknown. Methods 1034 patients following acute myocardial infarction were included. CMR imaging and strain analyses as well as infarct size quantification were performed after reperfusion by primary percutaneous coronary intervention. The occurrence of major adverse cardiac events (MACE) within 12 months after the index event was defined as primary clinical endpoint. Results Patients with MACE had significantly lower RM circumferential strain (CS) compared to those without MACE. A cutoff value for RM CS of − 25.8% best identified high-risk patients (p < 0.001 on log-rank testing) and impaired RM CS was a strong predictor of MACE (HR 1.05, 95% CI 1.07–1.14, p = 0.003). RM CS provided further risk stratification among patients considered at risk according to established CMR parameters for (1) patients with reduced left ventricular ejection fraction (LVEF) ≤ 35% (p = 0.038 on log-rank testing), (2) patients with reduced global circumferential strain (GCS) > − 18.3% (p = 0.015 on log-rank testing), and (3) patients with large microvascular obstruction ≥ 1.46% (p = 0.002 on log-rank testing). Conclusion CMR-FT-derived RM CS is a useful parameter to characterize the response of the remote myocardium and allows improved stratification following AMI beyond commonly used parameters, especially of high-risk patients. Trial registration ClinicalTrials.gov, NCT00712101 and NCT01612312 Graphic abstract Defining remote segments (R) in the presence of infarct areas (I) for the analysis of remote circumferential strain (CS). Remote CS was significantly lower in patients who suffered major adverse cardiac events (MACE) and a cutoff value for remote CS of − 25.8% best identified high-risk patients. In addition, impaired remote CS ≥ − 25.8 % (Remote −) and preserved remote CS < − 25.8 % (Remote +) enabled further risk stratification when added to established parameters like left ventricular ejection fraction (LVEF), global circumferential strain (GCS) or microvascular obstruction (MVO).![]()
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Affiliation(s)
- Torben Lange
- Department of Cardiology and Pneumology, Göttingen Germany and German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, University Medical Center Göttingen, Georg-August University, Robert-Koch-Straße 40, Göttingen, Germany
| | - Thomas Stiermaier
- University Heart Center Lübeck, Medical Clinic II (Cardiology/Angiology/Intensive Care Medicine), University Hospital Schleswig-Holstein, Lübeck, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Lübeck, Germany
| | - Sören J Backhaus
- Department of Cardiology and Pneumology, Göttingen Germany and German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, University Medical Center Göttingen, Georg-August University, Robert-Koch-Straße 40, Göttingen, Germany
| | - Patricia C Boom
- Department of Cardiology and Pneumology, Göttingen Germany and German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, University Medical Center Göttingen, Georg-August University, Robert-Koch-Straße 40, Göttingen, Germany
| | - Johannes T Kowallick
- Institute for Diagnostic and Interventional Radiology, Göttingen Germany and German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, University Medical Center Göttingen, Georg-August University, Göttingen, Germany
| | - Suzanne de Waha-Thiele
- University Heart Center Lübeck, Medical Clinic II (Cardiology/Angiology/Intensive Care Medicine), University Hospital Schleswig-Holstein, Lübeck, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Lübeck, Germany
| | - Joachim Lotz
- Institute for Diagnostic and Interventional Radiology, Göttingen Germany and German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, University Medical Center Göttingen, Georg-August University, Göttingen, Germany
| | - Shelby Kutty
- Helen B. Taussig Heart Center, The Johns Hopkins Hospital and School of Medicine, Baltimore, MD, USA
| | - Boris Bigalke
- Department of Cardiology, Charité Campus Benjamin Franklin, University Medical Center Berlin, Berlin, Germany
| | - Matthias Gutberlet
- Institute of Diagnostic and Interventional Radiology, Heart Center Leipzig at University of Leipzig, Leipzig, Germany
| | - Hans-Josef Feistritzer
- Department of Internal Medicine/Cardiology and Leipzig Heart Institute, Heart Center Leipzig at University of Leipzig, Leipzig, Germany
| | - Steffen Desch
- Department of Internal Medicine/Cardiology and Leipzig Heart Institute, Heart Center Leipzig at University of Leipzig, Leipzig, Germany
| | - Gerd Hasenfuß
- Department of Cardiology and Pneumology, Göttingen Germany and German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, University Medical Center Göttingen, Georg-August University, Robert-Koch-Straße 40, Göttingen, Germany
| | - Holger Thiele
- Department of Internal Medicine/Cardiology and Leipzig Heart Institute, Heart Center Leipzig at University of Leipzig, Leipzig, Germany
| | - Ingo Eitel
- University Heart Center Lübeck, Medical Clinic II (Cardiology/Angiology/Intensive Care Medicine), University Hospital Schleswig-Holstein, Lübeck, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Lübeck, Germany
| | - Andreas Schuster
- Department of Cardiology and Pneumology, Göttingen Germany and German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, University Medical Center Göttingen, Georg-August University, Robert-Koch-Straße 40, Göttingen, Germany.
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29
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Basalay MV, Yellon DM, Davidson SM. Targeting myocardial ischaemic injury in the absence of reperfusion. Basic Res Cardiol 2020; 115:63. [PMID: 33057804 PMCID: PMC7560937 DOI: 10.1007/s00395-020-00825-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 09/28/2020] [Indexed: 12/11/2022]
Abstract
Sudden myocardial ischaemia causes an acute coronary syndrome. In the case of ST-elevation myocardial infarction (STEMI), this is usually caused by the acute rupture of atherosclerotic plaque and obstruction of a coronary artery. Timely restoration of blood flow can reduce infarct size, but ischaemic regions of myocardium remain in up to two-thirds of patients due to microvascular obstruction (MVO). Experimentally, cardioprotective strategies can limit infarct size, but these are primarily intended to target reperfusion injury. Here, we address the question of whether it is possible to specifically prevent ischaemic injury, for example in models of chronic coronary artery occlusion. Two main types of intervention are identified: those that preserve ATP levels by reducing myocardial oxygen consumption, (e.g. hypothermia; cardiac unloading; a reduction in heart rate or contractility; or ischaemic preconditioning), and those that increase myocardial oxygen/blood supply (e.g. collateral vessel dilation). An important consideration in these studies is the method used to assess infarct size, which is not straightforward in the absence of reperfusion. After several hours, most of the ischaemic area is likely to become infarcted, unless it is supplied by pre-formed collateral vessels. Therefore, therapies that stimulate the formation of new collaterals can potentially limit injury during subsequent exposure to ischaemia. After a prolonged period of ischaemia, the heart undergoes a remodelling process. Interventions, such as those targeting inflammation, may prevent adverse remodelling. Finally, harnessing of the endogenous process of myocardial regeneration has the potential to restore cardiomyocytes lost during infarction.
