Literature DB >> 30967745

A non-dimensional parameter for classification of the flow in intracranial aneurysms. II. Patient-specific geometries.

Hafez Asgharzadeh1, Hossein Asadi2, Hui Meng1, Iman Borazjani.   

Abstract

A simple parameter, called the Aneurysm number (An) which is defined as the ratio of transport to vortex time scales, has been shown to classify the flow mode in simplified aneurysm geometries. Our objective is to test the hypothesis that An can classify the flow in patient-specific intracranial aneurysms (IA). Therefore, the definition of this parameter is extended to anatomic geometries by using hydraulic diameter and the length of expansion area in the approximate direction of the flow. The hypothesis is tested using image-based flow simulations in five sidewall and four bifurcation geometries, i.e., if An ≲ 1 (shorter transport time scale), then the fluid is transported across the neck before the vortex could be formed, creating a quasi-stationary shear layer (cavity mode). By contrast, if An ≳ 1 (shorter vortex time scale), a vortex is formed. The results show that if An switches from An ≲ 1 to An ≳ 1, then the flow mode switches from the cavity mode to the vortex mode. However, if An does not switch, then the IAs stay in the same mode. It is also shown that IAs in the cavity mode have significantly lower An, temporal fluctuations of wall shear stress and oscillatory shear index (OSI) compared to the vortex mode (p < 0.01). In addition, OSI correlates with An in each flow mode and with pulsatility index in each IA. This suggests An to be a viable hemodynamic parameter which can be easily calculated without the need for detailed flow measurements/ simulations.

Entities:  

Year:  2019        PMID: 30967745      PMCID: PMC6436177          DOI: 10.1063/1.5081451

Source DB:  PubMed          Journal:  Phys Fluids (1994)        ISSN: 1070-6631            Impact factor:   3.521


  53 in total

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2.  Numerical investigation of the hydrodynamics of carangiform swimming in the transitional and inertial flow regimes.

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3.  Characterization of cerebral aneurysms for assessing risk of rupture by using patient-specific computational hemodynamics models.

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Journal:  AJNR Am J Neuroradiol       Date:  2005 Nov-Dec       Impact factor: 3.825

4.  Arterial pulsatility as an index of cerebral microangiopathy in diabetes.

Authors:  K Y Lee; Y H Sohn; J S Baik; G W Kim; J S Kim
Journal:  Stroke       Date:  2000-05       Impact factor: 7.914

5.  Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity.

Authors:  Juan R Cebral; Marcelo A Castro; Sunil Appanaboyina; Christopher M Putman; Daniel Millan; Alejandro F Frangi
Journal:  IEEE Trans Med Imaging       Date:  2005-04       Impact factor: 10.048

6.  Magnitude and role of wall shear stress on cerebral aneurysm: computational fluid dynamic study of 20 middle cerebral artery aneurysms.

Authors:  Masaaki Shojima; Marie Oshima; Kiyoshi Takagi; Ryo Torii; Motoharu Hayakawa; Kazuhiro Katada; Akio Morita; Takaaki Kirino
Journal:  Stroke       Date:  2004-11       Impact factor: 7.914

7.  Complex hemodynamics at the apex of an arterial bifurcation induces vascular remodeling resembling cerebral aneurysm initiation.

Authors:  Hui Meng; Zhijie Wang; Yiemeng Hoi; Ling Gao; Eleni Metaxa; Daniel D Swartz; John Kolega
Journal:  Stroke       Date:  2007-05-10       Impact factor: 7.914

8.  Aneurysm growth occurs at region of low wall shear stress: patient-specific correlation of hemodynamics and growth in a longitudinal study.

Authors:  Loic Boussel; Vitaliy Rayz; Charles McCulloch; Alastair Martin; Gabriel Acevedo-Bolton; Michael Lawton; Randall Higashida; Wade S Smith; William L Young; David Saloner
Journal:  Stroke       Date:  2008-08-07       Impact factor: 7.914

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Authors:  E A Finol; K Keyhani; C H Amon
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10.  Wall shear stress on ruptured and unruptured intracranial aneurysms at the internal carotid artery.

Authors:  L-D Jou; D H Lee; H Morsi; M E Mawad
Journal:  AJNR Am J Neuroradiol       Date:  2008-07-03       Impact factor: 3.825

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  4 in total

1.  A Simple Flow Classification Parameter Can Discriminate Rupture Status in Intracranial Aneurysms.

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Journal:  Neurosurgery       Date:  2020-10-15       Impact factor: 4.654

2.  Geometric determinants of local hemodynamics in severe carotid artery stenosis.

Authors:  Dara Azar; William M Torres; Lindsey A Davis; Taylor Shaw; John F Eberth; Vijaya B Kolachalama; Susan M Lessner; Tarek Shazly
Journal:  Comput Biol Med       Date:  2019-09-05       Impact factor: 4.589

3.  The effect of Dean, Reynolds, and Womersley number on the flow in a spherical cavity on a curved round pipe. Part 1. Fluid mechanics in the cavity as a canonical flow representing intracranial aneurysms.

Authors:  Fanette Chassagne; Michael C Barbour; Venkat K Chivukula; Nathanael Machicoane; Louis J Kim; Michael R Levitt; Alberto Aliseda
Journal:  J Fluid Mech       Date:  2021-03-31       Impact factor: 3.627

4.  On the accuracy of displacement-based wave intensity analysis: Effect of vessel wall viscoelasticity and nonlinearity.

Authors:  Jingyi Kang; Arian Aghilinejad; Niema M Pahlevan
Journal:  PLoS One       Date:  2019-11-01       Impact factor: 3.240

  4 in total

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