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

Crossref DOI link: https://doi.org/10.1007/s00330-019-06139-2

Published Online: 2019-03-22

Published Print: 2019-07

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Yu, Mengmeng

Lu, Zhigang

Shen, Chengxing

Yan, Jing

Wang, Yining

Lu, Bin

Zhang, Jiayin https://orcid.org/0000-0001-7383-7571
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (81671678)

Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant Support (20161428)

Shanghai Key Discipline of Medical Imaging (2017ZZ02005)

The National Key Research and Development Program of China (2016YFC1300400)

The National Key Research and Development Program of China (2016YFC1300402)
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Text and Data Mining valid from 2019-03-22
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Article History

Received: 3 January 2019

Revised: 16 February 2019

Accepted: 7 March 2019

First Online: 22 March 2019

Compliance with ethical standards

:

: The scientific guarantor of this publication is Dr. Jiayin Zhang.

: 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.

: No complex statistical methods were necessary for this paper.

: Written informed consent was waived by hospital IRB.

: Institutional Review Board approval was obtained.

: • retrospective• comparative study• performed at one institution