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Chadalavada S, Fung K, Rauseo E, Lee AM, Khanji MY, Amir-Khalili A, Paiva J, Naderi H, Banik S, Chirvasa M, Jensen MT, Aung N, Petersen SE. Myocardial Strain Measured by Cardiac Magnetic Resonance Predicts Cardiovascular Morbidity and Death. J Am Coll Cardiol 2024; 84:648-659. [PMID: 39111972 PMCID: PMC11320766 DOI: 10.1016/j.jacc.2024.05.050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 04/11/2024] [Accepted: 05/07/2024] [Indexed: 08/16/2024]
Abstract
BACKGROUND Myocardial strain using cardiac magnetic resonance (CMR) is a sensitive marker for predicting adverse outcomes in many cardiac disease states, but the prognostic value in the general population has not been studied conclusively. OBJECTIVES The goal of this study was to assess the independent prognostic value of CMR feature tracking (FT)-derived LV global longitudinal (GLS), circumferential (GCS), and radial strain (GRS) metrics in predicting adverse outcomes (heart failure, myocardial infarction, stroke, and death). METHODS Participants from the UK Biobank population imaging study were included. Univariable and multivariable Cox models were used for each outcome and each strain marker (GLS, GCS, GRS) separately. The multivariable models were tested with adjustment for prognostically important clinical features and conventional global LV imaging markers relevant for each outcome. RESULTS Overall, 45,700 participants were included in the study (average age 65 ± 8 years), with a median follow-up period of 3 years. All univariable and multivariable models demonstrated that lower absolute GLS, GCS, and GRS were associated with increased incidence of heart failure, myocardial infarction, stroke, and death. All strain markers were independent predictors (incrementally above some respective conventional LV imaging markers) for the morbidity outcomes, but only GLS predicted death independently: (HR: 1.18; 95% CI: 1.07-1.30). CONCLUSIONS In the general population, LV strain metrics derived using CMR-FT in radial, circumferential, and longitudinal directions are strongly and independently predictive of heart failure, myocardial infarction, and stroke, but only GLS is independently predictive of death in an adult population cohort.
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Affiliation(s)
- Sucharitha Chadalavada
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom
| | - Kenneth Fung
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom
| | - Elisa Rauseo
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom
| | - Aaron M Lee
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom
| | - Mohammed Y Khanji
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom
| | | | - Jose Paiva
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom
| | - Hafiz Naderi
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom
| | - Shantanu Banik
- Circle Cardiovascular Imaging Inc, Calgary, Alberta, Canada
| | | | | | - Nay Aung
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom
| | - Steffen E Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom; Health Data Research UK, London, United Kingdom; Alan Turing Institute, The British Library, John Dodson House, London, United Kingdom.
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2
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Zhang M, Li Z, Wang Y, Chen L, Ren Y, Wu Y, Wang J, Lu Y. Left atrial and ventricular longitudinal strain by cardiac magnetic resonance feature tracking improves prognostic stratification of patients with ST-segment elevation myocardial infarction. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2024:10.1007/s10554-024-03174-z. [PMID: 38985217 DOI: 10.1007/s10554-024-03174-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 06/22/2024] [Indexed: 07/11/2024]
Abstract
We aimed to investigate the predictive value of left atrium (LA) and left ventricle (LV) longitudinal strain derived by CMR-FT early after ST-segment elevation myocardial infarction (STEMI) treated with primary percutaneous coronary intervention (pPCI). Patients with STEMI who received pPCI and completed CMR within the following week were enrolled. LA and LV longitudinal strain parameters were derived from cine CMR by FT; conventional CMR indexes were also performed. The primary endpoint was the occurrence of major cardiovascular adverse events (MACE), defined as a composite of death, reinfarction, and congestive heart failure (HF). 276 participants (median age, 57 years, IQR, 48-66 years; 85% men) were included in this study. CMR was usually completed on the 5 (IQR,4-7) days after pPCI. During a median follow-up of 16 months, MACE occurred in 35 (12.7%) participants. Multivariable Cox regression analysis showed that LA conduit strain (HR 0.91, 95%CI: 0.84, 0.98, p = 0.013) and LV global longitudinal strain (HR 1.17, 95%CI: 1.03, 1.34, p = 0.016) remained independently associated with MACE. Participants with impaired LA conduit strain (≤ 12.8%) and LV global longitudinal strain (> -13.1%) had a higher risk of MACE than those with preserved. Longitudinal strain of LA and LV could provide independent prognostic information in STEMI patients, and comprehensive assessment of Left atrial and ventricular longitudinal strain significantly improved the prognosis.
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Affiliation(s)
- Min Zhang
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Zhi Li
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Yiwen Wang
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Lei Chen
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Yanfei Ren
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Yixuan Wu
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Jiali Wang
- Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, China
| | - Yuan Lu
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China.
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3
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Janwetchasil P, Yindeengam A, Krittayaphong R. Prognostic value of global longitudinal strain in patients with preserved left ventricular systolic function: A cardiac magnetic resonance real-world study. J Cardiovasc Magn Reson 2024; 26:101057. [PMID: 38971500 PMCID: PMC11283226 DOI: 10.1016/j.jocmr.2024.101057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 05/29/2024] [Accepted: 06/29/2024] [Indexed: 07/08/2024] Open
Abstract
BACKGROUND Myocardial strain is a more sensitive parameter for cardiac function evaluation than left ventricular ejection fraction (LVEF). This study aimed to assess the predictive value of left ventricular global longitudinal strain (LV-GLS) by feature tracking-cardiac magnetic resonance (FT-CMR) imaging in patients with known or suspected coronary artery disease (CAD) with preserved left ventricular systolic function. METHODS This retrospective cohort analysis enrolled patients with known or suspected CAD who underwent cardiac magnetic resonance imaging from September 2017 to December 2019. LV-GLS was analyzed via feature-tracking analysis. Patients with LVEF <50% were excluded. The composite outcome comprised all-cause death, non-fatal myocardial infarction, and heart failure. RESULTS There was a total of 2613 patients. Mean follow-up duration was 39.7 ± 13.9 months. During follow-up, 194 patients (7.4%) experienced a composite outcome. The best cutoff of LV-GLS in the prediction of composite outcome from receiver operating characteristics was -14.4%. Patients were classified into 2 groups according to the LV-GLS; 1489 (57.0%) had LV-GLS <-14.4% and 1124 (43.0%) had LV-GLS ≥-14.4%. Patients with LV-GLS ≥-14.4% had a significantly higher rate of composite outcome than LV-GLS <-14.4% patients (3.59 vs. 1.39 per 100 person-years, respectively; p < 0.001). Multivariable analysis showed that patients with LV-GLS ≥-14.4% had a significantly higher risk of experiencing a composite outcome event compared to global longitudinal strain <-14.4% patients (adjusted hazard ratio: 1.83, 95% confidence interval: 1.28-2.61; p = 0.001). CONCLUSION LV-GLS by FT-CMR was shown to be useful for predicting the prognosis of patients with known or suspected CAD with preserved left ventricular systolic function. LV-GLS -14.4% was the identified cutoff for prognostic determination.
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Affiliation(s)
- Preeyaporn Janwetchasil
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Ahthit Yindeengam
- Division of Cardiology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Rungroj Krittayaphong
- Division of Cardiology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
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Chen Q, Zhang Z, Chen L, Zhou Z, Lu Y, Zhang C, Li C, Zhang Z, Chen W. Association between cardiac magnetic resonance ventricular strain and left ventricular thrombus in patients with ST-segment elevation myocardial infarction. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2024:10.1007/s10554-024-03163-2. [PMID: 38884697 DOI: 10.1007/s10554-024-03163-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 06/11/2024] [Indexed: 06/18/2024]
Abstract
BACKGROUND Myocardial strain can analyze early myocardial dysfunction after myocardial infarction (MI). However, the correlation between left ventricular (LV) strain (including regional and global strain) obtained by cardiac magnetic resonance (CMR) imaging and left ventricular thrombus (LVT) after ST-segment elevation myocardial infarction (STEMI) is unclear. METHODS The retrospective clinical observation study included patients with LVT (n = 20) and non-LVT (n = 195) who underwent CMR within two weeks after STEMI. CMR images were analyzed using CVI 42 (Circle Cardiovascular Imaging, Canada) to obtain LV strain values. Logistic regression analysis identified risk factors for LVT among baseline characteristics, CMR ventricular strain, and left ventricular ejection fraction (LVEF). Considering potential correlations between strains, the ability of LV strain to identify LVT was evaluated using 9 distinct models. Receiver operating characteristic curves were generated with GraphPad Prism, and the area under the curve (AUC) of LVEF, apical longitudinal strain (LS), and circumferential strain (CS) was calculated to determine their capacity to distinguish LVT. RESULTS Among 215 patients, 9.3% developed LVT, with a 14.5% incidence in those with anterior MI. Univariate regression indicated associations of LAD infarct-related artery, lower NT-proBNP, lower LVEF, and reduced global, midventricular, and apical strain with LVT. Further multivariable regression analysis showed that apical LS, LVEF and NT-proBNP were still independently related to LVT (Apical LS: OR = 1.14, 95%CI (1.01, 1.30), P = 0.042; LVEF: OR = 0.91, 95%CI (0.85, 0.97), P = 0.005; NT-proBNP: OR = 2.35, 95%CI (1.04, 5.31) ). CONCLUSION Reduced apical LS on CMR is independently associated with LVT after STEMI.
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Affiliation(s)
- Qing Chen
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Zeqing Zhang
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Lei Chen
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ziyu Zhou
- School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China
| | - Yuan Lu
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Chaoqun Zhang
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Chengzong Li
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Zhuoqi Zhang
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China.
| | - Wensu Chen
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China.
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Sachdeva S, Molossi S, Reaves-O’Neal D, Masand P, Doan TT. Wall motion assessment by feature tracking in pediatric patients with coronary anomalies undergoing dobutamine stress CMR. Front Cardiovasc Med 2024; 11:1380630. [PMID: 38919544 PMCID: PMC11196760 DOI: 10.3389/fcvm.2024.1380630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 05/27/2024] [Indexed: 06/27/2024] Open
Abstract
Background Left ventricular (LV) wall motion assessment is an important adjunct in addition to perfusion defects in assessing ischemic changes. This study aims to investigate the feasibility and utility of performing feature tracking (FT) in pediatric patients with coronary anomalies undergoing dobutamine stress CMR to assess wall motion abnormalities (WMA) and perfusion defects. Method This is a retrospective study where 10 patients with an inducible first-pass perfusion (FPP) defect and 10 without were selected. Global LV circumferential strain/strain rate (GCS/GCSR) was measured at rest and at peak stress (systole and diastole) using a commercially available feature tracking software. Peak GCS and GCSR were compared to indexed wall motion score (WMSI) between groups with and without FPP defect and in subjects with and without WMA. Results The median age of patients was 13.5 years (Q1, 11 years; Q3, 15 years). Five subjects had qualitatively WMA at peak stress. A moderate correlation of GCS with WMSI at peak stress (0.48, p = 0.026) and a significant difference between GCS at rest and stress in patients with no inducible WMA (p = 0.007) were seen. No significant difference was noted in GCS between rest and stress in patients with WMA (p = 0.13). There was a larger absolute GCS/GCSR at peak stress in subjects with no inducible FPP defect or WMA. Conclusion Smaller absolute GCS and a lack of significant change in GCS at peak stress in those with inducible WMA or perfusion defect are suggestive of compromised LV deformation in subjects with inducible WMA. Given these findings, GCS derived from CMR-FT may be used to objectively assess WMA in pediatric patients undergoing stress CMR.
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Affiliation(s)
- Shagun Sachdeva
- Pediatric Cardiology, Baylor College of Medicine, Houston, TX, United States
| | - Silvana Molossi
- Pediatric Cardiology, Baylor College of Medicine, Houston, TX, United States
| | - Dana Reaves-O’Neal
- Pediatric Cardiology, Baylor College of Medicine, Houston, TX, United States
| | - Prakash Masand
- Pediatric Radiology, Baylor College of Medicine, Houston, TX, United States
| | - Tam T. Doan
- Pediatric Cardiology, Baylor College of Medicine, Houston, TX, United States
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Gissler MC, Antiochos P, Ge Y, Heydari B, Gräni C, Kwong RY. Cardiac Magnetic Resonance Evaluation of LV Remodeling Post-Myocardial Infarction: Prognosis, Monitoring and Trial Endpoints. JACC Cardiovasc Imaging 2024:S1936-878X(24)00127-X. [PMID: 38819335 DOI: 10.1016/j.jcmg.2024.03.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 03/14/2024] [Indexed: 06/01/2024]
Abstract
Adverse left ventricular remodeling (ALVR) and subsequent heart failure after myocardial infarction (MI) remain a major cause of patient morbidity and mortality worldwide. Overt inflammation has been identified as the common pathway underlying myocardial fibrosis and development of ALVR post-MI. With its ability to simultaneously provide information about cardiac structure, function, perfusion, and tissue characteristics, cardiac magnetic resonance (CMR) is well poised to inform prognosis and guide early surveillance and therapeutics in high-risk cohorts. Further, established and evolving CMR-derived biomarkers may serve as clinical endpoints in prospective trials evaluating the efficacy of novel anti-inflammatory and antifibrotic therapies. This review provides an overview of post-MI ALVR and illustrates how CMR may help clinical adoption of novel therapies via mechanistic or prognostic imaging markers.
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Affiliation(s)
- Mark Colin Gissler
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA; Department of Cardiology and Angiology, University Heart Center Freiburg-Bad Krozingen, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Panagiotis Antiochos
- Cardiology and Cardiac MR Centre, University Hospital Lausanne, Lausanne, Switzerland
| | - Yin Ge
- Division of Cardiology, St Michael's Hospital, Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
| | - Bobak Heydari
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Raymond Y Kwong
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
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Zheng W, Guo Q, Guo R, Guo Y, Wang H, Xu L, Huo Y, Ai H, Que B, Wang X, Nie S. Predicting left ventricular remodeling post-MI through coronary physiological measurements based on computational fluid dynamics. iScience 2024; 27:109513. [PMID: 38600975 PMCID: PMC11004870 DOI: 10.1016/j.isci.2024.109513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 01/30/2024] [Accepted: 03/13/2024] [Indexed: 04/12/2024] Open
Abstract
Early detection of left ventricular remodeling (LVR) is crucial. While cardiac magnetic resonance (CMR) provides valuable information, it has limitations. Coronary angiography-derived fractional flow reserve (caFFR) and index of microcirculatory resistance (caIMR) offer viable alternatives. 157 patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention were prospectively included. 23.6% of patients showed LVR. Machine learning algorithms constructed three LVR prediction models: Model 1 incorporated clinical and procedural parameters, Model 2 added CMR parameters, and Model 3 included echocardiographic and functional parameters (caFFR and caIMR) with Model 1. The random forest algorithm showed robust performance, achieving AUC of 0.77, 0.84, and 0.85 for Models 1, 2, and 3. SHAP analysis identified top features in Model 2 (infarct size, microvascular obstruction, admission hemoglobin) and Model 3 (current smoking, caFFR, admission hemoglobin). Findings indicate coronary physiology and echocardiographic parameters effectively predict LVR in patients with STEMI, suggesting their potential to replace CMR.
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Affiliation(s)
- Wen Zheng
- Center for Coronary Artery Disease, Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China
| | - Qian Guo
- Center for Coronary Artery Disease, Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China
| | - Ruifeng Guo
- Center for Coronary Artery Disease, Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China
| | - Yingying Guo
- Center for Coronary Artery Disease, Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China
| | - Hui Wang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China
| | - Lei Xu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China
| | - Yunlong Huo
- Institute of Mechanobiology & Medical Engineering, School of Life Sciences & Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Hui Ai
- Center for Coronary Artery Disease, Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China
| | - Bin Que
- Center for Coronary Artery Disease, Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China
| | - Xiao Wang
- Center for Coronary Artery Disease, Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China
| | - Shaoping Nie
- Center for Coronary Artery Disease, Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China
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Corral Acero J, Lamata P, Eitel I, Zacur E, Evertz R, Lange T, Backhaus SJ, Stiermaier T, Thiele H, Bueno-Orovio A, Schuster A, Grau V. Comprehensive characterization of cardiac contraction for improved post-infarction risk assessment. Sci Rep 2024; 14:8951. [PMID: 38637609 PMCID: PMC11026383 DOI: 10.1038/s41598-024-59114-3] [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: 09/30/2023] [Accepted: 04/08/2024] [Indexed: 04/20/2024] Open
Abstract
This study aims at identifying risk-related patterns of left ventricular contraction dynamics via novel volume transient characterization. A multicenter cohort of AMI survivors (n = 1021) who underwent Cardiac Magnetic Resonance (CMR) after infarction was considered for the study. The clinical endpoint was the 12-month rate of major adverse cardiac events (MACE, n = 73), consisting of all-cause death, reinfarction, and new congestive heart failure. Cardiac function was characterized from CMR in 3 potential directions: by (1) volume temporal transients (i.e. contraction dynamics); (2) feature tracking strain analysis (i.e. bulk tissue peak contraction); and (3) 3D shape analysis (i.e. 3D contraction morphology). A fully automated pipeline was developed to extract conventional and novel artificial-intelligence-derived metrics of cardiac contraction, and their relationship with MACE was investigated. Any of the 3 proposed directions demonstrated its additional prognostic value on top of established CMR indexes, myocardial injury markers, basic characteristics, and cardiovascular risk factors (P < 0.001). The combination of these 3 directions of enhancement towards a final CMR risk model improved MACE prediction by 13% compared to clinical baseline (0.774 (0.771-0.777) vs. 0.683 (0.681-0.685) cross-validated AUC, P < 0.001). The study evidences the contribution of the novel contraction characterization, enabled by a fully automated pipeline, to post-infarction assessment.
