Literature DB >> 28539480

Identification of vortex structures in a cohort of 204 intracranial aneurysms.

Nicole Varble1,2, Gabriel Trylesinski1,2, Jianping Xiang2,3, Kenneth Snyder2,3,4, Hui Meng5,2,3,6.   

Abstract

An intracranial aneurysm (IA) is a cerebrovascular pathology that can lead to death or disability if ruptured. Abnormal wall shear stress (WSS) has been associated with IA growth and rupture, but little is known about the underlying flow physics related to rupture-prone IAs. Previous studies, based on analysis of a few aneurysms or partial views of three-dimensional vortex structures, suggest that rupture is associated with complex vortical flow inside IAs. To further elucidate the relevance of vortical flow in aneurysm pathophysiology, we studied 204 patient IAs (56 ruptured and 148 unruptured). Using objective quantities to identify three-dimensional vortex structures, we investigated the characteristics associated with aneurysm rupture and if these features correlate with previously proposed WSS and morphological characteristics indicative of IA rupture. Based on the Q-criterion definition of a vortex, we quantified the degree of the aneurysmal region occupied by vortex structures using the volume vortex fraction (vVF) and the surface vortex fraction (sVF). Computational fluid dynamics simulations showed that the sVF, but not the vVF, discriminated ruptured from unruptured aneurysms. Furthermore, we found that the near-wall vortex structures co-localized with regions of inflow jet breakdown, and significantly correlated to previously proposed haemodynamic and morphologic characteristics of ruptured IAs.
© 2017 The Author(s).

Entities:  

Keywords:  image-based computational fluid dynamics; intracranial aneurysms; rupture; vortex structures

Mesh:

Year:  2017        PMID: 28539480      PMCID: PMC5454289          DOI: 10.1098/rsif.2017.0021

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  45 in total

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4.  Quantified aneurysm shape and rupture risk.

Authors:  Madhavan L Raghavan; Baoshun Ma; Robert E Harbaugh
Journal:  J Neurosurg       Date:  2005-02       Impact factor: 5.115

5.  Guidelines for the management of aneurysmal subarachnoid hemorrhage: a guideline for healthcare professionals from the American Heart Association/american Stroke Association.

Authors:  E Sander Connolly; Alejandro A Rabinstein; J Ricardo Carhuapoma; Colin P Derdeyn; Jacques Dion; Randall T Higashida; Brian L Hoh; Catherine J Kirkness; Andrew M Naidech; Christopher S Ogilvy; Aman B Patel; B Gregory Thompson; Paul Vespa
Journal:  Stroke       Date:  2012-05-03       Impact factor: 7.914

6.  Newtonian viscosity model could overestimate wall shear stress in intracranial aneurysm domes and underestimate rupture risk.

Authors:  Jianping Xiang; Markus Tremmel; John Kolega; Elad I Levy; Sabareesh K Natarajan; Hui Meng
Journal:  J Neurointerv Surg       Date:  2011-09-19       Impact factor: 5.836

7.  Image-based computational simulation of flow dynamics in a giant intracranial aneurysm.

Authors:  David A Steinman; Jaques S Milner; Chris J Norley; Stephen P Lownie; David W Holdsworth
Journal:  AJNR Am J Neuroradiol       Date:  2003-04       Impact factor: 3.825

8.  Blood flow dynamics in patient-specific cerebral aneurysm models: the relationship between wall shear stress and aneurysm area index.

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9.  Blood flow and coherent vortices in the normal and aneurysmatic aortas: a fluid dynamical approach to intra-luminal thrombus formation.

Authors:  Jacopo Biasetti; Fazle Hussain; T Christian Gasser
Journal:  J R Soc Interface       Date:  2011-04-06       Impact factor: 4.118

10.  Vortex Analysis of Intra-Aneurismal Flow in Cerebral Aneurysms.

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Journal:  Comput Math Methods Med       Date:  2016-11-07       Impact factor: 2.238

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  11 in total

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Journal:  Phys Fluids (1994)       Date:  2019-03-26       Impact factor: 3.521

Review 2.  What does computational fluid dynamics tell us about intracranial aneurysms? A meta-analysis and critical review.

Authors:  Khalid M Saqr; Sherif Rashad; Simon Tupin; Kuniyasu Niizuma; Tamer Hassan; Teiji Tominaga; Makoto Ohta
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3.  Quantitative analysis of flow vortices: differentiation of unruptured and ruptured medium-sized middle cerebral artery aneurysms.

Authors:  K Sunderland; M Wang; A S Pandey; J Gemmete; Q Huang; A Goudge; J Jiang
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4.  Shared and Distinct Rupture Discriminants of Small and Large Intracranial Aneurysms.

Authors:  Nicole Varble; Vincent M Tutino; Jihnhee Yu; Ashish Sonig; Adnan H Siddiqui; Jason M Davies; Hui Meng
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Review 5.  Disturbed flow's impact on cellular changes indicative of vascular aneurysm initiation, expansion, and rupture: A pathological and methodological review.

Authors:  Kevin Sunderland; Jingfeng Jiang; Feng Zhao
Journal:  J Cell Physiol       Date:  2021-09-06       Impact factor: 6.384

6.  Computational Assessment of Hemodynamics Vortices Within the Cerebral Vasculature Using Informational Entropy.

Authors:  Kevin Sunderland; Feng Zhao; Jingfeng Jiang
Journal:  Methods Mol Biol       Date:  2022

7.  Effect of bifurcation in the hemodynamic changes and rupture risk of small intracranial aneurysm.

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Journal:  Neurosurg Rev       Date:  2020-08-16       Impact factor: 3.042

8.  Cell-resolved blood flow simulations of saccular aneurysms: effects of pulsatility and aspect ratio.

Authors:  B Czaja; G Závodszky; V Azizi Tarksalooyeh; A G Hoekstra
Journal:  J R Soc Interface       Date:  2018-09-26       Impact factor: 4.118

9.  A multi-modality approach for enhancing 4D flow magnetic resonance imaging via sparse representation.

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Review 10.  Emerging Microfluidic Approaches for Platelet Mechanobiology and Interplay With Circulatory Systems.

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Journal:  Front Cardiovasc Med       Date:  2021-11-25
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