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Diagnostic Performance of Fractional Flow Reserve Derived From Coronary CT Angiography: The ACCURATE-CT Study.
- Source :
-
JACC. Cardiovascular interventions [JACC Cardiovasc Interv] 2024 Sep 09; Vol. 17 (17), pp. 1980-1992. Date of Electronic Publication: 2024 Aug 21. - Publication Year :
- 2024
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Abstract
- Background: AccuFFRct (ArteryFlow Technology) is a novel noninvasive method for calculating fractional flow reserve (FFR) from coronary computed tomography angiography (CCTA). The accuracy of AccuFFRct has not been adequately assessed.<br />Objectives: This study sought to evaluate the diagnostic performance of AccuFFRct in detecting lesion-specific ischemia.<br />Methods: This prospective study enrolled 339 patients with 404 vessels. CCTA-derived FFR was calculated using an on-site computational fluid dynamics-based method and compared with invasive FFR. The performance of AccuFFRct was comprehensively analyzed in all lesions and subgroups, including "gray zone" lesions, various lesion classifications, clinical presentations, stenosis severities, and lesion locations.<br />Results: Using FFR ≤0.80 as a reference standard, the overall diagnostic accuracy, sensitivity, specificity, positive predictive value, and negative predictive value for AccuFFRct were 90.6% (95% CI: 87.3%-93.3%), 90.9% (95% CI: 85.1%-94.9%), 90.4% (95% CI: 86.1%-93.8%), 85.3% (95% CI: 79.8%-89.5%), and 94.2% (95% CI: 90.8%-96.4%), respectively. Good correlation and agreement were found between the computed AccuFFRct and measured FFR. AccuFFRct showed superior discrimination ability to CCTA (AUC: 0.93 [95% CI: 0.89-0.95] vs 0.77 [95% CI: 0.72-0.81]; P < 0.001) and quantitative coronary angiography (AUC: 0.93 [95% CI: 0.89-0.95] vs 0.89 [95% CI: 0.85-0.92]; P = 0.048) for identifying functionally significant stenosis. Notably, AccuFFRct maintained high diagnostic accuracy across the spectrum of lesion classifications, clinical presentations, stenosis severities, lesion locations, and in the "gray zone". Furthermore, in the cohort with ≥70% stenosis, AccuFFRct could significantly reduce the rate of un-necessary invasive tests (33.1% vs 6.6%; P < 0.001).<br />Conclusions: The study confirms the potential of AccuFFRct as a noninvasive alternative to invasive FFR for detecting ischemia in coronary artery disease and to risk stratify patients. The results highlight AccuFFRct's robust diagnostic ability across a wide range of lesion classifications, clinical presentations, stenosis severities, lesion locations, and in the "gray zone". (Diagnostic Performance of Fractional Flow Reserve Derived From Coronary CT Angiography [ACCURATE-CT]; NCT04426396).<br />Competing Interests: Funding Support and Author Disclosures This work was supported by Zhejiang Provincial Public Welfare Technology Research Project (grant LGF20H020012), National Natural Science Foundation of China (grant 82170332), Zhejiang Provincial Key Research and Development Plan (grants 2020C03016 and 2024C03095), and Hangzhou Leading Innovation and Entrepreneurship Team Project (grant TD2022007). Dr Koo has received institutional research grants from HeartFlow and AiMEDIC. Dr Wang serves as Editor-in-Chief for JACC: Asia. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.<br /> (Copyright © 2024 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Humans
Prospective Studies
Female
Male
Middle Aged
Aged
Reproducibility of Results
Multidetector Computed Tomography
Cardiac Catheterization
Radiographic Image Interpretation, Computer-Assisted
Fractional Flow Reserve, Myocardial
Coronary Angiography
Predictive Value of Tests
Computed Tomography Angiography
Coronary Stenosis physiopathology
Coronary Stenosis diagnostic imaging
Coronary Artery Disease physiopathology
Coronary Artery Disease diagnostic imaging
Severity of Illness Index
Coronary Vessels diagnostic imaging
Coronary Vessels physiopathology
Subjects
Details
- Language :
- English
- ISSN :
- 1876-7605
- Volume :
- 17
- Issue :
- 17
- Database :
- MEDLINE
- Journal :
- JACC. Cardiovascular interventions
- Publication Type :
- Academic Journal
- Accession number :
- 39177553
- Full Text :
- https://doi.org/10.1016/j.jcin.2024.06.027