Daisuke Kinoshita, Keishi Suzuki, Haruhito Yuki, Takayuki Niida, Daichi Fujimoto, Yoshiyasu Minami, Damini Dey, Hang Lee, Iris McNulty, Junya Ako, Maros Ferencik, Tsunekazu Kakuta, Jong Chul Ye, Ik-Kyung Jang
BACKGROUND: Positive remodeling is an integral part of the vascular adaptation process during the development of atherosclerosis, which can be detected by coronary computed tomography angiography (CTA). METHODS: A total of 426 patients who underwent both coronary CTA and optical coherence tomography (OCT) were included. Four machine learning (ML) models, gradient boosting machine (GBM), random forest (RF), deep learning (DL), and support vector machine (SVM), were employed to detect specific plaque features...
April 26, 2024: Journal of Cardiovascular Computed Tomography