Literature DB >> 19195658

Can temporal fluctuation in spatial wall shear stress gradient initiate a cerebral aneurysm? A proposed novel hemodynamic index, the gradient oscillatory number (GON).

Yuji Shimogonya1, Takuji Ishikawa, Yohsuke Imai, Noriaki Matsuki, Takami Yamaguchi.   

Abstract

We propose a new hemodynamic index for the initiation of a cerebral aneurysm, defined by the temporal fluctuations of tension/compression forces acting on endothelial cells. We employed a patient-specific geometry of a human internal carotid artery (ICA) with an aneurysm, and reconstructed the geometry of the ICA before aneurysm formation by artificially removing the aneurysm. We calculated the proposed hemodynamic index and five other hemodynamic indices (wall shear stress (WSS) at peak systole, time-averaged WSS, time-averaged spatial WSS gradient, oscillatory shear index (OSI), and potential aneurysm formation indicator (AFI)) for the geometry before aneurysm formation using a computational fluid dynamics technique. By comparing the distribution of each index at the location of aneurysm formation, we discussed the validity of each. The results showed that only the proposed hemodynamic index had a significant correlation with the location of aneurysm formation. Our findings suggest that the proposed index may be useful as a hemodynamic index for the initiation of cerebral aneurysms.

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Year:  2009        PMID: 19195658     DOI: 10.1016/j.jbiomech.2008.10.006

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


  22 in total

Review 1.  Computational fluid dynamics in brain aneurysms.

Authors:  Daniel M Sforza; Christopher M Putman; Juan R Cebral
Journal:  Int J Numer Method Biomed Eng       Date:  2011-11-28       Impact factor: 2.747

2.  Point: CFD--computational fluid dynamics or confounding factor dissemination.

Authors:  D F Kallmes
Journal:  AJNR Am J Neuroradiol       Date:  2012-01-19       Impact factor: 3.825

3.  Characterizations and Correlations of Wall Shear Stress in Aneurysmal Flow.

Authors:  Amirhossein Arzani; Shawn C Shadden
Journal:  J Biomech Eng       Date:  2016-01       Impact factor: 2.097

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

Authors:  Hafez Asgharzadeh; Hossein Asadi; Hui Meng; Iman Borazjani
Journal:  Phys Fluids (1994)       Date:  2019-03-26       Impact factor: 3.521

5.  Patient-specific multiscale modeling of blood flow for coronary artery bypass graft surgery.

Authors:  Sethuraman Sankaran; Mahdi Esmaily Moghadam; Andrew M Kahn; Elaine E Tseng; Julius M Guccione; Alison L Marsden
Journal:  Ann Biomed Eng       Date:  2012-04-27       Impact factor: 3.934

6.  Transitional flow in aneurysms and the computation of haemodynamic parameters.

Authors:  Christian Poelma; Paul N Watton; Yiannis Ventikos
Journal:  J R Soc Interface       Date:  2015-04-06       Impact factor: 4.118

7.  Wall shear stress distribution inside growing cerebral aneurysm.

Authors:  T Tanoue; S Tateshima; J P Villablanca; F Viñuela; K Tanishita
Journal:  AJNR Am J Neuroradiol       Date:  2011-10       Impact factor: 3.825

8.  Evaluation of magnetic resonance angiography as a possible alternative to rotational angiography or computed tomography angiography for assessing cerebrovascular computational fluid dynamics.

Authors:  Yuya Yoneyama; Haruo Isoda; Kenta Ishiguro; Masaki Terada; Masaki Kamiya; Kenichi Otsubo; Roshani Perera; Takashi Mizuno; Atsushi Fukuyama; Kazuya Takiguchi; Tomoya Watanabe; Takafumi Kosugi; Yoshiaki Komori; Shinji Naganawa
Journal:  Phys Eng Sci Med       Date:  2020-10-12

9.  Hemodynamic vascular biomarkers for initiation of paraclinoid internal carotid artery aneurysms using patient-specific computational fluid dynamic simulation based on magnetic resonance imaging.

Authors:  Tomoya Watanabe; Haruo Isoda; Yasuo Takehara; Masaki Terada; Takehiro Naito; Takafumi Kosugi; Yuki Onishi; Chiharu Tanoi; Takashi Izumi
Journal:  Neuroradiology       Date:  2018-03-08       Impact factor: 2.804

Review 10.  Suggested connections between risk factors of intracranial aneurysms: a review.

Authors:  Juan R Cebral; Marcelo Raschi
Journal:  Ann Biomed Eng       Date:  2012-12-14       Impact factor: 3.934

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