Literature DB >> 33068193

The influence of inlet velocity profile on predicted flow in type B aortic dissection.

Chlöe Harriet Armour1, Baolei Guo2, Selene Pirola1, Simone Saitta1, Yifan Liu2, Zhihui Dong3, Xiao Yun Xu4.   

Abstract

In order for computational fluid dynamics to provide quantitative parameters to aid in the clinical assessment of type B aortic dissection, the results must accurately mimic the hemodynamic environment within the aorta. The choice of inlet velocity profile (IVP) therefore is crucial; however, idealised profiles are often adopted, and the effect of IVP on hemodynamics in a dissected aorta is unclear. This study examined two scenarios with respect to the influence of IVP-using (a) patient-specific data in the form of a three-directional (3D), through-plane (TP) or flat IVP; and (b) non-patient-specific flow waveform. The results obtained from nine simulations using patient-specific data showed that all forms of IVP were able to reproduce global flow patterns as observed with 4D flow magnetic resonance imaging. Differences in maximum velocity and time-averaged wall shear stress near the primary entry tear were up to 3% and 6%, respectively, while pressure differences across the true and false lumen differed by up to 6%. More notable variations were found in regions of low wall shear stress when the primary entry tear was close to the left subclavian artery. The results obtained with non-patient-specific waveforms were markedly different. Throughout the aorta, a 25% reduction in stroke volume resulted in up to 28% and 35% reduction in velocity and wall shear stress, respectively, while the shape of flow waveform had a profound influence on the predicted pressure. The results of this study suggest that 3D, TP and flat IVPs all yield reasonably similar velocity and time-averaged wall shear stress results, but TP IVPs should be used where possible for better prediction of pressure. In the absence of patient-specific velocity data, effort should be made to acquire patient's stroke volume and adjust the applied IVP accordingly.

Entities:  

Keywords:  Computation fluid dynamics; Inlet boundary condition; Patient-specific simulation; Type B aortic dissection

Year:  2020        PMID: 33068193      PMCID: PMC7979630          DOI: 10.1007/s10237-020-01395-4

Source DB:  PubMed          Journal:  Biomech Model Mechanobiol        ISSN: 1617-7940


  29 in total

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4.  4-D Flow MRI-Based Computational Analysis of Blood Flow in Patient-Specific Aortic Dissection.

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Authors:  Amanda K Wake; John N Oshinski; Allen R Tannenbaum; Don P Giddens
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Authors:  S Pirola; O A Jarral; D P O'Regan; G Asimakopoulos; J R Anderson; J R Pepper; T Athanasiou; X Y Xu
Journal:  APL Bioeng       Date:  2018-03-16

9.  Impact of Patient-Specific Inflow Velocity Profile on Hemodynamics of the Thoracic Aorta.

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Journal:  J Biomech Eng       Date:  2018-01-01       Impact factor: 2.097

10.  Mathematical modeling of thrombus formation in idealized models of aortic dissection: initial findings and potential applications.

Authors:  Claudia Menichini; Xiao Yun Xu
Journal:  J Math Biol       Date:  2016-03-23       Impact factor: 2.259

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  6 in total

1.  High Wall Shear Stress can Predict Wall Degradation in Ascending Aortic Aneurysms: An Integrated Biomechanics Study.

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Journal:  Front Bioeng Biotechnol       Date:  2021-10-18

2.  A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics.

Authors:  Catriona Stokes; Mirko Bonfanti; Zeyan Li; Jiang Xiong; Duanduan Chen; Stavroula Balabani; Vanessa Díaz-Zuccarini
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3.  Prediction of aortic dilatation in surgically repaired type A dissection: A longitudinal study using computational fluid dynamics.

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Journal:  JTCVS Open       Date:  2022-02-09

4.  Association of hemodynamic factors and progressive aortic dilatation following type A aortic dissection surgical repair.

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Journal:  Sci Rep       Date:  2021-06-01       Impact factor: 4.379

5.  The effect of beta-blockers on hemodynamic parameters in patient-specific blood flow simulations of type-B aortic dissection: a virtual study.

Authors:  Mohammad Amin Abazari; Deniz Rafieianzab; M Soltani; Mona Alimohammadi
Journal:  Sci Rep       Date:  2021-08-06       Impact factor: 4.379

6.  On the Role and Effects of Uncertainties in Cardiovascular in silico Analyses.

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Journal:  Front Med Technol       Date:  2021-12-01
  6 in total

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