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Affiliation(s)
- Jorge Corral Acero
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK.
| | - Pablo Lamata
- Department of Digital Twins for Healthcare, School of Biomedical Engineering and Imaging Sciences, King's College London, 4th Floor North Wing, St Thomas' Hospital, London, SE1 7EH, UK.
| | - Ingo Eitel
- Medical Clinic II, Cardiology, Angiology and Intensive Care Medicine, University Heart Centre Lübeck, Lübeck, Germany
- University Hospital Schleswig-Holstein, Lübeck, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Lübeck, Germany
| | - Ernesto Zacur
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK
| | - Ruben Evertz
- Department of Cardiology and Pneumology, University Medical Centre Göttingen, Georg-August University, Göttingen, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Lower Saxony, Göttingen, Germany
| | - Torben Lange
- Department of Cardiology and Pneumology, University Medical Centre Göttingen, Georg-August University, Göttingen, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Lower Saxony, Göttingen, Germany
| | - Sören J Backhaus
- Department of Cardiology, Campus Kerckhoff of the Justus-Liebig-University Giessen, Kerckhoff-Clinic, Bad Nauheim, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Bad Nauheim, Germany
| | - Thomas Stiermaier
- Medical Clinic II, Cardiology, Angiology and Intensive Care Medicine, University Heart Centre Lübeck, Lübeck, Germany
- University Hospital Schleswig-Holstein, Lübeck, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Lübeck, Germany
| | - Holger Thiele
- Department of Internal Medicine/Cardiology and Leipzig Heart Science, Heart Centre Leipzig at University of Leipzig, Leipzig, Germany
| | | | - Andreas Schuster
- Department of Cardiology and Pneumology, University Medical Centre Göttingen, Georg-August University, Göttingen, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Lower Saxony, Göttingen, Germany
| | - Vicente Grau
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK
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Chen H, Brunner FJ, Özden C, Wenzel UO, Neumann JT, Erley J, Saering D, Muellerleile K, Maas KJ, Schoennagel BP, Cavus E, Schneider JN, Blankenberg S, Koops A, Adam G, Tahir E. Left ventricular myocardial strain responding to chronic pressure overload in patients with resistant hypertension evaluated by feature-tracking CMR. Eur Radiol 2023; 33:6278-6289. [PMID: 37032365 PMCID: PMC10415476 DOI: 10.1007/s00330-023-09595-z] [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: 10/09/2022] [Revised: 01/10/2023] [Accepted: 03/03/2023] [Indexed: 04/11/2023]
Abstract
OBJECTIVES The study aimed to investigate the alterations of myocardial deformation responding to long-standing pressure overload and the effects of focal myocardial fibrosis using feature-tracking cardiac magnetic resonance (FT-CMR) in patients with resistant hypertension (RH). METHODS Consecutive RH patients were prospectively recruited and underwent CMR at a single institution. FT-CMR analyses based on cine images were applied to measure left ventricular (LV) peak systolic global longitudinal (GLS), radial (GRS), and circumferential strain (GCS). Functional and morphological CMR variables, and late gadolinium enhancement (LGE) imaging were also obtained. RESULTS A total of 50 RH patients (63 ± 12 years, 32 men) and 18 normotensive controls (57 ± 8 years, 12 men) were studied. RH patients had a higher average systolic blood pressure than controls (166 ± 21 mmHg vs. 116 ± 8 mmHg, p < 0.001) with the intake of 5 ± 1 antihypertensive drugs. RH patients showed increased LV mass index (78 ± 15 g/m2 vs. 61 ± 9 g/m2, p < 0.001), decreased GLS (- 16 ± 3% vs. - 19 ± 2%, p = 0.001) and GRS (41 ± 12% vs. 48 ± 8%, p = 0.037), and GCS was reduced by trend (- 17 ± 4% vs. - 19 ± 4%, p = 0.078). Twenty-one (42%) RH patients demonstrated a LV focal myocardial fibrosis (LGE +). LGE + RH patients had higher LV mass index (85 ± 14 g/m2 vs. 73 ± 15 g/m2, p = 0.007) and attenuated GRS (37 ± 12% vs. 44 ± 12%, p = 0.048) compared to LGE - RH patients, whereas GLS (p = 0.146) and GCS (p = 0.961) were similar. CONCLUSION Attenuation of LV GLS and GRS, and GCS decline by tendency, might be adaptative changes responding to chronic pressure overload. There is a high incidence of focal myocardial fibrosis in RH patients, which is associated with reduced LV GRS. CLINICAL RELEVANCE STATEMENT Feature-tracking CMR-derived myocardial strain offers insights into the influence of long-standing pressure overload and of a myocardial fibrotic process on cardiac deformation in patients with resistant hypertension. KEY POINTS • Variations of left ventricular strain are attributable to the degree of myocardial impairment in resistant hypertensive patients. • Focal myocardial fibrosis of the left ventricle is associated with attenuated global radial strain. • Feature-tracking CMR provides additional information on the attenuation of myocardial deformation responding to long-standing high blood pressure.
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Affiliation(s)
- Hang Chen
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Fabian J Brunner
- Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Cansu Özden
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ulrich O Wenzel
- Department of Internal Medicine, Nephrology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Johannes T Neumann
- Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Jennifer Erley
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Dennis Saering
- Information Technology and Image Processing, University of Applied Sciences, Wedel, Germany
| | - Kai Muellerleile
- Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Kai-Jonathan Maas
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Bjoern P Schoennagel
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ersin Cavus
- Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Jan N Schneider
- Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Stefan Blankenberg
- Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Andreas Koops
- Institute of Radiology and Interventional Therapy, Vivantes Auguste-Viktoria-Klinikum, Berlin, Germany
| | - Gerhard Adam
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Enver Tahir
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
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10
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Tijmes FS, Marschner C, Thavendiranathan P, Hanneman K. Magnetic Resonance Imaging of Cardiovascular Manifestations Following COVID-19. J Magn Reson Imaging 2023; 58:26-43. [PMID: 36951477 DOI: 10.1002/jmri.28677] [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: 01/18/2023] [Revised: 02/27/2023] [Accepted: 03/05/2023] [Indexed: 03/24/2023] Open
Abstract
Globally, over 650 million people have had COVID-19 due to infection with the SARS-Cov-2 virus. Cardiac complications in the acute infectious and early recovery phase were recognized early in the pandemic, including myocardial injury and inflammation. With a decrease in the number of acute COVID-19 related deaths, there has been increased interest in postacute sequela of COVID-19 (PASC) and other longer-term cardiovascular complications. A proportion of patients recovered from COVID-19 have persistent cardiac symptoms and are at risk of cardiovascular disease. Cardiovascular imaging, including MRI, plays an important role in the detection of cardiovascular manifestations of COVID-19 in both the acute and longer-term phases after COVID-19. The purpose of this review is to highlight the role of cardiovascular imaging in the diagnosis and risk stratification of patients with acute and chronic cardiovascular manifestations of COVID-19 with a focus on cardiac MRI. EVIDENCE LEVEL: 4. TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Felipe Sanchez Tijmes
- University Medical Imaging Toronto, Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
- Department of Medical Imaging, Toronto General Hospital, Peter Munk Cardiac Center, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada
- Department of Medical Imaging, Clinica Santa Maria, Universidad de los Andes, Santiago, Chile
| | - Constantin Marschner
- University Medical Imaging Toronto, Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
- Department of Medical Imaging, Clinica Santa Maria, Universidad de los Andes, Santiago, Chile
| | - Paaladinesh Thavendiranathan
- Department of Medical Imaging, Toronto General Hospital, Peter Munk Cardiac Center, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada
- Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada
| | - Kate Hanneman
- University Medical Imaging Toronto, Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
- Department of Medical Imaging, Toronto General Hospital, Peter Munk Cardiac Center, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada
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11
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Krljanac G, Apostolovic S, Mehmedbegovic Z, Nedeljkovic-Arsenovic O, Maksimovic R, Ilic I, Djokovic A, Savic L, Lasica R, Asanin M. Chronic or Changeable Infarct Size after Spontaneous Coronary Artery Dissection. Diagnostics (Basel) 2023; 13:diagnostics13091518. [PMID: 37174911 PMCID: PMC10177350 DOI: 10.3390/diagnostics13091518] [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: 03/05/2023] [Revised: 03/22/2023] [Accepted: 03/23/2023] [Indexed: 05/15/2023] Open
Abstract
Spontaneous coronary artery dissection (SCAD) could be the cause of acute myocardial infarction (AMI) and sudden cardiac death. Clinical presentations can vary considerably, but the most common is the elevation of cardiac biomarkers associated with chest discomfort. Different pathological etiology in comparison with Type 1 AMI is the underlying infarct size in this population. A 42-year-old previously healthy woman presented with SCAD. Detailed diagnostical processing and treatment which were performed could not prevent myocardial injury. The catheterization laboratory was the initial place for the establishment of a diagnosis and proper management. The management process can be very fast and sometimes additional imaging methods are necessary. Finding predictors of SCAD recurrence is challenging, as well as predictors of the resulting infarct scar size. Patients with recurrent clinical symptoms of chest pain, ST elevation, and complication represent a special group of interest. Therapeutic approaches for SCAD range from the "watch and wait" method to complete revascularization with the implantation of one or more stents or aortocoronary bypass grafting. The infarct size could be balanced through the correct therapeutical approach, and, proper multimodality imaging would be helpful in the assessment of infarct size.
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Affiliation(s)
- Gordana Krljanac
- University Clinical Center of Serbia, Cariology Clinic, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Svetlana Apostolovic
- Clinical Center of Nis, Cardiology Clinic, Faculty of Medicine, University of Nis, 18000 Niš, Serbia
| | - Zlatko Mehmedbegovic
- University Clinical Center of Serbia, Cariology Clinic, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Olga Nedeljkovic-Arsenovic
- University Clinical Center of Serbia, Center for Radiology and Magnetic Resonance Imaging, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Ruzica Maksimovic
- University Clinical Center of Serbia, Center for Radiology and Magnetic Resonance Imaging, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Ivan Ilic
- Institute of Cardiovascular Diseases "Dedinje", Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Aleksandra Djokovic
- University Hospital Center "Bezanijska Kosa", Department of Cardiology, Division of Interventional Cardiology, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Lidija Savic
- University Clinical Center of Serbia, Cariology Clinic, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Ratko Lasica
- University Clinical Center of Serbia, Cariology Clinic, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Milika Asanin
- University Clinical Center of Serbia, Cariology Clinic, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
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12
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Cardiac Magnetic Resonance Imaging in Appraising Myocardial Strain and Biomechanics: A Current Overview. Diagnostics (Basel) 2023; 13:diagnostics13030553. [PMID: 36766658 PMCID: PMC9914753 DOI: 10.3390/diagnostics13030553] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 01/30/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
Subclinical alterations in myocardial structure and function occur early during the natural disease course. In contrast, clinically overt signs and symptoms occur during late phases, being associated with worse outcomes. Identification of such subclinical changes is critical for timely diagnosis and accurate management. Hence, implementing cost-effective imaging techniques with accuracy and reproducibility may improve long-term prognosis. A growing body of evidence supports using cardiac magnetic resonance (CMR) to quantify deformation parameters. Tissue-tagging (TT-CMR) and feature-tracking CMR (FT-CMR) can measure longitudinal, circumferential, and radial strains and recent research emphasize their diagnostic and prognostic roles in ischemic heart disease and primary myocardial illnesses. Additionally, these methods can accurately determine LV wringing and functional dynamic geometry parameters, such as LV torsion, twist/untwist, LV sphericity index, and long-axis strain, and several studies have proved their utility in prognostic prediction in various cardiovascular patients. More recently, few yet important studies have suggested the superiority of fast strain-encoded imaging CMR-derived myocardial strain in terms of accuracy and significantly reduced acquisition time, however, more studies need to be carried out to establish its clinical impact. Herein, the current review aims to provide an overview of currently available data regarding the role of CMR in evaluating myocardial strain and biomechanics.
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13
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Das A, Kelly C, Ben-Arzi H, van der Geest RJ, Plein S, Dall’Armellina E. Acute intra-cavity 4D flow cardiovascular magnetic resonance predicts long-term adverse remodelling following ST-elevation myocardial infarction. J Cardiovasc Magn Reson 2022; 24:64. [PMID: 36404326 PMCID: PMC9677630 DOI: 10.1186/s12968-022-00889-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 09/08/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Despite advancements in percutaneous coronary intervention, a significant proportion of ST-elevation myocardial infarction (STEMI) survivors develop long-term adverse left ventricular (LV) remodelling, which is associated with poor prognosis. Adverse remodelling is difficult to predict, however four-dimensional (4D) flow cardiovascular magnetic resonance (CMR) can measure various aspects of LV intra-cavity flow beyond LV ejection fraction and is well equipped for exploring the underlying mechanical processes driving remodelling. The aim for this study was to compare acute 4D flow CMR parameters between patients who develop adverse remodelling with patients who do not. METHODS Fifty prospective 'first-event' STEMI patients underwent CMR 5 days post-reperfusion, which included cine-imaging, and 4D flow for assessing in-plane kinetic energy (KE), residual volume, peak-E and peak-A wave KE (indexed for LV end-diastolic volume [LVEDV]). All subjects underwent follow-up cine CMR imaging at 12 months to identify adverse remodelling (defined as 20% increase in LVEDV from baseline). Quantitative variables were compared using unpaired student's t-test. Tests were deemed statistically significant when p < 0.05. RESULTS Patients who developed adverse LV remodelling by 12 months had significantly higher in-plane KE (54 ± 12 vs 42 ± 10%, p = 0.02), decreased proportion of direct flow (27 ± 9% vs 11 ± 4%, p < 0.01), increased proportion of delayed ejection flow (22 ± 9% vs 12 ± 2, p < 0.01) and increased proportion of residual volume after 2 consecutive cardiac cycles (64 ± 14 vs 34 ± 14%, p < 0.01), in their acute scan. CONCLUSION Following STEMI, increased in-plane KE, reduced direct flow and increased residual volume in the acute scan were all associated with adverse LV remodelling at 12 months. Our results highlight the clinical utility of acute 4D flow in prognostic stratification in patients following myocardial infarction.
