Jennifer Cohen, Son Q Duong, Naveen Arivazhagan, David M Barris, Surkhay Bebiya, Rosalie Castaldo, Marjorie Gayanilo, Kali Hopkins, Maya Kailas, Grace Kong, Xiye Ma, Molly Marshall, Erin A Paul, Melanie Tan, Jen Lie Yau, Girish N Nadkarni, David Ezon
Assessment of pulmonary regurgitation (PR) guides treatment for patients with congenital heart disease. Quantitative assessment of PR fraction (PRF) by echocardiography is limited. Cardiac MRI (cMRI) is the reference-standard for PRF quantification. We created an algorithm to predict cMRI-quantified PRF from echocardiography using machine learning (ML). We retrospectively performed echocardiographic measurements paired to cMRI within 3 months in patients with ≥ mild PR from 2009 to 2022...
May 10, 2024: Pediatric Cardiology