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Fong FW, Hwang S, Xu Y, Hui WHA, Leung KHG, Lin L, Ho SY, Tang HS, Kwan CT, Ng PP, Hai JSH, Kwok FYJ, Sze HF, Fong AHT, Wan EYF, Lai YTA, Leung ST, Chan HL, Chan WSC, Cheung SCW, Lee CYJ, Yiu KH, Pennell DJ, Mohiaddin RH, Yan AT, Ng MY. Prognostic Utility of Left Atrial Strain From MRI Feature Tracking in Ischemic and Nonischemic Dilated Cardiomyopathy: A Multicenter Study. AJR Am J Roentgenol 2024; 222:e2330357. [PMID: 38323782 DOI: 10.2214/ajr.23.30357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
BACKGROUND. MRI-based prognostic evaluation in patients with dilated cardiomyopathy (DCM) has historically used markers of late gadolinium enhancement (LGE) and feature tracking (FT)-derived left ventricular global longitudinal strain (LVGLS). Early data indicate that FT-derived left atrial strain (LAS) parameters, including reservoir, conduit, and booster, may also have prognostic roles in such patients. OBJECTIVE. The purpose of our study was to evaluate the prognostic utility of LAS parameters, derived from MRI FT, in patients with ischemic or nonischemic DCM, including in comparison with the traditional parameters of LGE and LVGLS. METHODS. This retrospective study included 811 patients with ischemic or nonischemic DCM (median age, 60 years; 640 men, 171 women) who underwent cardiac MRI at any of five centers. FT-derived LAS parameters and LVGLS were measured using two- and four-chamber cine images. LGE percentage was quantified. Patients were assessed for a composite outcome of all-cause mortality or heart failure hospitalization. Multivariable Cox regression analyses including demographic characteristics, cardiovascular risk factors, medications used, and a wide range of cardiac MRI parameters were performed. Kaplan-Meier analyses with log-rank tests were also performed. RESULTS. A total of 419 patients experienced the composite outcome. Patients who did, versus those who did not, experience the composite outcome had larger LVGLS (-6.7% vs -8.3%, respectively; p < .001) as well as a smaller LAS reservoir (13.3% vs 19.3%, p < .001), LAS conduit (4.7% vs 8.0%, p < .001), and LAS booster (8.1% vs 10.3%, p < .001) but no significant difference in LGE (10.1% vs 11.3%, p = .51). In multivariable Cox regression analyses, significant independent predictors of the composite outcome included LAS reservoir (HR = 0.96, p < .001) and LAS conduit (HR = 0.91, p < .001). LAS booster and LGE were not significant independent predictors in the models. LVGLS was a significant independent predictor only in a model that initially included LAS booster but not the other LAS parameters. In Kaplan-Meier analysis, all three LAS parameters were significantly associated with the composite outcome (p < .001). CONCLUSION. In this multicenter study, LAS reservoir and LAS conduit were significant independent prognostic markers in patients with ischemic or nonischemic DCM, showing greater prognostic utility than the currently applied markers of LVGLS and LGE. CLINICAL IMPACT. FT-derived LAS analysis provides incremental prognostic information in patients with DCM.
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Affiliation(s)
- Fai Wang Fong
- Department of Diagnostic Radiology, The University of Hong Kong, Rm 406, Block K, Queen Mary Hospital, 102 Pokfulam Rd, Hong Kong SAR
| | - Subin Hwang
- Department of Diagnostic Radiology, The University of Hong Kong, Rm 406, Block K, Queen Mary Hospital, 102 Pokfulam Rd, Hong Kong SAR
| | - Yueyi Xu
- Department of Diagnostic Radiology, The University of Hong Kong, Rm 406, Block K, Queen Mary Hospital, 102 Pokfulam Rd, Hong Kong SAR
| | | | - Kwan Ho Gordon Leung
- Department of Diagnostic Radiology, The University of Hong Kong, Rm 406, Block K, Queen Mary Hospital, 102 Pokfulam Rd, Hong Kong SAR
| | - Lu Lin
- Department of Diagnostic Radiology, The University of Hong Kong, Rm 406, Block K, Queen Mary Hospital, 102 Pokfulam Rd, Hong Kong SAR
- Department of Medical Imaging, Peking Union Medical College, Beijing, China
| | - Shui Yan Ho
- Department of Diagnostic Radiology, The University of Hong Kong, Rm 406, Block K, Queen Mary Hospital, 102 Pokfulam Rd, Hong Kong SAR
| | - Hok Shing Tang
- Department of Diagnostic Radiology, The University of Hong Kong, Rm 406, Block K, Queen Mary Hospital, 102 Pokfulam Rd, Hong Kong SAR
| | - Chi Ting Kwan
- Department of Diagnostic Radiology, The University of Hong Kong, Rm 406, Block K, Queen Mary Hospital, 102 Pokfulam Rd, Hong Kong SAR
| | - Pan Pan Ng
- Department of Radiology and Imaging, Queen Elizabeth Hospital, Hong Kong SAR
| | - Jojo Siu Han Hai
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR
| | - Fung Yu James Kwok
- Department of Diagnostic Radiology, The University of Hong Kong, Rm 406, Block K, Queen Mary Hospital, 102 Pokfulam Rd, Hong Kong SAR
| | - Ho Fung Sze
- Department of Diagnostic Radiology, The University of Hong Kong, Rm 406, Block K, Queen Mary Hospital, 102 Pokfulam Rd, Hong Kong SAR
