Does a novel AI-powered imaging biomarker (FRP) based on CCTA radiomic profiling of perivascular fat improve cardiac risk prediction compared to current state-of-the-art methods?
A novel AI-derived radiotranscriptomic signature of perivascular fat on CCTA improves cardiac risk prediction beyond current standard methods.
The CCTA-based radiomic profiling of coronary artery PVAT detects perivascular structural remodelling associated with coronary artery disease, beyond inflammation. A new artificial intelligence (AI)-powered imaging biomarker (FRP) leads to a striking improvement of cardiac risk prediction over and above the current state-of-the-art.
Oikonomou et al. (Wed,) studied this question.
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