Xue, Yi
Zheng, Min Wen
Hou, Yang
Zhou, Fan
Li, Jian Hua
Wang, Yi Ning
Liu, Chun Yu
Zhou, Chang Sheng
Zhang, Jia Yin
Yu, Meng Meng
Zhang, Bo
Zhang, Dai Min
Yi, Yan
Xu, Lei
Hu, Xiu Hua
Lu, Guang Ming
Tang, Chun Xiang
Zhang, Long Jiang http://orcid.org/0000-0002-6664-7224
Funding for this research was provided by:
national key research and development program of china (2017YFC0113400)
general project of chinese postdoctoral science foundation (2020M673677)
Article History
Received: 29 July 2021
Revised: 23 October 2021
Accepted: 14 November 2021
First Online: 12 January 2022
Declarations
:
: The scientific guarantor of this publication is Long Jiang Zhang, who is from the Department of Diagnostic Radiology, Jinling Hospital, Southern Medical University, is deemed to take overall responsibility for all aspects of the study (ethics, consent, data handling and storage, and all other aspects of Good Research Practice).
: The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
: Meng Jie Lu kindly provided statistical advice for this manuscript.One of the authors has significant statistical expertise.No complex statistical methods were necessary for this paper.
: Written informed consent was waived by the Institutional Review Board.
: Institutional Review Board approval was obtained.
: Some study subjects or cohorts have been previously reported inXu PP, Li JH, Zhou F et al (2020) The influence of image quality on diagnostic performance of a machine learning-based fractional flow reserve derived from coronary CT angiography. <i>Eur Radiol</i> 30:2525-2534Di Jiang M, Zhang XL, Liu H et al (2020) The effect of coronary calcification on diagnostic performance of machine learning-based CT-FFR: a Chinese multicenter study. <i>Eur Radiol</i> 31:1482-1493Zhou F, Wang YN, Schoepf UJ, et al (2019) Diagnostic performance of machine learning based CT-FFR in detecting ischemia in myocardial bridging and concomitant proximal atherosclerotic disease. <i>Can J Cardiol</i> 35:1523-1533Tang CX, Liu CY, Lu MJ, et al (2020) CT FFR for ischemia-specific CAD with a new computational fluid dynamics algorithm: a Chinese multicenter study. <i>JACC Cardiovasc Imaging</i> 13:980-990Tang CX, Wang YN, Zhou F, et al (2019) Diagnostic performance of fractional flow reserve derived from coronary CT angiography for detection of lesion-specific ischemia: a multi-center study and meta-analysis. <i>Eur J Radiol</i> 116:90-97
: • retrospective• diagnostic study• multicenter study