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

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.

Source: Journal of Cardiovascular Computed Tomography - July 1, 2023 Category: Radiology Authors: 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, S. Cadet Source Type: research