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Affiliation(s)
- M V Basalay
- The Hatter Cardiovascular Institute, 67 Chenies Mews, London, WC1E 6HX, UK
| | - D M Yellon
- The Hatter Cardiovascular Institute, 67 Chenies Mews, London, WC1E 6HX, UK
| | - S M Davidson
- The Hatter Cardiovascular Institute, 67 Chenies Mews, London, WC1E 6HX, UK.
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30
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Chan AT, Fox J, Perez Johnston R, Kim J, Brouwer LR, Grizzard J, Kim RJ, Matasar M, Shia J, Moskowitz CS, Steingart R, Weinsaft JW. Late Gadolinium Enhancement Cardiac Magnetic Resonance Tissue Characterization for Cancer-Associated Cardiac Masses: Metabolic and Prognostic Manifestations in Relation to Whole-Body Positron Emission Tomography. J Am Heart Assoc 2020; 8:e011709. [PMID: 31072171 PMCID: PMC6585339 DOI: 10.1161/jaha.118.011709] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Background Cardiac magnetic resonance (CMR) differentiates neoplasm from thrombus via contrast enhancement; positron emission tomography (PET) assesses metabolism. The relationship between CMR contrast enhancement and metabolism on PET is unknown. Methods and Results The population included 121 cancer patients undergoing CMR and 18F‐fluorodeoxyglucose (18F‐FDG)–PET, including 66 with cardiac masses and cancer‐matched controls. Cardiac mass etiology (neoplasm, thrombus) on CMR was defined by late gadolinium enhancement; PET was read blinded to CMR for diagnostic performance, then colocalized to measure FDG avidity. Of CMR‐evidenced thrombi (all nonenhancing), none were detected by PET. For neoplasm, PET yielded reasonable sensitivity (70–83%) and specificity (75–88%). Lesions undetected by PET were more likely to be highly mobile (P=0.001) despite similar size (P=0.33). Among nonmobile neoplasms, PET sensitivity varied in relation to extent of CMR‐evidenced avascularity; detection of diffusely enhancing or mixed lesions was higher versus predominantly avascular neoplasms (87% versus 63%). Colocalized analyses demonstrated 2‐ to 4‐fold higher FDG uptake in neoplasm versus thrombus (P<0.001); FDG uptake decreased stepwise when neoplasms were partitioned based on extent of avascularity on late gadolinium enhancement CMR (P≤0.001). Among patients with neoplasm, signal‐to‐noise ratio on late gadolinium enhancement CMR moderately correlated with standardized uptake values on PET (r=0.42–0.49, P<0.05). Mortality was higher among patients with CMR‐evidenced neoplasm versus controls (hazard ratio: 1.99 [95% CI, 1.1–3.6]; P=0.03) despite nonsignificant differences when partitioned via FDG avidity (hazard ratio: 1.56 [95% CI, 0.85–2.74]; P=0.16). Among FDG‐positive neoplasms detected concordantly with CMR, mortality risk versus cancer‐matched controls was equivalently increased (hazard ratio: 2.12 [95% CI, 1.01–4.44]; P=0.047). Conclusions CMR contrast enhancement provides a criterion for neoplasm that parallels FDG‐evidenced metabolic activity and stratifies prognosis. Extent of tissue avascularity on late gadolinium enhancement CMR affects cardiac mass identification by FDG‐PET.
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Affiliation(s)
- Angel T Chan
- 1 Department of Medicine Memorial Sloan Kettering Cancer Center New York NY.,2 Department of Radiology Memorial Sloan Kettering Cancer Center New York NY.,5 Department of Medicine Icahn School of Medicine at Mt. Sinai New York NY
| | - Josef Fox
- 2 Department of Radiology Memorial Sloan Kettering Cancer Center New York NY
| | | | - Jiwon Kim
- 6 Departments of Medicine and Radiology Weill Cornell Medical College New York NY
| | - Lillian R Brouwer
- 6 Departments of Medicine and Radiology Weill Cornell Medical College New York NY
| | - John Grizzard
- 7 Department of Radiology Virginia Commonwealth University Richmond VA
| | - Raymond J Kim
- 8 Duke Cardiovascular Magnetic Resonance Center Durham NC
| | - Mathew Matasar
- 1 Department of Medicine Memorial Sloan Kettering Cancer Center New York NY
| | - Jinru Shia
- 3 Department of Pathology Memorial Sloan Kettering Cancer Center New York NY
| | - Chaya S Moskowitz
- 4 Department of Epidemiology/Biostatistics Memorial Sloan Kettering Cancer Center New York NY
| | - Richard Steingart
- 1 Department of Medicine Memorial Sloan Kettering Cancer Center New York NY
| | - Jonathan W Weinsaft
- 1 Department of Medicine Memorial Sloan Kettering Cancer Center New York NY.,2 Department of Radiology Memorial Sloan Kettering Cancer Center New York NY.,6 Departments of Medicine and Radiology Weill Cornell Medical College New York NY
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31
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Hassan S, Barrett CJ, Crossman DJ. Imaging tools for assessment of myocardial fibrosis in humans: the need for greater detail. Biophys Rev 2020; 12:969-987. [PMID: 32705483 PMCID: PMC7429810 DOI: 10.1007/s12551-020-00738-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 07/08/2020] [Indexed: 02/06/2023] Open
Abstract
Myocardial fibrosis is recognized as a key pathological process in the development of cardiac disease and a target for future therapeutics. Despite this recognition, the assessment of fibrosis is not a part of routine clinical practice. This is primarily due to the difficulties in obtaining an accurate assessment of fibrosis non-invasively. Moreover, there is a clear discrepancy between the understandings of myocardial fibrosis clinically where fibrosis is predominately studied with comparatively low-resolution medical imaging technologies like MRI compared with the basic science laboratories where fibrosis can be visualized invasively with high resolution using molecularly specific fluorescence microscopes at the microscopic and nanoscopic scales. In this article, we will first review current medical imaging technologies for assessing fibrosis including echo and MRI. We will then highlight the need for greater microscopic and nanoscopic analysis of human tissue and how this can be addressed through greater utilization of human tissue available through endomyocardial biopsies and cardiac surgeries. We will then describe the relatively new field of molecular imaging that promises to translate research findings to the clinical practice by non-invasively monitoring the molecular signature of fibrosis in patients.
