Diagnostic performance of corrected FFRCT metrics to predict hemodynamically significant coronary artery stenosis-Reference-Cited by-同舟云学术

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Diagnostic performance of corrected FFRCT metrics to predict hemodynamically significant coronary artery stenosis

Published:2021-06-02 Issue:12 Volume:31 Page:9232-9239
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Wen Didi,Zhao Hongliang,Zhong Sihua,Li Chenwei,Liu Bing,An Rui,Zheng Minwen^ORCID

Funder

National Natural Science Foundation of China

Key Research and Development Plan of Shaanxi Province

National Science Foundation of Shaanxi Province

Discipline Promotion Projects of Xijing Hospital

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-021-08064-9.pdf

Reference22 articles.

1. Toth GG, Johnson NP, Jeremias A et al (2016) Standardization of fractional flow reserve measurements. J Am Coll Cardiol 68:742–753

2. Mizukami T, Tanaka K, Sonck J et al (2020) Evaluation of epicardial coronary resistance using computed tomography angiography: a proof concept. J Cardiovasc Comput Tomogr 14:177–184

3. Yang HM, Lim HS, Yoon MH et al (2020) Usefulness of the trans-stent fractional flow reserve gradient for predicting clinical outcomes. Catheter Cardiovasc Interv 95:E123–e129

4. Takashima H, Waseda K, Gosho M et al (2015) Severity of morphological lesion complexity affects fractional flow reserve in intermediate coronary stenosis. J Cardiol 66:239–245

5. Fairbairn TA (2017) Fractional Flow ReserveCT (FFRCT). Eur Heart J 38:1867–1869

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1. 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

2. Sex Differences in Murray Law‐Based Quantitative Flow Ratio Among Patients With Intermediate Coronary Lesions;Journal of the American Heart Association;2023-07-04

3. ECG‐based cardiodynamicsgram can reflect anomalous functional information in coronary artery disease;Clinical Cardiology;2023-04-06

4. Influence of diabetes mellitus on the diagnostic performance of machine learning–based coronary CT angiography–derived fractional flow reserve: a multicenter study;European Radiology;2022-01-12

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