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Affiliation(s)
- Arka Das
- Biomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, and Leeds Teaching Hospitals NHS Trust, Leeds, LS2 9JT UK
| | - Christopher Kelly
- Biomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, and Leeds Teaching Hospitals NHS Trust, Leeds, LS2 9JT UK
| | - Hadar Ben-Arzi
- Biomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, and Leeds Teaching Hospitals NHS Trust, Leeds, LS2 9JT UK
| | | | - Sven Plein
- Biomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, and Leeds Teaching Hospitals NHS Trust, Leeds, LS2 9JT UK
| | - Erica Dall’Armellina
- Biomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, and Leeds Teaching Hospitals NHS Trust, Leeds, LS2 9JT UK
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14
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Wang Q, Wang J, Ma Y, Wang P, Li Y, Tian J, Yue X, Su G, Li B. Predictive value of myocardial strain on myocardial infarction size by cardiac magnetic resonance imaging in ST-segment elevation myocardial infarction with preserved left ventricular ejection fraction. Front Pharmacol 2022; 13:1015390. [PMID: 36313364 PMCID: PMC9613930 DOI: 10.3389/fphar.2022.1015390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 10/03/2022] [Indexed: 12/02/2022] Open
Abstract
Background: The correlation between myocardial strain and infraction size by cardiac magnetic resonance imaging in ST-segment elevation myocardial infarction (STEMI) with preserved left ventricular ejection fraction (LVEF) is not clear. Objective: To investigate the correlation between myocardial strain and myocardial infarction size in patients of acute STEMI with preserved LVEF. Materials and Methods: A retrospective study was conducted to assess 31 patients with acute ST-segment elevation myocardial infarction (STEMI)after primary percutaneous coronary intervention (PCI) who received cardiac magnetic resonance (CMR) imaging during hospitalization at the Central Hospital of Shandong First Medical University from 2019 to 2022 and whose echocardiography indicated preserved LVEF (LVEF≥50%). The control group consisted of 21 healthy adults who underwent CMR during the same period. We compared the CMR characteristics, global and segmental strain between the two groups. Furthermore, the correlation between the global strain and the segmental strain of the left ventricle and late gadolinium enhancement (LGE) were evaluated. Results: Compared with healthy controls, the left ventricular ejection fraction (LVEF) of STEMI patients with preserved LVEF was significantly decreased (p < 0.05). Moreover, the global radial strain (GRS) (24.09% [IQR:17.88–29.60%] vs. 39.56% [IQR:29.19–42.20%], p < 0.05), global circumferential strain (GCS) [−14.66% (IQR: 17.91–11.56%) vs. −19.26% (IQR: 21.03–17.73%), p < 0.05], and global longitudinal strains (GLS) (−8.88 ± 2.25% vs. −13.46 ± 2.63%, p < 0.05) were damaged in patients. Furthermore, GCS and GLS were associated with LGE size (%left ventricle) (GCS: r = 0.58, p < 0.05; GLS: r = 0.37, p < 0.05). In the multivariate model, we found that LGE size was significantly associated with GCS (β coefficient = 2.110, p = 0.016) but was not associated with GLS (β coefficient = −0.102, p = 0.900) and LVEF (β coefficient = 0.227, p = 0.354). The receiver operating characteristic (ROC) results showed that GCS emerged as the strongest LGE size (LGE >25%) prognosticator among strain parameters (AUC: 0.836 [95% CI, 0.692—0.981], sensitivity: 91%, specificity: 80%) and was significantly better (p = 0.001) than GLS [AUC: 0.761 (95% CI, 0.583—0.939), sensitivity: 64%, specificity: 85%] and LVEF [AUC: 0.673 (95% CI, 0.469—0.877), sensitivity: 73%, specificity: 70%]. Conclusion: Among STEMI patients with preserved LVEF after PCI, CMR-FT-derived GCS had superior diagnostic accuracy than GLS and LVEF in predicting myocardial infarction size.
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Affiliation(s)
- Qiang Wang
- Department of Cardiology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Jian Wang
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yingjie Ma
- Department of Cardiology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Peng Wang
- Department of Cardiology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yang Li
- Department of Cardiology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Jing Tian
- Department of Cardiology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | | | - Guohai Su
- Department of Cardiology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
- Research Center of Translational Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
- *Correspondence: Guohai Su, ; Bin Li,
| | - Bin Li
- Department of Cardiology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
- Research Center of Translational Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
- *Correspondence: Guohai Su, ; Bin Li,
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15
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Backhaus SJ, Aldehayat H, Kowallick JT, Evertz R, Lange T, Kutty S, Bigalke B, Gutberlet M, Hasenfuß G, Thiele H, Stiermaier T, Eitel I, Schuster A. Artificial intelligence fully automated myocardial strain quantification for risk stratification following acute myocardial infarction. Sci Rep 2022; 12:12220. [PMID: 35851282 PMCID: PMC9293901 DOI: 10.1038/s41598-022-16228-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 07/06/2022] [Indexed: 11/09/2022] Open
Abstract
Feasibility of automated volume-derived cardiac functional evaluation has successfully been demonstrated using cardiovascular magnetic resonance (CMR) imaging. Notwithstanding, strain assessment has proven incremental value for cardiovascular risk stratification. Since introduction of deformation imaging to clinical practice has been complicated by time-consuming post-processing, we sought to investigate automation respectively. CMR data (n = 1095 patients) from two prospectively recruited acute myocardial infarction (AMI) populations with ST-elevation (STEMI) (AIDA STEMI n = 759) and non-STEMI (TATORT-NSTEMI n = 336) were analysed fully automated and manually on conventional cine sequences. LV function assessment included global longitudinal, circumferential, and radial strains (GLS/GCS/GRS). Agreements were assessed between automated and manual strain assessments. The former were assessed for major adverse cardiac event (MACE) prediction within 12 months following AMI. Manually and automated derived GLS showed the best and excellent agreement with an intraclass correlation coefficient (ICC) of 0.81. Agreement was good for GCS and poor for GRS. Amongst automated analyses, GLS (HR 1.12, 95% CI 1.08-1.16, p < 0.001) and GCS (HR 1.07, 95% CI 1.05-1.10, p < 0.001) best predicted MACE with similar diagnostic accuracy compared to manual analyses; area under the curve (AUC) for GLS (auto 0.691 vs. manual 0.693, p = 0.801) and GCS (auto 0.668 vs. manual 0.686, p = 0.425). Amongst automated functional analyses, GLS was the only independent predictor of MACE in multivariate analyses (HR 1.10, 95% CI 1.04-1.15, p < 0.001). Considering high agreement of automated GLS and equally high accuracy for risk prediction compared to the reference standard of manual analyses, automation may improve efficiency and aid in clinical routine implementation.Trial registration: ClinicalTrials.gov, NCT00712101 and NCT01612312.
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Affiliation(s)
- Sören J Backhaus
- Department of Cardiology and Pneumology, University Medical Centre, Georg-August-University Göttingen, Robert-Koch-Str. 40, 37099, Göttingen, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site Göttingen, Göttingen, Germany
| | - Haneen Aldehayat
- Department of Cardiology and Pneumology, University Medical Centre, Georg-August-University Göttingen, Robert-Koch-Str. 40, 37099, Göttingen, Germany
| | - Johannes T Kowallick
- German Center for Cardiovascular Research (DZHK), Partner Site Göttingen, Göttingen, Germany.,University Medical Center Göttingen, Institute for Diagnostic and Interventional Radiology, Georg-August University, Göttingen, Germany
| | - Ruben Evertz
- Department of Cardiology and Pneumology, University Medical Centre, Georg-August-University Göttingen, Robert-Koch-Str. 40, 37099, Göttingen, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site Göttingen, Göttingen, Germany
| | - Torben Lange
- Department of Cardiology and Pneumology, University Medical Centre, Georg-August-University Göttingen, Robert-Koch-Str. 40, 37099, Göttingen, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site Göttingen, 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
| | - Gerd Hasenfuß
- Department of Cardiology and Pneumology, University Medical Centre, Georg-August-University Göttingen, Robert-Koch-Str. 40, 37099, Göttingen, Germany
| | - Holger Thiele
- Department of Internal Medicine/Cardiology, Heart Center Leipzig at University of Leipzig, Leipzig, 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
| | - 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, University Medical Centre, Georg-August-University Göttingen, Robert-Koch-Str. 40, 37099, Göttingen, Germany. .,German Center for Cardiovascular Research (DZHK), Partner Site Göttingen, Göttingen, Germany.
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16
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Gräni C, Stark AW, Fischer K, Fürholz M, Wahl A, Erne SA, Huber AT, Guensch DP, Vollenbroich R, Ruberti A, Dobner S, Heg D, Windecker S, Lanz J, Pilgrim T. Diagnostic performance of cardiac magnetic resonance segmental myocardial strain for detecting microvascular obstruction and late gadolinium enhancement in patients presenting after a ST-elevation myocardial infarction. Front Cardiovasc Med 2022; 9:909204. [PMID: 35911559 PMCID: PMC9329615 DOI: 10.3389/fcvm.2022.909204] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 06/30/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundMicrovascular obstruction (MVO) and Late Gadolinium Enhancement (LGE) assessed in cardiac magnetic resonance (CMR) are associated with adverse outcome in patients with ST-elevation myocardial infarction (STEMI). Our aim was to analyze the diagnostic performance of segmental strain for the detection of MVO and LGE.MethodsPatients with anterior STEMI, who underwent additional CMR were enrolled in this sub-study of the CARE-AMI trial. Using CMR feature tracking (FT) segmental circumferential peak strain (SCS) was measured and the diagnostic performance of SCS to discriminate MVO and LGE was assessed in a derivation and validation cohort.ResultsForty-eight STEMI patients (62 ± 12 years old), 39 (81%) males, who underwent CMR (i.e., mean 3.0 ± 1.5 days) after primary percutaneous coronary intervention (PCI) were included. All patients presented with LGE and in 40 (83%) patients, MVO was additionally present. Segments in all patients were visually classified and 146 (19%) segments showed MVO (i.e., LGE+/MVO+), 308 (40%) segments showed LGE and no MVO (i.e., LGE+/MVO–), and 314 (41%) segments showed no LGE (i.e., LGE–). Diagnostic performance of SCS for detecting MVO segments (i.e., LGE+/MVO+ vs. LGE+/MVO–, and LGE–) showed an AUC = 0.764 and SCS cut-off value was –11.2%, resulting in a sensitivity of 78% and a specificity of 67% with a positive predictive value (PPV) of 30% and a negative predictive value (NPV) of 94% when tested in the validation group. For LGE segments (i.e., LGE+/MVO+ and LGE+/MVO– vs. LGE–) AUC = 0.848 and SCS with a cut-off value of –13.8% yielded to a sensitivity of 76%, specificity of 74%, PPV of 81%, and NPV of 70%.ConclusionSegmental strain in STEMI patients was associated with good diagnostic performance for detection of MVO+ segments and very good diagnostic performance of LGE+ segments. Segmental strain may be useful as a potential contrast-free surrogate marker to improve early risk stratification in patients after primary PCI.
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Affiliation(s)
- Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- *Correspondence: Christoph Gräni,
| | - Anselm W. Stark
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Kady Fischer
- Department of Anesthesiology and Pain Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Monika Fürholz
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andreas Wahl
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Sophie A. Erne
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Adrian T. Huber
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Dominik P. Guensch
- Department of Anesthesiology and Pain Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - René Vollenbroich
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andrea Ruberti
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Stephan Dobner
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Dik Heg
- Clinical Trials Unit, University of Bern, Bern, Switzerland
| | - Stephan Windecker
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Jonas Lanz
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Thomas Pilgrim
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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17
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Biventricular Myocardial Strain Analysis in Patients with Pulmonary Arterial Hypertension Using Cardiac Magnetic Resonance Tissue-Tracking Technology. J Clin Med 2022; 11:jcm11082230. [PMID: 35456323 PMCID: PMC9025312 DOI: 10.3390/jcm11082230] [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] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 04/07/2022] [Accepted: 04/13/2022] [Indexed: 02/01/2023] Open
Abstract
To evaluate both left and right ventricular (LV and RV) function in patients with pulmonary arterial hypertension (PAH) using cardiac magnetic resonance tissue-tracking (CMR-TT) technology and explore its clinical value. Methods: A total of 79 participants (including 47 patients with PAH and 32 healthy controls) underwent cardiac magnetic resonance imaging (CMRI) with a short-axis balanced steady-state free precession (SSFP) sequence. The biventricular cardiac function parameters and strain parameters were obtained by postprocessing with CVI42 software. A comparative analysis was performed between the LV and RV strain parameters in all PAH patients and in PAH patients with reduced or preserved cardiac function. Results: The results showed preferable repeatability of CMR-TT in analyzing the global radial strain (GRS), circumferential strain (GCS), and longitudinal strain (GLS) of the left and right ventricles in the PAH group. The GRS, GCS, and GLS of the left and right ventricles except for LV GRS (LVGRS) of PAH patients were significantly lower than those of healthy controls (p < 0.05 for all). The GRS and GCS of the left and right ventricles showed a moderate correlation in the PAH group (r = 0.323, p = 0.02; r = 0.301, p = 0.04, respectively). PAH patients with preserved RV function (n = 9) showed significantly decreased global and segmental RS, CS, and LS of the right ventricles than healthy controls (p < 0.05 for all), except for basal RVGCS (RVGCS-b, p = 0.996). Only the LVGLS was significantly different between the PAH patients with preserved LV function (n = 32) and the healthy controls (−14.23 ± 3.01% vs. −16.79 ± 2.86%, p < 0.01). Conclusions: As a nonradioactive and noninvasive technique, CMR-TT has preferable feasibility and repeatability in quantitatively evaluating LV and RV strain parameters in PAH patients and can be used to effectively detect early biventricular myocardial damage in patients with PAH.
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Zhang M, Lu Y, Li Z, Shao Y, Chen L, Yang Y, Xi J, Chen M, Jiang T. Value of Fast MVO Identification From Contrast-Enhanced Cine (CE-SSFP) Combined With Myocardial Strain in Predicting Adverse Events in Patients After ST-Elevation Myocardial Infarction. Front Cardiovasc Med 2022; 8:804020. [PMID: 35265674 PMCID: PMC8900720 DOI: 10.3389/fcvm.2021.804020] [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] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 12/29/2021] [Indexed: 12/12/2022] Open
Abstract
Objectives Cardiac magnetic resonance imaging (CMR) can be used for a one-step evaluation of myocardial function and pathological features after acute ST-elevation myocardial infarction (STEMI). We aimed to evaluate the value of fast microvascular occlusion (MVO) identification from contrast-enhanced steady-state free precession (CE-SSFP) combined with myocardial strain in predicting major cardiovascular adverse events (MACEs) in primary percutaneous coronary intervention (pPCI) patients with STEMI. Methods In total, 237 patients with STEMI who received pPCI and completed CMR scans within the following week were enrolled, MVO identification and the myocardial strain analysis were performed in CE-SSFP images without an additional method. The primary endpoint was the presence of MACE, which is defined as a composite of death, reinfarction, and congestive heart failure (HF). Results After 13 months of follow-up [interquartile range (IQR): 11-24], 30 patients (14%) developed MACE; the MVO (hazard ratio (HR) was 3.10; 95% CI: 1.14-8.99, p = 0.028), and the infarct size (IS) (HR: 1.03; 95% CI: 1.0-1.06, p = 0.042) and global longitudinal strain (GLS) (HR: 1.08; 95% CI: 1.01-1.17, p = 0.029) were finally associated with MACE. Receiver operating characteristic (ROC) analyses show that the area under the curve (AUC) of GLS was large (0.73 [95% CI, 0.63-0.82], p = 0.001), and the best cut-off was -11.8%, with 76.7% sensitivity and 58.9% specificity, which are greater than those of IS (0.70, 95% CI, 0.60-0.81, p < 0.001) and MVO (0.68, 95% CI, 0.58-0.78, p < 0.001). However, combining MVO and GLS resulted in a much greater finding (AUC = 0.775, 95% CI: 0.727-0.824, p < 0.001) and better sensitivity and specificity (83.3%, 66.5%). Conclusion Microvascular occlusion identification from contrast-enhanced cine combined with myocardial strain could be a quick and reliable option for patients with STEMI who underwent pPCI; it correlates well with the prognosis of patients with STEMI in terms of MACE.
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Affiliation(s)
- Min Zhang
- Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yuan Lu
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Zhi Li
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yameng Shao
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Lei Chen
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yu Yang
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Jianning Xi
- Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.,Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Minglong Chen
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.,Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Tingbo Jiang
- Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China
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19
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Wen XL, Gao Y, Guo YK, Zhang Y, Yang MX, Li Y, Yang ZG. Effect of Mitral Regurgitation on Left Ventricular Deformation in Myocardial Infarction Patients: Evaluation by Cardiac Magnetic Resonance Imaging. J Magn Reson Imaging 2022; 56:790-800. [PMID: 35130580 DOI: 10.1002/jmri.28101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Revised: 01/25/2022] [Accepted: 01/25/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Mitral regurgitation (MR) is a comorbidity of myocardial infarction (MI), which may promote the incidence of adverse cardiovascular clinical events. However, it is not yet completely understood how MR in MI patients is associated with impaired myocardial deformation. PURPOSE To determine the damaging myocardium effects of MR in MI patients in terms of the global peak strain (PS) and left ventricular (LV) function, and evaluate the independent risk factors impacting LV deformation after MI. STUDY TYPE Retrospective. POPULATION One hundred eighty-six MI patients (17.7% female) and 84 normal control subjects (27.4% female). FIELD STRENGTH/SEQUENCE 3.0T; late gadolinium enhancement sequence, balanced steady-state free precession. ASSESSMENT LV function and LV global PS (global radial peak strain [GRPS]; global circumferential peak strain [GCPS]; and global longitudinal peak strain [GLPS]) were compared among normal controls, MI without MR (MR-) and MI with MR (MR+, mild, moderate, severe) patients. STATISTICAL TESTS One-way analysis of variance (ANOVA) test, Mann-Whitney U test, Kruskal-Wallis test, and multiple linear regressions were used. A P value <0.05 indicated statistically significant difference (two-tailed). RESULTS The MI (MR+) patients showed significantly lower LV global PS than both MI (MR-) and control groups in three directions (GRPS 16.66 ± 7.43%; GCPS -11.27 ± 4.27%; GLPS -7.75 ± 3.44%), and significantly higher LV end-systolic (128.85 [87.91, 188.01] mL) and end-diastolic volumes (210.29 [164.07, 264.00] mL) and significantly lower LV ejection fraction (38.23 ± 13.02%). Multiple regression analysis demonstrated that MR was independently associated with LV GCPS (β = -0.268) and GLPS (β = -0.320). LV infarct size was an independent indicator of LV GRPS (β = -0.215) and GCPS (β = -0.222). LV end-diastolic volume was an independent indicator of LV GRPS (β = -0.518), GCPS (β = -0.503), and GLPS (β = -0.331). DATA CONCLUSION MR may further exacerbate the reduction of LV global peak strains and function. The MR, infarct size, and LV end-diastolic volume can be used as independent association indicators for LV global PS in MI (MR+) patients. LEVEL OF EVIDENCE 4 Technical Efficacy Stage: 2 TOC Category: Chest.