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Affiliation(s)
- Summer Hassan
- Department of Physiology, University of Auckland, Auckland, New Zealand
- Auckland City Hospital, Auckland District Health Board, Auckland, New Zealand
| | - Carolyn J Barrett
- Department of Physiology, University of Auckland, Auckland, New Zealand
| | - David J Crossman
- Department of Physiology, University of Auckland, Auckland, New Zealand.
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32
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Song L, Ma X, Zhao X, Zhao L, DeLano M, Fan Y, Wu B, Lu A, Tian J, He L. Validation of black blood late gadolinium enhancement (LGE) for evaluation of myocardial infarction in patients with or without pathological Q-wave on electrocardiogram (ECG). Cardiovasc Diagn Ther 2020; 10:124-134. [PMID: 32420092 DOI: 10.21037/cdt.2019.12.11] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Background The pathological Q-wave (QW) is an important indicator of infarcted myocardial volume indicating a worse prognosis compared to non-Q-wave (NQW) infarctions. Traditional classification divides infarcts into transmural and non-transmural based on QW and NQW. This view has been challenged by the advent of late gadolinium enhancement (LGE) MR imaging. Conventional LGE (Conv-LGE) detection of subendocardial MI is limited by bright blood pool. Dark Blood LGE imaging (DB-LGE) nulls the blood pool improving the conspicuity and accuracy of detection of subendocardial infarcts. We hypothesize that improved detection of subendocardial enhancement with DB-LGE will result in improved correlation of electrocardiogram (ECG) and extent of infarction. Methods Sixty-four clinically confirmed infarction patients were enrolled in this prospective study. All the participants underwent cardiac MR imaging including conv-LGE and DB-LGE. Twelve-lead ECG were performed on the same day. The patients were divided into QW and NQW groups by one experienced cardiologist. MI quantitation was by MI% (the ratio of MI volume to whole myocardial volume) and transmural grading, compared using paired t-test and Wilcoxon-test, respectively. The image quality obtained by Conv-LGE and DB-LGE were evaluated according to the signal intensity ratio (SIR) and contrast-to-noise ratio (CNR). Results Fifty-six subjects were enrolled in the final analysis [23 (41%) QW and 33 (59%) NQW infarcts]. For the QW cohort, both sequences classified infarcts as transmural in 21/23 (91%) subjects and subendocardial in 2/23 (9%). For the NQW cohort, both sequences classified infarcts as transmural in 16/33 (48%) subjects and subendocardial in 17/33 (52%). Using BB-LGE there were significant differences in detecting subendocardial infarcts in QW and NQW cohorts (Z=-5.85, P<0.001). The MI% of QW group was greater than in NQW group (24.2±10.3 vs.15.9±9.8, P=0.003). Compared to Conv-LGE, BB-LGE provided higher CNR and SIR between infarcted myocardium and blood pool (6.3±2.6 vs. 2.1±1.3, P<0.001; 5.4±1.9 vs. 1.3±0.2, P<0.001). BB-LGE detected more subendocardial infarcted segments in the QW group and NQW group (Z=-4.24, P<0.001; Z=-5.57, P<0.001). The larger MI% was displayed in BB-LGE than in Conv-LGE in both QW group and NQW group (24.2±10.3 vs. 22.6±10.3, P<0.001; 15.9±9.8 vs.14.6±9.6, P=0.001). Conclusions Compared to conventional LGE, DB-LGE can provide more accurate detection and characterization of infarction in terms of transmurality and subendocardial extent. This is important for evaluating QW and NQW MIs. Due to nulling the high signal of blood pool, DB-LGE can effectively improve the identification of subendocardial MI which may be missed on conventional LGE. Therefore, in both QW and NQW MIs, DB-LGE detects more subendocardial MIs and larger MI% is found. This may facilitate more accurate quantitative MR assessment of both QW and NQW MIs and further empower LGE volume as a predictive biomarker.
