High Precision Invasive Ffr, Low-Cost Invasive Ifr, or Non-Invasive Cfr?: Optimum Assessment of Coronary Artery Stenosis Based on the Patient-Specific Computational Models

High Precision Invasive Ffr, Low-Cost Invasive Ifr, or Non-Invasive Cfr?: Optimum Assessment of Coronary Artery Stenosis Based on the Patient-Specific Computational Models Publisher Pubmed

Tajeddini F¹ ; Nikmaneshi MR^{1, 2} ; Firoozabadi B¹ ; Pakravan HA³ ; Ahmadi Tafti SH⁴ ; Afshin H¹

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1. Center of Excellence in Energy Conversion, School of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
2. Department of Radiation Oncology, Harvard Medical School, Boston, MA, United States
3. School of Mechanical Engineering, Shiraz University, Shiraz, Iran
4. Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran

Source: International Journal for Numerical Methods in Biomedical Engineering Published:2020

Abstract

The objective of this paper is to apply computational fluid dynamic (CFD) as a complementary tool for clinical tests to not only predict the present and future status of left coronary artery stenosis but also to evaluate some clinical hypotheses. In order to assess the present status of the coronary artery stenosis severity, and thereby selecting the most appropriate type of treatment for each patient, fractional flow reserve (FFR), instantaneous wave free-ratio (iFR), and coronary flow reserve (CFR) are calculated. To examine FFR, iFR, and CFR results, the effect of geometric features of stenoses, including diameter reduction (%), lesion length (LL), and minimum lumen diameter (MLD), is studied on them. It is observed that FFR is a more conservative index than iFR and CFR to assess the severity of coronary stenosis. In addition, it is seen that FFR, iFR, and CFR decrease by increasing LL and decreasing MLD. Therefore, the morphological indices, LL/MLD and LL/MLD̂4, with the calculated conservative cut-off values equal to 5.5 and 3.6, are considered. Next, some controversial clinical hypotheses about the assessment of the severity of coronary stenosis are evaluated numerically. These include the examination of FFR, iFR, and CFR accuracies, investigating the effect of coronary hyperemia on iFR, as well as the reliability of the hybrid iFR-FFR decision-making strategy. The presented numerical model can also be used as a predictive tool to identify the atherosuseptible sites of arteries by calculating the time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI), and relative residence time (RRT). © 2020 John Wiley & Sons Ltd

2. Machine Learning and Computational Fluid Dynamics Derived Ffrct Demonstrate Comparable Diagnostic Performance in Patients With Coronary Artery Disease; a Systematic Review and Meta-Analysis, Journal of Cardiovascular Computed Tomography (2025)

3. Is It the Time to Move Towards Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve Guided Percutaneous Coronary Intervention? the Pros and Cons, Current Cardiology Reviews (2023)

4. Validity and Diagnostic Performance of Computing Fractional Flow Reserve From 2-Dimensional Coronary Angiography Images, Texas Heart Institute Journal (2023)

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Style	Citing Format
MLA	Tajeddini F, et al.. "High Precision Invasive Ffr, Low-Cost Invasive Ifr, or Non-Invasive Cfr?: Optimum Assessment of Coronary Artery Stenosis Based on the Patient-Specific Computational Models." International Journal for Numerical Methods in Biomedical Engineering, vol. 36, no. 10, 2020, pp. -.
APA	Tajeddini F, Nikmaneshi MR, Firoozabadi B, Pakravan HA, Ahmadi Tafti SH, Afshin H (2020). High Precision Invasive Ffr, Low-Cost Invasive Ifr, or Non-Invasive Cfr?: Optimum Assessment of Coronary Artery Stenosis Based on the Patient-Specific Computational Models. International Journal for Numerical Methods in Biomedical Engineering, 36(10), -.
Chicago	Tajeddini F, Nikmaneshi MR, Firoozabadi B, Pakravan HA, Ahmadi Tafti SH, Afshin H. "High Precision Invasive Ffr, Low-Cost Invasive Ifr, or Non-Invasive Cfr?: Optimum Assessment of Coronary Artery Stenosis Based on the Patient-Specific Computational Models." International Journal for Numerical Methods in Biomedical Engineering 36, no. 10 (2020): -.
Harvard	Tajeddini F et al. (2020) 'High Precision Invasive Ffr, Low-Cost Invasive Ifr, or Non-Invasive Cfr?: Optimum Assessment of Coronary Artery Stenosis Based on the Patient-Specific Computational Models', International Journal for Numerical Methods in Biomedical Engineering, 36(10), pp. -.
Vancouver	Tajeddini F, Nikmaneshi MR, Firoozabadi B, Pakravan HA, Ahmadi Tafti SH, Afshin H. High Precision Invasive Ffr, Low-Cost Invasive Ifr, or Non-Invasive Cfr?: Optimum Assessment of Coronary Artery Stenosis Based on the Patient-Specific Computational Models. International Journal for Numerical Methods in Biomedical Engineering. 2020;36(10):-.
BibTex	@article{ author = {Tajeddini F and Nikmaneshi MR and Firoozabadi B and Pakravan HA and Ahmadi Tafti SH and Afshin H}, title = {High Precision Invasive Ffr, Low-Cost Invasive Ifr, or Non-Invasive Cfr?: Optimum Assessment of Coronary Artery Stenosis Based on the Patient-Specific Computational Models}, journal = {International Journal for Numerical Methods in Biomedical Engineering}, volume = {36}, number = {10}, pages = {-}, year = {2020} }
RIS	TY - JOUR AU - Tajeddini F AU - Nikmaneshi MR AU - Firoozabadi B AU - Pakravan HA AU - Ahmadi Tafti SH AU - Afshin H TI - High Precision Invasive Ffr, Low-Cost Invasive Ifr, or Non-Invasive Cfr?: Optimum Assessment of Coronary Artery Stenosis Based on the Patient-Specific Computational Models JO - International Journal for Numerical Methods in Biomedical Engineering VL - 36 IS - 10 SP - EP - PY - 2020 ER -

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