Literature DB >> 29102036

Coronary Computed Tomographic Angiography-Derived Fractional Flow Reserve for Therapeutic Decision Making.

Christian Tesche1, Rozemarijn Vliegenthart2, Taylor M Duguay3, Carlo N De Cecco3, Moritz H Albrecht4, Domenico De Santis5, Marcel C Langenbach4, Akos Varga-Szemes3, Brian E Jacobs3, David Jochheim6, Moritz Baquet6, Richard R Bayer7, Sheldon E Litwin7, Ellen Hoffmann8, Daniel H Steinberg9, U Joseph Schoepf10.   

Abstract

This study investigated the performance of coronary computed tomography angiography (cCTA) with cCTA-derived fractional flow reserve (CT-FFR) compared with invasive coronary angiography (ICA) with fractional flow reserve (FFR) for therapeutic decision making in patients with suspected coronary artery disease (CAD). Seventy-four patients (62 ± 11 years, 62% men) with at least 1 coronary stenosis of ≥50% on clinically indicated dual-source cCTA, who had subsequently undergone ICA with FFR measurement, were retrospectively evaluated. CT-FFR values were computed using an on-site machine-learning algorithm to assess the functional significance of CAD. The therapeutic strategy (optimal medical therapy alone vs revascularization) and the appropriate revascularization procedure (percutaneous coronary intervention vs coronary artery bypass grafting) were selected using cCTA-CT-FFR. Thirty-six patients (49%) had a functionally significant CAD based on ICA-FFR. cCTA-CT-FFR correctly identified a functionally significant CAD and the need of revascularization in 35 of 36 patients (97%). When revascularization was deemed indicated, the same revascularization procedure (32 percutaneous coronary interventions and 3 coronary artery bypass grafting) was chosen in 35 of 35 patients (100%). Overall, identical management strategies were selected in 73 of the 74 patients (99%). cCTA-CT-FFR shows excellent performance to identify patients with and without the need for revascularization and to select the appropriate revascularization strategy. cCTA-CT-FFR as a noninvasive "one-stop shop" has the potential to change diagnostic workflows and to directly inform therapeutic decision making in patients with suspected CAD.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 29102036     DOI: 10.1016/j.amjcard.2017.08.034

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  7 in total

1.  Computed tomography angiography-derived fractional flow reserve (CT-FFR) for the detection of myocardial ischemia with invasive fractional flow reserve as reference: systematic review and meta-analysis.

Authors:  Baiyan Zhuang; Shuli Wang; Shihua Zhao; Minjie Lu
Journal:  Eur Radiol       Date:  2019-11-06       Impact factor: 5.315

2.  Impact of machine-learning-based coronary computed tomography angiography-derived fractional flow reserve on decision-making in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement.

Authors:  Verena Brandt; U Joseph Schoepf; Gilberto J Aquino; Raffi Bekeredjian; Akos Varga-Szemes; Tilman Emrich; Richard R Bayer; Florian Schwarz; Thomas J Kroencke; Christian Tesche; Josua A Decker
Journal:  Eur Radiol       Date:  2022-04-01       Impact factor: 7.034

Review 3.  Artificial intelligence in cardiovascular imaging: state of the art and implications for the imaging cardiologist.

Authors:  K R Siegersma; T Leiner; D P Chew; Y Appelman; L Hofstra; J W Verjans
Journal:  Neth Heart J       Date:  2019-09       Impact factor: 2.380

Review 4.  Machine Learning for Assessment of Coronary Artery Disease in Cardiac CT: A Survey.

Authors:  Nils Hampe; Jelmer M Wolterink; Sanne G M van Velzen; Tim Leiner; Ivana Išgum
Journal:  Front Cardiovasc Med       Date:  2019-11-26

Review 5.  Imaging myocardial ischemia: from emerging techniques to state-of-the-art.

Authors:  Akos Varga-Szemes; Pal Suranyi
Journal:  Eur Radiol Exp       Date:  2021-03-25

6.  Diagnostic efficacy of CCTA and CT-FFR based on risk factors for myocardial ischemia.

Authors:  Gao Yongguang; Shi Yibing; Xia Ping; Zhang Jinyao; Fu Yufei; Huang Yayong; Xu Yuanshun; Li Gutao
Journal:  J Cardiothorac Surg       Date:  2022-03-19       Impact factor: 1.637

7.  Diagnostic performance of coronary computed tomography angiography-derived fractional flow reverse in lesion-specific ischemia patients with different Gensini score levels.

Authors:  Mengya Dong; Chen Li; Guang Yang; Qiling Gou; Qinghua Zhao; Yuqi Liu; Xiling Shou
Journal:  Ann Transl Med       Date:  2022-04
  7 in total

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