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Updated: Jan 3, 2026

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
Published on: February 12, 2011
Feature-Tracking Global Longitudinal Strain Predicts Mortality in Patients With Preserved Ejection Fraction: A
Simone Romano1, Robert M Judd2, Raymond J Kim2
1Department of Medicine, University of Verona, Verona, Italy.
Global longitudinal strain (GLS) from cardiac magnetic resonance (CMR) feature-tracking predicts death in patients with preserved ejection fraction. This strain measurement offers valuable prognostic information beyond traditional risk factors.
Area of Science:
- Cardiology
- Medical Imaging
- Cardiac Mechanics
Background:
- Ejection fraction is a primary clinical metric for cardiac function and prognosis.
- Subtle myocardial deformation abnormalities can exist despite preserved ejection fraction.
- Cardiac magnetic resonance (CMR) feature-tracking allows strain assessment from routine cine images.
Purpose of the Study:
- To evaluate the prognostic significance of global longitudinal strain (GLS) using CMR feature-tracking.
- To assess GLS in a large, multicenter cohort of patients with preserved ejection fraction.
Main Methods:
- Retrospective analysis of 1,274 patients with preserved ejection fraction (≥50%) undergoing CMR.
- Global longitudinal strain (GLS) calculated from 3 long-axis cine views using feature-tracking.
- Cox regression modeling used to determine the association between GLS and all-cause mortality.
Main Results:
- 115 deaths occurred during a median follow-up of 6.2 years.
- Lower GLS (< median -20%) was associated with significantly reduced event-free survival.
- Each 1% worsening in GLS increased mortality risk by 22.8% (HR: 1.228, p < 0.001), independent of other factors.
Conclusions:
- Global longitudinal strain (GLS) derived from CMR feature-tracking is a potent, independent predictor of mortality.
- GLS provides prognostic information incremental to established clinical and imaging risk factors in patients with preserved ejection fraction.
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