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Affiliation(s)
- Xiao-Ling Wen
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.,Department of Radiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yue Gao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ying-Kun Guo
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yi Zhang
- Department of Radiology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Meng-Xi Yang
- Department of Radiology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Yuan Li
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhi-Gang Yang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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20
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Concomitant Activation of OSM and LIF Receptor by a Dual-Specific hlOSM Variant Confers Cardioprotection after Myocardial Infarction in Mice. Int J Mol Sci 2021; 23:ijms23010353. [PMID: 35008777 PMCID: PMC8745562 DOI: 10.3390/ijms23010353] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 12/23/2021] [Accepted: 12/25/2021] [Indexed: 01/11/2023] Open
Abstract
Oncostatin M (OSM) and leukemia inhibitory factor (LIF) signaling protects the heart after myocardial infarction (MI). In mice, oncostatin M receptor (OSMR) and leukemia inhibitory factor receptor (LIFR) are selectively activated by the respective cognate ligands while OSM activates both the OSMR and LIFR in humans, which prevents efficient translation of mouse data into potential clinical applications. We used an engineered human-like OSM (hlOSM) protein, capable to signal via both OSMR and LIFR, to evaluate beneficial effects on cardiomyocytes and hearts after MI in comparison to selective stimulation of either LIFR or OSMR. Cell viability assays, transcriptome and immunoblot analysis revealed increased survival of hypoxic cardiomyocytes by mLIF, mOSM and hlOSM stimulation, associated with increased activation of STAT3. Kinetic expression profiling of infarcted hearts further specified a transient increase of OSM and LIF during the early inflammatory phase of cardiac remodeling. A post-infarction delivery of hlOSM but not mOSM or mLIF within this time period combined with cardiac magnetic resonance imaging-based strain analysis uncovered a global cardioprotective effect on infarcted hearts. Our data conclusively suggest that a simultaneous and rapid activation of OSMR and LIFR after MI offers a therapeutic opportunity to preserve functional and structural integrity of the infarcted heart.
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21
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Gao Y, Xu HY, Guo YK, Wen XL, Shi R, Li Y, Yang ZG. Impact of myocardial scars on left ventricular deformation in type 2 diabetes mellitus after myocardial infarction by contrast-enhanced cardiac magnetic resonance. Cardiovasc Diabetol 2021; 20:215. [PMID: 34696783 PMCID: PMC8547068 DOI: 10.1186/s12933-021-01407-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 10/17/2021] [Indexed: 02/08/2023] Open
Abstract
Background Type 2 diabetes mellitus (T2DM) is a major risk factor for coronary artery disease and myocardial infarction (MI). The interaction of diabetic cardiomyopathy and MI scars on myocardial deformation in T2DM patients is unclear. Therefore, we aimed to evaluate myocardial deformation using cardiac magnetic resonance (CMR) in T2DM patients with previous MI and investigated the influence of myocardial scar on left ventricular (LV) deformation. Methods Overall, 202 T2DM patients, including 46 with MI (T2DM(MI+)) and 156 without MI (T2DM(MI−)), and 59 normal controls who underwent CMR scans were included. Myocardial scars were assessed by late gadolinium enhancement. LV function and deformation, including LV global function index, LV global peak strain (PS), peak systolic strain rate (PSSR), and peak diastolic strain rate (PDSR), were compared among these groups. Correlation and multivariate linear regression analyses were used to investigate the relationship between myocardial scars and LV deformation. Results Decreases were observed in LV function and LV global PS, PSSR, and PDSR in the T2DM(MI+) group compared with those of the other groups. Reduced LV deformation (p < 0.017) was observed in the T2DM(MI+) group with anterior wall infarction. The increased total LV infarct extent and infarct mass of LV were related to decreased LV global PS (radial, circumferential, and longitudinal directions; p < 0.01) and LV global PSSR (radial and circumferential directions, p < 0.02). Multivariate analysis demonstrated that NYHA functional class and total LV infarct extent were independently associated with LV global radial PS (β = − 0.400 and β = − 0.446, respectively, all p < 0.01; model R2 = 0.37) and circumferential PS (β = 0.339 and β = 0.530, respectively, all p < 0.01; model R2 = 0.41), LV anterior wall infarction was independently associated with LV global longitudinal PS (β = 0.398, p = 0.006). Conclusions The myocardial scarring size in T2DM patients after MI is negatively correlated with LV global PS and PSSR, particularly in the circumferential direction. Additionally, different MI regions have different effects on the reduction of LV deformation, and relevant clinical evaluations should be strengthened.
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Affiliation(s)
- Yue Gao
- Department of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Hua-Yan Xu
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Ying-Kun Guo
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Xiao-Ling Wen
- Department of Radiology, West China Fourth Hospital, Sichuan University, 18# Section 3, Renmin South Road, Chengdu, Sichuan Province, China
| | - Rui Shi
- Department of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Yuan Li
- Department of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
| | - Zhi-Gang Yang
- Department of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
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22
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Yu S, Zhou J, Yang K, Chen X, Zheng Y, Zhao K, Song J, Ji K, Zhou P, Yan H, Zhao S. Correlation of Myocardial Strain and Late Gadolinium Enhancement by Cardiac Magnetic Resonance After a First Anterior ST-Segment Elevation Myocardial Infarction. Front Cardiovasc Med 2021; 8:705487. [PMID: 34277744 PMCID: PMC8282997 DOI: 10.3389/fcvm.2021.705487] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 06/01/2021] [Indexed: 11/24/2022] Open
Abstract
Objectives: To investigate the correlation of cardiac magnetic resonance (CMR) feature-tracking with conventional CMR parameters in patients with a first anterior ST-segment elevation myocardial infarction (STEMI). Methods: This sub-analysis of OCTAMI (Optical Coherence Tomography Examination in Acute Myocardial Infarction) registry included 129 patients who finished a CMR examination 1 month after a first anterior STEMI. Cine images were applied to calculate both global and segmental left ventricular peak strain parameters. The patients were divided into two groups by left ventricular ejection fraction (LVEF) and compared with 42 healthy controls. Segmental late gadolinium enhancement (LGE) was graded according to LGE transmurality as follows: (1) >0 to ≤ 25%; (2) >25 to ≤ 50%; (3) >50 to ≤ 75%; (4) >75%. Left ventricle was divided into infarcted, adjacent, and remote regions to assess regional function. Results: Compared with controls, global radial (28.39 ± 5.08% vs. 38.54 ± 9.27%, p < 0.05), circumferential (−16.91 ± 2.11% vs. −20.77 ± 2.78%, p < 0.05), and longitudinal (−13.06 ± 2.15 vs. −15.52 ± 2.69, p < 0.05) strains were impaired in STEMI patients with normal LVEF (≥55%). Strain parameters were strongly associated with LGE (radial: r = 0.65; circumferential: r = 0.69; longitudinal: r = 0.61; all p < 0.05). A significant and stepwise impairment of global strains was observed in groups divided by LGE tertiles. Furthermore, segmental strain was different in various degrees of LGE transmurality especially for radial and circumferential strain. Strains of adjacent region were better than infarcted region in radial and circumferential directions and worse than remote region in all three directions. Conclusion: Global and regional strain could stratify different extent and transmurality of LGE, respectively. Although without LGE, adjacent region had impaired strains comparing with remote region.
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Affiliation(s)
- Shiqin Yu
- State Key Laboratory of Cardiovascular Disease, MR Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jinying Zhou
- Stata Key Laboratory of Cardiovascular Disease, Coronary Heart Disease Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kai Yang
- State Key Laboratory of Cardiovascular Disease, MR Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiuyu Chen
- State Key Laboratory of Cardiovascular Disease, MR Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yucong Zheng
- State Key Laboratory of Cardiovascular Disease, MR Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kankan Zhao
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, SZ University Town, Shenzhen, China
| | - Jialin Song
- State Key Laboratory of Cardiovascular Disease, MR Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Keshan Ji
- State Key Laboratory of Cardiovascular Disease, MR Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Peng Zhou
- Stata Key Laboratory of Cardiovascular Disease, Coronary Heart Disease Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongbing Yan
- Stata Key Laboratory of Cardiovascular Disease, Coronary Heart Disease Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,Fuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen, China
| | - Shihua Zhao
- State Key Laboratory of Cardiovascular Disease, MR Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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23
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Polacin M, Karolyi M, Eberhard M, Gotschy A, Baessler B, Alkadhi H, Kozerke S, Manka R. Segmental strain analysis for the detection of chronic ischemic scars in non-contrast cardiac MRI cine images. Sci Rep 2021; 11:12376. [PMID: 34117271 PMCID: PMC8195981 DOI: 10.1038/s41598-021-90283-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 04/26/2021] [Indexed: 11/09/2022] Open
Abstract
Cardiac magnetic resonance imaging (MRI) with late gadolinium enhancement (LGE) is considered the gold standard for scar detection after myocardial infarction. In times of increasing skepticism about gadolinium depositions in brain tissue and contraindications of gadolinium administration in some patient groups, tissue strain-based techniques for detecting ischemic scars should be further developed as part of clinical protocols. Therefore, the objective of the present work was to investigate whether segmental strain is noticeably affected in chronic infarcts and thus can be potentially used for infarct detection based on routinely acquired non-contrast cine images in patients with known coronary artery disease (CAD). Forty-six patients with known CAD and chronic scars in LGE images (5 female, mean age 52 ± 19 years) and 24 gender- and age-matched controls with normal cardiac MRI (2 female, mean age 47 ± 13 years) were retrospectively enrolled. Global (global peak circumferential [GPCS], global peak longitudinal [GPLS], global peak radial strain [GPRS]) and segmental (segmental peak circumferential [SPCS], segmental peak longitudinal [SPLS], segmental peak radial strain [SPRS]) strain parameters were calculated from standard non-contrast balanced SSFP cine sequences using commercially available software (Segment CMR, Medviso, Sweden). Visual wall motion assessment of short axis cine images as well as segmental circumferential strain calculations (endo-/epicardially contoured short axis cine and resulting polar plot strain map) of every patient and control were presented in random order to two independent blinded readers, which should localize potentially infarcted segments in those datasets blinded to LGE images and patient information. Global strain values were impaired in patients compared to controls (GPCS p = 0.02; GPLS p = 0.04; GPRS p = 0.01). Patients with preserved ejection fraction showed also impeded GPCS compared to healthy individuals (p = 0.04). In patients, mean SPCS was significantly impaired in subendocardially (- 5.4% ± 2) and in transmurally infarcted segments (- 1.2% ± 3) compared to remote myocardium (- 12.9% ± 3, p = 0.02 and 0.03, respectively). ROC analysis revealed an optimal cut-off value for SPCS for discriminating infarcted from remote myocardium of - 7.2% with a sensitivity of 89.4% and specificity of 85.7%. Mean SPRS was impeded in transmurally infarcted segments (15.9% ± 6) compared to SPRS of remote myocardium (31.4% ± 5; p = 0.02). The optimal cut-off value for SPRS for discriminating scar tissue from remote myocardium was 16.6% with a sensitivity of 83.3% and specificity of 76.5%. 80.3% of all in LGE infarcted segments (118/147) were correctly localized in segmental circumferential strain calculations based on non-contrast cine images compared to 53.7% (79/147) of infarcted segments detected by visual wall motion assessment (p > 0.01). Global strain parameters are impaired in patients with chronic infarcts compared to controls. Mean SPCS and SPRS in scar tissue is impeded compared to remote myocardium in infarcts patients. Blinded to LGE images, two readers correctly localized 80% of infarcted segments in segmental circumferential strain calculations based on non-contrast cine images, in contrast to only 54% of infarcted segments detected due to wall motion abnormalities in visual wall motion assessment. Analysis of segmental circumferential strain shows a promising method for detection of chronic scars in routinely acquired, non-contrast cine images for patients who cannot receive or decline gadolinium.
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Affiliation(s)
- M Polacin
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, 8092, Zurich, Switzerland
| | - M Karolyi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - M Eberhard
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - A Gotschy
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Department of Cardiology, University Heart Center, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - B Baessler
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - H Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - S Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, 8092, Zurich, Switzerland
| | - R Manka
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
- Department of Cardiology, University Heart Center, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
- Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, 8092, Zurich, Switzerland.
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Bhalodiya JM, Palit A, Giblin G, Tiwari MK, Prasad SK, Bhudia SK, Arvanitis TN, Williams MA. Identifying Myocardial Infarction Using Hierarchical Template Matching-Based Myocardial Strain: Algorithm Development and Usability Study. JMIR Med Inform 2021; 9:e22164. [PMID: 33565992 PMCID: PMC7904396 DOI: 10.2196/22164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Revised: 10/25/2020] [Accepted: 11/07/2020] [Indexed: 11/21/2022] Open
Abstract
Background Myocardial infarction (MI; location and extent of infarction) can be determined by late enhancement cardiac magnetic resonance (CMR) imaging, which requires the injection of a potentially harmful gadolinium-based contrast agent (GBCA). Alternatively, emerging research in the area of myocardial strain has shown potential to identify MI using strain values. Objective This study aims to identify the location of MI by developing an applied algorithmic method of circumferential strain (CS) values, which are derived through a novel hierarchical template matching (HTM) method. Methods HTM-based CS H-spread from end-diastole to end-systole was used to develop an applied method. Grid-tagging magnetic resonance imaging was used to calculate strain values in the left ventricular (LV) myocardium, followed by the 16-segment American Heart Association model. The data set was used with k-fold cross-validation to estimate the percentage reduction of H-spread among infarcted and noninfarcted LV segments. A total of 43 participants (38 MI and 5 healthy) who underwent CMR imaging were retrospectively selected. Infarcted segments detected by using this method were validated by comparison with late enhancement CMR, and the diagnostic performance of the applied algorithmic method was evaluated with a receiver operating characteristic curve test. Results The H-spread of the CS was reduced in infarcted segments compared with noninfarcted segments of the LV. The reductions were 30% in basal segments, 30% in midventricular segments, and 20% in apical LV segments. The diagnostic accuracy of detection, using the reported method, was represented by area under the curve values, which were 0.85, 0.82, and 0.87 for basal, midventricular, and apical slices, respectively, demonstrating good agreement with the late-gadolinium enhancement–based detections. Conclusions The proposed applied algorithmic method has the potential to accurately identify the location of infarcted LV segments without the administration of late-gadolinium enhancement. Such an approach adds the potential to safely identify MI, potentially reduce patient scanning time, and extend the utility of CMR in patients who are contraindicated for the use of GBCA.
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Affiliation(s)
| | - Arnab Palit
- Warwick Manufacturing Group, University of Warwick, Coventry, United Kingdom
| | - Gerard Giblin
- Royal Brompton and Harefield NHS Foundation Trust, London, United Kingdom
| | | | - Sanjay K Prasad
- Royal Brompton and Harefield NHS Foundation Trust, London, United Kingdom
| | - Sunil K Bhudia
- Royal Brompton and Harefield NHS Foundation Trust, London, United Kingdom
| | - Theodoros N Arvanitis
- Institute of Digital Healthcare, Warwick Manufacturing Group, University of Warwick, Coventry, United Kingdom
| | - Mark A Williams
- Warwick Manufacturing Group, University of Warwick, Coventry, United Kingdom
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Li S, Zhao L, Lu A, Tian J, Gong L, Ma X. Comparison of Left Ventricular Global Strain in Anterior and Non-anterior Wall Myocardial Infarction With CMR Tissue Tracking. Front Physiol 2020; 11:530108. [PMID: 33362570 PMCID: PMC7758347 DOI: 10.3389/fphys.2020.530108] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 11/19/2020] [Indexed: 01/09/2023] Open
Abstract
Left ventricular (LV) myocardial dysfunction occurs after myocardial infarction (MI) is associated with the location, infarct size, and transmurality degrees of MI. The myocardial strain is a sensitive index used for the quantification of myocardium dysfunction. This study used Tissue-Tracking to evaluate whether the different location of MI would result in different myocardial dysfunction. One hundred patients diagnosed with MI who underwent cardiovascular magnetic resonance examination were included. The tissue-tracking indices, LV global radial strain (GRS), global circumferential strain (GCS), global longitudinal strain (GLS), and the infarct size (IS,% of LV mass) were quantified. There were 42 cases of anterior wall MI (AWMI) and 58 cases of non-anterior wall MI (NAWMI). The GCS of AWMI was significantly lower than that of NAWMI (P = 0.036). In the same level of infarct size, the myocardial strain of AWMI was not significantly different from NAWMI group (P > 0.05). The GRS and GCS were significantly different between transmurality > 50% group with transmurality ≤ 50% group (P < 0.05). The present study demonstrated that LV MI is associated with reduced myocardial strain, and the infarct size and degrees of transmurality were both related to the decline of myocardial strain in patients with MI.
