The influence of image quality on diagnostic performance of a machine learning–based fractional flow reserve derived from coronary CT angiography-Reference-Cited by-同舟云学术

The influence of image quality on diagnostic performance of a machine learning–based fractional flow reserve derived from coronary CT angiography

Published:2020-01-31 Issue:5 Volume:30 Page:2525-2534
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Xu Peng Peng,Li Jian Hua,Zhou Fan,Jiang Meng Di,Zhou Chang Sheng,Lu Meng Jie,Tang Chun Xiang,Zhang Xiao Lei,Yang Liu,Zhang Yuan Xiu,Wang Yi Ning,Zhang Jia Yin,Yu Meng Meng,Hou Yang,Zheng Min Wen,Zhang Bo,Zhang Dai Min,Yi Yan,Xu Lei,Hu Xiu Hua,Liu Hui,Lu Guang Ming,Ni Qian Qian,Zhang Long Jiang^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s00330-019-06571-4.pdf

Reference37 articles.

1. Curzen N, Rana O, Nicholas Z et al (2014) Does routine pressure wire assessment influence management strategy at coronary angiography for diagnosis of chest pain?: the RIPCORD study. Circ Cardiovasc Interv 7:248–255

2. Patel MR, Calhoon JH, Dehmer GJ et al (2017) ACC/AATS/AHA/ASE/ASNC/SCAI/SCCT/STS 2017 Appropriate use criteria for coronary revascularization in patients with stable ischemic heart disease: a report of the American College of Cardiology Appropriate Use Criteria Task Force, American Association for Thoracic Surgery, American Heart Association, American Society of Echocardiography, American Society of Nuclear Cardiology, Society for Cardiovascular Angiography and Interventions, Society of Cardiovascular Computed Tomography, and Society of Thoracic Surgeons. J Nucl Cardiol 24:1759–1792

3. Windecker S, Kolh P, Alfonso F et al (2014) 2014 ESC/EACTS Guidelines on myocardial revascularization: the task force on myocardial revascularization of the European Society of Cardiology (ESC) and the European Association for Cardio-Thoracic Surgery (EACTS) Developed with the special contribution of the European Association of Percutaneous Cardiovascular Interventions (EAPCI). Eur Heart J 35:2541–2619

4. Tesche C, De Cecco CN, Albrecht MH et al (2017) Coronary CT angiography-derived fractional flow reserve. Radiology 285:17–33

5. Nous FMA, Coenen A, Boersma E et al (2019) Comparison of the diagnostic performance of coronary computed tomography angiography-derived fractional flow reserve in patients with versus without diabetes mellitus (from the machine consortium). Am J Cardiol 123:537–543

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CT Coronary Fractional Flow Reserve Based on Artificial Intelligence using Different Software: A Repeatability Study;2024-09-03

2. Novel motion correction algorithm improves diagnostic performance of CT fractional flow reserve;European Journal of Radiology;2024-07

3. Agreement of Fractional Flow Reserve Estimated by Computed Tomography With Invasively Measured Fractional Flow Reserve: A Systematic Review and Meta‐Analysis;Journal of the American Heart Association;2024-05-21

4. NoiseNet, a fully automatic noise assessment tool that can identify non-diagnostic CCTA examinations;The International Journal of Cardiovascular Imaging;2024-05-15

5. Patient-Specific Numerical Simulations of Coronary Artery Hemodynamics and Biomechanics: A Pathway to Clinical Use;Cardiovascular Engineering and Technology;2024-05-06