Litcius/Paper detail

Prognostic value of pericoronary inflammation and unsupervised machine-learning-defined phenotypic clustering of CT angiographic findings

Masahiro Hoshino, Jinlong Zhang, Tomoyo Sugiyama, Seokhun Yang, Yoshihisa Kanaji, Rikuta Hamaya, Masao Yamaguchi, Masahiro Hada, Toru Misawa, Eisuke Usui, Tadashi Murai, Taishi Yonetsu, Joo Myung Lee, Bon‐Kwon Koo, Tetsuo Sasano, Tsunekazu Kakuta

2021International Journal of Cardiology30 citationsDOI

Topics & Concepts

MaceMedicineInternal medicineCardiologyFractional flow reserveProportional hazards modelRadiologyCoronary angiographyMyocardial infarctionConventional PCICardiovascular Disease and AdiposityAdipokines, Inflammation, and Metabolic DiseasesCerebrovascular and Carotid Artery Diseases
Prognostic value of pericoronary inflammation and unsupervised machine-learning-defined phenotypic clustering of CT angiographic findings | Litcius