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Affiliation(s)
- Shuhao Li
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Department of Medical Imaging Center, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Lei Zhao
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Aijia Lu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Department of Interventional Therapy, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Jie Tian
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Department of Interventional Therapy, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Lianggeng Gong
- Department of Medical Imaging Center, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xiaohai Ma
- Department of Interventional Therapy, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
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Predictive Value of Fasting Blood Glucose for Microvascular Obstruction in Nondiabetic Patients with ST-Segment Elevation Myocardial Infarction after Primary Percutaneous Coronary Intervention. Cardiol Res Pract 2020; 2020:8429218. [PMID: 33062322 PMCID: PMC7533759 DOI: 10.1155/2020/8429218] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 07/19/2020] [Accepted: 08/25/2020] [Indexed: 01/29/2023] Open
Abstract
Background The relationship between fasting blood glucose (FBG) and microvascular obstruction (MVO) after primary percutaneous coronary intervention (PCI) remains unclear in nondiabetic patients with ST-segment elevation myocardial infarction (STEMI). This study aimed to determine the predictive value of FBG in MVO in nondiabetic STEMI patients. Methods A total of 108 nondiabetic STEMI patients undergoing primary PCI were enrolled in this study. The patients were classified into either the MVO group or non-MVO group based on cardiac magnetic resonance imaging (CMR). Results FBG in the MVO group was higher than in the non-MVO group. Univariate analysis showed that FBG, peak high-sensitive troponin T (TnT), pre-PCI thrombolysis in myocardial infarction (pre-PCI TIMI) flow, left ventricular ejection fraction (LVEF), infarction size, left ventricular end-diastolic diameter (LVEDd), left ventricular end-diastolic volume (LVEDV), and global longitudinal strain (GLS) were likely predictive factors of MVO. After adjustment for other parameters, FBG, peak TnT, LVEF, and LVEDV remained independent predictors for MVO. Conclusion FBG was independently associated with MVO in nondiabetic STEMI patients.
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27
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Five-Year Outcomes and Prognostic Value of Feature-Tracking Cardiovascular Magnetic Resonance in Patients Receiving Early Prereperfusion Metoprolol in Acute Myocardial Infarction. Am J Cardiol 2020; 133:39-47. [PMID: 32819681 DOI: 10.1016/j.amjcard.2020.07.037] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 07/20/2020] [Accepted: 07/20/2020] [Indexed: 12/11/2022]
Abstract
The aim of the present study was to investigate the long-term impact of early intravenous metoprolol in ST-segment elevation myocardial infarction (STEMI) patients in terms of left ventricular (LV) strain with feature-tracking cardiovascular magnetic resonance (CMR) and its association with prognosis. A total of 270 patients with first anterior STEMI enrolled in the randomized METOCARD-CNIC clinical trial, assigned to receive up to 15 mg intravenous metoprolol before primary percutaneous coronary intervention versus conventional STEMI therapy, were included. LV global circumferential (GCS) and longitudinal (GLS) strain were assessed with feature-tracking CMR at 1 week after STEMI in 215 patients. The occurrence of major adverse cardiac events (MACE) at 5-year follow-up was the primary end point. Among 270 patients enrolled, 17 of 139 patients assigned to metoprolol arm and 31 of 131 patients assigned to control arm experienced MACE (hazard ratio [HR] 0.500, 95% confidence interval [CI] 0.277 to 0.903; p = 0.022). Impaired LV GCS and GLS strain were significantly associated with increased occurrence of MACE (GCS: HR 1.208, 95% CI 1.076 to 1.356, p =0.001; GLS: HR 1.362, 95% CI 1.180 to 1.573, p < 0.001). On multivariable analysis, LV GLS provided incremental prognostic value over late gadolinium enhancement (LGE) and LV ejection fraction (LVEF) (LGE + LVEF chi-square = 12.865, LGE + LVEF + GLS chi-square = 18.459; p =0.012). Patients with GLS ≥-11.5% (above median value) who received early intravenous metoprolol were 64% less likely to experience MACE than their counterparts with same degree of GLS impairment (HR 0.356, 95% CI 0.129 to 0.979; p = 0.045). In conclusion, early intravenous metoprolol has a long-term beneficial prognostic effect, particularly in patients with severely impaired LV systolic function. LV GLS with feature-tracking CMR early after percutaneous coronary intervention offers incremental prognostic value over conventional CMR parameters in risk stratification of STEMI patients.
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Csecs I, Pashakhanloo F, Paskavitz A, Jang J, Al-Otaibi T, Neisius U, Manning WJ, Nezafat R. Association Between Left Ventricular Mechanical Deformation and Myocardial Fibrosis in Nonischemic Cardiomyopathy. J Am Heart Assoc 2020; 9:e016797. [PMID: 33006296 PMCID: PMC7792406 DOI: 10.1161/jaha.120.016797] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background In patients with nonischemic cardiomyopathy, nonischemic fibrosis detected by late gadolinium enhancement (LGE) cardiovascular magnetic resonance is related to adverse cardiovascular outcomes. However, its relationship with left ventricular (LV) mechanical deformation parameters remains unclear. We sought to investigate the association between LV mechanics and the presence, location, and extent of fibrosis in patients with nonischemic cardiomyopathy. Methods and Results We retrospectively identified 239 patients with nonischemic cardiomyopathy (67% male; 55±14 years) referred for a clinical cardiovascular magnetic resonance. LGE was present in 109 patients (46%), most commonly (n=52; 22%) in the septum. LV deformation parameters did not differentiate between LGE‐positive and LGE‐negative groups. Global longitudinal, radial, and circumferential strains, twist and torsion showed no association with extent of fibrosis. Patients with septal fibrosis had a more depressed LV ejection fraction (30±12% versus 35±14%; P=0.032) and more impaired global circumferential strain (−7.9±3.5% versus −9.7±4.4%; P=0.045) and global radial strain (10.7±5.2% versus 13.3±7.7%; P=0.023) than patients without septal LGE. Global longitudinal strain was similar in both groups. While patients with septal‐only LGE (n=28) and free wall–only LGE (n=32) had similar fibrosis burden, the septal‐only LGE group had more impaired LV ejection fraction and global circumferential, longitudinal, and radial strains (all P<0.05). Conclusions There is no association between LV mechanical deformation parameters and presence or extent of fibrosis in patients with nonischemic cardiomyopathy. Septal LGE was associated with poor global LV function, more impaired global circumferential and radial strains, and more impaired global strain rates.
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Affiliation(s)
- Ibolya Csecs
- Department of Medicine Beth Israel Deaconess Medical CenterHarvard Medical School Boston MA
| | - Farhad Pashakhanloo
- Department of Medicine Beth Israel Deaconess Medical CenterHarvard Medical School Boston MA
| | - Amanda Paskavitz
- Department of Medicine Beth Israel Deaconess Medical CenterHarvard Medical School Boston MA
| | - Jihye Jang
- Department of Medicine Beth Israel Deaconess Medical CenterHarvard Medical School Boston MA
| | - Talal Al-Otaibi
- Department of Medicine Beth Israel Deaconess Medical CenterHarvard Medical School Boston MA
| | - Ulf Neisius
- Department of Medicine Beth Israel Deaconess Medical CenterHarvard Medical School Boston MA
| | - Warren J Manning
- Department of Medicine Beth Israel Deaconess Medical CenterHarvard Medical School Boston MA
| | - Reza Nezafat
- Department of Medicine Beth Israel Deaconess Medical CenterHarvard Medical School Boston MA
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Kendziora B, Stier H, Schlattmann P, Dewey M. MRI for measuring therapy efficiency after revascularisation in ST-segment elevation myocardial infarction: a systematic review and meta-regression analysis. BMJ Open 2020; 10:e034359. [PMID: 32988935 PMCID: PMC7523216 DOI: 10.1136/bmjopen-2019-034359] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVE To summarise existing data on the relation between the time from symptom onset until revascularisation (time to reperfusion) and the myocardial salvage index (MSI) calculated as proportion of non-necrotic myocardium inside oedematous myocardium on T2-weighted and T1-weighted late gadolinium enhancement MRI after ST-segment elevation myocardial infarction (STEMI). METHODS Studies including patients with revascularised STEMI and stating both the time to reperfusion and the MSI measured by T2-weighted and T1-weighted late gadolinium enhancement MRI were searched in MEDLINE, EMBASE and ISI Web of Science until 16 May 2020. A mixed effects model was used to evaluate the relation between the time to reperfusion and the MSI. The gender distribution and mean age in included patient groups, the timing of MRI, used MRI sequences and image interpretation methodology were included in the mixed effects model to explore between-study heterogeneity. RESULTS We included 38 studies with 5106 patients. The pooled MSI was 42.6% (95% CI: 38.1 to 47.1). The pooled time to reperfusion was 3.8 hours (95% CI: 3.5 to 4.0). Every hour of delay in reperfusion was associated with an absolute decrease of 13.1% (95% CI: 11.5 to 14.6; p<0.001) in the MSI. Between-study heterogeneity was considerable (σ2=167.8). Differences in the gender distribution, timing of MRI and image interpretation among studies explained 45.2% of the between-study heterogeneity. CONCLUSIONS The MSI on T2-weighted and T1-weighted late gadolinium enhancement MRI correlates inversely with the time to reperfusion, which indicates that cardioprotection achieved by minimising the time to reperfusion leads to a higher MSI. The analysis revealed considerable heterogeneity between studies. The heterogeneity could partly be explained by differences in the gender distribution, timing and interpretation of MRI suggesting that the MRI-assessed MSI is not only influenced by cardioprotective therapy but also by patient characteristics and MRI parameters.
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Affiliation(s)
- Benjamin Kendziora
- Institute of Radiology, Charité - Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität, Berlin, Germany
| | - Heli Stier
- Institute of Radiology, Charité - Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität, Berlin, Germany
| | - Peter Schlattmann
- Institute of Medical Statistics, Computer Sciences and Documentation, Universitätsklinikum Jena, Friedrich-Schiller-Universität, Jena, Germany
| | - Marc Dewey
- Institute of Radiology, Charité - Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität, Berlin, Germany
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30
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Doimo S, Ricci F, Aung N, Cooper J, Boubertakh R, Sanghvi MM, Sinagra G, Petersen SE. Tissue-tracking in the assessment of late gadolinium enhancement in myocarditis and myocardial infarction. Magn Reson Imaging 2020; 73:62-69. [PMID: 32853757 DOI: 10.1016/j.mri.2020.08.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Revised: 07/21/2020] [Accepted: 08/20/2020] [Indexed: 11/26/2022]
Abstract
PURPOSE To test the diagnostic performance of cardiovascular magnetic resonance (CMR) tissue-tracking (TT) to detect the presence of late gadolinium enhancement (LGE) in patients with a diagnosis of myocardial infarction (MI) or myocarditis (MYO), preserved left ventricular ejection fraction (LVEF) and no visual regional wall motion abnormalities (RWMA). METHODS We selected consecutive CMR studies of 50 MI, 50 MYO and 96 controls. Receiving operating characteristic (ROC) curve and net reclassification index (NRI) analyses were used to assess the predictive ability and the incremental diagnostic yield of 2D and 3D TT-derived strain parameters for the detection of LGE and to measure the best cut-off values of strain parameters. RESULTS Overall, cases showed significantly reduced 2D global longitudinal strain (2D-GLS) values compared with controls (-20.1 ± 3.1% vs -21.6 ± 2.7%; p = 0.0008). 2D-GLS was also significantly reduced in MYO patients compared with healthy controls (-19.7 ± 2.9% vs -21.9 ± 2.4%; p = 0.0001). 3D global radial strain (3D-GRS) was significantly reduced in MI patients compared with controls with risk factors (34.3 ± 11.8% vs 40.3 ± 12.5%, p = 0.024) Overall, 2D-GLS yielded good diagnostic accuracy for the detection of LGE in the MYO subgroup (AUROC 0.79; NRI (95% CI) = 0.6 (0.3, 1.02) p = 0.0004), with incremental predictive value beyond risk factors and LV function parameters (p for AUROC difference = 0.048). In the MI subgroup, 2D-GRS (AUROC 0.81; NRI (95% CI) = 0.56 (0.17, 0.95) p = 0.004), 3D-GRS (AUROC 0.82; NRI (95% CI) = 0.57 (0.17, 0.97) p = 0.006) and 3D global circumferential strain (3D-GCS) (AUROC 0.81; NRI (95% CI) = 0.62 (0.22, 1.01) p = 0.002) emerged as potential markers of disease. The best cut-off for 2D-GLS was -21.1%, for 2D- and 3D-GRS were 39.1% and 37.7%, respectively, and for 3D-GCS was -16.4%. CONCLUSIONS At CMR-tissue tracking analysis, 2D-GLS was a significant predictor of LGE in patients with myocarditis but preserved LVEF and no visual RWMA. Both 2D- and 3D-GRS and 2D-GCS yielded good diagnostic accuracy for LGE detection in patients with previous MI but preserved LVEF and no visual RWMA.
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Affiliation(s)
- Sara Doimo
- Cardiovascular Department, Azienda Sanitaria Universitaria Integrata, University of Trieste, Trieste, Italy.
| | - Fabrizio Ricci
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University, Chieti, Italy; Department of Clinical Sciences, Malmo, Faculty of Medicine, Lund University, Clinical Research Center, 214 28 Malmo, Sweden; Casa di Cura Villa Serena, Città Sant'Angelo, 65013 Pescara, Italy
| | - Nay Aung
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK
| | - Jackie Cooper
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK
| | - Redha Boubertakh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK
| | - Mihir M Sanghvi
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK
| | - Gianfranco Sinagra
- Cardiovascular Department, Azienda Sanitaria Universitaria Integrata, University of Trieste, Trieste, Italy
| | - Steffen E Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK
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Valente F, Gutierrez L, Rodríguez-Eyras L, Fernandez R, Montano M, Sao-Aviles A, Pineda V, Guala A, Cuéllar H, Evangelista A, Rodríguez-Palomares J. Cardiac magnetic resonance longitudinal strain analysis in acute ST-segment elevation myocardial infarction: A comparison with speckle-tracking echocardiography. IJC HEART & VASCULATURE 2020; 29:100560. [PMID: 32566723 PMCID: PMC7298545 DOI: 10.1016/j.ijcha.2020.100560] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Accepted: 06/01/2020] [Indexed: 01/17/2023]
Abstract
BACKGROUND Strain analysis with speckle-tracking echocardiography (STE) is considered superior to ejection fraction for ventricular function assessment in different clinical scenarios. Feature tracking (FT) permits cardiac magnetic resonance (CMR) strain analysis in routinely acquired cine images. This study evaluated the feasibility of CMR-FT and its agreement with STE in patients with acute ST-segment elevation myocardial infarction (STEMI). METHODS An echocardiogram and CMR were performed in 128 patients who underwent primary percutaneous revascularisation after a STEMI. Adequate strain analysis was obtained by both techniques in 98 patients and peak systolic longitudinal strain (LS) was assessed with STE and CMR-FT. RESULTS Of 1568 myocardial segments, 97.2% were correctly tracked with STE and 97.7% with CMR-FT. For global LS, STE showed a mean of -14.8 ± 3.3% and CMR-FT -13.7 ± 3.0%, with good agreement between modalities [intraclass correlation coefficient (ICC) 0.826; bias -1.09%; limits of agreement (LOA) ± 4.2%]. On the other hand, segmental LS agreement was only moderate, with an ICC of 0.678 (bias -1.14%; LOA ± 11.76%) and the ICC ranged from 0.538 at the basal antero-lateral segment to 0.815 at the apical lateral segment. Finally, both STE and CMR-FT showed excellent intra- and inter-observer reproducibility (ICC > 0.9). CONCLUSIONS CMR-FT provides LS with similar feasibility to STE and both techniques showed good agreement for global LS, although agreement at segmental level was only moderate. CMR-FT showed excellent reproducibility, strengthening its robustness and potential for both research and clinical applications.
