Literature DB >> 24427534

Impact of blood rheology on wall shear stress in a model of the middle cerebral artery.

Miguel O Bernabeu1, Rupert W Nash2, Derek Groen2, Hywel B Carver1, James Hetherington3, Timm Krüger2, Peter V Coveney2.   

Abstract

Perturbations to the homeostatic distribution of mechanical forces exerted by blood on the endothelial layer have been correlated with vascular pathologies, including intracranial aneurysms and atherosclerosis. Recent computational work suggests that, in order to correctly characterize such forces, the shear-thinning properties of blood must be taken into account. To the best of our knowledge, these findings have never been compared against experimentally observed pathological thresholds. In this work, we apply the three-band diagram (TBD) analysis due to Gizzi et al. (Gizzi et al. 2011 Three-band decomposition analysis of wall shear stress in pulsatile flows. Phys. Rev. E 83, 031902. (doi:10.1103/PhysRevE.83.031902)) to assess the impact of the choice of blood rheology model on a computational model of the right middle cerebral artery. Our results show that, in the model under study, the differences between the wall shear stress predicted by a Newtonian model and the well-known Carreau-Yasuda generalized Newtonian model are only significant if the vascular pathology under study is associated with a pathological threshold in the range 0.94-1.56 Pa, where the results of the TBD analysis of the rheology models considered differs. Otherwise, we observe no significant differences.

Entities:  

Keywords:  blood flow modelling; lattice Boltzmann; multi-scale modelling; rheology; three-band diagram analysis

Year:  2013        PMID: 24427534      PMCID: PMC3638489          DOI: 10.1098/rsfs.2012.0094

Source DB:  PubMed          Journal:  Interface Focus        ISSN: 2042-8898            Impact factor:   3.906


  21 in total

1.  Counterpoint: realizing the clinical utility of computational fluid dynamics--closing the gap.

Authors:  J R Cebral; H Meng
Journal:  AJNR Am J Neuroradiol       Date:  2012-01-26       Impact factor: 3.825

Review 2.  An image-based modeling framework for patient-specific computational hemodynamics.

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3.  Accurate prediction of wall shear stress in a stented artery: newtonian versus non-newtonian models.

Authors:  Juan Mejia; Rosaire Mongrain; Olivier F Bertrand
Journal:  J Biomech Eng       Date:  2011-07       Impact factor: 2.097

4.  On the importance of blood rheology for bulk flow in hemodynamic models of the carotid bifurcation.

Authors:  Umberto Morbiducci; Diego Gallo; Diana Massai; Raffaele Ponzini; Marco A Deriu; Luca Antiga; Alberto Redaelli; Franco M Montevecchi
Journal:  J Biomech       Date:  2011-07-12       Impact factor: 2.712

5.  Choice of boundary condition for lattice-Boltzmann simulation of moderate-Reynolds-number flow in complex domains.

Authors:  Rupert W Nash; Hywel B Carver; Miguel O Bernabeu; James Hetherington; Derek Groen; Timm Krüger; Peter V Coveney
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-02-18

6.  Burden of disease and costs of aneurysmal subarachnoid haemorrhage (aSAH) in the United Kingdom.

Authors:  Oliver Rivero-Arias; Alastair Gray; Jane Wolstenholme
Journal:  Cost Eff Resour Alloc       Date:  2010-04-27

7.  Newtonian viscosity model could overestimate wall shear stress in intracranial aneurysm domes and underestimate rupture risk.

Authors:  Jianping Xiang; Markus Tremmel; John Kolega; Elad I Levy; Sabareesh K Natarajan; Hui Meng
Journal:  J Neurointerv Surg       Date:  2011-09-19       Impact factor: 5.836

8.  Magnitude and role of wall shear stress on cerebral aneurysm: computational fluid dynamic study of 20 middle cerebral artery aneurysms.

Authors:  Masaaki Shojima; Marie Oshima; Kiyoshi Takagi; Ryo Torii; Motoharu Hayakawa; Kazuhiro Katada; Akio Morita; Takaaki Kirino
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9.  Effect of non-newtonian behavior on hemodynamics of cerebral aneurysms.

