Virtual Hemodynamic Assessment of Coronary Lesions: The Advent of Functional Angiography and Coronary Imaging

Author:

Nikopoulos Sotirios1ORCID,Papafaklis Michail I.2ORCID,Tsompou Panagiota34,Sakellarios Antonis5ORCID,Siogkas Panagiotis34ORCID,Sioros Spyros1,Fotiadis Dimitrios I.34ORCID,Katsouras Christos S.1,Naka Katerina K.1ORCID,Nikas Dimitrios1ORCID,Michalis Lampros1ORCID

Affiliation:

1. Department of Cardiology, Medical School, University of Ioannina, 45110 Ioannina, Greece

2. Cardiology Division, Medical School, University of Patras, 26504 Patras, Greece

3. Department of Biomedical Research, Institute of Molecular Biology and Biotechnology-FORTH, University Campus of Ioannina, 45115 Ioannina, Greece

4. Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, 45110 Ioannina, Greece

5. Department of Mechanical Engineering and Aeronautics, University of Patras, 26504 Rio, Greece

Abstract

The fractional flow reserve (FFR) is well recognized as a gold standard measure for the estimation of functional coronary stenosis. Technological progressions in image processing have empowered the reconstruction of three-dimensional models of the coronary arteries via both non-invasive and invasive imaging modalities. The application of computational fluid dynamics (CFD) techniques to coronary 3D anatomical models allows the virtual evaluation of the hemodynamic significance of a coronary lesion with high diagnostic accuracy. Methods: Search of the bibliographic database for articles published from 2011 to 2023 using the following search terms: invasive FFR and non-invasive FFR. Pooled analysis of the sensitivity and specificity, with the corresponding confidence intervals from 32% to 94%. In addition, the summary processing times were determined. Results: In total, 24 studies published between 2011 and 2023 were included, with a total of 13,591 patients and 3345 vessels. The diagnostic accuracy of the invasive and non-invasive techniques at the per-patient level was 89% (95% CI, 85–92%) and 76% (95% CI, 61–80%), respectively, while on the per-vessel basis, it was 92% (95% CI, 82–88%) and 81% (95% CI, 75–87%), respectively. Conclusion: These opportunities providing hemodynamic information based on anatomy have given rise to a new era of functional angiography and coronary imaging. However, further validations are needed to overcome several scientific and computational challenges before these methods are applied in everyday clinical practice.

Publisher

MDPI AG

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