Review ArticlesCoronary Computed Tomography Angiography–derived Fractional Flow Reserve An Expert Consensus Document of Chinese Society of RadiologyZhang, Long Jiang MD, PhD*; Tang, Chunxiang MD, PhD*; Xu, Pengpeng MSc*; Guo, Bangjun MSc*; Zhou, Fan MSc*; Xue, Yi MSc*; Zhang, Jiayin MD, PhD†; Zheng, Minwen MD, PhD‡; Xu, Lei MD, PhD§; Hou, Yang MD, PhD∥; Lu, Bin MD, PhD¶; Guo, Youmin MD#; Cheng, Jingliang MD**; Liang, Changhong MD††; Song, Bin MD‡‡; Zhang, Huimao MD§§; Hong, Nan MD∥∥; Wang, Peijun MD¶¶; Chen, Min MD##; Xu, Ke MD***; Liu, Shiyuan MD, PhD†††; Jin, Zhengyu MD‡‡‡; Lu, Guangming MD*; on behalf of Chinese Society of Radiology Author Information *Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province †Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine ¶¶Department of Radiology, Tongji Hospital of Tongji University School of Medicine ‡‡‡Department of Medical Imaging and Nuclear Medicine, Changzheng Hospital of Naval Medical University, Shanghai ‡Department of Radiology, Xijing Hospital, The Fourth Military Medical University—Xi’an #Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi §Department of Radiology, Beijing Anzhen Hospital, Capital Medical University ∥∥Department of Radiology, Peking University People’s Hospital ##Department of Radiology, Beijing Hospital, National Center of Gerontology †††Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences ¶Department of Radiology, State Key Laboratory and National Center for Cardiovascular Diseases, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing ∥Department of Radiology, Shengjing Hospital of China Medical University ***Department of Interventional Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province **Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province ††Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong Province ‡‡Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan Province §§Department of Radiology, The First Hospital of Jilin University, Changchun, Jilin Province, China L. J. Z., C. Tang, P. X. and B. G. contributed equally. S.L. and Z.J. are co-corresponding authors. Supported by the Key Research and Development Program (Social Development) of Jiangsu Province (BE2020699 for L.J.Z.) and the National Natural Science Foundation of China (8217933 for C.X.T.). The authors declare no conflict of interest. Correspondence to: Guangming Lu, MD, Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, Jiangsu Province, China (e-mail: [email protected]). Supplemental Digital Content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal's website, www.thoracicimaging.com. Journal of Thoracic Imaging: November 2022 - Volume 37 - Issue 6 - p 385-400 doi: 10.1097/RTI.0000000000000679 Buy SDC Metrics Abstract Invasive fractional flow reserve (FFR) measured by a pressure wire is a reference standard for evaluating functional stenosis in coronary artery disease. Coronary computed tomography angiography–derived fractional flow reserve (CT-FFR) uses advanced computational analysis methods to noninvasively obtain FFR results from a single conventional coronary computed tomography angiography data to evaluate the hemodynamic significance of coronary artery disease. More and more evidence has found good correlation between the results of noninvasive CT-FFR and invasive FFR. CT-FFR has proven its potential in optimizing patient management, improving risk stratification and prognosis, and reducing total health care costs. However, there is still a lack of standardized interpretation of CT-FFR technology in real-world clinical settings. This expert consensus introduces the principle, workflow, and interpretation of CT-FFR; summarizes the state-of-the-art application of CT-FFR; and provides suggestions and recommendations for the application of CT-FFR with the aim of promoting the standardized application of CT-FFR in clinical practice. Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.