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Affiliation(s)
- Linsheng Song
- Department of Radiology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu 610072, China.,Department of Interventional Diagnosis and Treatment, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Xiaohai Ma
- Department of Interventional Diagnosis and Treatment, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Xinxiang Zhao
- Department of Radiology, The Second Affiliated Hospital of Kunming Medical University, Kunming 650101, China
| | - Lei Zhao
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Mark DeLano
- Division of Radiology and Biomedical Imaging, College of Human Medicine, Michigan State University, Advanced Radiology Services, PC, Spectrum Health, Grand Rapids, Michigan, USA
| | - Yang Fan
- GE Healthcare, Beijing 100176, China
| | - Bin Wu
- GE Healthcare, Beijing 100176, China
| | - Aijia Lu
- Department of Interventional Diagnosis and Treatment, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Jie Tian
- Department of Interventional Diagnosis and Treatment, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Liping He
- Department of Epidemiology and Biostatistics, School of Public Health, Kunming Medical University, Kunming 650500, China
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33
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Ben Driss A, Ben Driss Lepage C, Sfaxi A, Hakim M, Elhadad S, Tabet JY, Salhi A, Brandao Carreira V, Hattab M, Meurin P, Weber H, Ou P, Quignodon JF, Jondeau G, Laissy JP. Strain predicts left ventricular functional recovery after acute myocardial infarction with systolic dysfunction. Int J Cardiol 2020; 307:1-7. [PMID: 32093952 DOI: 10.1016/j.ijcard.2020.02.039] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 02/09/2020] [Accepted: 02/14/2020] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Regional and global longitudinal strain (RLS-GLS) are considered reliable indexes of myocardial viability in chronic ischemic patients and prediction of left ventricular (LV) functional recovery after acute myocardial infarction (MI) with preserved left ventricular ejection fraction (LVEF). We tested in the present study whether RLS and GLS could also identify transmural extent of myocardial scar and predict LV functional recovery and remodeling in patients with reduced LVEF after acute MI. METHODS Echocardiography and late gadolinium enhancement cardiac magnetic resonance (LGE-CMR) were performed in 71 patients with reduced LVEF (≤45%) after acute MI treated with acute percutaneous coronary intervention. At 8-month follow-up, echocardiography was repeated to determine global LV functional recovery and remodeling. RESULTS RLS was worse in transmural than in non-transmural infarcted segments (-6.6 ± 6.1% vs -10.3 ± 5.9%, p < 0.0001) and in non-transmural than in normal segments (-10.3 ± 5.9% vs -14.5 ± 6.4%, p < 0.0001). RLS > -12% had sensitivity of 78% and specificity of 69% to identify transmural infarcted segments (AUC = 0.79; 95% CI, 0.77-0.81, p < 0.0001). GLS > -11.3% had sensitivity of 53% and specificity of 100% to predict the absence of LV global functional improvement (AUC = 0.73, CI, 0.55-0.87, p = 0.01) at 8-month follow-up. GLS < -12.5% predicted the absence of adverse LV remodeling with sensitivity of 100% and specificity of 54% (AUC = 0.83; CI, 0.66-0.94, p < 0.0001). GLS > -11.5% was associated with a poor prognosis. CONCLUSIONS In patients with reduced LVEF after acute MI, RLS and GLS allow: (1) identification of transmural extent of myocardial scar and (2) predict LV global functional recovery and remodeling at 8-month follow-up.
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Affiliation(s)
- Ahmed Ben Driss
- Les Grands Prés, Centre de Réadaptation Cardiaque de la Brie, Villeneuve-Saint-Denis, France; Hôpital Bichat, Paris, France.
| | | | - Anis Sfaxi
- Grand Hôpital de l'Est Francilien, Jossigny, France
| | - Maher Hakim
- Grand Hôpital de l'Est Francilien, Jossigny, France
| | | | - Jean Yves Tabet
- Les Grands Prés, Centre de Réadaptation Cardiaque de la Brie, Villeneuve-Saint-Denis, France
| | - Ahmed Salhi
- Grand Hôpital de l'Est Francilien, Jossigny, France
| | | | | | - Philippe Meurin
- Les Grands Prés, Centre de Réadaptation Cardiaque de la Brie, Villeneuve-Saint-Denis, France
| | - Hélène Weber
- Les Grands Prés, Centre de Réadaptation Cardiaque de la Brie, Villeneuve-Saint-Denis, France
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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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35
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Palmisano A, Piccoli M, Monti CB, Canu T, Cirillo F, Napolitano A, Perani L, Signorelli P, Vignale D, Anastasia L, Esposito A. Single-shot morpho-functional and structural characterization of the left-ventricle in a mouse model of acute ischemia-reperfusion injury with an optimized 3D IntraGate cine FLASH sequence at 7T MR. Magn Reson Imaging 2020; 68:127-135. [PMID: 32004712 DOI: 10.1016/j.mri.2020.01.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 01/08/2020] [Accepted: 01/26/2020] [Indexed: 11/16/2022]
Abstract
Preclinical cardiac MR is challenging and time-consuming. A fast and comprehensive acquisition protocol and standardized image post-processing may improve preclinical research, reducing acquisition time, costs and variability of results. In the present study, we evaluated the feasibility of a contrast-enhanced 3D IntraGate steady-state cine sequence (ce-3D-IG-cine) with short acquisition time (11 min) for a single-shot combined characterization of left ventricle (LV) remodeling and infarct size (IS) in a mouse model of acute ischemia-reperfusion injury. Sixteen male C57BL/6N mice underwent 7T cardiac MR (Bruker, BioSpec 70/30) including optimized ce-3D-IG-cine (total scan time 11 min) at day 1, 5 and 28 after surgery. LV end-diastolic volume (EDVMR) and ejection fraction (EFMR) extracted from MR were compared to ones from short-axis (SA-EDVecho, SA-EFecho) and parasternal long-axis (LA-EDVecho, LA-EFecho) echocardiography. IS was manually and semiautomatically segmented from ce-3D-IG-cine using different standard deviation (SD +2, +3, +4, +5, +6 in respect to a reference tissue). Mice were sacrificed at day 28, immediately after imaging. IS at day 28 was compared to injury burden at histology. MR and echocardiographic morpho-functional parameters were compared, as IS from MR and histology. Bland-Altman plots were used to assess the agreement in ischemic burden segmentation. Volumetric and functional parameters measured on ce-3D-IG-cine correlated to the correspondent echocardiographic parameter (EDVMR vs SA-EDVecho: ρ = 0.813; EDVMR vs LA-EDVecho: ρ = 0.845; EFMR vs SA-EFecho ρ = 0.612; EFMR vs LA-EFecho ρ = 0.791; p < 0.001 in all cases). Manually segmented IS strongly correlated with the scar at histology (ρ = 0.904, p < 0.001). A threshold of +3SD showed the highest performance for semiautomatic assessment of IS compared to manual segmentation (ρ = 0.965, p < 0.001), with an overall reproducibility of 73%, and a peak reproducibility of 80% at day 1. The ce-3D-IG-cine sequence, manually or semiautomatically segmented using 3SD threshold, allows fast and comprehensive LV morpho-functional and structural characterization in myocardial ischemia-reperfusion injury model.
