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Updated: Jul 15, 2025

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
Published on: January 15, 2022
Modelling blood flow in coronary arteries: Newtonian or shear-thinning non-Newtonian rheology?
Giuseppe De Nisco1, Maurizio Lodi Rizzini1, Roberto Verardi2
1Polito(BIO)Med Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy.
Insights
The Newtonian assumption for blood rheology is adequate in coronary artery disease (CAD) simulations. Computational fluid dynamics (CFD) models using Newtonian and non-Newtonian blood properties yield similar results for wall shear stress and helical flow.
Area of Science:
- Cardiovascular Research
- Biomedical Engineering
- Computational Fluid Dynamics
Background:
- Medical imaging and computational hemodynamics show promise for diagnosing coronary artery disease (CAD).
- Clinical translation of in silico hemodynamic models is limited by uncertainties from assumptions in model-based strategies.
- This study addresses the uncertainty in modeling blood rheological properties for coronary hemodynamics simulations.
Purpose of the Study:
- To definitively answer whether the Newtonian assumption for blood rheology is adequate in coronary hemodynamics simulations.
- To evaluate the impact of Newtonian versus non-Newtonian blood rheology models on computational fluid dynamics (CFD) simulations of coronary arteries.
- To compare wall shear stress (WSS) and helical flow profiles under different rheological models.
Main Methods:
- Reconstructed 144 right coronary artery (RCA) geometries from patient angiography.
- Performed unsteady-state CFD simulations using both Newtonian (N) and shear-thinning non-Newtonian (non-N) blood rheological models.
- Evaluated WSS (magnitude, multidirectionality, skeleton) and helical flow (strength, topology), and quantified shear-exposed surface area similarity.
Main Results:
- Newtonian and non-Newtonian simulations showed remarkably similar WSS and helicity profiles, irrespective of stenosis degree.
- Bland-Altman analysis revealed negligible bias between N and non-N hemodynamic quantities (correlation r > 0.94).
- High similarity (SI 0.95) was observed in luminal surface areas exposed to shear disturbances, with helical flow topology unaffected by rheology.
Conclusions:
- Assumptions on blood rheology have a negligible impact on WSS and helical flow profiles in coronary artery disease (CAD) simulations.
- The Newtonian assumption for blood rheology is adequate for CFD simulations of coronary hemodynamics.
- This finding simplifies in silico modeling, reducing uncertainty in CAD diagnosis and prognosis.
Background:
The combination of medical imaging and computational hemodynamics is a promising technology to diagnose/prognose coronary artery disease (CAD). However, the clinical translation of in silico hemodynamic models is still hampered by assumptions/idealizations that must be introduced in model-based strategies and that necessarily imply uncertainty. This study aims to provide a definite answer to the open question of how to properly model blood rheological properties in computational fluid dynamics (CFD) simulations of coronary hemodynamics.
Methods:
The geometry of the right coronary artery (RCA) of 144 hemodynamically stable patients with different stenosis degree were reconstructed from angiography. On them, unsteady-state CFD simulations were carried out. On each reconstructed RCA two different simulation strategies were applied to account for blood rheological properties, implementing (i) a Newtonian (N) and (ii) a shear-thinning non-Newtonian (non-N) rheological model. Their impact was evaluated in terms of wall shear stress (WSS magnitude, multidirectionality, topological skeleton) and helical flow (strength, topology) profiles. Additionally, luminal surface areas (SAs) exposed to shear disturbances were identified and the co-localization of paired N and non-N SAs was quantified in terms of similarity index (SI).
Results:
The comparison between paired N vs. shear-thinning non-N simulations revealed remarkably similar profiles of WSS-based and helicity-based quantities, independent of the adopted blood rheology model and of the degree of stenosis of the vessel. Statistically, for each paired N and non-N hemodynamic quantity emerged negligible bias from Bland-Altman plots, and strong positive linear correlation (r > 0.94 for almost all the WSS-based quantities, r > 0.99 for helicity-based quantities). Moreover, a remarkable co-localization of N vs. non-N luminal SAs exposed to disturbed shear clearly emerged (SI distribution 0.95 [0.93, 0.97]). Helical flow topology resulted to be unaffected by blood rheological properties.
Conclusions:
This study, performed on 288 angio-based CFD simulations on 144 RCA models presenting with different degrees of stenosis, suggests that the assumptions on blood rheology have negligible impact both on WSS and helical flow profiles associated with CAD, thus definitively answering to the question "is Newtonian assumption for blood rheology adequate in coronary hemodynamics simulations?".
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