Computational study on hemodynamic changes in patient-specific proximal neck angulation of abdominal aortic aneurysm with time-varying velocity.


Journal

Australasian physical & engineering sciences in medicine
ISSN: 1879-5447
Titre abrégé: Australas Phys Eng Sci Med
Pays: Netherlands
ID NLM: 8208130

Informations de publication

Date de publication:
Mar 2019
Historique:
received: 10 07 2018
accepted: 21 01 2019
pubmed: 15 2 2019
medline: 18 7 2019
entrez: 15 2 2019
Statut: ppublish

Résumé

Aneurysms are considered as a critical cardiovascular disease worldwide when they rupture. The clinical understanding of geometrical impact on the flow behaviour and biomechanics of abdominal aortic aneurysm (AAA) is progressively developing. Proximal neck angulations of AAAs are believed to influence the hemodynamic changes and wall shear stress (WSS) within AAAs. Our aim was to perform pulsatile simulations using computational fluid dynamics (CFD) for patient-specific geometry to investigate the influence of severe angular (≥ 60°) neck on AAA's hemodynamic and wall shear stress. The patient's geometrical characteristics were obtained from a computed tomography images database of AAA patients. The AAA geometry was reconstructed using Mimics software. In computational method, blood was assumed Newtonian fluid and an inlet varying velocity waveform in a cardiac cycle was assigned. The CFD study was performed with ANSYS software. The results of flow behaviours indicated that the blood flow through severe bending of angular neck leads to high turbulence and asymmetry of flows within the aneurysm sac resulting in blood recirculation. The high wall shear stress (WSS) occurred near the AAA neck and on surface of aneurysm sac. This study explained and showed flow behaviours and WSS progression within high angular neck AAA and risk prediction of abdominal aorta rupture. We expect that the visualization of blood flow and hemodynamic changes resulted from CFD simulation could be as an extra tool to assist clinicians during a decision making when estimation the risks of interventional procedures.

Identifiants

pubmed: 30762222
doi: 10.1007/s13246-019-00728-7
pii: 10.1007/s13246-019-00728-7
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

181-190

Subventions

Organisme : Researcher Links grant: The UK Department for Business, Energy and Industrial Strategy and Thailand Research Fund (TRF)
ID : ID 2017-RLTG8-10538 and TRF:PDG61W0013

Commentaires et corrections

Type : ErratumIn

Auteurs

Yousif A Algabri (YA)

Institute of Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, 6th floor, 100-year Building, Hatyai, Songkhla, 90110, Thailand.

Sorracha Rookkapan (S)

Department of Radiology, Faculty of Medicine, Prince of Songkla University, Hatyai, Songkhla, 90110, Thailand.

Vera Gramigna (V)

Neuroscience Research Center, University Magna Graecia, 88100, Catanzaro, Italy.

Daniel M Espino (DM)

Department of Mechanical Engineering, University of Birmingham, Birmingham, B15 2TT, UK.

Surapong Chatpun (S)

Institute of Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, 6th floor, 100-year Building, Hatyai, Songkhla, 90110, Thailand. surapong.c@psu.ac.th.

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Classifications MeSH