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Affiliation(s)
- Anna Palmisano
- Vita-Salute San Raffaele University, Milan, Italy; Preclinical Imaging Facility, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Marco Piccoli
- Stem Cells for Tissue Engineering Laboratory, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | | | - Tamara Canu
- Preclinical Imaging Facility, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Federica Cirillo
- Stem Cells for Tissue Engineering Laboratory, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | - Angela Napolitano
- Vita-Salute San Raffaele University, Milan, Italy; Preclinical Imaging Facility, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Laura Perani
- Preclinical Imaging Facility, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paola Signorelli
- Biochemistry and Molecular Biology Laboratory, Health Sciences Department, University of Milan, Milan, Italy
| | - Davide Vignale
- Preclinical Imaging Facility, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Luigi Anastasia
- Vita-Salute San Raffaele University, Milan, Italy; Stem Cells for Tissue Engineering Laboratory, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | - Antonio Esposito
- Vita-Salute San Raffaele University, Milan, Italy; Preclinical Imaging Facility, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.
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36
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Pelliccia A, Caselli S, Sharma S, Basso C, Bax JJ, Corrado D, D'Andrea A, D'Ascenzi F, Di Paolo FM, Edvardsen T, Gati S, Galderisi M, Heidbuchel H, Nchimi A, Nieman K, Papadakis M, Pisicchio C, Schmied C, Popescu BA, Habib G, Grobbee D, Lancellotti P. European Association of Preventive Cardiology (EAPC) and European Association of Cardiovascular Imaging (EACVI) joint position statement: recommendations for the indication and interpretation of cardiovascular imaging in the evaluation of the athlete's heart. Eur Heart J 2019; 39:1949-1969. [PMID: 29029207 DOI: 10.1093/eurheartj/ehx532] [Citation(s) in RCA: 188] [Impact Index Per Article: 37.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Accepted: 08/23/2017] [Indexed: 12/14/2022] Open
Affiliation(s)
- Antonio Pelliccia
- Institute of Sports Medicine and Science, Largo Piero Gabrielli, 1, 00197 Rome, Italy
| | - Stefano Caselli
- Institute of Sports Medicine and Science, Largo Piero Gabrielli, 1, 00197 Rome, Italy
| | | | - Cristina Basso
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padua, Padua, Italy
| | - Jeroen J Bax
- Departmentt of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Domenico Corrado
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padua, Padua, Italy
| | - Antonello D'Andrea
- Department of Cardiology, Monaldi Hospital, Second University of Naples, Naples, Italy
| | - Flavio D'Ascenzi
- Division of Cardiology, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Fernando M Di Paolo
- Institute of Sports Medicine and Science, Largo Piero Gabrielli, 1, 00197 Rome, Italy
| | - Thor Edvardsen
- Department of Cardiology, Center of Cardiologic Innovation, Oslo University Hospital, University of Oslo, Oslo, Norway
| | | | - Maurizio Galderisi
- Department of Advanced Biomedical Sciences, Federico II University of Naples, Naples, Italy
| | - Hein Heidbuchel
- Jessa Hospital, Hasselt University and Heart Center Hasselt, Hasselt, Belgium
| | | | - Koen Nieman
- Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Cataldo Pisicchio
- Institute of Sports Medicine and Science, Largo Piero Gabrielli, 1, 00197 Rome, Italy
| | | | - Bogdan A Popescu
- Institute of Cardiovascular Diseases, University of Medicine and Pharmacy 'Carol Davila', Bucharest, Romania
| | - Gilbert Habib
- Department of Cardiology, Hôpital La Timone, Marseille, France
| | - Diederick Grobbee
- Department of Epidemiology, University Medical Center, Utrecht, The Netherlands
| | - Patrizio Lancellotti
- Department of Cardiology, GIGA Cardiovascular Sciences, University of Liège Hospital, Valvular Disease Clinic, Belgium
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37
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Katukuri N. Role of Cardiac MRI in Assessment of Myocardial Viability. Magn Reson Imaging 2019. [DOI: 10.5772/intechopen.85830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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38
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Lopez-Perez A, Sebastian R, Izquierdo M, Ruiz R, Bishop M, Ferrero JM. Personalized Cardiac Computational Models: From Clinical Data to Simulation of Infarct-Related Ventricular Tachycardia. Front Physiol 2019; 10:580. [PMID: 31156460 PMCID: PMC6531915 DOI: 10.3389/fphys.2019.00580] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Accepted: 04/25/2019] [Indexed: 12/20/2022] Open
Abstract
In the chronic stage of myocardial infarction, a significant number of patients develop life-threatening ventricular tachycardias (VT) due to the arrhythmogenic nature of the remodeled myocardium. Radiofrequency ablation (RFA) is a common procedure to isolate reentry pathways across the infarct scar that are responsible for VT. Unfortunately, this strategy show relatively low success rates; up to 50% of patients experience recurrent VT after the procedure. In the last decade, intensive research in the field of computational cardiac electrophysiology (EP) has demonstrated the ability of three-dimensional (3D) cardiac computational models to perform in-silico EP studies. However, the personalization and modeling of certain key components remain challenging, particularly in the case of the infarct border zone (BZ). In this study, we used a clinical dataset from a patient with a history of infarct-related VT to build an image-based 3D ventricular model aimed at computational simulation of cardiac EP, including detailed patient-specific cardiac anatomy and infarct scar geometry. We modeled the BZ in eight different ways by combining the presence or absence of electrical remodeling with four different levels of image-based patchy fibrosis (0, 10, 20, and 30%). A 3D torso model was also constructed to compute the ECG. Patient-specific sinus activation patterns were simulated and validated against the patient's ECG. Subsequently, the pacing protocol used to induce reentrant VTs in the EP laboratory was reproduced in-silico. The clinical VT was induced with different versions of the model and from different pacing points, thus identifying the slow conducting channel responsible for such VT. Finally, the real patient's ECG recorded during VT episodes was used to validate our simulation results and to assess different strategies to model the BZ. Our study showed that reduced conduction velocities and heterogeneity in action potential duration in the BZ are the main factors in promoting reentrant activity. Either electrical remodeling or fibrosis in a degree of at least 30% in the BZ were required to initiate VT. Moreover, this proof-of-concept study confirms the feasibility of developing 3D computational models for cardiac EP able to reproduce cardiac activation in sinus rhythm and during VT, using exclusively non-invasive clinical data.
