Literature DB >> 29602477

Flow instability detected in ruptured versus unruptured cerebral aneurysms at the internal carotid artery.

Lijian Xu1, Fuyou Liang2, Lixu Gu3, Hao Liu4.   

Abstract

Flow instability has emerged as a new hemodynamic metric hypothesized to have potential value in assessing the rupture risk of cerebral aneurysms. However, diverse findings have been reported in the literature. In the present study, high-resolution hemodynamic simulations were performed retrospectively on 35 aneurysms (10 ruptured & 25 unruptured) located at the internal carotid artery (ICA). Simulated hemodynamic parameters were statistically compared between the ruptured and unruptured aneurysms, with emphasis on examining the correlation of flow instability with the status of aneurysm rupture. Pronounced flow instability was detected in 20% (2 out of 10) of the ruptured aneurysms, whereas in 44% (11 out of 25) of the unruptured aneurysms. Statistically, the flow instability metric (quantified by the temporally and spatially averaged fluctuating kinetic energy over the aneurysm sac) did not differ significantly between the ruptured and unruptured aneurysms. In contrast, low wall shear stress area (LSA) and pressure loss coefficient (PLC) exhibited significant correlations with the status of aneurysm rupture. In conclusion, the present study suggests that the presence of flow instability may not correlate closely with the status of aneurysm rupture, at least for ICA aneurysms. On the other hand, the retrospective nature of the study and the small sample size may have to some extent compromised the reliability of the conclusion, and therefore large-scale prospective studies would be needed to further address the issue.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cerebral aneurysm; Computational fluid dynamics; Flow instability; Internal carotid artery; Wall shear stress

Mesh:

Year:  2018        PMID: 29602477     DOI: 10.1016/j.jbiomech.2018.03.014

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


  7 in total

Review 1.  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
Journal:  J Cereb Blood Flow Metab       Date:  2019-06-18       Impact factor: 6.200

2.  Effect of hemodynamic changes on the risk of intracranial aneurysm rupture: a systematic review and meta-analysis.

Authors:  Aximujiang Axier; Nizamidingjiang Rexiati; Zengliang Wang; Xiaojiang Cheng; Riqing Su; Rexidan Aikeremu; Maimaitili Aisha
Journal:  Am J Transl Res       Date:  2022-07-15       Impact factor: 3.940

3.  An Integrated Model Combining Machine Learning and Deep Learning Algorithms for Classification of Rupture Status of IAs.

Authors:  Rong Chen; Xiao Mo; Zhenpeng Chen; Pujie Feng; Haiyun Li
Journal:  Front Neurol       Date:  2022-05-12       Impact factor: 4.086

4.  Multi-modality cerebral aneurysm haemodynamic analysis: in vivo 4D flow MRI, in vitro volumetric particle velocimetry and in silico computational fluid dynamics.

Authors:  Melissa C Brindise; Sean Rothenberger; Benjamin Dickerhoff; Susanne Schnell; Michael Markl; David Saloner; Vitaliy L Rayz; Pavlos P Vlachos
Journal:  J R Soc Interface       Date:  2019-09-11       Impact factor: 4.118

5.  Vertebral artery fusiform aneurysm geometry in predicting rupture risk.

Authors:  Xiukun Zhao; Nathan Gold; Yibin Fang; Shixin Xu; Yongxin Zhang; Jianmin Liu; Arvind Gupta; Huaxiong Huang
Journal:  R Soc Open Sci       Date:  2018-10-31       Impact factor: 2.963

6.  Numerical study on the energy cascade of pulsatile Newtonian and power-law flow models in an ICA bifurcation.

Authors:  Samar A Mahrous; Nor Azwadi Che Sidik; Khalid M Saqr
Journal:  PLoS One       Date:  2021-01-25       Impact factor: 3.240

7.  A Dissipation Function-Based Method for Calculating the Energy Loss of Intracranial Aneurysms.

Authors:  Xiao Mo; Hongshi Yu; Rong Chen; Zhenpeng Chen; Haiyun Li
Journal:  Front Neurol       Date:  2021-07-08       Impact factor: 4.003

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.