MRI-derived Right Ventricular Global Longitudinal Strain Predicts Heart Failure
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Authors
Chadalavada S.
Mahmood A.
Salatzki J.
Hesse K.
Fung K.
Khanji M.Y.
RaisiEstabragh Z.
Aung N.
Petersen,S. E.
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2025
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Article
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Abstract
Purpose: To evaluate the association of right ventricular (RV) strain metrics derived from feature-tracking cardiac MRI with incident heart failure (HF). Material(s) and Method(s): This retrospective analysis included data of 45 700 participants (23 764 female) from the UK Biobank Imaging Study between August 2006 and July 2010. Cardiac MRI scans were performed using standardized UK Biobank protocols and equipment. Image analysis was performed with feature-tracking module of a certified postprocessing software (cvi42 prototype version 5.13.7). Biologically implausible and statistical outliers were excluded. The association of each RV global strain marker (global longitudinal strain GLS], global circumferential strain GCS], and global radial strain GRS]) with incident HF was assessed using univariable and multivariable Cox regression models adjusted for established clinical features and RV imaging markers with known prognostic values. Result(s): The mean age +/- SD of the 45 700 study participants (23 764 female) was 65 years +/- 7.7, and median follow-up was 3 years. Lower absolute RV GLS, RV GCS, and RV GRS were associated with increased HF risk (hazard ratio HR]: 1.34, 1.37, and 0.71, respectively; P < .001 for all). According to multivariable analyses adjusted for conventional RV imaging markers and clinical covariates, only RV GLS independently predicted HF (HR: 1.16; 95% CI: 1.02, 1.33; P = .04). Conclusion(s): In the general population, RV GLS, RV GCS, and RV GRS are independently predictive of HF after accounting for clinical features. RV GLS demonstrated independent predictive value against conventionally used RV imaging markers and clinical features. Copyright © RSNA, 2025.
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Radiology: Cardiothoracic Imaging
Volume
7
Issue
6