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Affiliation(s)
- Alejandro Lopez-Perez
- Center for Research and Innovation in Bioengineering (Ci2B), Universitat Politècnica de València, Valencia, Spain
| | - Rafael Sebastian
- Computational Multiscale Simulation Lab (CoMMLab), Universitat de València, Valencia, Spain
| | - M Izquierdo
- INCLIVA Health Research Institute, Valencia, Spain.,Arrhythmia Unit, Cardiology Department, Hospital Clínico Universitario de Valencia, Valencia, Spain
| | - Ricardo Ruiz
- INCLIVA Health Research Institute, Valencia, Spain.,Arrhythmia Unit, Cardiology Department, Hospital Clínico Universitario de Valencia, Valencia, Spain
| | - Martin Bishop
- Division of Imaging Sciences & Biomedical Engineering, Department of Biomedical Engineering, King's College London, London, United Kingdom
| | - Jose M Ferrero
- Center for Research and Innovation in Bioengineering (Ci2B), Universitat Politècnica de València, Valencia, Spain
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39
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Montisci R, Ruscazio M, Tona F, Corbetti F, Sarais C, Marchetti MF, Cacciavillani L, Iliceto S, Perazzolo Marra M, Meloni L. Coronary flow reserve is related to the extension and transmurality of myocardial necrosis and predicts functional recovery after acute myocardial infarction. Echocardiography 2019; 36:844-853. [PMID: 31002185 DOI: 10.1111/echo.14337] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 03/06/2019] [Accepted: 03/21/2019] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Few studies have examined the effect of transmurality of myocardial necrosis on coronary microcirculation. The aim of this study was to examine the influence of cardiac magnetic resonance-derived (GE-MRI) structural determinants of coronary flow reserve (CFR) after anterior myocardial infarction (STEMI), and their predictive value on regional functional recovery. METHODS Noninvasive CFR and GE-MRI were studied in 37 anterior STEMI patients after primary coronary angioplasty. The wall motion score index in the left descending anterior coronary artery territory (A-WMSI) was calculated at admission and follow-up (FU). Recovery of regional left ventricular (LV) function was defined as the difference in A-WMSI at admission and FU. The necrosis score index (NSI) and transmurality score index (TSI) by GE-MRI were calculated in the risk area. Baseline (BMR) and hyperemic (HMR) microvascular resistance, arteriolar resistance index (ARI), and coronary resistance reserve (CRR) were calculated at the Doppler echocardiography. RESULTS Bivariate analysis indicated that the CPK and troponin I peak, heart rate, NSI, TSI, BMR, the ARI, and CRR were related to CFR. Multivariable analysis revealed that TSI was the only independent determinant of CFR. The CFR value of >2.27, identified as optimal by ROC analysis, was 77% specific and 73% sensitive with accuracy of 76% in identifying patients with functional recovery. CONCLUSIONS Preservation of microvascular function after AMI is related to the extent of transmurality of myocardial necrosis, is an important factor influencing regional LV recovery, and can be monitored by noninvasive CFR.
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Affiliation(s)
- Roberta Montisci
- Clinical Cardiology, Department of Medical Science and Public Health, University of Cagliari, Cagliari, Italy
| | - Massimo Ruscazio
- Clinical Cardiology, Department of Medical Science and Public Health, University of Cagliari, Cagliari, Italy
| | - Francesco Tona
- Clinical Cardiology, Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy
| | | | - Cristiano Sarais
- Clinical Cardiology, Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy
| | - Maria Francesca Marchetti
- Clinical Cardiology, Department of Medical Science and Public Health, University of Cagliari, Cagliari, Italy
| | - Luisa Cacciavillani
- Clinical Cardiology, Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy
| | - Sabino Iliceto
- Clinical Cardiology, Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy
| | - Martina Perazzolo Marra
- Clinical Cardiology, Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy
| | - Luigi Meloni
- Clinical Cardiology, Department of Medical Science and Public Health, University of Cagliari, Cagliari, Italy
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40
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Stephens NR, Restrepo CS, Saboo SS, Baxi AJ. Overview of complications of acute and chronic myocardial infarctions: revisiting pathogenesis and cross-sectional imaging. Postgrad Med J 2019; 95:439-450. [PMID: 30975728 DOI: 10.1136/postgradmedj-2018-136279] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Revised: 02/06/2019] [Accepted: 02/09/2019] [Indexed: 01/14/2023]
Abstract
Myocardial infarction (MI) remains one of the leading contributors to overall mortality and morbidity in the modern world, even with recent advances in medicine. Various complications can arise following an MI, particularly with delayed or inadequate treatment. Even though many of these complications are uncommon, they can have a significant impact on patient outcomes. Some of these complications can be diagnosed based on clinical, laboratory and echocardiographic evaluation. Other times, however, cardiac MR and multidetector CT are necessary in their diagnosis and proper evaluation. Accurate detection of these complications is an important aspect of optimising prompt and effective patient care, leading to better clinical outcomes. It is the goal of this article to review the role of cross-sectional imaging in patients with post-MI as well as the characteristic imaging findings and differential diagnosis of common and uncommon complications of MI.
