ArticleFrontiers in cardiovascular medicine2023
Diagnostic performance of IVUS-FFR analysis based on generative adversarial network and bifurcation fractal law for assessing myocardial ischemia.
Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 3 of them syntheses that pooled it.
What it found
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Who cites it
4 citing papers in PubMed, 3 syntheses or guidelines pooled it, 9 citations in OpenAlex.
- Artificial Intelligence-Based Analysis of Coronary Atherosclerotic Plaque on Intravascular Ultrasound: A Systematic Review and Meta-Analysis.Clinical cardiology · 2026Pooled it
- Comparison of Coronary Angiographic-Derived and Intracoronary Imaging-Based Fractional Flow Reserve in Assessing Coronary Artery Stenosis Severity: A Systematic Review and Network Meta-Analysis.Journal of evidence-based medicine · 2025Pooled it
- Systematic review and meta-analysis of Murray's law in the coronary arterial circulation.American journal of physiology. Heart and circulatory physiology · 2024Pooled it
- Synthetic artificial intelligence in cardiology: from generative models to clinical applications.European heart journal open · 2026Review
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: IVUS-based virtual FFR (IVUS-FFR) can provide additional functional assessment information to IVUS imaging for the diagnosis of coronary stenosis. IVUS image segmentation and side branch blood flow can affect the accuracy of virtual FFR. The purpose of this study was to evaluate the diagnostic performance of an IVUS-FFR analysis based on generative adversarial networks and bifurcation fractal law, using invasive FFR as a reference. Method: In this study, a total of 108 vessels were retrospectively collected from 87 patients who underwent IVUS and invasive FFR. IVUS-FFR was performed by analysts who were blinded to invasive FFR. We evaluated the diagnostic performance and computation time of IVUS-FFR, and compared it with that of the FFR-branch (considering side branch blood flow by manually extending the side branch from the bifurcation ostia). We also compared the effects of three bifurcation fractal laws on the accuracy of IVUS-FFR. Result: The diagnostic accuracy, sensitivity, and specificity for IVUS-FFR to identify invasive Conclusion: Our proposed IVUS-FFR analysis correlates and agrees well with invasive FFR and shows good diagnostic performance. Compared with FFR-branch, IVUS-FFR has the same level of diagnostic performance with significantly lower computation time.
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Registered trials
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