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Updated: Mar 11, 2026

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
Published on: February 12, 2011
Correlation across modalities and clinical phenotypes between left Ventricular global longitudinal strain by
Luca Pascalis1, Luca Fazzini2, Giordano Maria Pugliesi3
1Department of Medical Sciences and Public Health, Clinical Cardiology Unit, University of Cagliari, Cagliari, Italy.
Background:
Left Ventricular global longitudinal strain (LV-GLS) can be measured by speckle-tracking echocardiography (STE) and by cardiac magnetic resonance feature tracking (CMR-FT), but the strength of cross-modal correlation and its consistency across clinical phenotypes remain uncertain.
Methods:
We performed a systematic review and meta-analysis of studies reporting LV-GLS by both STE and CMR-FT in the same cohorts. Reported patient-level correlation coefficients (Pearson r) between modalities were pooled using Fisher's z-transformation and random-effects models, with prespecified subgroup analyses for healthy cohorts and cohorts with cardiovascular disease (CD).
Results:
Eleven studies met inclusion criteria; 18 cohorts (n = 624) reported patient-level correlations and were analyzed. Overall, STE GLS and CMR-FT GLS showed a moderate pooled correlation (sample-size-weighted r = 0.57; 95 % CI 0.32 to 0.74) with substantial heterogeneity (I2 = 91.6 %). In healthy cohorts (5 cohorts; n = 87) correlation was low and not statistically significant (r = 0.38; 95 % CI -0.37 to 0.83). In CD cohorts (13 cohorts; n = 537), correlation was higher and statistically significant (r = 0.62; 95 % CI 0.38 to 0.78).
Conclusions:
STE and CMR-FT GLS show a moderate cross-modal correlation overall, which is attenuated in health and stronger in CD. These findings quantify association rather than individual-level agreement and do not support numerical interchangeability between modalities.
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