Monday, November 30 | 2:30 p.m.- 2:40 p.m. | M6-SSCA03-7 | Room E352
Cardiac MRI-based phenotyping helps clinicians better evaluate intermediate-risk patients with pulmonary arterial hypertension (PAH).
The findings could support "more granular risk assessment" at follow-up, presenter Daniel Taylor, MBChB, of the University of Sheffield in the UK, and colleagues suggested.
In this Monday afternoon session, Taylor will report results from a study his team conducted that sought to "derive and validate" a risk stratification model for PAH patients that could improve on the existing COMPERA 2.0 model. For the research, the group analyzed cardiac MRI images from 753 patients using both COMPERA 2.0 scoring and an AI whole-heart segmentation algorithm.
Taylor's group found that overall the AI model showed "improved fit," and concluded that "an MRI-augmented [AI] model refines COMPERA 2.0 risk stratification, demonstrating consistent stepwise separation of mortality risk and improved model fit versus COMPERA alone."
Attend this session to find out more about how cardiac MRI phenotyping "enables objective subdivision of intermediate-risk patients with PAH."