| | - Ambrose Ho Tung Fong
- Department of Diagnostic Radiology, The University of Hong Kong, Rm 406, Block K, Queen Mary Hospital, 102 Pokfulam Rd, Hong Kong SAR
| | - Eric Yuk Fai Wan
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong SAR
| | - Yee Tak Alta Lai
- Department of Radiology, Pamela Youde Nethersole Eastern Hospital, Hong Kong SAR
- Department of Radiology, Ruttonjee and Tang Shiu Kin Hospitals, Hong Kong SAR
| | - Siu Ting Leung
- Imaging and Intervention Radiology Centre, CUHK Medical Centre, Hong Kong SAR
| | - Hiu Lam Chan
- Department of Medicine, Pamela Youde Nethersole Eastern Hospital, Hong Kong SAR
| | | | | | - Chun Yin Jonan Lee
- Department of Radiology and Imaging, Queen Elizabeth Hospital, Hong Kong SAR
| | - Kai-Hang Yiu
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR
| | - Dudley J Pennell
- Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Raad H Mohiaddin
- Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Andrew T Yan
- Departments of Medicine and Medical Imaging, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Ming-Yen Ng
- Department of Diagnostic Radiology, The University of Hong Kong, Rm 406, Block K, Queen Mary Hospital, 102 Pokfulam Rd, Hong Kong SAR
- Department of Medical Imaging, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
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Korosoglou G, Sagris M, André F, Steen H, Montenbruck M, Frey N, Kelle S. Systematic review and meta-analysis for the value of cardiac magnetic resonance strain to predict cardiac outcomes. Sci Rep 2024; 14:1094. [PMID: 38212323 PMCID: PMC10784294 DOI: 10.1038/s41598-023-50835-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 12/26/2023] [Indexed: 01/13/2024] Open
Abstract
Cardiac magnetic resonance (CMR) is the gold standard for the diagnostic classification and risk stratification in most patients with cardiac disorders. The aim of the present study was to investigate the ability of Strain-encoded MR (SENC) for the prediction of major adverse cardiovascular events (MACE). A systematic review and meta-analysis was performed according to the PRISMA Guidelines, including patients with or without cardiovascular disease and asymptomatic individuals. Myocardial strain by HARP were used as pulse sequences in 1.5 T scanners. Published literature in MEDLINE (PubMed) and Cochrane's databases were explored before February 2023 for studies assessing the clinical utility of myocardial strain by Harmonic Phase Magnetic Resonance Imaging (HARP), Strain-encoded MR (SENC) or fast-SENC. In total, 8 clinical trials (4 studies conducted in asymptomatic individuals and 4 in patients with suspected or known cardiac disease) were included in this systematic review, while 3 studies were used for our meta-analysis, based on individual patient level data. Kaplan-Meier analysis and Cox proportional hazard models were used, testing the ability of myocardial strain by HARP and SENC/fast-SENC for the prediction of MACE. Strain enabled risk stratification in asymptomatic individuals, predicting MACE and the development of incident heart failure. Of 1332 patients who underwent clinically indicated CMR, including SENC or fast-SENC acquisitions, 19 patients died, 28 experienced non-fatal infarctions, 52 underwent coronary revascularization and 86 were hospitalized due to heart failure during median 22.4 (17.2-28.5) months of follow-up. SENC/fast-SENC, predicted both all-cause mortality and MACE with high accuracy (HR = 3.0, 95% CI = 1.2-7.6, p = 0.02 and HR = 4.1, 95% CI = 3.0-5.5, respectively, p < 0.001). Using hierarchical Cox-proportional hazard regression models, SENC/fast-SENC exhibited incremental value to clinical data and conventional CMR parameters. Reduced myocardial strain predicts of all-cause mortality and cardiac outcomes in symptomatic patients with a wide range of ischemic or non-ischemic cardiac diseases, whereas in asymptomatic individuals, reduced strain was a precursor of incident heart failure.
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Affiliation(s)
- Grigorios Korosoglou
- Departments of Cardiology, Vascular Medicine and Pneumology, GRN Academic Teaching Hospital Weinheim, Roentgenstrasse 1, 69469, Weinheim, Germany.
- Cardiac Imaging Center Weinheim, Hector Foundations, Weinheim, Germany.
| | - Marios Sagris
- Hippokration General Hospital, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece
| | - Florian André
- Departments of Cardiology, Angiology and Pneumology, Heidelberg University, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Henning Steen
- Departments of Cardiology, Angiology and Pneumology, Heidelberg University, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | | | - Norbert Frey
- Departments of Cardiology, Angiology and Pneumology, Heidelberg University, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Sebastian Kelle
- Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
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