Cardiovascular magnetic resonance imaging traits associated with adverse right ventricular remodeling in repaired tetralogy of Fallot: A Single Center Outcomes Using cardiovascular magnetic resonance in Tetralogy of Fallot study.

ABSTRACT:

Background

Deterioration of right ventricular (RV) function in repaired tetralogy of Fallot (rToF) is poorly understood. Cardiovascular magnetic resonance (CMR) is used for monitoring, but its analysis is user-dependent and time-consuming. We sought to automate the analysis of CMR using machine learning and to identify imaging traits associated with adverse RV remodeling in the natural history of rToF.

Methods

A longitudinal cohort of rToF patients underwent CMR at the Children's Hospital of Philadelphia. The nnU-Net method was used to train a machine learning model to segment the left ventricular (LV) blood pool, LV myocardium, and RV blood pool from two-dimensional short-axis CMR images. Conventional and novel measures were calculated and studied in association with remode

SUBMITTER: Thompson EW 

PROVIDER: S-EPMC11987615 | biostudies-literature | 2025 Summer

REPOSITORIES: biostudies-literature