biostudies-literatureUnknown28(1)Pouliopoulos JNew South Wales Ministry of HealthSt Vincent&apos;s Clinic Research Foundation<h4>Background</h4>Endomyocardial biopsy (EMB) is the standard invasive method for monitoring acute cardiac allograft rejection (ACAR); however, non-invasive alternatives are increasingly proving to be dependable.<h4>Objectives</h4>We aimed to identify and validate dependable cardiovascular magnetic resonance (CMR) strain indices for ACAR detection.<h4>Methods</h4>We analyzed 160 CMR scans, including long- and short-axis cines, as well as T1/T2 maps from 54 transplant recipients. Uniparametric and multiparametric models integrating left ventricular strain metrics and tissue characteristics were developed to classify histological rejection grades (0, 1 R, ≥2 R) and evaluate therapeutic response.<h4>Results</h4>Regression analysis using generalized linear mixed-models identified significant Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance102675https://www.ebi.ac.uk/biostudies/studies/S-EPMC12814852biostudies-literatureCardiovascular magnetic resonance feature tracking for rejection surveillance after cardiac transplantation.PMC12814852Anthony CMuthiah KGraham RMKeogh AMPrasad SMoffat KKessler CPuntmann VHayward CSMacdonald PSHolloway CImran MKotlyar EPouliopoulos JStehning CJabbour AQiu MRMcCrohon JfalseCardiovascular magnetic resonance feature tracking for rejection surveillance after cardiac transplantation.<h4>Background</h4>Endomyocardial biopsy (EMB) is the standard invasive method for monitoring acute cardiac allograft rejection (ACAR); however, non-invasive alternatives are increasingly proving to be dependable.<h4>Objectives</h4>We aimed to identify and validate dependable cardiovascular magnetic resonance (CMR) strain indices for ACAR detection.<h4>Methods</h4>We analyzed 160 CMR scans, including long- and short-axis cines, as well as T1/T2 maps from 54 transplant recipients. Uniparametric and multiparametric models integrating left ventricular strain metrics and tissue characteristics were developed to classify histological rejection grades (0, 1 R, ≥2 R) and evaluate therapeutic response.<h4>Results</h4>Regression analysis using generalized linear mixed-models identified significant 2025-01-01T00:00:00Z2025 Dec2026-06-06T15:58:46.86Z2026-06-02T03:10:48.382ZS-EPMC128148524145373910.1016/j.jocmr.2025.102675