Authors:  Carolyn Fisher; Jenn Stroud Rossmann
Journal:  J Biomech Eng       Date:  2009-09       Impact factor: 2.097

10.  Flexible composition and execution of high performance, high fidelity multiscale biomedical simulations.

Authors:  D Groen; J Borgdorff; C Bona-Casas; J Hetherington; R W Nash; S J Zasada; I Saverchenko; M Mamonski; K Kurowski; M O Bernabeu; A G Hoekstra; P V Coveney
Journal:  Interface Focus       Date:  2013-04-06       Impact factor: 3.906

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  11 in total

Review 1.  What does computational fluid dynamics tell us about intracranial aneurysms? A meta-analysis and critical review.

Authors:  Khalid M Saqr; Sherif Rashad; Simon Tupin; Kuniyasu Niizuma; Tamer Hassan; Teiji Tominaga; Makoto Ohta
Journal:  J Cereb Blood Flow Metab       Date:  2019-06-18       Impact factor: 6.200

2.  Non-Newtonian Effects on Patient-Specific Modeling of Fontan Hemodynamics.

Authors:  Zhenglun Wei; Shelly Singh-Gryzbon; Phillip M Trusty; Connor Huddleston; Yingnan Zhang; Mark A Fogel; Alessandro Veneziani; Ajit P Yoganathan
Journal:  Ann Biomed Eng       Date:  2020-05-05       Impact factor: 3.934

3.  Flexible composition and execution of high performance, high fidelity multiscale biomedical simulations.

Authors:  D Groen; J Borgdorff; C Bona-Casas; J Hetherington; R W Nash; S J Zasada; I Saverchenko; M Mamonski; K Kurowski; M O Bernabeu; A G Hoekstra; P V Coveney
Journal:  Interface Focus       Date:  2013-04-06       Impact factor: 3.906

4.  Ten simple rules for effective computational research.

Authors:  James M Osborne; Miguel O Bernabeu; Maria Bruna; Ben Calderhead; Jonathan Cooper; Neil Dalchau; Sara-Jane Dunn; Alexander G Fletcher; Robin Freeman; Derek Groen; Bernhard Knapp; Greg J McInerny; Gary R Mirams; Joe Pitt-Francis; Biswa Sengupta; David W Wright; Christian A Yates; David J Gavaghan; Stephen Emmott; Charlotte Deane
Journal:  PLoS Comput Biol       Date:  2014-03-27       Impact factor: 4.475

5.  Performance of distributed multiscale simulations.

Authors:  J Borgdorff; M Ben Belgacem; C Bona-Casas; L Fazendeiro; D Groen; O Hoenen; A Mizeranschi; J L Suter; D Coster; P V Coveney; W Dubitzky; A G Hoekstra; P Strand; B Chopard
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2014-08-06       Impact factor: 4.226

6.  Validation of Patient-Specific Cerebral Blood Flow Simulation Using Transcranial Doppler Measurements.

Authors:  Derek Groen; Robin A Richardson; Rachel Coy; Ulf D Schiller; Hoskote Chandrashekar; Fergus Robertson; Peter V Coveney
Journal:  Front Physiol       Date:  2018-06-19       Impact factor: 4.566

7.  An efficient, localised approach for the simulation of elastic blood vessels using the lattice Boltzmann method.

Authors:  J W S McCullough; P V Coveney
Journal:  Sci Rep       Date:  2021-12-20       Impact factor: 4.379

8.  Comparison of Newtonian and Non-newtonian Fluid Models in Blood Flow Simulation in Patients With Intracranial Arterial Stenosis.

Authors:  Haipeng Liu; Linfang Lan; Jill Abrigo; Hing Lung Ip; Yannie Soo; Dingchang Zheng; Ka Sing Wong; Defeng Wang; Lin Shi; Thomas W Leung; Xinyi Leng
Journal:  Front Physiol       Date:  2021-09-06       Impact factor: 4.566

9.  Computer simulations reveal complex distribution of haemodynamic forces in a mouse retina model of angiogenesis.

Authors:  Miguel O Bernabeu; Martin L Jones; Jens H Nielsen; Timm Krüger; Rupert W Nash; Derek Groen; Sebastian Schmieschek; James Hetherington; Holger Gerhardt; Claudio A Franco; Peter V Coveney
Journal:  J R Soc Interface       Date:  2014-10-06       Impact factor: 4.118

10.  Modeling Patient-Specific Magnetic Drug Targeting Within the Intracranial Vasculature.

Authors:  Alexander Patronis; Robin A Richardson; Sebastian Schmieschek; Brian J N Wylie; Rupert W Nash; Peter V Coveney
Journal:  Front Physiol       Date:  2018-04-19       Impact factor: 4.566

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