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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...

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Autores principales: Zhang, Mingzi, Tupin, Simon, Anzai, Hitomi, Kohata, Yutaro, Shojima, Masaaki, Suzuki, Kosuke, Okamoto, Yoshihiro, Tanaka, Katsuhiro, Yagi, Takanobu, Fujimura, Soichiro, Ohta, Makoto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
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.
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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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