Machine learning cardiac-MRI features predict mortality in newly diagnosed pulmonary arterial hypertension.
Samer AlabedJohanna UthoffShuo ZhouPankaj GargKrit DwivediFaisal AlandejaniRebecca C GoslingLawrence SchobsMartin BrookYousef ShahinDave CapenerChristopher S JohnsJames M WildAlexander M K RothmanRob J van der GeestRobin CondliffeDavid G KielyHaiping LuAndrew J SwiftPublished in: European heart journal. Digital health (2022)
The MPCA-based machine learning is an explainable time-resolved approach that allows visualization of prognostic cardiac features throughout the cardiac cycle at the population level, making this approach transparent and clinically interpretable. In addition, the added prognostic value over the REVEAL risk score and CMR volumetric measurements allows for a more accurate prediction of 1-year mortality risk in PAH.