ArticlePloS one2021
An improved reduced-order model for pressure drop across arterial stenoses.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Study of blood flow patterns in a stenosed artery through the combined effect of body acceleration and generalized womersley solution.Scientific reports · 2025Article
- Hybrid physics-based and data-driven modeling of vascular bifurcation pressure differences.Computers in biology and medicine · 2025Article
- Co-registered optical coherence tomography and X-ray angiography for the prediction of fractional flow reserve.The international journal of cardiovascular imaging · 2024Article
- Accuracy of analytically determined fractional flow reserve derived from coronary angiography for non-invasive assessment of coronary artery stenosis.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024Article
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Authors and funding
2 authors.
Funding
Abstract
Quantification of pressure drop across stenotic arteries is a major element in the functional assessment of occlusive arterial disease. Accurate estimation of the pressure drop with a numerical model allows the calculation of Fractional Flow Reserve (FFR), which is a haemodynamic index employed for guiding coronary revascularisation. Its non-invasive evaluation would contribute to safer and cost-effective diseases management. In this work, we propose a new formulation of a reduced-order model of trans-stenotic pressure drop, based on a consistent theoretical analysis of the Navier-Stokes equation. The new formulation features a novel term that characterises the contribution of turbulence effect to pressure loss. Results from three-dimensional computational fluid dynamics (CFD) showed that the proposed model produces predictions that are significantly more accurate than the existing reduced-order models, for large and small symmetric and eccentric stenoses, covering mild to severe area reductions. FFR calculations based on the proposed model produced zero classification error for three classes comprising positive (≤ 0.75), negative (≥ 0.8) and intermediate (0.75 - 0.8) classes.
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