Numerical simulation techniques to predict aneurysm recanalization after coil embolization and their problems

Q4 Engineering
S. Fujimura, M. Shojima, S. Nemoto, Yasuyuki Umeda, T. Yamada, Takumi Ishii, F. Wakabayashi
{"title":"Numerical simulation techniques to predict aneurysm recanalization after coil embolization and their problems","authors":"S. Fujimura, M. Shojima, S. Nemoto, Yasuyuki Umeda, T. Yamada, Takumi Ishii, F. Wakabayashi","doi":"10.17106/jbr.33.65","DOIUrl":null,"url":null,"abstract":"Various coil modeling techniques have been applied for computational fluid dynamics (CFD) analysis to predict recanalization after aneurysm coil embolization. Investigation on the technical difficulties and the effects on CFD analysis results when using the four main coil modeling methods (solid model, porous model, Dynamic Path Planning, finite element method (FEM) structural analysis) revealed that the expertise required for the analysis as well as the time needed for the analysis increased the more the results were realistic. In addition, by applying the four coil modeling methods to cases that actually underwent coil embolization surgery, hemodynamic factors such as blood flow velocity or mass flow rate were reported to have an effect on the occurrence of recanalization. It was also reported that the consideration of hemodynamic factors is useful for predicting recanalization. Although various validations are required, CFD analysis may be a useful tool for predicting recanalization of aneurysms after coil embolization in the future.","PeriodicalId":39272,"journal":{"name":"Journal of Biorheology","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biorheology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17106/jbr.33.65","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 1

Abstract

Various coil modeling techniques have been applied for computational fluid dynamics (CFD) analysis to predict recanalization after aneurysm coil embolization. Investigation on the technical difficulties and the effects on CFD analysis results when using the four main coil modeling methods (solid model, porous model, Dynamic Path Planning, finite element method (FEM) structural analysis) revealed that the expertise required for the analysis as well as the time needed for the analysis increased the more the results were realistic. In addition, by applying the four coil modeling methods to cases that actually underwent coil embolization surgery, hemodynamic factors such as blood flow velocity or mass flow rate were reported to have an effect on the occurrence of recanalization. It was also reported that the consideration of hemodynamic factors is useful for predicting recanalization. Although various validations are required, CFD analysis may be a useful tool for predicting recanalization of aneurysms after coil embolization in the future.
预测动脉瘤栓塞后再通的数值模拟技术及其问题
各种线圈建模技术已被应用于计算流体动力学(CFD)分析,以预测动脉瘤线圈栓塞后的再通。通过对四种主要线圈建模方法(实体模型、多孔模型、动态路径规划、有限元结构分析)的技术难点和对CFD分析结果的影响的调查发现,分析所需的专业知识和分析所需的时间越多,结果越真实。此外,通过将四种线圈建模方法应用于实际行线圈栓塞手术的病例,报道了血流速度或质量流率等血流动力学因素对再通发生的影响。也有报道称,考虑血流动力学因素对预测再通是有用的。虽然需要各种验证,但CFD分析可能是预测动脉瘤在线圈栓塞后再通的有用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Biorheology
Journal of Biorheology Engineering-Mechanical Engineering
CiteScore
0.50
自引率
0.00%
发文量
5
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信