Non-Newtonian Endothelial Shear Stress Simulation: Does It Matter?
Frontiers in Cardiovascular Medicine 9
Article 2022 English
Authors
VT
Vikas Thondapu
DS
Daisuke Shishikura
JD
Jouke Dijkstra
Abstract
1 min read
Patient-specific coronary endothelial shear stress (ESS) calculations using Newtonian and non-Newtonian rheological models were performed to assess whether the common assumption of Newtonian blood behavior offers similar results to a more realistic but computationally expensive non-Newtonian model. 16 coronary arteries (from 16 patients) were reconstructed from optical coherence tomographic (OCT) imaging. Pulsatile CFD simulations using Newtonian and the Quemada non-Newtonian model were performed. Endothelial shear stress (ESS) and other indices were compared. Exploratory indices including local blood viscosity (LBV) were calculated from non-Newtonian simulation data. Compared to the Newtonian results, the non-Newtonian model estimates significantly higher time-averaged ESS (1.69 (IQR 1.36)Pa versus 1.28 (1.16)Pa, p < 0.001) and ESS gradient (0.90 (1.20)Pa/mm versus 0.74 (1.03)Pa/mm, p < 0.001) throughout the cardiac cycle, under-estimating the low ESS (<1Pa) area (37.20 ± 13.57% versus 50.43 ± 14.16%, 95% CI 11.28-15.18, p < 0.001). Similar results were also found in the idealized artery simulations with non-Newtonian median ESS being higher than the Newtonian median ESS (healthy segments: 0.8238Pa versus 0.6618Pa, p < 0.001 proximal; 0.8179Pa versus 0.6610Pa, p < 0.001 distal; stenotic segments: 0.8196Pa versus 0.6611Pa, p < 0.001 proximal; 0.2546Pa versus 0.2245Pa, p < 0.001 distal) On average, the non-Newtonian model has a LBV of 1.45 times above the Newtonian model with an average peak LBV of 40-fold. Non-Newtonian blood model estimates higher quantitative ESS values than the Newtonian model. Incorporation of non-Newtonian blood behavior may improve the accuracy of ESS measurements. The non-Newtonian model also allows calculation of exploratory viscosity-based hemodynamic indices, such as local blood viscosity, which may offer additional information to detect underlying atherosclerosis.
Vikas Thondapu, Erhan Tenekecioğlu, Eric Poon, Carlos Collet, Ryo Torii, Christos V. Bourantas, Rey Chin, Yohei Sotomi, Hans Jonker, Jouke Dijkstra, Eve Revalor, Frank Gijsen, Yoshinobu Onuma, Andrew Ooi, Peter Barlis, Patrick W. Serruys
Christos V. Bourantas, Anantharaman Ramasamy, Alexios Karagiannis, Antonis I. Sakellarios, Thomas Zanchin, Kyohei Yamaji, Yasushi Ueki, Xiaohui Shen, Dimitrios I. Fotiadis, Lampros K. Michalis, Anthony Mathur, Patrick W. Serruys, Héctor M. García‐García, K Koskinas, Ryo Torii, Stephan Windecker, Lorenz Räber
Erhan Tenekecioğlu, Ryo Torii, Yuki Katagiri, Ply Chichareon, Taku Asano, Yosuke Miyazaki, Kuniaki Takahashi, Rodrigo Modolo, Rasha Al‐Lamee, Kadem Al-Lameé, Carlos Colet, Johan H. C. Reiber, Kerem Pekkan, Robert van Geuns, Christos V. Bourantas, Yoshinobu Onuma, Patrick W. Serruys
The International Journal of Cardiovascular Imaging
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