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Title: Comparison of global myocardial strain assessed by cardiovascular magnetic resonance tagging and feature tracking to infarct size at predicting remodelling following STEMI.
Authors: Shetye, Abhishek M.
Nazir, Sheraz A.
Razvi, Naveed A.
Price, Nathan
Khan, Jamal N.
Lai, Florence Y.
Squire, Iain B.
McCann, Gerald P.
Arnold, Jayanth R.
First Published: 5-Jan-2017
Publisher: BioMed Central
Citation: BMC Cardiovascular Disorders, 2017, 17 (1)
Abstract: BACKGROUND: To determine if global strain parameters measured by cardiovascular magnetic resonance (CMR) acutely following ST-segment Elevation Myocardial Infarction (STEMI) predict adverse left ventricular (LV) remodelling independent of infarct size (IS). METHODS: Sixty-five patients with acute STEMI (mean age 60 ± 11 years) underwent CMR at 1-3 days post-reperfusion (baseline) and at 4 months. Global peak systolic circumferential strain (GCS), measured by tagging and Feature Tracking (FT), and global peak systolic longitudinal strain (GLS), measured by FT, were calculated at baseline, along with IS. On follow up scans, volumetric analysis was performed to determine the development of adverse remodelling - a composite score based on development of either end-diastolic volume index [EDVI] ≥20% or end-systolic volume index [ESVI] ≥15% at follow-up compared to baseline. RESULTS: The magnitude of GCS was higher when measured using FT (-21.1 ± 6.3%) than with tagging (-12.1 ± 4.3; p < 0.001 for difference). There was good correlation of strain with baseline LVEF (r 0.64-to 0.71) and IS (ρ -0.62 to-0.72). Baseline strain parameters were unable to predict development of adverse LV remodelling. Only baseline IS predicted adverse remodelling - Odds Ratio 1.05 (95% CI 1.01-1.10, p = 0.03), area under the ROC curve 0.70 (95% CI 0.52-0.87, p = 0.04). CONCLUSION: Baseline global strain by CMR does not predict the development of adverse LV remodelling following STEMI.
DOI Link: 10.1186/s12872-016-0461-6
eISSN: 1471-2261
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.
Description: All data generated or analysed during this study are included in this published article. Raw data for the study is stored and archived and is available upon request.
Appears in Collections:Published Articles, Dept. of Cardiovascular Sciences

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