{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["28(1)"],"submitter":["Pouliopoulos J"],"funding":["New South Wales Ministry of Health","St Vincent&apos;s Clinic Research Foundation"],"pubmed_abstract":["<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":["Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance"],"pagination":["102675"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12814852"],"repository":["biostudies-literature"],"pubmed_title":["Cardiovascular magnetic resonance feature tracking for rejection surveillance after cardiac transplantation."],"pmcid":["PMC12814852"],"pubmed_authors":["Anthony C","Muthiah K","Graham RM","Keogh AM","Prasad S","Moffat K","Kessler C","Puntmann V","Hayward CS","Macdonald PS","Holloway C","Imran M","Kotlyar E","Pouliopoulos J","Stehning C","Jabbour A","Qiu MR","McCrohon J"],"additional_accession":[]},"is_claimable":false,"name":"Cardiovascular magnetic resonance feature tracking for rejection surveillance after cardiac transplantation.","description":"<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 ","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Dec","modification":"2026-06-06T15:58:46.86Z","creation":"2026-06-02T03:10:48.382Z"},"accession":"S-EPMC12814852","cross_references":{"pubmed":["41453739"],"doi":["10.1016/j.jocmr.2025.102675"]}}