The best predictor of ischemic coronary stenosis: subtended myocardial volume, machine learning–based FFRCT, or high-risk plaque features?-Reference-Cited by-同舟云学术

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

Published:2019-03-22 Issue:7 Volume:29 Page:3647-3657
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Yu Mengmeng,Lu Zhigang,Shen Chengxing,Yan Jing,Wang Yining,Lu Bin,Zhang Jiayin^ORCID

Funder

National Natural Science Foundation of China

Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant Support

Shanghai Key Discipline of Medical Imaging

The National Key Research and Development Program of China

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s00330-019-06139-2.pdf

Reference37 articles.

1. Miller JM, Rochitte CE, Dewey M et al (2008) Diagnostic performance of coronary angiography by 64-row CT. N Engl J Med 359(22):2324–2336

2. Westwood ME, Raatz HD, Misso K et al (2013) Systematic review of the accuracy of dual-source cardiac CT for detection of arterial stenosis in difficult to image patient groups. Radiology 267(2):387–395

3. Yang L, Zhou T, Zhang R et al (2014) Meta-analysis: diagnostic accuracy of coronary CT angiography with prospective ECG gating based on step-and-shoot, flash and volume modes for detection of coronary artery disease. Eur Radiol 24(10):2345–2352

4. Toth G, Hamilos M, Pyxaras S et al (2014) Evolving concepts of angiogram: fractional flow reserve discordances in 4000 coronary stenoses. Eur Heart J 35(40):2831–2838

5. Tonino PA, Fearon WF, De Bruyne B et al (2010) Angiographic versus functional severity of coronary artery stenoses in the FAME study fractional flow reserve versus angiography in multivessel evaluation. J Am Coll Cardiol 55(25):2816–2821

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