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Phantom-based experimental validation of fast virtual deployment of self-expandable stents for cerebral aneurysms

BACKGROUND: Endovascular intervention using a stent is a mainstream treatment for cerebral aneurysms. To assess the effect of intervention strategies on aneurysm hemodynamics, we have developed a fast virtual stenting (FVS) technique to simulate stent deployment in patient-specific aneurysms. Howeve...

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Autores principales: Zhang, Qianqian, Meng, Zhuangyuan, Zhang, Ying, Yao, Kai, Liu, Jian, Zhang, Yisen, Jing, Linkai, Yang, Xinjian, Paliwal, Nikhil, Meng, Hui, Wang, Shengzhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5260011/
https://www.ncbi.nlm.nih.gov/pubmed/28155680
http://dx.doi.org/10.1186/s12938-016-0250-6
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author Zhang, Qianqian
Meng, Zhuangyuan
Zhang, Ying
Yao, Kai
Liu, Jian
Zhang, Yisen
Jing, Linkai
Yang, Xinjian
Paliwal, Nikhil
Meng, Hui
Wang, Shengzhang
author_facet Zhang, Qianqian
Meng, Zhuangyuan
Zhang, Ying
Yao, Kai
Liu, Jian
Zhang, Yisen
Jing, Linkai
Yang, Xinjian
Paliwal, Nikhil
Meng, Hui
Wang, Shengzhang
author_sort Zhang, Qianqian
collection PubMed
description BACKGROUND: Endovascular intervention using a stent is a mainstream treatment for cerebral aneurysms. To assess the effect of intervention strategies on aneurysm hemodynamics, we have developed a fast virtual stenting (FVS) technique to simulate stent deployment in patient-specific aneurysms. However, quantitative validation of the FVS against experimental data has not been fully addressed. In this study, we performed in vitro analysis of a patient-specific model to illustrate the realism and usability of this novel FVS technique. METHODS: We selected a patient-specific aneurysm and reproduced it in a manufactured realistic aneurismal phantom. Three numerical simulation models of the aneurysm with an Enterprise stent were constructed. Three models were constructed to obtain the stented aneurysms: a physical phantom scanned by micro-CT, fast virtual stenting technique and finite element method. The flow in the three models was simulated using a computational fluid dynamics software package, and the hemodynamics parameters for the three models were calculated and analyzed. RESULTS: The computational hemodynamics in the patient-specific aneurysm of the three models resembled the very well. A qualitative comparison revealed high similarity in the wall shear stress, streamline, and velocity plane among the three different methods. Quantitative comparisons revealed that the difference ratios of the hemodynamic parameters were less than 10%, with the difference ratios for area average of wall shear stress in the aneurysm being very low. CONCLUSIONS: In conclusion, the results of the computational hemodynamics indicate that FVS is suitable for evaluation of the hemodynamic factors that affect treatment outcomes.
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spelling pubmed-52600112017-01-26 Phantom-based experimental validation of fast virtual deployment of self-expandable stents for cerebral aneurysms Zhang, Qianqian Meng, Zhuangyuan Zhang, Ying Yao, Kai Liu, Jian Zhang, Yisen Jing, Linkai Yang, Xinjian Paliwal, Nikhil Meng, Hui Wang, Shengzhang Biomed Eng Online Research BACKGROUND: Endovascular intervention using a stent is a mainstream treatment for cerebral aneurysms. To assess the effect of intervention strategies on aneurysm hemodynamics, we have developed a fast virtual stenting (FVS) technique to simulate stent deployment in patient-specific aneurysms. However, quantitative validation of the FVS against experimental data has not been fully addressed. In this study, we performed in vitro analysis of a patient-specific model to illustrate the realism and usability of this novel FVS technique. METHODS: We selected a patient-specific aneurysm and reproduced it in a manufactured realistic aneurismal phantom. Three numerical simulation models of the aneurysm with an Enterprise stent were constructed. Three models were constructed to obtain the stented aneurysms: a physical phantom scanned by micro-CT, fast virtual stenting technique and finite element method. The flow in the three models was simulated using a computational fluid dynamics software package, and the hemodynamics parameters for the three models were calculated and analyzed. RESULTS: The computational hemodynamics in the patient-specific aneurysm of the three models resembled the very well. A qualitative comparison revealed high similarity in the wall shear stress, streamline, and velocity plane among the three different methods. Quantitative comparisons revealed that the difference ratios of the hemodynamic parameters were less than 10%, with the difference ratios for area average of wall shear stress in the aneurysm being very low. CONCLUSIONS: In conclusion, the results of the computational hemodynamics indicate that FVS is suitable for evaluation of the hemodynamic factors that affect treatment outcomes. BioMed Central 2016-12-28 /pmc/articles/PMC5260011/ /pubmed/28155680 http://dx.doi.org/10.1186/s12938-016-0250-6 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Zhang, Qianqian
Meng, Zhuangyuan
Zhang, Ying
Yao, Kai
Liu, Jian
Zhang, Yisen
Jing, Linkai
Yang, Xinjian
Paliwal, Nikhil
Meng, Hui
Wang, Shengzhang
Phantom-based experimental validation of fast virtual deployment of self-expandable stents for cerebral aneurysms
title Phantom-based experimental validation of fast virtual deployment of self-expandable stents for cerebral aneurysms
title_full Phantom-based experimental validation of fast virtual deployment of self-expandable stents for cerebral aneurysms
title_fullStr Phantom-based experimental validation of fast virtual deployment of self-expandable stents for cerebral aneurysms
title_full_unstemmed Phantom-based experimental validation of fast virtual deployment of self-expandable stents for cerebral aneurysms
title_short Phantom-based experimental validation of fast virtual deployment of self-expandable stents for cerebral aneurysms
title_sort phantom-based experimental validation of fast virtual deployment of self-expandable stents for cerebral aneurysms
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5260011/
https://www.ncbi.nlm.nih.gov/pubmed/28155680
http://dx.doi.org/10.1186/s12938-016-0250-6
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