Literature DB >> 24290844

Development of a patient-specific simulation tool to analyse aortic dissections: assessment of mixed patient-specific flow and pressure boundary conditions.

Mona Alimohammadi1, Obiekezie Agu2, Stavroula Balabani1, Vanessa Díaz-Zuccarini3.   

Abstract

Aortic dissection has high morbidity and mortality rates and guidelines regarding surgical intervention are not clearly defined. The treatment of aortic dissection varies with each patient and detailed knowledge of haemodynamic and mechanical forces would be advantageous in the process of choosing a course of treatment. In this study, a patient-specific dissected aorta geometry is constructed from computed tomography scans. Dynamic boundary conditions are implemented by coupling a three element Windkessel model to the 3D domain at each outlet, in order to capture the essential behaviour of the downstream vasculature. The Windkessel model parameters are defined based on clinical data. The predicted minimum and maximum pressures are close to those measured invasively. Malperfusion is indicated and complex flow patterns are observed. Pressure, flow and wall shear stress distributions are analysed. The methodology presented here provides insight into the haemodynamics in a patient-specific dissected aorta and represents a development towards the use of CFD simulations as a diagnostic tool for aortic dissection.
Copyright © 2013 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aortic dissection; Blood flow; CFD; Patient-specific simulation; Windkessel model

Mesh:

Year:  2013        PMID: 24290844     DOI: 10.1016/j.medengphy.2013.11.003

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  19 in total

1.  Multilayer flow modulator enhances vital organ perfusion in patients with type B aortic dissection.

Authors:  Farhad Rikhtegar Nezami; Lambros S Athanasiou; Junedh M Amrute; Elazer R Edelman
Journal:  Am J Physiol Heart Circ Physiol       Date:  2018-08-10       Impact factor: 4.733

2.  Numerical investigation of patient-specific thoracic aortic aneurysms and comparison with normal subject via computational fluid dynamics (CFD).

Authors:  Mustafa Etli; Gokhan Canbolat; Oguz Karahan; Murat Koru
Journal:  Med Biol Eng Comput       Date:  2020-11-22       Impact factor: 2.602

Review 3.  Management of acute aortic syndrome.

Authors:  Rachel E Clough; Christoph A Nienaber
Journal:  Nat Rev Cardiol       Date:  2014-12-16       Impact factor: 32.419

4.  The Necessity to Seal the Re-Entry Tears of Aortic Dissection After TEVAR: A Hemodynamic Indicator.

Authors:  Zhenfeng Li; Huanming Xu; Chlöe Harriet Armour; Yuze Guo; Jiang Xiong; Xiaoyun Xu; Duanduan Chen
Journal:  Front Bioeng Biotechnol       Date:  2022-03-31

5.  Aortic dissection simulation models for clinical support: fluid-structure interaction vs. rigid wall models.

Authors:  Mona Alimohammadi; Joseph M Sherwood; Morad Karimpour; Obiekezie Agu; Stavroula Balabani; Vanessa Díaz-Zuccarini
Journal:  Biomed Eng Online       Date:  2015-04-15       Impact factor: 2.819

6.  Active training of physics-informed neural networks to aggregate and interpolate parametric solutions to the Navier-Stokes equations.

Authors:  Christopher J Arthurs; Andrew P King
Journal:  J Comput Phys       Date:  2021-08-01       Impact factor: 3.553

7.  Development of a Patient-Specific Multi-Scale Model to Understand Atherosclerosis and Calcification Locations: Comparison with In vivo Data in an Aortic Dissection.

Authors:  Mona Alimohammadi; Cesar Pichardo-Almarza; Obiekezie Agu; Vanessa Díaz-Zuccarini
Journal:  Front Physiol       Date:  2016-06-21       Impact factor: 4.566

8.  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

9.  Multi-modality image-based computational analysis of haemodynamics in aortic dissection.

Authors:  Desmond Dillon-Murphy; Alia Noorani; David Nordsletten; C Alberto Figueroa
Journal:  Biomech Model Mechanobiol       Date:  2015-09-28

Review 10.  A Review of Computational Methods to Predict the Risk of Rupture of Abdominal Aortic Aneurysms.

Authors:  Tejas Canchi; S D Kumar; E Y K Ng; Sriram Narayanan
Journal:  Biomed Res Int       Date:  2015-10-05       Impact factor: 3.411

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