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Affiliation(s)
- Nicholas R Stephens
- Radiology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Carlos S Restrepo
- Radiology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Sachin S Saboo
- Radiology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Ameya J Baxi
- Radiology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
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41
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Kellman P. Dark-Blood Late-Enhancement Imaging Improves Detection of Myocardial Infarction. JACC Cardiovasc Imaging 2018; 11:1770-1772. [DOI: 10.1016/j.jcmg.2017.10.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Accepted: 10/31/2017] [Indexed: 10/18/2022]
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42
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Development and testing of a deep learning-based strategy for scar segmentation on CMR-LGE images. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2018; 32:187-195. [PMID: 30460430 DOI: 10.1007/s10334-018-0718-4] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 11/01/2018] [Accepted: 11/08/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The aim of this paper is to investigate the use of fully convolutional neural networks (FCNNs) to segment scar tissue in the left ventricle from cardiac magnetic resonance with late gadolinium enhancement (CMR-LGE) images. METHODS A successful FCNN in the literature (the ENet) was modified and trained to provide scar-tissue segmentation. Two segmentation protocols (Protocol 1 and Protocol 2) were investigated, the latter limiting the scar-segmentation search area to the left ventricular myocardial tissue region. CMR-LGE from 30 patients with ischemic-heart disease were retrospectively analyzed, for a total of 250 images, presenting high variability in terms of scar dimension and location. Segmentation results were assessed against manual scar-tissue tracing using one-patient-out cross validation. RESULTS Protocol 2 outperformed Protocol 1 significantly (p value < 0.05), with median sensitivity and Dice similarity coefficient equal to 88.07% [inter-quartile range (IQR) 18.84%] and 71.25% (IQR 31.82%), respectively. DISCUSSION Both segmentation protocols were able to detect scar tissues in the CMR-LGE images but higher performance was achieved when limiting the search area to the myocardial region. The findings of this paper represent an encouraging starting point for the use of FCNNs for the segmentation of nonviable scar tissue from CMR-LGE images.
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43
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Hendriks T, Schurer RAJ, Al Ali L, van den Heuvel AFM, van der Harst P. Left ventricular restoration devices post myocardial infarction. Heart Fail Rev 2018; 23:871-883. [PMID: 29770903 PMCID: PMC6208878 DOI: 10.1007/s10741-018-9711-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Even in the era of percutaneous reperfusion therapy, left ventricular (LV) remodeling after myocardial infarction (MI) leading to heart failure remains a major health concern. Contractile dysfunction of the infarcted myocardium results in an increased pressure load, leading to maladaptive reshaping of the LV. Several percutaneous transcatheter procedures have been developed to deliver devices that restore LV shape and function. The purposes of this review are to discuss the spectrum of transcatheter devices that are available or in development for attenuation of adverse LV remodeling and to critically examine the available evidence for improvement of functional status and cardiovascular outcomes.
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Affiliation(s)
- Tom Hendriks
- University of Groningen, University Medical Center Groningen, Department of Cardiology, 9700RB, Groningen, The Netherlands
| | - Remco A J Schurer
- University of Groningen, University Medical Center Groningen, Department of Cardiology, 9700RB, Groningen, The Netherlands
| | - Lawien Al Ali
- University of Groningen, University Medical Center Groningen, Department of Cardiology, 9700RB, Groningen, The Netherlands
| | - Ad F M van den Heuvel
- University of Groningen, University Medical Center Groningen, Department of Cardiology, 9700RB, Groningen, The Netherlands
| | - Pim van der Harst
- University of Groningen, University Medical Center Groningen, Department of Cardiology, 9700RB, Groningen, The Netherlands.
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Sramko M, Hoogendoorn JC, Glashan CA, Zeppenfeld K. Advancement in cardiac imaging for treatment of ventricular arrhythmias in structural heart disease. Europace 2018; 21:383-403. [DOI: 10.1093/europace/euy150] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 07/23/2018] [Indexed: 12/28/2022] Open
Affiliation(s)
- Marek Sramko
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, ZA, Leiden, The Netherlands
| | - Jarieke C Hoogendoorn
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, ZA, Leiden, The Netherlands
| | - Claire A Glashan
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, ZA, Leiden, The Netherlands
| | - Katja Zeppenfeld
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, ZA, Leiden, The Netherlands
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45
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An DA, Chen BH, Rui-Wu, Shi RY, Bu J, Ge H, Hu J, Xu JR, Wu LM. Diagnostic performance of intravoxel incoherent motion diffusion-weighted imaging in the assessment of the dynamic status of myocardial perfusion. J Magn Reson Imaging 2018; 48:1602-1609. [PMID: 29734489 DOI: 10.1002/jmri.26179] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 04/16/2018] [Indexed: 11/08/2022] Open
Affiliation(s)
- Dong-Aolei An
- Department of Radiology; Renji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Bing-Hua Chen
- Department of Radiology; Renji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Rui-Wu
- Department of Radiology; Renji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Ruo-Yang Shi
- Department of Radiology; Renji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Jun Bu
- Department of Cardiology; Renji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Heng Ge
- Department of Cardiology; Renji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Jiani Hu
- Department of Radiology; Wayne State University; Detroit Michigan USA
| | - Jian-Rong Xu
- Department of Radiology; Renji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Lian-Ming Wu
- Department of Radiology; Renji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
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46
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Single-shot late Gd enhancement imaging of myocardial infarction with retrospectively adjustable contrast and heart-phase. Magn Reson Imaging 2018; 47:48-53. [DOI: 10.1016/j.mri.2017.10.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Revised: 10/23/2017] [Accepted: 10/31/2017] [Indexed: 12/12/2022]
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47
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Marwick TH, Taylor AJ. Contrast-Specific Imaging Without Contrast: An Echocardiographic Technique for the Detection of Myocardial Scar. JACC Cardiovasc Imaging 2018; 9:1252-1254. [PMID: 27832899 DOI: 10.1016/j.jcmg.2016.02.026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2016] [Accepted: 02/11/2016] [Indexed: 10/20/2022]
Affiliation(s)
| | - Andrew J Taylor
- Baker-IDI Heart and Diabetes Institute, Melbourne, Australia
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48
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Guaricci AI, Masci PG, Lorenzoni V, Schwitter J, Pontone G. CarDiac MagnEtic Resonance for Primary Prevention Implantable CardioVerter DebrillAtor ThErapy international registry: Design and rationale of the DERIVATE study. Int J Cardiol 2018; 261:223-227. [PMID: 29550015 DOI: 10.1016/j.ijcard.2018.03.043] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Revised: 03/03/2018] [Accepted: 03/09/2018] [Indexed: 10/17/2022]
Abstract
BACKGROUND Implantable cardioverter defibrillator (ICD) represents the most valuable sudden cardiac death (SCD) prophylactic strategy in patients with heart failure and severely reduced left ventricular ejection fraction (LVEF). To date, it is still unknown how to integrate the information given by cardiac magnetic resonance (CMR) into clinical and transthoracic echocardiography (TTE) work-up of non-ischemic cardiomyopathy (NICM) and ischemic cardiomyopathy (ICM) patients for accurate risk stratification. METHODS AND RESULTS DERIVATE is a prospective, international, multicenter, observational registry of NICM and ICM patients with chronic heart failure and reduced LVEF who will undergo clinical evaluation, TTE and CMR. The registry will enrol cohorts from 34 sites. Complete risk factor, clinical presentation, TTE and CMR data will be collected and each patient will be followed-up for outcomes. Primary end point of the study is all-cause mortality. Secondary end points are: cardiovascular death, SCD, aborted SCD, sustained ventricular tachycardia (VT), and major adverse cardiac events (MACE) defined as a composite endpoint of SCD, aborted SCD, and sustained VT. Specifically, we will determine CMR findings that predict outcomes, with incremental value over LVEF and NYHA classification. Secondary aims consist in providing a comprehensive clinical and imaging score and testing the contribution of machine learning to determine prognostic CMR parameters. CONCLUSIONS The final objective of the study consists in the identification of prognostic CMR parameters in a large prospective cohort for a better selection of patients with heart failure being worthy of primary prevention ICD therapy. (clinicaltrials.gov registration: RTT# NCT03352648).
