Award

NIH Reporter #11431415

Non-invasive detection of coronary inflammation using computed tomography in the Multi-Ethnic Study of Atherosclerosis

Recipient

National Heart Lung and Blood Institute (NHLBI), NIH

Awarded

August 06, 2026

Identifier

11431415

Award for a project to develop non-invasive CT-based methods to detect coronary inflammation, improving ASCVD risk stratification using MESA datasets, funded by NHLBI, NIH.

Description

The project involves analysis of CT scans for epicardial fat density and peri-coronary fat attenuation to improve risk stratification for atherosclerotic cardiovascular disease (ASCVD). It leverages existing datasets from the Multi-Ethnic Study of Atherosclerosis (MESA) and emphasizes automation and scalability for detection on millions of scans. The project aims to provide mechanistic insights and targets related to inflammation and cardiovascular disease events.

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