Literature DB >> 21349523

The influence of boundary conditions on wall shear stress distribution in patients specific coronary trees.

Alina G van der Giessen1, Harald C Groen, Pierre-André Doriot, Pim J de Feyter, Antonius F W van der Steen, Frans N van de Vosse, Jolanda J Wentzel, Frank J H Gijsen.   

Abstract

Patient specific geometrical data on human coronary arteries can be reliably obtained multislice computer tomography (MSCT) imaging. MSCT cannot provide hemodynamic variables, and the outflow through the side branches must be estimated. The impact of two different models to determine flow through the side branches on the wall shear stress (WSS) distribution in patient specific geometries is evaluated. Murray's law predicts that the flow ratio through the side branches scales with the ratio of the diameter of the side branches to the third power. The empirical model is based on flow measurements performed by Doriot et al. (2000) in angiographically normal coronary arteries. The fit based on these measurements showed that the flow ratio through the side branches can best be described with a power of 2.27. The experimental data imply that Murray's law underestimates the flow through the side branches. We applied the two models to study the WSS distribution in 6 coronary artery trees. Under steady flow conditions, the average WSS between the side branches differed significantly for the two models: the average WSS was 8% higher for Murray's law and the relative difference ranged from -5% to +27%. These differences scale with the difference in flow rate. Near the bifurcations, the differences in WSS were more pronounced: the size of the low WSS regions was significantly larger when applying the empirical model (13%), ranging from -12% to +68%. Predicting outflow based on Murray's law underestimates the flow through the side branches. Especially near side branches, the regions where atherosclerotic plaques preferentially develop, the differences are significant and application of Murray's law underestimates the size of the low WSS region.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21349523     DOI: 10.1016/j.jbiomech.2011.01.036

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  29 in total

1.  Magnetic resonance imaging-based computational modelling of blood flow and nanomedicine deposition in patients with peripheral arterial disease.

Authors:  Shaolie S Hossain; Yongjie Zhang; Xiaoyi Fu; Gerd Brunner; Jaykrishna Singh; Thomas J R Hughes; Dipan Shah; Paolo Decuzzi
Journal:  J R Soc Interface       Date:  2015-05-06       Impact factor: 4.118

2.  Evaluation of fractional flow reserve in patients with stable angina: can CT compete with angiography?

Authors:  Xin Liu; Yabin Wang; Heye Zhang; Youbing Yin; Kunlin Cao; Zhifan Gao; Huafeng Liu; William Kongto Hau; Lei Gao; Yundai Chen; Feng Cao; Wenhua Huang
Journal:  Eur Radiol       Date:  2019-03-18       Impact factor: 5.315

3.  Computational fluid dynamic simulations of image-based stented coronary bifurcation models.

Authors:  Claudio Chiastra; Stefano Morlacchi; Diego Gallo; Umberto Morbiducci; Rubén Cárdenes; Ignacio Larrabide; Francesco Migliavacca
Journal:  J R Soc Interface       Date:  2013-05-15       Impact factor: 4.118

4.  Complementary X-ray tomography techniques for histology-validated 3D imaging of soft and hard tissues using plaque-containing blood vessels as examples.

Authors:  Margaret N Holme; Georg Schulz; Hans Deyhle; Timm Weitkamp; Felix Beckmann; Johannes A Lobrinus; Farhad Rikhtegar; Vartan Kurtcuoglu; Irene Zanette; Till Saxer; Bert Müller
Journal:  Nat Protoc       Date:  2014-05-22       Impact factor: 13.491

Review 5.  Physiology and coronary artery disease: emerging insights from computed tomography imaging based computational modeling.

Authors:  Parastou Eslami; Vikas Thondapu; Julia Karady; Eline M J Hartman; Zexi Jin; Mazen Albaghdadi; Michael Lu; Jolanda J Wentzel; Udo Hoffmann
Journal:  Int J Cardiovasc Imaging       Date:  2020-08-10       Impact factor: 2.357

6.  The effects of clinically-derived parametric data uncertainty in patient-specific coronary simulations with deformable walls.

Authors:  Jongmin Seo; Daniele E Schiavazzi; Andrew M Kahn; Alison L Marsden
Journal:  Int J Numer Method Biomed Eng       Date:  2020-06-25       Impact factor: 2.747

7.  Challenges in Modeling Hemodynamics in Cerebral Aneurysms Related to Arteriovenous Malformations.

Authors:  Kimberly A Stevens Boster; Tanmay C Shidhore; Aaron A Cohen-Gadol; Ivan C Christov; Vitaliy L Rayz
Journal:  Cardiovasc Eng Technol       Date:  2022-02-01       Impact factor: 2.495

8.  An optimal control approach to determine resistance-type boundary conditions from in-vivo data for cardiovascular simulations.

Authors:  Elisa Fevola; Francesco Ballarin; Laura Jiménez-Juan; Stephen Fremes; Stefano Grivet-Talocia; Gianluigi Rozza; Piero Triverio
Journal:  Int J Numer Method Biomed Eng       Date:  2021-08-15       Impact factor: 2.648

9.  Lipid-rich Plaques Detected by Near-infrared Spectroscopy Are More Frequently Exposed to High Shear Stress.

Authors:  Eline M J Hartman; Giuseppe De Nisco; Annette M Kok; Ayla Hoogendoorn; Adriaan Coenen; Frits Mastik; Suze-Anne Korteland; Koen Nieman; Frank J H Gijsen; Anton F W van der Steen; Joost Daemen; Jolanda J Wentzel
Journal:  J Cardiovasc Transl Res       Date:  2020-10-09       Impact factor: 4.132

10.  Compound ex vivo and in silico method for hemodynamic analysis of stented arteries.

Authors:  Farhad Rikhtegar; Fernando Pacheco; Christophe Wyss; Kathryn S Stok; Heng Ge; Ryan J Choo; Aldo Ferrari; Dimos Poulikakos; Ralph Müller; Vartan Kurtcuoglu
Journal:  PLoS One       Date:  2013-03-13       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.