Influence of diabetes mellitus on the diagnostic performance of machine learning-based coronary CT angiography-derived fractional flow reserve: a multicenter study

Autor:	Yi, Xue, Min Wen, Zheng, Yang, Hou, Fan, Zhou, Jian Hua, Li, Yi Ning, Wang, Chun Yu, Liu, Chang Sheng, Zhou, Jia Yin, Zhang, Meng Meng, Yu, Bo, Zhang, Dai Min, Zhang, Yan, Yi, Lei, Xu, Xiu Hua, Hu, Guang Ming, Lu, Chun Xiang, Tang, Long Jiang, Zhang
Rok vydání:	2021
Předmět:	Fractional Flow Reserve Myocardial Machine Learning Computed Tomography Angiography Predictive Value of Tests Coronary Stenosis Diabetes Mellitus Humans Calcium Coronary Artery Disease Coronary Angiography Tomography X-Ray Computed Coronary Vessels Retrospective Studies
Zdroj:	European radiology. 32(6)
ISSN:	1432-1084
Popis:	To examine the diagnostic accuracy of machine learning-based coronary CT angiography-derived fractional flow reserve (FFRIn total, 484 patients with suspected or known coronary artery disease from 11 Chinese medical centers were retrospectively analyzed. All patients underwent CCTA, FFRSensitivity, specificity, accuracy, and AUC of FFRDM has no negative impact on the diagnostic accuracy of machine learning-based FFR• ML-based FFR
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=pmid________::3ba7539d18b3780b8158fdd2c3b85b9d https://pubmed.ncbi.nlm.nih.gov/35020012 Zobrazit plný text záznamu Full text from SpringerLink