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Implementation of computer simulation to assess flow diversion treatment outcomes: systematic review and meta-analysis
INTRODUCTION: Despite a decade of research into virtual stent deployment and the post-stenting aneurysmal hemodynamics, the hemodynamic factors which correlate with successful treatment remain inconclusive. We aimed to examine the differences in various post-treatment hemodynamic parameters between...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7848055/ https://www.ncbi.nlm.nih.gov/pubmed/33097626 http://dx.doi.org/10.1136/neurintsurg-2020-016724 |
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author | Zhang, Mingzi Tupin, Simon Anzai, Hitomi Kohata, Yutaro Shojima, Masaaki Suzuki, Kosuke Okamoto, Yoshihiro Tanaka, Katsuhiro Yagi, Takanobu Fujimura, Soichiro Ohta, Makoto |
author_facet | Zhang, Mingzi Tupin, Simon Anzai, Hitomi Kohata, Yutaro Shojima, Masaaki Suzuki, Kosuke Okamoto, Yoshihiro Tanaka, Katsuhiro Yagi, Takanobu Fujimura, Soichiro Ohta, Makoto |
author_sort | Zhang, Mingzi |
collection | PubMed |
description | INTRODUCTION: Despite a decade of research into virtual stent deployment and the post-stenting aneurysmal hemodynamics, the hemodynamic factors which correlate with successful treatment remain inconclusive. We aimed to examine the differences in various post-treatment hemodynamic parameters between successfully and unsuccessfully treated cases, and to quantify the additional flow diversion achievable through stent compaction or insertion of a second stent. METHODS: A systematic review and meta-analysis were performed on eligible studies published from 2000 to 2019. We first classified cases according to treatment success (aneurysm occlusion) and then calculated the pooled standardized mean differences (SMD) of each available parameter to examine their association with clinical outcomes. Any additional flow diversion arising from the two common strategies for improving the stent wire density was quantified by pooling the results of such studies. RESULTS: We found that differences in the aneurysmal inflow rate (SMD −6.05, 95% CI −10.87 to −1.23, p=0.01) and energy loss (SMD −5.28, 95% CI −7.09 to −3.46, p<0.001) between the successfully and unsuccessfully treated groups were indicative of statistical significance, in contrast to wall shear stress (p=0.37), intra-aneurysmal average velocity (p=0.09), vortex core-line length (p=0.46), and shear rate (p=0.09). Compacting a single stent could achieve additional flow diversion comparable to that by dual-stent implantation. CONCLUSIONS: Inflow rate and energy loss have shown promise as identifiers to discriminate between successful and unsuccessful treatment, pending future research into their diagnostic performance to establish optimal cut-off values. |
format | Online Article Text |
id | pubmed-7848055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-78480552021-02-08 Implementation of computer simulation to assess flow diversion treatment outcomes: systematic review and meta-analysis Zhang, Mingzi Tupin, Simon Anzai, Hitomi Kohata, Yutaro Shojima, Masaaki Suzuki, Kosuke Okamoto, Yoshihiro Tanaka, Katsuhiro Yagi, Takanobu Fujimura, Soichiro Ohta, Makoto J Neurointerv Surg Hemorrhagic Stroke INTRODUCTION: Despite a decade of research into virtual stent deployment and the post-stenting aneurysmal hemodynamics, the hemodynamic factors which correlate with successful treatment remain inconclusive. We aimed to examine the differences in various post-treatment hemodynamic parameters between successfully and unsuccessfully treated cases, and to quantify the additional flow diversion achievable through stent compaction or insertion of a second stent. METHODS: A systematic review and meta-analysis were performed on eligible studies published from 2000 to 2019. We first classified cases according to treatment success (aneurysm occlusion) and then calculated the pooled standardized mean differences (SMD) of each available parameter to examine their association with clinical outcomes. Any additional flow diversion arising from the two common strategies for improving the stent wire density was quantified by pooling the results of such studies. RESULTS: We found that differences in the aneurysmal inflow rate (SMD −6.05, 95% CI −10.87 to −1.23, p=0.01) and energy loss (SMD −5.28, 95% CI −7.09 to −3.46, p<0.001) between the successfully and unsuccessfully treated groups were indicative of statistical significance, in contrast to wall shear stress (p=0.37), intra-aneurysmal average velocity (p=0.09), vortex core-line length (p=0.46), and shear rate (p=0.09). Compacting a single stent could achieve additional flow diversion comparable to that by dual-stent implantation. CONCLUSIONS: Inflow rate and energy loss have shown promise as identifiers to discriminate between successful and unsuccessful treatment, pending future research into their diagnostic performance to establish optimal cut-off values. BMJ Publishing Group 2021-02 2020-10-23 /pmc/articles/PMC7848055/ /pubmed/33097626 http://dx.doi.org/10.1136/neurintsurg-2020-016724 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Hemorrhagic Stroke Zhang, Mingzi Tupin, Simon Anzai, Hitomi Kohata, Yutaro Shojima, Masaaki Suzuki, Kosuke Okamoto, Yoshihiro Tanaka, Katsuhiro Yagi, Takanobu Fujimura, Soichiro Ohta, Makoto Implementation of computer simulation to assess flow diversion treatment outcomes: systematic review and meta-analysis |
title | Implementation of computer simulation to assess flow diversion treatment outcomes: systematic review and meta-analysis |
title_full | Implementation of computer simulation to assess flow diversion treatment outcomes: systematic review and meta-analysis |
title_fullStr | Implementation of computer simulation to assess flow diversion treatment outcomes: systematic review and meta-analysis |
title_full_unstemmed | Implementation of computer simulation to assess flow diversion treatment outcomes: systematic review and meta-analysis |
title_short | Implementation of computer simulation to assess flow diversion treatment outcomes: systematic review and meta-analysis |
title_sort | implementation of computer simulation to assess flow diversion treatment outcomes: systematic review and meta-analysis |
topic | Hemorrhagic Stroke |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7848055/ https://www.ncbi.nlm.nih.gov/pubmed/33097626 http://dx.doi.org/10.1136/neurintsurg-2020-016724 |
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