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Affiliation(s)
- Filipa Valente
- Cardiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain1
| | - Laura Gutierrez
- Cardiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain1
| | | | - Rúben Fernandez
- Cardiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain1
| | - Maria Montano
- Cardiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain1
| | - Augusto Sao-Aviles
- Cardiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain1
| | - Victor Pineda
- Radiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain1
| | - Andrea Guala
- Cardiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain1
| | - Hug Cuéllar
- Radiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain1
| | - Arturo Evangelista
- Cardiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain1
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Mangion K, Loughrey CM, Auger DA, McComb C, Lee MM, Corcoran D, McEntegart M, Davie A, Good R, Lindsay M, Eteiba H, Rocchiccioli P, Watkins S, Hood S, Shaukat A, Haig C, Epstein FH, Berry C. Displacement Encoding With Stimulated Echoes Enables the Identification of Infarct Transmurality Early Postmyocardial Infarction. J Magn Reson Imaging 2020; 52:1722-1731. [PMID: 32720405 DOI: 10.1002/jmri.27295] [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] [Received: 04/06/2020] [Revised: 07/01/2020] [Accepted: 07/01/2020] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Segmental extent of infarction assessed by late gadolinium enhancement (LGE) imaging early post-ST-segment elevation myocardial infarction (STEMI) has utility in predicting left ventricular functional recovery. HYPOTHESIS We hypothesized that segmental circumferential strain with displacement encoding with stimulated echoes (DENSE) would be a stronger predictor of infarct transmurality than feature-tracking strain, and noninferior to extracellular volume fraction (ECV). STUDY TYPE Prospective. POPULATION Fifty participants (mean ± SD, 59 ± 9 years, 40 [80%] male) underwent cardiac MRI on day 1 post-STEMI. FIELD-STRENGTH/SEQUENCES 1.5T/cine, DENSE, T1 mapping, ECV, LGE. ASSESSMENT Two observers assessed segmental percentage LGE extent, presence of microvascular obstruction (MVO), circumferential and radial strain with DENSE and feature-tracking, T1 relaxation times, and ECV. STATISTICAL TESTS Normality was tested using the Shapiro-Wilk test. Skewed distributions were analyzed utilizing Mann-Whitney or Kruskal-Wallis tests and normal distributed data using independent t-tests. Diagnostic cutoff values were identified using the Youden index. The difference in area under the curve was compared using the z-statistic. RESULTS Segmental circumferential strain with DENSE was associated with the extent of infarction ≥50% (AUC [95% CI], cutoff value = 0.9 [0.8, 0.9], -10%) similar to ECV (AUC = 0.8 [0.8, 0.9], 37%) (P = 0.117) and superior to feature-tracking circumferential strain (AUC = 0.7[0.7, 0.8], -19%) (P < 0.05). For the detection of segmental infarction ≥75%, circumferential strain with DENSE (AUC = 0.9 [0.8, 0.9], -10%) was noninferior to ECV (AUC = 0.8 [0.7, 0.9], 42%) (P = 0.132) and superior to feature-tracking (AUC = 0.7 [0.7, 0.8], -13%) (P < 0.05). For MVO detection, circumferential strain with DENSE (AUC = 0.8 [0.8, 0.9], -12%) was superior to ECV (AUC = 0.8 [0.7, 0.8] 34%) (P < 0.05) and feature-tracking (AUC = 0.7 [0.6, 0.7] -21%) (P < 0.05). DATA CONCLUSION Circumferential strain with DENSE is a functional measure of infarct severity and may remove the need for gadolinium contrast agents in some circumstances. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY STAGE: 5 J. MAGN. RESON. IMAGING 2020;52:1722-1731.
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Affiliation(s)
- Kenneth Mangion
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK.,West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Glasgow, UK
| | - Christopher M Loughrey
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
| | - Daniel A Auger
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
| | - Christie McComb
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK.,Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, UK
| | - Matthew M Lee
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK.,West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Glasgow, UK
| | - David Corcoran
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK.,West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Glasgow, UK
| | - Margaret McEntegart
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK.,West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Glasgow, UK
| | - Andrew Davie
- West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Glasgow, UK
| | - Richard Good
- West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Glasgow, UK
| | - Mitchell Lindsay
- West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Glasgow, UK
| | - Hany Eteiba
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK.,West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Glasgow, UK
| | - Paul Rocchiccioli
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK.,West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Glasgow, UK
| | - Stuart Watkins
- West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Glasgow, UK
| | - Stuart Hood
- West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Glasgow, UK
| | - Aadil Shaukat
- West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Glasgow, UK
| | - Caroline Haig
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Frederick H Epstein
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
| | - Colin Berry
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK.,West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Glasgow, UK
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Gastl M, Sürder D, Corti R, Faruque Osmany D, Gotschy A, von Spizcak J, Sokolska J, Metzen D, Alkadhi H, Ruschitzka F, Kozerke S, Manka R. Effect of intracoronary bone marrow-derived mononuclear cell injection early and late after myocardial infarction on CMR-derived myocardial strain. Int J Cardiol 2020; 310:108-115. [DOI: 10.1016/j.ijcard.2020.01.025] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 12/20/2019] [Accepted: 01/13/2020] [Indexed: 11/24/2022]
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34
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Vágó H, Szabó L, Dohy Z, Czimbalmos C, Tóth A, Suhai FI, Bárczi G, Gyarmathy VA, Becker D, Merkely B. Early cardiac magnetic resonance imaging in troponin-positive acute chest pain and non-obstructed coronary arteries. Heart 2020; 106:992-1000. [PMID: 32447308 PMCID: PMC7306881 DOI: 10.1136/heartjnl-2019-316295] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 03/31/2020] [Accepted: 04/02/2020] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE We assessed the diagnostic and prognostic implications of early cardiac magnetic resonance (CMR), CMR-based deformation imaging and conventional risk factors in patients with troponin-positive acute chest pain and non-obstructed coronary arteries. METHODS In total, 255 patients presenting between 2009 and 2019 with troponin-positive acute chest pain and non-obstructed coronary arteries who underwent CMR in ≤7 days were followed for a clinical endpoint of all-cause mortality. Cine movies, T2-weighted and late gadolinium-enhanced images were evaluated to establish a diagnosis of the underlying heart disease. Further CMR analysis, including left ventricular strain, was carried out. RESULTS CMR (performed at a mean of 2.7 days) provided the diagnosis in 86% of patients (54% myocarditis, 22% myocardial infarction (MI) and 10% Takotsubo syndrome and myocardial contusion (n=1)). The 4-year mortality for a diagnosis of MI, myocarditis, Takotsubo and normal CMR patients was 10.2%, 1.6%, 27.3% and 0%, respectively. We found a strong association between CMR diagnosis and mortality (log-rank: 24, p<0.0001). Takotsubo and MI as the diagnosis, age, hypertension, diabetes, female sex, ejection fraction, stroke volume index and most of the investigated strain parameters were univariate predictors of mortality; however, in the multivariate analysis, only hypertension and circumferential mechanical dispersion measured by strain analysis were independent predictors of mortality. CONCLUSIONS CMR performed in the early phase establishes the proper diagnosis in patients with troponin-positive acute chest pain and non-obstructed coronary arteries and provides additional prognostic factors. This may indicate that CMR could play an additional role in risk stratification in this patient population.
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Affiliation(s)
- Hajnalka Vágó
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Liliána Szabó
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Zsófia Dohy
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | | | - Attila Tóth
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | | | - György Bárczi
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - V Anna Gyarmathy
- EpiConsult LLC, Dover, Delaware, USA
- Johns Hopkins, Baltimore, Maryland, USA
| | - Dávid Becker
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Béla Merkely
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
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35
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Goedemans L, Bax JJ, Delgado V. COPD and acute myocardial infarction. Eur Respir Rev 2020; 29:29/156/190139. [PMID: 32581139 DOI: 10.1183/16000617.0139-2019] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 12/06/2019] [Indexed: 12/31/2022] Open
Abstract
COPD is strongly associated with cardiovascular disease, in particular acute myocardial infarction (AMI). Besides shared risk factors, COPD-related factors, such as systemic inflammation and hypoxia, underlie the pathophysiological interaction between COPD and AMI. The prevalence of COPD amongst AMI populations ranges from 7% to 30%, which is possibly even an underestimation due to underdiagnoses of COPD in general. Following the acute event, patients with COPD have an increased risk of mortality, heart failure and arrhythmias during follow-up. Adequate risk stratification can be performed using various imaging techniques, evaluating cardiac size and function after AMI. Conventional imaging techniques such as echocardiography and cardiac magnetic resonance imaging have already indicated impaired cardiac function in patients with COPD without known cardiovascular disease. Advanced imaging techniques such as speckle-tracking echocardiography and T1 mapping could provide more insight into cardiac structure and function after AMI and have proven to be of prognostic value. Future research is required to better understand the impact of AMI on patients with COPD in order to provide effective secondary prevention. The present article summarises the current knowledge on the pathophysiologic factors involved in the interaction between COPD and AMI, the prevalence and outcomes of AMI in patients with COPD and the role of imaging in the acute phase and risk stratification after AMI in patients with COPD.
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Affiliation(s)
- Laurien Goedemans
- Dept of Cardiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Jeroen J Bax
- Dept of Cardiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Victoria Delgado
- Dept of Cardiology, Leiden University Medical Centre, Leiden, The Netherlands
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36
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Reindl M, Eitel I, Reinstadler SJ. Role of Cardiac Magnetic Resonance to Improve Risk Prediction Following Acute ST-Elevation Myocardial Infarction. J Clin Med 2020; 9:E1041. [PMID: 32272692 PMCID: PMC7231095 DOI: 10.3390/jcm9041041] [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] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 04/01/2020] [Accepted: 04/01/2020] [Indexed: 12/13/2022] Open
Abstract
Cardiac magnetic resonance (CMR) imaging allows comprehensive assessment of myocardial function and tissue characterization in a single examination after acute ST-elevation myocardial infarction. Markers of myocardial infarct severity determined by CMR imaging, especially infarct size and microvascular obstruction, strongly predict recurrent cardiovascular events and mortality. The prognostic information provided by a comprehensive CMR analysis is incremental to conventional risk factors including left ventricular ejection fraction. As such, CMR parameters of myocardial tissue damage are increasingly recognized for optimized risk stratification to further ameliorate the burden of recurrent cardiovascular events in this population. In this review, we provide an overview of the current impact of CMR imaging on optimized risk assessment soon after acute ST-elevation myocardial infarction.
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Affiliation(s)
- Martin Reindl
- University Clinic of Internal Medicine III, Cardiology and Angiology, Medical University of Innsbruck, Anichstraße 35, A-6020 Innsbruck, Austria;
| | - Ingo Eitel
- University Heart Center Lübeck, Medical Clinic II (Cardiology/Angiology/Intensive Care Medicine), University Hospital Schleswig-Holstein, Ratzeburger Allee 160, D-23538 Lübeck, Germany;
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, D-23538 Lübeck, Germany
| | - Sebastian Johannes Reinstadler
- University Clinic of Internal Medicine III, Cardiology and Angiology, Medical University of Innsbruck, Anichstraße 35, A-6020 Innsbruck, Austria;
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Erley J, Zieschang V, Lapinskas T, Demir A, Wiesemann S, Haass M, Osman NF, Simonetti OP, Liu Y, Patel AR, Mor-Avi V, Unal O, Johnson KM, Pieske B, Hansmann J, Schulz-Menger J, Kelle S. A multi-vendor, multi-center study on reproducibility and comparability of fast strain-encoded cardiovascular magnetic resonance imaging. Int J Cardiovasc Imaging 2020; 36:899-911. [PMID: 32056087 PMCID: PMC7174273 DOI: 10.1007/s10554-020-01775-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 01/11/2020] [Indexed: 01/23/2023]
Abstract
Myocardial strain is a convenient parameter to quantify left ventricular (LV) function. Fast strain-encoding (fSENC) enables the acquisition of cardiovascular magnetic resonance images for strain-measurement within a few heartbeats during free-breathing. It is necessary to analyze inter-vendor agreement of techniques to determine strain, such as fSENC, in order to compare existing studies and plan multi-center studies. Therefore, the aim of this study was to investigate inter-vendor agreement and test-retest reproducibility of fSENC for three major MRI-vendors. fSENC-images were acquired three times in the same group of 15 healthy volunteers using 3 Tesla scanners from three different vendors: at the German Heart Institute Berlin, the Charité University Medicine Berlin-Campus Buch and the Theresien-Hospital Mannheim. Volunteers were scanned using the same imaging protocol composed of two fSENC-acquisitions, a 15-min break and another two fSENC-acquisitions. LV global longitudinal and circumferential strain (GLS, GCS) were analyzed by a trained observer (Myostrain 5.0, Myocardial Solutions) and for nine volunteers repeatedly by another observer. Inter-vendor agreement was determined using Bland-Altman analysis. Test-retest reproducibility and intra- and inter-observer reproducibility were analyzed using intraclass correlation coefficient (ICC) and coefficients of variation (CoV). Inter-vendor agreement between all three sites was good for GLS and GCS, with biases of 0.01–1.88%. Test-retest reproducibility of scans before and after the break was high, shown by ICC- and CoV values of 0.63–0.97 and 3–9% for GLS and 0.69–0.82 and 4–7% for GCS, respectively. Intra- and inter-observer reproducibility were excellent for both parameters (ICC of 0.77–0.99, CoV of 2–5%). This trial demonstrates good inter-vendor agreement and test–retest reproducibility of GLS and GCS measurements, acquired at three different scanners from three different vendors using fSENC. The results indicate that it is necessary to account for a possible bias (< 2%) when comparing strain measurements of different scanners. Technical differences between scanners, which impact inter-vendor agreement, should be further analyzed and minimized. DRKS Registration Number: 00013253. Universal Trial Number (UTN): U1111-1207-5874.
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Affiliation(s)
- Jennifer Erley
- Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Victoria Zieschang
- Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Tomas Lapinskas
- Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.,Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Aylin Demir
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Max-Delbrueck Center for Molecular Medicine, Department of Cardiology and Nephrology, Charité Medical Faculty, HELIOS Klinikum Berlin Buch, Berlin, Germany
| | - Stephanie Wiesemann
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Max-Delbrueck Center for Molecular Medicine, Department of Cardiology and Nephrology, Charité Medical Faculty, HELIOS Klinikum Berlin Buch, Berlin, Germany
| | - Markus Haass
- Department of Internal Medicine/Cardiology/Angiology, Theresienkrankenhaus Und St. Hedwig-Klinik, Mannheim, Germany
| | - Nael F Osman
- Department of Radiology and Radiological Science, School of Medicine, John Hopkins University, Baltimore, MD, USA.,Myocardial Solutions, Inc, Morrisville, NC, USA
| | - Orlando P Simonetti
- Departments of Internal Medicine and Radiology, The Ohio State University, Columbus, OH, USA
| | - Yingmin Liu
- Dorothy M. Davis Heart and Lung Research Institute, Wexner Medical Center, The Ohio State University, Columbus, OH, USA
| | - Amit R Patel
- Department of Cardiology, University of Chicago Medicine, Chicago, IL, USA
| | - Victor Mor-Avi
- Department of Cardiology, University of Chicago Medicine, Chicago, IL, USA
| | - Orhan Unal
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Kevin M Johnson
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Burkert Pieske
- Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.,Department of Internal Medicine/Cardiology, Charité Campus Virchow Klinikum, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Jochen Hansmann
- Department of Radiology, Theresienkrankenhaus Und St. Hedwig-Klinik, Mannheim, Germany
| | - Jeanette Schulz-Menger
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Max-Delbrueck Center for Molecular Medicine, Department of Cardiology and Nephrology, Charité Medical Faculty, HELIOS Klinikum Berlin Buch, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Sebastian Kelle
- Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Augustenburger Platz 1, 13353, Berlin, Germany. .,Department of Internal Medicine/Cardiology, Charité Campus Virchow Klinikum, Berlin, Germany. .,DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.
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38
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Almeida AG. The Importance of Left Atrial Function for Prognosis after Acute Myocardial Infarction. Radiology 2019; 293:303-304. [PMID: 31532301 DOI: 10.1148/radiol.2019191933] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- Ana G Almeida
- From the Department of Cardiology, Faculty of Medicine of Lisbon University, Santa Maria Hospital/CHLN, CAML, CCUL, Av. Professor Egas Moniz, 1649-035 Lisbon, Portugal
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Jeong D, Gladish G, Chitiboi T, Fradley MG, Gage KL, Schiebler ML. MRI in cardio-oncology: A review of cardiac complications in oncologic care. J Magn Reson Imaging 2019; 50:1349-1366. [PMID: 31448472 DOI: 10.1002/jmri.26895] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Accepted: 07/17/2019] [Indexed: 12/23/2022] Open
Abstract
From detailed characterization of cardiac abnormalities to the assessment of cancer treatment-related cardiac dysfunction, cardiac MRI is playing a growing role in the evaluation of cardiac pathology in oncology patients. Current guidelines are now incorporating the use of MRI for the comprehensive multidisciplinary approach to cancer management, and innovative applications of MRI in research are expanding its potential to provide a powerful noninvasive tool in the arsenal against cancer. This review focuses on the application of cardiac MRI to diagnose and manage cardiovascular complications related to cancer and its treatment. Following an introduction to current cardiac MRI methods and principles, this review is divided into two sections: functional cardiovascular analysis and anatomical or tissue characterization related to cancer and cancer therapeutics. Level of Evidence: 5 Technical Efficacy Stage: 1 J. Magn. Reson. Imaging 2019;50:1349-1366.
