SynthesisScientific reports2024
Systematic review and meta-analysis for the value of cardiac magnetic resonance strain to predict cardiac outcomes.
Synthesis in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Layer-specific fast strain-encoded cardiovascular magnetic resonance in suspected acute coronary syndrome: a prospective study.Clinical research in cardiology : official journal of the German Cardiac Society · 2026Article
- Strain Analysis from Transverse CMR Cine Imaging in Congenital Heart Disease: Feasibility, Reproducibility, and Comparison to Global Longitudinal Strain.Healthcare (Basel, Switzerland) · 2026Article
- Can multiparametric FDG-PET/MRI analysis really enhance the prediction of myocardial recovery after CTO revascularization? A machine learning study.Zeitschrift fur medizinische Physik · 2026Article
- Clinical Usefulness of Left Ventricular Global Longitudinal Strain as a Predictor of Prognosis in Patients With Acute Ischemic Stroke (GLS-STROKE Study).Journal of the American Heart Association · 2025Article
- Multi-phase deep learning model for automated disease classification from cardiac cine MRI.Journal of the Royal Society, Interface · 2025Article
- Cardiac magnetic resonance imaging in the assessment of cardiac injury and toxicity from cancer-related chemotherapy.Pediatric radiology · 2025Review
- Value of high-density lipoprotein cholesterol, myocardial perfusion index, and global longitudinal strain derived from cardiac magnetic resonance imaging in predicting coronary slow flow in patients with nonobstructive coronary artery disease.Quantitative imaging in medicine and surgery · 2025Article
- Using machine learning models based on cardiac magnetic resonance parameters to predict the prognostic in children with myocarditis.BMC pediatrics · 2025Article
- Myocarditis with preserved left ventricular ejection fraction in-hospital convalescent phase: insights from CMR and myocardial strain analysis.Frontiers in cardiovascular medicine · 2025Article
- Challenges in clinical translation of cardiac magnetic resonance imaging radiomics in non-ischemic cardiomyopathy: a narrative review.Cardiovascular diagnosis and therapy · 2024Review
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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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