2 documents found, page 1 of 1
Risk factors based vessel-specific prediction for stages of coronary artery dis...
Park, Hyung Bok; Lee, Jina; Hong, Yongtaek; Byungchang, So; Kim, Wonse; Lee, Byoung K.; Lin, Fay Y.; Hadamitzky, Martin; Kim, Yong Jin; Conte, EdoardoBackground and Hypothesis: The recently introduced Bayesian quantile regression (BQR) machine-learning method enables comprehensive analyzing the relationship among complex clinical variables. We analyzed the relationship between multiple cardiovascular (CV) risk factors and different stages of coronary artery disease (CAD) using the BQR model in a vessel-specific manner. Methods: From the data of 1,463 patient...
Optical coherence tomography in coronary atherosclerosis assessment and interve...
Araki, Makoto; Park, Seung-Jung; Dauerman, Harold L.; Uemura, Shiro; Kim, Jung-Sun; Di Mario, Carlo; Johnson, Thomas W.; Guagliumi, GiulioSince optical coherence tomography (OCT) was first performed in humans two decades ago, this imaging modality has been widely adopted in research on coronary atherosclerosis and adopted clinically for the optimization of percutaneous coronary intervention. In the past 10 years, substantial advances have been made in the understanding of in vivo vascular biology using OCT. Identification by OCT of culprit plaque...