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Computational Flow Dynamics of the Severe M1 Stenosis Before and After Stenting

PURPOSE: Computational flow dynamic (CFD) study has not been widely applied in intracranial artery stenosis due to requirement of high resolution in identifying the small intracranial artery. We described a process in CFD study applied to symptomatic severe intracranial (M1) stenosis before and afte...

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Autores principales: Suh, Dae Chul, Ko, Young Bae, Park, Sung-Tae, Yoon, Kyunghwan, Lim, Ok Kyun, Oh, Jin Sun, Jeong, Yun Gyeong, Kim, Jong Sung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Interventional Neuroradiology 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3214803/
https://www.ncbi.nlm.nih.gov/pubmed/22125742
http://dx.doi.org/10.5469/neuroint.2011.6.1.13
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author Suh, Dae Chul
Ko, Young Bae
Park, Sung-Tae
Yoon, Kyunghwan
Lim, Ok Kyun
Oh, Jin Sun
Jeong, Yun Gyeong
Kim, Jong Sung
author_facet Suh, Dae Chul
Ko, Young Bae
Park, Sung-Tae
Yoon, Kyunghwan
Lim, Ok Kyun
Oh, Jin Sun
Jeong, Yun Gyeong
Kim, Jong Sung
author_sort Suh, Dae Chul
collection PubMed
description PURPOSE: Computational flow dynamic (CFD) study has not been widely applied in intracranial artery stenosis due to requirement of high resolution in identifying the small intracranial artery. We described a process in CFD study applied to symptomatic severe intracranial (M1) stenosis before and after stenting. MATERIALS AND METHODS: Reconstructed 3D angiography in STL format was transferred to Magics (Materialise NV, Leuven, Belgium) for smoothing of vessel surface and trimming of branch vessels and to HyperMesh (Altair Engineering Inc., Auckland, New Zealand) for generating tetra volume mesh from triangular surface-meshed 3D angiogram. Computational analysis of blood flow in the blood vessels was performed using the commercial finite element software ADINA Ver 8.5 (ADINA R & D, Inc., Lebanon, MA). The distribution of wall shear stress (WSS), peak velocity and pressure in a patient was analyzed before and after intracranial stenting. RESULTS: Computer simulation of wall shear stress, flow velocity and wall pressure before and after stenting could be demonstrated three dimensionally by video mode according to flow vs. time dimension. Such flow model was well correlated with angiographic finding related to maximum degree of stenosis. Change of WSS, peak velocity and pressure at the severe stenosis was demonstrated before and after stenting. There was no WSS after stenting in case without residual stenosis. CONCLUSION: Our study revealed that CFD analysis before and after intracranial stenting was feasible despite of limited vessel wall dimension and could reveal change of WSS as well as flow velocity and wall pressure.
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spelling pubmed-32148032011-11-28 Computational Flow Dynamics of the Severe M1 Stenosis Before and After Stenting Suh, Dae Chul Ko, Young Bae Park, Sung-Tae Yoon, Kyunghwan Lim, Ok Kyun Oh, Jin Sun Jeong, Yun Gyeong Kim, Jong Sung Neurointervention Original Paper PURPOSE: Computational flow dynamic (CFD) study has not been widely applied in intracranial artery stenosis due to requirement of high resolution in identifying the small intracranial artery. We described a process in CFD study applied to symptomatic severe intracranial (M1) stenosis before and after stenting. MATERIALS AND METHODS: Reconstructed 3D angiography in STL format was transferred to Magics (Materialise NV, Leuven, Belgium) for smoothing of vessel surface and trimming of branch vessels and to HyperMesh (Altair Engineering Inc., Auckland, New Zealand) for generating tetra volume mesh from triangular surface-meshed 3D angiogram. Computational analysis of blood flow in the blood vessels was performed using the commercial finite element software ADINA Ver 8.5 (ADINA R & D, Inc., Lebanon, MA). The distribution of wall shear stress (WSS), peak velocity and pressure in a patient was analyzed before and after intracranial stenting. RESULTS: Computer simulation of wall shear stress, flow velocity and wall pressure before and after stenting could be demonstrated three dimensionally by video mode according to flow vs. time dimension. Such flow model was well correlated with angiographic finding related to maximum degree of stenosis. Change of WSS, peak velocity and pressure at the severe stenosis was demonstrated before and after stenting. There was no WSS after stenting in case without residual stenosis. CONCLUSION: Our study revealed that CFD analysis before and after intracranial stenting was feasible despite of limited vessel wall dimension and could reveal change of WSS as well as flow velocity and wall pressure. Korean Society of Interventional Neuroradiology 2011-02 2011-02-28 /pmc/articles/PMC3214803/ /pubmed/22125742 http://dx.doi.org/10.5469/neuroint.2011.6.1.13 Text en Copyright © 2011 Korean Society of Interventional Neuroradiology http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Paper
Suh, Dae Chul
Ko, Young Bae
Park, Sung-Tae
Yoon, Kyunghwan
Lim, Ok Kyun
Oh, Jin Sun
Jeong, Yun Gyeong
Kim, Jong Sung
Computational Flow Dynamics of the Severe M1 Stenosis Before and After Stenting
title Computational Flow Dynamics of the Severe M1 Stenosis Before and After Stenting
title_full Computational Flow Dynamics of the Severe M1 Stenosis Before and After Stenting
title_fullStr Computational Flow Dynamics of the Severe M1 Stenosis Before and After Stenting
title_full_unstemmed Computational Flow Dynamics of the Severe M1 Stenosis Before and After Stenting
title_short Computational Flow Dynamics of the Severe M1 Stenosis Before and After Stenting
title_sort computational flow dynamics of the severe m1 stenosis before and after stenting
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3214803/
https://www.ncbi.nlm.nih.gov/pubmed/22125742
http://dx.doi.org/10.5469/neuroint.2011.6.1.13
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