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.
Abstract

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