Multiparametric quantitative structural and functional cardiac MRI in orthotopic heart transplant recipients with cardiac allograft vasculopathy

The aim of this study was to verify if multiparametric quantitative CMR can detect mild-to-moderate cardiac allograft vasculopathy (CAV) in patients post-orthotopic heart transplant (OHT). 51 patients (age = 50.0 +/- 13.6 years, 29% female) post-OHT 0-6 years (mean 3.2 +/- 1.5 years) who underwent CMR from 2011 to 2019 were retrospectively included. Multiparametric CMR included CINE imaging covering the left ventricle (LV), pre- and post-contrast T1 mapping, and T2 mapping, extracellular volume fraction (ECV) calculation, and 2D-feature tracking strain. CAV0 ('CAV negative') patient variables were compared with CAV1-CAV2 ('CAV positive') variables. Logistic regression was used to determine predictors of CAV status. Myocardial T2 was higher in CAV positive compared with CAV negative patients (54.5 +/- 7.7 ms vs. 50.2 +/- 3.3 ms, p < 0.05), as was ECV (31.3 +/- 5.3% vs. 27.4 +/- 4.1%, p < 0.05). Radial and circumferential peak systolic strain rates were attenuated in CAV positive vs. CAV negative patients (radial: 1.4 +/- 0.4 s-1 vs. 1.8 +/- 0.3 s-1, circumferential: -0.9 +/- 0.2 s-1 vs. -1.1 +/- 0.1 s-1, p < 0.05),as well as circumferential and longitudinal peak diastolic strain rates (0.7 +/- 0.7 s-1 vs. 1.0 +/- 0.5 s-1, and 0.8 +/- 0.3 s-1 vs. 0.9 +/- 0.3 s-1, p < 0.05, respectively). CAV positive vs. negative status correlated with ECV (rho 0.41, P < 0.01), T2 (rho 0.29, p < 0.05), radial and circumferential peak systolic strain rate (rho - 0.48, P < 0.01 and rho 0.47, p < 0.001, respectively), and circumferential and longitudinal peak diastolic strain rates (rho - 0.34, p < 0.05 and rho - 0.35, p < 0.01, respectively). Logistic regression revealed that a model including ECV, peak radial and circumferential systolic strain rates and longitudinal diastolic strain rate was significant for distinguishing CAV positive vs. negative status with a receiver operator characteristic area under curve of 0.85 +/- 0.06 (CI 0.73-0.97), p < 0.005. A model combining functional (strain) and tissue parameters (ECV) was predictive of CAV status, indicating the potential of multiparametric CMR for non-invasive prediction of CAV status in OHT recipients.