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Affiliation(s)
- Daniel Jeong
- Department of Diagnostic Imaging and Interventional Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Gregory Gladish
- Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Teodora Chitiboi
- Medical Imaging Technologies, Siemens Healthineers, Princeton, New Jersey, USA
| | - Michael G Fradley
- Cardio-Oncology Program, H. Lee Moffitt Cancer Center & Research Institute and University of South Florida Division of Cardiovascular Medicine, Tampa, Florida, USA
| | - Kenneth L Gage
- Department of Diagnostic Imaging and Interventional Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Mark L Schiebler
- Department of Radiology, University of Wisconsin Madison, Madison, Wisconsin, USA
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40
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Schwaiger JP, Reinstadler SJ, Tiller C, Holzknecht M, Reindl M, Mayr A, Graziadei I, Müller S, Metzler B, Klug G. Baseline LV ejection fraction by cardiac magnetic resonance and 2D echocardiography after ST-elevation myocardial infarction - influence of infarct location and prognostic impact. Eur Radiol 2019; 30:663-671. [PMID: 31428825 PMCID: PMC6890622 DOI: 10.1007/s00330-019-06316-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 05/22/2019] [Accepted: 06/10/2019] [Indexed: 12/18/2022]
Abstract
Objectives The comparability of left ventricular ejection fraction (LVEF) measurements by cardiac magnetic resonance (CMR) and 2D echocardiography (2DE) early after ST-elevation myocardial infarction (STEMI) remains unclear. Methods In this study, LVEF measured by CMR and 2DE (Simpson’s method) were compared in 221 patients after STEMI treated by primary percutaneous coronary intervention. 2DE image quality was systematically assessed and studies reported by an accredited examiner. Intermodality agreement was assessed by the Bland–Altman method. Major adverse cardiac events (MACE) were defined as the composite of death, myocardial infarction or hospitalisation for heart failure. Patients were followed up for a median of 40.9 months (IQR 28.1–56). Results After non-anterior STEMI, LVEF measurements by 2DE (single and biplane) were consistently underestimated in comparison to CMR (CMR 55.7 ± 9.5% vs. 2DE-4CV 49 ± 8.2% (p = 0.06), 2DE-2CV 52 ± 8% (p < 0.001), 2DE-biplane 53.5 ± 7.1% (p = 0.01)). After anterior STEMI, there was no significant difference in LVEF measurements by 2DE and CMR with acceptable limits of agreement (CMR 49 ± 11% vs. 2DE-4CV 49 ± 8.2% (p = 0.8), 2DE-2CV 49 ± 9.2% (p = 0.9), 2DE-biplane 49.6 ± 8% (p = 0.5)). In total, 15% of patients experienced a MACE during follow-up. In multivariate Cox regression analysis, reduced LVEF (< 52%) as assessed by either 2DE or CMR was predictive of MACE (2DE HR = 2.57 (95% CI 1.1–6.2), p = 0.036; CMR HR = 2.51 (95% CI 1.1–5.7), p = 0.028). Conclusions At baseline after non-anterior STEMI, 2D echocardiography significantly underestimated LVEF in comparison to CMR, whereas after anterior infarction, measurements were within acceptable limits of agreement. Both imaging modalities offered similar prognostic values when a reduced LVEF < 52% was applied. Key Points • After non-anterior STEMI, 2D-echocardiography significantly underestimated LVEF compared with cardiac MRI • An ejection fraction of < 52% in the acute post-infarct period by both 2D echocardiography and CMR offered similar prognostic values
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Affiliation(s)
- Johannes P Schwaiger
- Department of Internal Medicine, Academic Teaching Hospital Hall in Tirol, Innsbruck, Austria
| | - Sebastian J Reinstadler
- University Clinic of Internal Medicine III, Cardiology and Angiology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Christina Tiller
- University Clinic of Internal Medicine III, Cardiology and Angiology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Magdalena Holzknecht
- University Clinic of Internal Medicine III, Cardiology and Angiology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Martin Reindl
- University Clinic of Internal Medicine III, Cardiology and Angiology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Agnes Mayr
- Department of Radiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ivo Graziadei
- Department of Internal Medicine, Academic Teaching Hospital Hall in Tirol, Innsbruck, Austria
| | - Silvana Müller
- University Clinic of Internal Medicine III, Cardiology and Angiology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Bernhard Metzler
- University Clinic of Internal Medicine III, Cardiology and Angiology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Gert Klug
- University Clinic of Internal Medicine III, Cardiology and Angiology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
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Achilli F, Pontone G, Bassetti B, Squadroni L, Campodonico J, Corrada E, Facchini C, Mircoli L, Esposito G, Scarpa D, Pidello S, Righetti S, Di Gennaro F, Guglielmo M, Muscogiuri G, Baggiano A, Limido A, Lenatti L, Di Tano G, Malafronte C, Soffici F, Ceseri M, Maggiolini S, Colombo GI, Pompilio G. G-CSF for Extensive STEMI. Circ Res 2019; 125:295-306. [PMID: 31138020 DOI: 10.1161/circresaha.118.314617] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
RATIONALE In the exploratory Phase II STEM-AMI (Stem Cells Mobilization in Acute Myocardial Infarction) trial, we reported that early administration of G-CSF (granulocyte colony-stimulating factor), in patients with anterior ST-segment-elevation myocardial infarction and left ventricular (LV) dysfunction after successful percutaneous coronary intervention, had the potential to significantly attenuate LV adverse remodeling in the long-term. OBJECTIVE The STEM-AMI OUTCOME CMR (Stem Cells Mobilization in Acute Myocardial Infarction Outcome Cardiac Magnetic Resonance) Substudy was adequately powered to evaluate, in a population showing LV ejection fraction ≤45% after percutaneous coronary intervention for extensive ST-segment-elevation myocardial infarction, the effects of early administration of G-CSF in terms of LV remodeling and function, infarct size assessed by late gadolinium enhancement, and myocardial strain. METHODS AND RESULTS Within the Italian, multicenter, prospective, randomized, Phase III STEM-AMI OUTCOME trial, 161 ST-segment-elevation myocardial infarction patients were enrolled in the CMR Substudy and assigned to standard of care (SOC) plus G-CSF or SOC alone. In 119 patients (61 G-CSF and 58 SOC, respectively), CMR was available at baseline and 6-month follow-up. Paired imaging data were independently analyzed by 2 blinded experts in a core CMR lab. The 2 groups were similar for clinical characteristics, cardiovascular risk factors, and pharmacological treatment, except for a trend towards a larger infarct size and longer symptom-to-balloon time in G-CSF patients. ANCOVA showed that the improvement of LV ejection fraction from baseline to 6 months was 5.1% higher in G-CSF patients versus SOC (P=0.01); concurrently, there was a significant between-group difference of 6.7 mL/m2 in the change of indexed LV end-systolic volume in favor of G-CSF group (P=0.02). Indexed late gadolinium enhancement significantly decreased in G-CSF group only (P=0.04). Moreover, over time improvement of global longitudinal strain was 2.4% higher in G-CSF patients versus SOC (P=0.04). Global circumferential strain significantly improved in G-CSF group only (P=0.006). CONCLUSIONS Early administration of G-CSF exerted a beneficial effect on top of SOC in patients with LV dysfunction after extensive ST-segment-elevation myocardial infarction in terms of global systolic function, adverse remodeling, scar size, and myocardial strain. CLINICAL TRIAL REGISTRATION URL: https://www.clinicaltrials.gov. Unique identifier: NCT01969890.
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Affiliation(s)
- Felice Achilli
- From the Departments of Cardiology (F.A., S.R., C.M., F.S.), ASST-Monza, San Gerardo Hospital, Monza, Italy
| | - Gianluca Pontone
- Cardiovascular Imaging (G. Pontone, M.G., G.M., A.B.), Centro Cardiologico Monzino IRCCS, Milano, Italy.,Dipartimento di Scienze Cliniche e di Comunità, Università degli Studi di Milano, Italy (G.P.)
| | - Beatrice Bassetti
- Vascular Biology and Regenerative Medicine Unit (B.B., G. Pompilio), Centro Cardiologico Monzino IRCCS, Milano, Italy
| | - Lidia Squadroni
- Department of Cardiology, San Carlo Borromeo Hospital, Milano, Italy (L.S.)
| | - Jeness Campodonico
- Intensive Cardiac Care Unit (J.C.), Centro Cardiologico Monzino IRCCS, Milano, Italy
| | - Elena Corrada
- Cardiovascular Department, Humanitas Clinical and Research Center IRCCS, Rozzano, Italy (E.C.)
| | | | - Luca Mircoli
- Cardiology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy (L.M.)
| | - Giovanni Esposito
- Division of Cardiology, Department of Advanced Biomedical Sciences, University of Naples Federico II, Napoli, Italy (G.E.)
| | - Daniele Scarpa
- Cardiology, Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Italy (D.S.)
| | - Stefano Pidello
- Cardiology, Città della Salute e della Scienza University Hospital of Torino, Italy (S.P.)
| | - Stefano Righetti
- From the Departments of Cardiology (F.A., S.R., C.M., F.S.), ASST-Monza, San Gerardo Hospital, Monza, Italy
| | | | - Marco Guglielmo
- Cardiovascular Imaging (G. Pontone, M.G., G.M., A.B.), Centro Cardiologico Monzino IRCCS, Milano, Italy
| | - Giuseppe Muscogiuri
- Cardiovascular Imaging (G. Pontone, M.G., G.M., A.B.), Centro Cardiologico Monzino IRCCS, Milano, Italy
| | - Andrea Baggiano
- Cardiovascular Imaging (G. Pontone, M.G., G.M., A.B.), Centro Cardiologico Monzino IRCCS, Milano, Italy
| | - Alberto Limido
- Coronary Intensive Care Unit, ASST-Settelaghi, Ospedale di Circolo-Fondazione Macchi, Varese, Italy (A.L.)
| | - Laura Lenatti
- Cardiology, Alessandro Manzoni Hospital, Lecco, Italy (L.L.)
| | | | - Cristina Malafronte
- From the Departments of Cardiology (F.A., S.R., C.M., F.S.), ASST-Monza, San Gerardo Hospital, Monza, Italy
| | - Federica Soffici
- From the Departments of Cardiology (F.A., S.R., C.M., F.S.), ASST-Monza, San Gerardo Hospital, Monza, Italy
| | - Martina Ceseri
- ANMCO Research Center, Heart Care Foundation, Firenze, Italy (M.C.)
| | | | - Gualtiero I Colombo
- Immunology and Functional Genomics Unit (G.I.C.), Centro Cardiologico Monzino IRCCS, Milano, Italy
| | - Giulio Pompilio
- Vascular Biology and Regenerative Medicine Unit (B.B., G. Pompilio), Centro Cardiologico Monzino IRCCS, Milano, Italy
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Mangion K, Burke NMM, McComb C, Carrick D, Woodward R, Berry C. Feature-tracking myocardial strain in healthy adults- a magnetic resonance study at 3.0 tesla. Sci Rep 2019; 9:3239. [PMID: 30824793 PMCID: PMC6397185 DOI: 10.1038/s41598-019-39807-w] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Accepted: 01/29/2019] [Indexed: 12/16/2022] Open
Abstract
We analyzed feature-tracking derived circumferential and longitudinal strain in healthy volunteers who underwent cardiac magnetic resonance imaging (CMR) at 3.0 T. 88 healthy adults (44.6 ± 18.0 years old, 49% male), without prior cardiovascular disease, underwent CMR at 3.0 T including cine, and late gadolinium enhancement in subjects >45 years. LV functional analysis and feature-tracking strain analyses were carried out. Global strain had better reproducibility than segmental strain. There was a sex specific difference global longitudinal strain (mean ± SD, -18.48 ± 3.65% (male), -21.91 ± 3.01% (female), p < 0.001), but not global circumferential strain (mean ± SD, -25.41 ± 4.50% (male), -27.94 ± 3.48% (female), p = 0.643). There was no association of strain with ageing after accounting for sex for both global longitudinal and circumferential strain. Feature-tracking strain analysis is feasible at 3.0 T. Healthy female volunteers demonstrated higher magnitudes of global longitudinal strain when compared to male counterparts. Whilst global cine-strain has good reproducibility, segmental strain does not.
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Affiliation(s)
- Kenneth Mangion
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
- West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, UK
| | - Nicole M M Burke
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
| | - Christie McComb
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
- Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, UK
| | - David Carrick
- West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, UK
| | - Rosemary Woodward
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
| | - Colin Berry
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK.
- West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, UK.
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Zheng T, Ma X, Li S, Ueda T, Wang Z, Lu A, Zhou W, Zou H, Zhao L, Gong L. Value of Cardiac Magnetic Resonance Fractal Analysis Combined With Myocardial Strain in Discriminating Isolated Left Ventricular Noncompaction and Dilated Cardiomyopathy. J Magn Reson Imaging 2018; 50:153-163. [PMID: 30565346 DOI: 10.1002/jmri.26616] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Revised: 11/25/2018] [Accepted: 11/26/2018] [Indexed: 01/11/2023] Open
Affiliation(s)
- Tian Zheng
- Department of RadiologySecond Affiliated Hospital of Nanchang University Nanchang Jiangxi Province China
| | - Xiaohai Ma
- Department of RadiologyBeijing Anzhen Hospital, Capital Medical University Beijing China
| | - Shuhao Li
- Department of RadiologySecond Affiliated Hospital of Nanchang University Nanchang Jiangxi Province China
| | - Takuya Ueda
- Department of RadiologyTohoku University Hospital Miyagi Japan
| | - Zheng Wang
- Department of RadiologyBeijing Anzhen Hospital, Capital Medical University Beijing China
| | - Aijia Lu
- Department of RadiologyBeijing Anzhen Hospital, Capital Medical University Beijing China
| | - Wei Zhou
- Department of RadiologySecond Affiliated Hospital of Nanchang University Nanchang Jiangxi Province China
| | - Hongye Zou
- Department of RadiologySecond Affiliated Hospital of Nanchang University Nanchang Jiangxi Province China
| | - Lei Zhao
- Department of RadiologyBeijing Anzhen Hospital, Capital Medical University Beijing China
| | - Lianggeng Gong
- Department of RadiologySecond Affiliated Hospital of Nanchang University Nanchang Jiangxi Province China
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Muser D, Castro SA, Santangeli P, Nucifora G. Clinical applications of feature-tracking cardiac magnetic resonance imaging. World J Cardiol 2018; 10:210-221. [PMID: 30510638 PMCID: PMC6259029 DOI: 10.4330/wjc.v10.i11.210] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Revised: 09/04/2018] [Accepted: 10/09/2018] [Indexed: 02/06/2023] Open
Abstract
Cardiovascular diseases represent the leading cause of mortality and morbidity in the western world. Assessment of cardiac function is pivotal for early diagnosis of primitive myocardial disorders, identification of cardiac involvement in systemic diseases, detection of drug-related cardiac toxicity as well as risk stratification and monitor of treatment effects in patients with heart failure of various etiology. Determination of ejection fraction with different imaging modalities currently represents the gold standard for evaluation of cardiac function. However, in the last few years, cardiovascular magnetic resonance feature tracking techniques has emerged as a more accurate tool for quantitative evaluation of cardiovascular function with several parameters including strain, strain-rate, torsion and mechanical dispersion. This imaging modality allows precise quantification of ventricular and atrial mechanics by directly evaluating myocardial fiber deformation. The purpose of this article is to review the basic principles, current clinical applications and future perspectives of cardiovascular magnetic resonance myocardial feature tracking, highlighting its prognostic implications.
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Affiliation(s)
- Daniele Muser
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Simon A Castro
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Pasquale Santangeli
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Gaetano Nucifora
- NorthWest Cardiac Imaging Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester M23 9LT, United Kingdom.
