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Article

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

International journal of cardiology - 15 Jun 2021

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

Abstract excerpt

BACKGROUND: Pericoronary adipose tissue attenuation expressed by fat attenuation index (FAI) on coronary CT angiography (CCTA) reflects pericoronary inflammation and is associated with cardiac mortality. OBJECTIVE: The aim of this study was to define the sub-phenotypes of coronary CCTA-defined plaque and whole vessel quantification by unsupervised machine learning (ML) and its prognostic impact when combined with...

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Identifiers

PMID: 33741428
DOI: 10.1016/j.ijcard.2021.03.019

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