A head-to-head comparison of myocardial strain by fast-strain encoding and feature tracking imaging in acute myocardial infarction

El-Saadi, Walid; Engvall, Jan; Alfredsson, Joakim; Karlsson, Jan‐Erik; Martins, Marcelo Ramos; Sederholm, Sofia; Zaman, Shaikh Faisal; Ebbers, Tino; Kihlberg, Johan

doi:10.3389/fcvm.2022.949440

Cited by 3 publications

References 27 publications

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Systematic review and meta-analysis for the value of cardiac magnetic resonance strain to predict cardiac outcomes

Korosoglou,

Sagris,

André

et al. 2024

Sci Rep

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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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Systematic review and meta-analysis for the value of cardiac magnetic resonance strain to predict cardiac outcomes

Korosoglou,

Sagris,

André

et al. 2024

Sci Rep

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Cardiac Magnetic Resonance Strain for the Prediction of Cardiac Outcomes. Systematic Review and Meta-analysis Based on Individual Patient Data.

Korosoglou,

Sagris,

André

et al. 2023

Preprint

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BACKGROUND.Cardiac magnetic resonance (CMR) is the gold standard for the diagnostic classification and risk stratification in most patients with cardiac disorders. PURPOSE/HYPOTHESIS.To investigate the ability of Strain-encoded MR (SENC) for the prediction of major adverse cardiovascular events (MACE). STUDY TYPE Systematic review and meta-analysis according to the PRISMA Guidelines. POPULATION.Patients with or without cardiovascular disease and asymptomatic individuals. FIELD STRENGTH/SEQUENCE Myocardial strain by HARP in 1.5T scanners. ASSESSMENT.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. STATISTICAL TESTS. 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. RESULTS Strain enabled risk stratification in asymptomatic individuals, predicting MACE and the development of incident heart failure. Of 1,332 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 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 markers. DATA CONCLUSION. 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 is a precursor of incident heart failure.

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Cardiac Magnetic Resonance Imaging in Appraising Myocardial Strain and Biomechanics: A Current Overview

et al. 2023

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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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A head-to-head comparison of myocardial strain by fast-strain encoding and feature tracking imaging in acute myocardial infarction

Cited by 3 publications

References 27 publications

Systematic review and meta-analysis for the value of cardiac magnetic resonance strain to predict cardiac outcomes

Systematic review and meta-analysis for the value of cardiac magnetic resonance strain to predict cardiac outcomes

Cardiac Magnetic Resonance Strain for the Prediction of Cardiac Outcomes. Systematic Review and Meta-analysis Based on Individual Patient Data.

Cardiac Magnetic Resonance Imaging in Appraising Myocardial Strain and Biomechanics: A Current Overview

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