Literature DB >> 21256491

Investigation of hemodynamics in the development of dissecting aneurysm within patient-specific dissecting aneurismal aortas using computational fluid dynamics (CFD) simulations.

Kwong Ming Tse1, Peixuan Chiu, Heow Pueh Lee, Pei Ho.   

Abstract

Aortic dissecting aneurysm is one of the most catastrophic cardiovascular emergencies that carries high mortality. It was pointed out from clinical observations that the aneurysm development is likely to be related to the hemodynamics condition of the dissected aorta. In order to gain more insight on the formation and progression of dissecting aneurysm, hemodynamic parameters including flow pattern, velocity distribution, aortic wall pressure and shear stress, which are difficult to measure in vivo, are evaluated using numerical simulations. Pulsatile blood flow in patient-specific dissecting aneurismal aortas before and after the formation of lumenal aneurysm (pre-aneurysm and post-aneurysm) is investigated by computational fluid dynamics (CFD) simulations. Realistic time-dependent boundary conditions are prescribed at various arteries of the complete aorta models. This study suggests the helical development of false lumen around true lumen may be related to the helical nature of hemodynamic flow in aorta. Narrowing of the aorta is responsible for the massive recirculation in the poststenosis region in the lumenal aneurysm development. High pressure difference of 0.21 kPa between true and false lumens in the pre-aneurismal aorta infers the possible lumenal aneurysm site in the descending aorta. It is also found that relatively high time-averaged wall shear stress (in the range of 4-8 kPa) may be associated with tear initiation and propagation. CFD modeling assists in medical planning by providing blood flow patterns, wall pressure and wall shear stress. This helps to understand various phenomena in the development of dissecting aneurysm.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21256491     DOI: 10.1016/j.jbiomech.2010.12.014

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


  31 in total

Review 1.  Contemporary Role of Computational Analysis in Endovascular Treatment for Thoracic Aortic Disease.

Authors:  Guido H W van Bogerijen; Jip L Tolenaar; Michele Conti; Ferdinando Auricchio; Francesco Secchi; Francesco Sardanelli; Frans L Moll; Joost A van Herwaarden; Vincenzo Rampoldi; Santi Trimarchi
Journal:  Aorta (Stamford)       Date:  2013-08-01

2.  The risk of stanford type-A aortic dissection with different tear size and location: a numerical study.

Authors:  Yue Shi; Minjia Zhu; Yu Chang; Huanyu Qiao; Yongmin Liu
Journal:  Biomed Eng Online       Date:  2016-12-28       Impact factor: 2.819

3.  A Distributed Lumped Parameter Model of Blood Flow.

Authors:  Mehran Mirramezani; Shawn C Shadden
Journal:  Ann Biomed Eng       Date:  2020-07-01       Impact factor: 3.934

Review 4.  Review of numerical methods for simulation of mechanical heart valves and the potential for blood clotting.

Authors:  Mohamad Shukri Zakaria; Farzad Ismail; Masaaki Tamagawa; Ahmad Fazli Abdul Aziz; Surjatin Wiriadidjaja; Adi Azrif Basri; Kamarul Arifin Ahmad
Journal:  Med Biol Eng Comput       Date:  2017-07-26       Impact factor: 2.602

5.  The effect of inlet and outlet boundary conditions in image-based CFD modeling of aortic flow.

Authors:  Sudharsan Madhavan; Erica M Cherry Kemmerling
Journal:  Biomed Eng Online       Date:  2018-05-30       Impact factor: 2.819

6.  Importance of dynamic aortic evaluation in planning TEVAR.

Authors:  Guido H W van Bogerijen; Joost A van Herwaarden; Michele Conti; Ferdinando Auricchio; Vincenzo Rampoldi; Santi Trimarchi; Frans L Moll
Journal:  Ann Cardiothorac Surg       Date:  2014-05

Review 7.  Possible mechanical roles of glycosaminoglycans in thoracic aortic dissection and associations with dysregulated transforming growth factor-β.

Authors:  J D Humphrey
Journal:  J Vasc Res       Date:  2012-09-25       Impact factor: 1.934

8.  Biomechanical roles of medial pooling of glycosaminoglycans in thoracic aortic dissection.

Authors:  Sara Roccabianca; Gerard A Ateshian; Jay D Humphrey
Journal:  Biomech Model Mechanobiol       Date:  2013-03-15

9.  The concept of aortic replacement based on computational fluid dynamic analysis: patient-directed aortic replacement.

Authors:  Laurant Heim; Robert J Poole; Richard Warwick; Michael Poullis
Journal:  Interact Cardiovasc Thorac Surg       Date:  2013-02-13

10.  Experimental Validation of Enhanced Magnetic Resonance Imaging (EMRI) Using Particle Image Velocimetry (PIV).

Authors:  Giacomo Annio; Ryo Torii; Andrea Ducci; Vivek Muthurangu; Victor Tsang; Gaetano Burriesci
Journal:  Ann Biomed Eng       Date:  2021-06-28       Impact factor: 3.934

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