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Affiliation(s)
- Andrea Igoren Guaricci
- Institute of Cardiovascular Disease, Department of Emergency and Organ Transplantation, University Hospital Policlinico of Bari, Bari, Italy
| | - Pier Giorgio Masci
- Cardiac MR Center (CRMC), Division of Cardiology, Cardiovascular Department, Lausanne University Hospital-CHUV, Lausanne, Vaud, Switzerland
| | | | - Jurg Schwitter
- Cardiac MR Center (CRMC), Division of Cardiology, Cardiovascular Department, Lausanne University Hospital-CHUV, Lausanne, Vaud, Switzerland
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Myocardial Salvage Imaging: Where Are We and Where Are We Heading? A Cardiac Magnetic Resonance Perspective. CURRENT CARDIOVASCULAR IMAGING REPORTS 2018. [DOI: 10.1007/s12410-018-9448-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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50
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Mastrodicasa D, Elgavish GA, Schoepf UJ, Suranyi P, van Assen M, Albrecht MH, De Cecco CN, van der Geest RJ, Hardy R, Mantini C, Griffith LP, Ruzsics B, Varga-Szemes A. Nonbinary quantification technique accounting for myocardial infarct heterogeneity: Feasibility of applying percent infarct mapping in patients. J Magn Reson Imaging 2018; 48:788-798. [PMID: 29446527 DOI: 10.1002/jmri.25973] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Accepted: 01/24/2018] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Binary threshold-based quantification techniques ignore myocardial infarct (MI) heterogeneity, yielding substantial misquantification of MI. PURPOSE To assess the technical feasibility of MI quantification using percent infarct mapping (PIM), a prototype nonbinary algorithm, in patients with suspected MI. STUDY TYPE Prospective cohort POPULATION: Patients (n = 171) with suspected MI referred for cardiac MRI. FIELD STRENGTH/SEQUENCE Inversion recovery balanced steady-state free-precession for late gadolinium enhancement (LGE) and modified Look-Locker inversion recovery (MOLLI) T1 -mapping on a 1.5T system. ASSESSMENT Infarct volume (IV) and infarct fraction (IF) were quantified by two observers based on manual delineation, binary approaches (2-5 standard deviations [SD] and full-width at half-maximum [FWHM] thresholds) in LGE images, and by applying the PIM algorithm in T1 and LGE images (PIMT1 ; PIMLGE ). STATISTICAL TEST IV and IF were analyzed using repeated measures analysis of variance (ANOVA). Agreement between the approaches was determined with Bland-Altman analysis. Interobserver agreement was assessed by intraclass correlation coefficient (ICC) analysis. RESULTS MI was observed in 89 (54.9%) patients, and 185 (38%) short-axis slices. IF with 2, 3, 4, 5SDs and FWHM techniques were 15.7 ± 6.6, 13.4 ± 5.6, 11.6 ± 5.0, 10.8 ± 5.2, and 10.0 ± 5.2%, respectively. The 5SD and FWHM techniques had the best agreement with manual IF (9.9 ± 4.8%) determination (bias 1.0 and 0.2%; P = 0.1426 and P = 0.8094, respectively). The 2SD and 3SD algorithms significantly overestimated manual IF (9.9 ± 4.8%; both P < 0.0001). PIMLGE measured significantly lower IF (7.8 ± 3.7%) compared to manual values (P < 0.0001). PIMLGE , however, showed the best agreement with the PIMT1 reference (7.6 ± 3.6%, P = 0.3156). Interobserver agreement was rated good to excellent for IV (ICCs between 0.727-0.820) and fair to good for IF (0.589-0.736). DATA CONCLUSION The application of the PIMLGE technique for MI quantification in patients is feasible. PIMLGE , with its ability to account for voxelwise MI content, provides significantly smaller IF than any thresholding technique and shows excellent agreement with the T1 -based reference. LEVEL OF EVIDENCE 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2018.
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Affiliation(s)
- Domenico Mastrodicasa
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, USA
- Department of Neuroscience and Imaging, Section of Diagnostic Imaging and Therapy - Radiology Division, SS. Annunziata Hospital, "G. d'Annunzio" University, Chieti, Italy
| | - Gabriel A Elgavish
- Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - U Joseph Schoepf
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Pal Suranyi
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Marly van Assen
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, USA
- University of Groningen, University Medical Center Groningen, Center for Medical Imaging - North East Netherlands, Groningen, The Netherlands
| | - Moritz H Albrecht
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, USA
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Carlo N De Cecco
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Rob J van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Rayphael Hardy
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Cesare Mantini
- Department of Neuroscience and Imaging, Section of Diagnostic Imaging and Therapy - Radiology Division, SS. Annunziata Hospital, "G. d'Annunzio" University, Chieti, Italy
| | - L Parkwood Griffith
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Balazs Ruzsics
- Department of Cardiology, Royal Liverpool and Broadgreen University Hospital, Liverpool, UK
| | - Akos Varga-Szemes
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, USA
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