Pericoronary adipose tissue radiomics enhances prediction of major adverse cardiovascular events beyond CCTA-derived functional parameters in coronary atherosclerosis

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The study evaluated the predictive value of combining pericoronary adipose tissue radiomics with CCTA-derived functional parameters for MACE in CAS patients.
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Among 171 CAS patients, CT-derived fractional flow reserve and coronary stenosis severity were identified as independent predictors of MACE.
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Models integrating CCTA-derived functional parameters with radiomics scores showed superior predictive performance compared to those using only functional parameters.
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The combined GPR model achieved the highest mean F1-score and demonstrated optimal predictive accuracy and clinical utility for MACE risk assessment.
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This study highlights the potential of radiomics in enhancing MACE prediction, providing a robust tool for early identification of cardiovascular risk.

Frontiers In Cardiovascular Medicine

by Zhenye Wang, Zhijing Wu, Milan Cao, Lili Zhao, Guojiang Zhang, Shan Wu, Xiong Zhang, Jiwei Ning, Yanhua Zhang, Junqin Wang, Lei Yin, Qiang Wang, Zhigao Xu
May 12, 2026

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