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Mangion K, Carrick D, Carberry J, Mahrous A, McComb C, Oldroyd KG, Eteiba H, Lindsay M, McEntegart M, Hood S, Petrie MC, Watkins S, Davie A, Zhong X, Epstein FH, Haig CE, Berry C. Circumferential Strain Predicts Major Adverse Cardiovascular Events Following an Acute ST-Segment-Elevation Myocardial Infarction. Radiology 2018; 290:329-337. [PMID: 30457480 DOI: 10.1148/radiol.2018181253] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Purpose To investigate the prognostic value of circumferential left ventricular (LV) strain measured by using cardiac MRI for prediction of major adverse cardiac events (MACE) following an acute ST-segment-elevation myocardial infarction (STEMI). Materials and Methods Participants with acute STEMI were prospectively enrolled from May 11, 2011, to November 22, 2012. Cardiac MRI was performed at 1.5 T during the index hospitalization. Displacement encoding with stimulated echoes (DENSE) and feature tracking of cine cardiac MRI was used to assess circumferential LV strain. MACE that occurred after discharge were independently assessed by cardiologists blinded to the baseline observations. Results A total of 259 participants (mean age, 58 years ± 11 [standard deviation]; 198 men [mean age, 58 years ± 11] and 61 women [mean age, 58 years ± 12]) underwent cardiac MRI 2.2 days ± 1.9 after STEMI. Average infarct size was 18% ± 13 of LV mass and circumferential strain was -13% ± 3 (DENSE method) and -24% ± 7 (feature- tracking method). Fifty-one percent (131 of 259 participants) had presence of microvascular obstruction. During a median follow-up period of 4 years, 8% (21 of 259) experienced MACE. Area under the curve (AUC) for DENSE was different from that of feature tracking (AUC, 0.76 vs 0.62; P = .03). AUC for DENSE was similar to that of initial infarct size (P = .06) and extent of microvascular obstruction (P = .08). DENSE-derived strain provided incremental prognostic benefit over infarct size for prediction of MACE (hazard ratio, 1.3; P < .01). Conclusion Circumferential strain has independent prognostic importance in study participants with acute ST-segment-elevation myocardial infarction. Published under a CC BY 4.0 license. Online supplemental material is available for this article. See also the editorial by Kramer in this issue.
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Affiliation(s)
- Kenneth Mangion
- From the British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences (K.M., D.C., J.C., C.M., M.C.P., C.B.), and Robertson Centre for Biostatistics (C.E.H.), University of Glasgow, 126 University Place, Glasgow G12 8TA, Scotland; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, Scotland (K.M., D.C., A.M., K.G.O., H.E., M.L., M.M., S.H., M.C.P., S.W., A.D., C.B.); Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, Scotland (C.M.); Department of MR R&D Collaborations, Siemens Healthcare, Atlanta, Ga (X.Z.); and Department of Biomedical Engineering, University of Virginia, Charlottesville, Va (F.H.E.)
| | - David Carrick
- From the British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences (K.M., D.C., J.C., C.M., M.C.P., C.B.), and Robertson Centre for Biostatistics (C.E.H.), University of Glasgow, 126 University Place, Glasgow G12 8TA, Scotland; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, Scotland (K.M., D.C., A.M., K.G.O., H.E., M.L., M.M., S.H., M.C.P., S.W., A.D., C.B.); Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, Scotland (C.M.); Department of MR R&D Collaborations, Siemens Healthcare, Atlanta, Ga (X.Z.); and Department of Biomedical Engineering, University of Virginia, Charlottesville, Va (F.H.E.)
| | - Jaclyn Carberry
- From the British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences (K.M., D.C., J.C., C.M., M.C.P., C.B.), and Robertson Centre for Biostatistics (C.E.H.), University of Glasgow, 126 University Place, Glasgow G12 8TA, Scotland; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, Scotland (K.M., D.C., A.M., K.G.O., H.E., M.L., M.M., S.H., M.C.P., S.W., A.D., C.B.); Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, Scotland (C.M.); Department of MR R&D Collaborations, Siemens Healthcare, Atlanta, Ga (X.Z.); and Department of Biomedical Engineering, University of Virginia, Charlottesville, Va (F.H.E.)
| | - Ahmed Mahrous
- From the British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences (K.M., D.C., J.C., C.M., M.C.P., C.B.), and Robertson Centre for Biostatistics (C.E.H.), University of Glasgow, 126 University Place, Glasgow G12 8TA, Scotland; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, Scotland (K.M., D.C., A.M., K.G.O., H.E., M.L., M.M., S.H., M.C.P., S.W., A.D., C.B.); Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, Scotland (C.M.); Department of MR R&D Collaborations, Siemens Healthcare, Atlanta, Ga (X.Z.); and Department of Biomedical Engineering, University of Virginia, Charlottesville, Va (F.H.E.)
| | - Christie McComb
- From the British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences (K.M., D.C., J.C., C.M., M.C.P., C.B.), and Robertson Centre for Biostatistics (C.E.H.), University of Glasgow, 126 University Place, Glasgow G12 8TA, Scotland; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, Scotland (K.M., D.C., A.M., K.G.O., H.E., M.L., M.M., S.H., M.C.P., S.W., A.D., C.B.); Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, Scotland (C.M.); Department of MR R&D Collaborations, Siemens Healthcare, Atlanta, Ga (X.Z.); and Department of Biomedical Engineering, University of Virginia, Charlottesville, Va (F.H.E.)
| | - Keith G Oldroyd
- From the British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences (K.M., D.C., J.C., C.M., M.C.P., C.B.), and Robertson Centre for Biostatistics (C.E.H.), University of Glasgow, 126 University Place, Glasgow G12 8TA, Scotland; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, Scotland (K.M., D.C., A.M., K.G.O., H.E., M.L., M.M., S.H., M.C.P., S.W., A.D., C.B.); Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, Scotland (C.M.); Department of MR R&D Collaborations, Siemens Healthcare, Atlanta, Ga (X.Z.); and Department of Biomedical Engineering, University of Virginia, Charlottesville, Va (F.H.E.)
| | - Hany Eteiba
- From the British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences (K.M., D.C., J.C., C.M., M.C.P., C.B.), and Robertson Centre for Biostatistics (C.E.H.), University of Glasgow, 126 University Place, Glasgow G12 8TA, Scotland; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, Scotland (K.M., D.C., A.M., K.G.O., H.E., M.L., M.M., S.H., M.C.P., S.W., A.D., C.B.); Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, Scotland (C.M.); Department of MR R&D Collaborations, Siemens Healthcare, Atlanta, Ga (X.Z.); and Department of Biomedical Engineering, University of Virginia, Charlottesville, Va (F.H.E.)
| | - Mitchell Lindsay
- From the British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences (K.M., D.C., J.C., C.M., M.C.P., C.B.), and Robertson Centre for Biostatistics (C.E.H.), University of Glasgow, 126 University Place, Glasgow G12 8TA, Scotland; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, Scotland (K.M., D.C., A.M., K.G.O., H.E., M.L., M.M., S.H., M.C.P., S.W., A.D., C.B.); Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, Scotland (C.M.); Department of MR R&D Collaborations, Siemens Healthcare, Atlanta, Ga (X.Z.); and Department of Biomedical Engineering, University of Virginia, Charlottesville, Va (F.H.E.)
| | - Margaret McEntegart
- From the British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences (K.M., D.C., J.C., C.M., M.C.P., C.B.), and Robertson Centre for Biostatistics (C.E.H.), University of Glasgow, 126 University Place, Glasgow G12 8TA, Scotland; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, Scotland (K.M., D.C., A.M., K.G.O., H.E., M.L., M.M., S.H., M.C.P., S.W., A.D., C.B.); Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, Scotland (C.M.); Department of MR R&D Collaborations, Siemens Healthcare, Atlanta, Ga (X.Z.); and Department of Biomedical Engineering, University of Virginia, Charlottesville, Va (F.H.E.)
| | - Stuart Hood
- From the British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences (K.M., D.C., J.C., C.M., M.C.P., C.B.), and Robertson Centre for Biostatistics (C.E.H.), University of Glasgow, 126 University Place, Glasgow G12 8TA, Scotland; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, Scotland (K.M., D.C., A.M., K.G.O., H.E., M.L., M.M., S.H., M.C.P., S.W., A.D., C.B.); Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, Scotland (C.M.); Department of MR R&D Collaborations, Siemens Healthcare, Atlanta, Ga (X.Z.); and Department of Biomedical Engineering, University of Virginia, Charlottesville, Va (F.H.E.)
| | - Mark C Petrie
- From the British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences (K.M., D.C., J.C., C.M., M.C.P., C.B.), and Robertson Centre for Biostatistics (C.E.H.), University of Glasgow, 126 University Place, Glasgow G12 8TA, Scotland; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, Scotland (K.M., D.C., A.M., K.G.O., H.E., M.L., M.M., S.H., M.C.P., S.W., A.D., C.B.); Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, Scotland (C.M.); Department of MR R&D Collaborations, Siemens Healthcare, Atlanta, Ga (X.Z.); and Department of Biomedical Engineering, University of Virginia, Charlottesville, Va (F.H.E.)
| | - Stuart Watkins
- From the British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences (K.M., D.C., J.C., C.M., M.C.P., C.B.), and Robertson Centre for Biostatistics (C.E.H.), University of Glasgow, 126 University Place, Glasgow G12 8TA, Scotland; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, Scotland (K.M., D.C., A.M., K.G.O., H.E., M.L., M.M., S.H., M.C.P., S.W., A.D., C.B.); Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, Scotland (C.M.); Department of MR R&D Collaborations, Siemens Healthcare, Atlanta, Ga (X.Z.); and Department of Biomedical Engineering, University of Virginia, Charlottesville, Va (F.H.E.)
| | - Andrew Davie
- From the British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences (K.M., D.C., J.C., C.M., M.C.P., C.B.), and Robertson Centre for Biostatistics (C.E.H.), University of Glasgow, 126 University Place, Glasgow G12 8TA, Scotland; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, Scotland (K.M., D.C., A.M., K.G.O., H.E., M.L., M.M., S.H., M.C.P., S.W., A.D., C.B.); Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, Scotland (C.M.); Department of MR R&D Collaborations, Siemens Healthcare, Atlanta, Ga (X.Z.); and Department of Biomedical Engineering, University of Virginia, Charlottesville, Va (F.H.E.)
| | - Xiaodong Zhong
- From the British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences (K.M., D.C., J.C., C.M., M.C.P., C.B.), and Robertson Centre for Biostatistics (C.E.H.), University of Glasgow, 126 University Place, Glasgow G12 8TA, Scotland; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, Scotland (K.M., D.C., A.M., K.G.O., H.E., M.L., M.M., S.H., M.C.P., S.W., A.D., C.B.); Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, Scotland (C.M.); Department of MR R&D Collaborations, Siemens Healthcare, Atlanta, Ga (X.Z.); and Department of Biomedical Engineering, University of Virginia, Charlottesville, Va (F.H.E.)
| | - Frederick H Epstein
- From the British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences (K.M., D.C., J.C., C.M., M.C.P., C.B.), and Robertson Centre for Biostatistics (C.E.H.), University of Glasgow, 126 University Place, Glasgow G12 8TA, Scotland; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, Scotland (K.M., D.C., A.M., K.G.O., H.E., M.L., M.M., S.H., M.C.P., S.W., A.D., C.B.); Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, Scotland (C.M.); Department of MR R&D Collaborations, Siemens Healthcare, Atlanta, Ga (X.Z.); and Department of Biomedical Engineering, University of Virginia, Charlottesville, Va (F.H.E.)
| | - Caroline E Haig
- From the British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences (K.M., D.C., J.C., C.M., M.C.P., C.B.), and Robertson Centre for Biostatistics (C.E.H.), University of Glasgow, 126 University Place, Glasgow G12 8TA, Scotland; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, Scotland (K.M., D.C., A.M., K.G.O., H.E., M.L., M.M., S.H., M.C.P., S.W., A.D., C.B.); Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, Scotland (C.M.); Department of MR R&D Collaborations, Siemens Healthcare, Atlanta, Ga (X.Z.); and Department of Biomedical Engineering, University of Virginia, Charlottesville, Va (F.H.E.)
| | - Colin Berry
- From the British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences (K.M., D.C., J.C., C.M., M.C.P., C.B.), and Robertson Centre for Biostatistics (C.E.H.), University of Glasgow, 126 University Place, Glasgow G12 8TA, Scotland; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, Scotland (K.M., D.C., A.M., K.G.O., H.E., M.L., M.M., S.H., M.C.P., S.W., A.D., C.B.); Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, Scotland (C.M.); Department of MR R&D Collaborations, Siemens Healthcare, Atlanta, Ga (X.Z.); and Department of Biomedical Engineering, University of Virginia, Charlottesville, Va (F.H.E.)
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Nucifora G, Muser D, Tioni C, Shah R, Selvanayagam JB. Prognostic value of myocardial deformation imaging by cardiac magnetic resonance feature-tracking in patients with a first ST-segment elevation myocardial infarction. Int J Cardiol 2018; 271:387-391. [DOI: 10.1016/j.ijcard.2018.05.082] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2018] [Revised: 04/26/2018] [Accepted: 05/22/2018] [Indexed: 12/20/2022]
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47
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Berry C, Mangion K, Pathan F. Spotlight on Strain Following Myocardial Infarction. JACC Cardiovasc Imaging 2018; 11:1445-1447. [PMID: 30286907 DOI: 10.1016/j.jcmg.2018.01.004] [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: 12/18/2017] [Accepted: 01/03/2018] [Indexed: 11/29/2022]
Affiliation(s)
- Colin Berry
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom; Golden Jubilee National Hospital, Clydebank, United Kingdom.
| | - Kenneth Mangion
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom; Golden Jubilee National Hospital, Clydebank, United Kingdom
| | - Faraz Pathan
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Goethe Institute for Experimental and Translational Cardiovascular Imaging, Frankfurt, Germany
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48
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Santi GLD, Moreira HT, Carvalho EEVD, Crescêncio JC, Schmidt A, Marin-Neto JA, Gallo-Júnior L. Influence of Aerobic Training on The Mechanics of Ventricular Contraction After Acute Myocardial Infarction: A Pilot Study. Arq Bras Cardiol 2018; 110:383-387. [PMID: 29791580 PMCID: PMC5941964 DOI: 10.5935/abc.20180049] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Accepted: 10/19/2017] [Indexed: 12/13/2022] Open
Abstract
The study of myocardial contractility, based on the new anatomical concepts that govern cardiac mechanics, represents a promising strategy of analysis of myocardial adaptations related to physical training in the context of post-infarction. We investigated the influence of aerobic training on physical capacity and on the evaluation parameters of left ventricular contraction mechanics in patients with myocardial infarction. Thirty-one patients (55.1 ± 8.9 years) who had myocardial infarction in the anterior wall were prospectively investigated in three groups: interval training group (ITG) (n = 10), moderate training group (MTG) n = 10) and control group (CG) (n = 10). Before and after 12 weeks of clinical follow-up, patients underwent cardiopulmonary exercise testing and cardiac magnetic resonance imaging. The trained groups performed supervised aerobic training on treadmill, in two different intensities. A statistically significant increase in peak oxygen uptake (VO2) was observed in the ITG (19.2 ± 5.1 at 21.9 ± 5.6 ml/kg/min, p < 0.01) and in the MTG 18.8 ± 3.7 to 21.6 ± 4.5 ml/kg/min, p < 0.01). The GC did not present a statistically significant change in peak VO2. A statistically significant increase in radial strain (STRAD) was observed in the CG: basal STRAD (57.4 ± 16.6 to 84.1 ± 30.9%, p < 0.05), medial STRAD (57.8 ± 27, 9 to 74.3 ± 36.1%, p < 0.05) and apical STRAD (38.2 ± 26.0 to 52.4 ± 29.8%, p < 0.01). The trained groups did not present a statistically significant change of the radial strain. The present study points to a potential clinical application of the parameters of ventricular contraction mechanics analysis, especially radial strain, to discriminate post-infarction myocardial adaptations between patients submitted or not to aerobic training programs.
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Affiliation(s)
- Giovani Luiz De Santi
- Hospital das Clínicas, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Henrique Turin Moreira
- Hospital das Clínicas, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, São Paulo, SP, Brazil
| | | | - Júlio César Crescêncio
- Hospital das Clínicas, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, São Paulo, SP, Brazil
| | - André Schmidt
- Hospital das Clínicas, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, São Paulo, SP, Brazil
| | - José Antônio Marin-Neto
- Hospital das Clínicas, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Lourenço Gallo-Júnior
- Hospital das Clínicas, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, São Paulo, SP, Brazil
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49
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Rademakers F, Nagel E. Is Global Longitudinal Strain a Superior Parameter for Predicting Outcome After Myocardial Infarction? JACC Cardiovasc Imaging 2017; 11:1458-1460. [PMID: 29248650 DOI: 10.1016/j.jcmg.2017.11.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Accepted: 11/03/2017] [Indexed: 12/17/2022]
Affiliation(s)
- Frank Rademakers
- Department of Cardiovascular Sciences, Cardiovascular imaging and dynamics, University Hospitals Leuven, KU Leuven, Leuven, Belgium.
| | - Eike Nagel
- DZHK Centre for Cardiovascular Imaging, Institute for Experimental and Translational Cardiovascular Imaging, University Hospital Frankfurt, Frankfurt am Main, Germany
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