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Incremental diagnostic value of radiomics signature of pericoronary adipose tissue for detecting functional myocardial ischemia: a multicenter study.

Ke ZhouJin ShangYan GuoShaowei MaBin LvNa ZhaoHui LiuJiayin ZhangLei XvYining WangTing LiuKunhua WangYuxue DangYue MaXujiao ChenNa ZhuZhizhen RanShanshan LiQuanmei MaHong HuXiaolong ZhuDongyu LiYang Hou
Published in: European radiology (2023)
• Based on the plaque characteristics and EAT characteristics, the conventional model showed poor performance in predicting myocardial ischemia. • The PCAT radiomics model showed good prospect in predicting myocardial ischemia. • When combining the radiomics signature with the conventional quantitative features (including plaque features and EAT features), it showed significantly better performance in predicting myocardial ischemia.
Keyphrases
  • left ventricular
  • adipose tissue
  • lymph node metastasis
  • coronary artery disease
  • contrast enhanced
  • heart failure
  • high resolution
  • squamous cell carcinoma
  • type diabetes
  • magnetic resonance imaging
  • metabolic syndrome