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?
Patients undergoing coronary CT angiography (CCTA) for cardiac risk prediction
Artificial intelligence (AI)-powered imaging biomarker (FRP) using CCTA-based radiomic profiling of coronary artery perivascular adipose tissue (PVAT)
Current state-of-the-art cardiac risk prediction methods
Improvement of cardiac risk predictionsurrogate
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.
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Evangelos K. Oikonomou
Michelle C. Williams
Christos P. Kotanidis
European Heart Journal
University of Oxford
University College London
University of Edinburgh
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Oikonomou et al. (Wed,) studied this question.
www.synapsesocial.com/papers/69d56ee475589c71d767d76d — DOI: https://doi.org/10.1093/eurheartj/ehz592