The best predictor of ischemic coronary stenosis: subtended myocardial volume, machine learning-based FFRCT, or high-risk plaque features?

Objectives: The present study aimed to compare the diagnostic performance of a machine learning (ML)-based FFRCT algorithm, quantified subtended myocardial volume, and high-risk plaque features for predicting if a coronary stenosis is hemodynamically significant, with reference to FFRICA.Methods: Pa...

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Publicado en:	European Radiology Vol. 29; no. 7; pp. 3647 - 3658
Autores principales:	Yu, Mengmeng, Lu, Zhigang, Shen, Chengxing, Yan, Jing, Wang, Yining, Lu, Bin, Zhang, Jiayin
Formato:	Journal Article
Publicado:	Springer Nature Jul2019
Acceso en línea:	Ver este registro en EBSCOhost