Distribution Of Coronary Plaque Quantified From CT Angiography By Deep-learning And Risk Of Myocardial Infarction

R. Miller,N. Manral,A. Lin,A., Shanbhag,C. Park, J. Kwiecinski,A. Killekar,P. McElhinney,H. Matsumoto, A. Razipour,K. Grodecki,A. Kwan,D. Han,K. Kuronuma, G. Flores Tomasino,E. Tzolos,M. Goeller,M. Marwan,H. Gransar,B. Tamarappoo

Journal of Cardiovascular Computed Tomography（2023）

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摘要

Introduction: Plaque quantification from coronary computed tomography angiography (CTA) has emerged as a valuable predictor of cardiovascular risk. Deep learning (DL) can provide automated quantitation of coronary plaque from coronary CTA, potentially enabling routine clinical use. Using a previously validated model, we determined age and sex-specific distributions of DL-based plaque measurements and evaluated their associations with fatal or non-fatal myocardial infarction.

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coronary plaque quantified,ct angiography,myocardial infarction,deep-learning deep-learning

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