Literature DB >> 30586699

Accuracy of Fractional Flow Reserve Derived From Coronary Angiography.

William F Fearon1, Stephan Achenbach2, Thomas Engstrom3, Abid Assali4, Richard Shlofmitz5, Allen Jeremias5, Stephane Fournier6, Ajay J Kirtane7,8, Ran Kornowski4, Gabriel Greenberg9, Rami Jubeh10, Daniel M Kolansky11, Thomas McAndrew8, Ovidiu Dressler8, Akiko Maehara7,8, Mitsuaki Matsumura8, Martin B Leon7,8, Bernard De Bruyne6.   

Abstract

BACKGROUND: Measuring fractional flow reserve (FFR) with a pressure wire remains underutilized because of the invasiveness of guide wire placement or the need for a hyperemic stimulus. FFR derived from routine coronary angiography (FFRangio) eliminates both of these requirements and displays FFR values of the entire coronary tree. The FFRangio Accuracy versus Standard FFR (FAST-FFR) study is a prospective, multicenter, international trial with the primary goal of determining the accuracy of FFRangio.
METHODS: Coronary angiography was performed in a routine fashion in patients with suspected coronary artery disease. FFR was measured in vessels with coronary lesions of varying severity using a coronary pressure wire and hyperemic stimulus. Based on angiograms of the respective arteries acquired in ≥2 different projections, on-site operators blinded to FFR then calculated FFRangio using proprietary software. Coprimary end points were the sensitivity and specificity of the dichotomously scored FFRangio for predicting pressure wire-derived FFR using a cutoff value of 0.80. The study was powered to meet prespecified performance goals for sensitivity and specificity.
RESULTS: Ten centers in the United States, Europe, and Israel enrolled a total of 301 subjects and 319 vessels meeting inclusion/exclusion criteria which were included in the final analysis. The mean FFR was 0.81 and 43% of vessels had an FFR≤0.80. The per-vessel sensitivity and specificity were 94% (95% CI, 88% to 97%) and 91% (86% to 95%), respectively, both of which exceeded the prespecified performance goals. The diagnostic accuracy of FFRangio was 92% overall and remained high when only considering FFR values between 0.75 to 0.85 (87%). FFRangio values correlated well with FFR measurements ( r=0.80, P<0.001) and the Bland-Altman 95% confidence limits were between -0.14 and 0.12. The device success rate for FFRangio was 99%.
CONCLUSIONS: FFRangio measured from the coronary angiogram alone has a high sensitivity, specificity, and accuracy compared with pressure wire-derived FFR. FFRangio has the promise to substantially increase physiological coronary lesion assessment in the catheterization laboratory, thereby potentially leading to improved patient outcomes. CLINICAL TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov . Unique Identifier: NCT03226262.

Entities:  

Keywords:  coronary artery disease; coronary circulation; fractional flow reserve, myocardial

Mesh:

Year:  2019        PMID: 30586699     DOI: 10.1161/CIRCULATIONAHA.118.037350

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  32 in total

1.  In Reply.

Authors:  Monique Tröbs
Journal:  Dtsch Arztebl Int       Date:  2019-06-28       Impact factor: 5.594

2.  Combining anatomy and physiology: New angiography-based and computed tomography coronary angiography-derived fractional flow reserve indices.

Authors:  Mariusz Tomaniak; Patrick W Serruys
Journal:  Cardiol J       Date:  2020       Impact factor: 2.737

3.  The year in cardiology 2018: coronary interventions.

Authors:  Dariusz Dudek; Artur Dziewierz; Gregg Stone; William Wijns
Journal:  Eur Heart J       Date:  2019-01-07       Impact factor: 29.983

4.  Association of Improvement in Fractional Flow Reserve With Outcomes, Including Symptomatic Relief, After Percutaneous Coronary Intervention.

Authors:  Stephane Fournier; Giovanni Ciccarelli; Gabor G Toth; Anastasios Milkas; Panagiotis Xaplanteris; Pim A L Tonino; William F Fearon; Nico H J Pijls; Emanuele Barbato; Bernard De Bruyne
Journal:  JAMA Cardiol       Date:  2019-04-01       Impact factor: 14.676

Review 5.  Physiological Assessment of Coronary Lesions in 2020.

Authors:  Mohsin Chowdhury; Eric A Osborn
Journal:  Curr Treat Options Cardiovasc Med       Date:  2020-01-15

Review 6.  The Clinical Significance of Physiological Assessment of Residual Ischemia After Percutaneous Coronary Intervention.

Authors:  Chandra P Ojha; Ahmed Ibrahim; Timir K Paul; Venkatachalam Mulukutla; Harsha S Nagarajarao
Journal:  Curr Cardiol Rep       Date:  2020-02-08       Impact factor: 2.931

7.  Diagnostic performance of virtual fractional flow reserve derived from routine coronary angiography using segmentation free reduced order (1-dimensional) flow modelling.

Authors:  Kevin Mohee; Jonathan P Mynard; Gauravsingh Dhunnoo; Rhodri Davies; Perumal Nithiarasu; Julian P Halcox; Daniel R Obaid
Journal:  JRSM Cardiovasc Dis       Date:  2020-11-05

8.  A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning.

Authors:  Wing Keung Cheung; Robert Bell; Arjun Nair; Leon J Menezes; Riyaz Patel; Simon Wan; Kacy Chou; Jiahang Chen; Ryo Torii; Rhodri H Davies; James C Moon; Daniel C Alexander; Joseph Jacob
Journal:  IEEE Access       Date:  2021-07-21       Impact factor: 3.367

Review 9.  Functional Assessment of Coronary Artery Lesions-Old and New Kids on the Block.

Authors:  Prashant Patel; Ravi Rao; Prabhdeep Sethi; Ashis Mukherjee; Padmini Varadarajan; Ramdas G Pai
Journal:  Int J Angiol       Date:  2021-02-12

10.  Prediction of revascularization by coronary CT angiography using a machine learning ischemia risk score.

Authors:  Alan C Kwan; Priscilla A McElhinney; Balaji K Tamarappoo; Sebastien Cadet; Cecilia Hurtado; Robert J H Miller; Donghee Han; Yuka Otaki; Evann Eisenberg; Joseph E Ebinger; Piotr J Slomka; Victor Y Cheng; Daniel S Berman; Damini Dey
Journal:  Eur Radiol       Date:  2020-09-03       Impact factor: 5.315

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