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Implementation of computer simulation to assess flow diversion treatment outcomes: systematic review and meta- analysis.

Authors :
Mingzi Zhang
Simon Tupin
Hitomi Anzai
Yutaro Kohata
Masaaki Shojima
Kosuke Suzuki
Yoshihiro Okamoto
Katsuhiro Tanaka
Takanobu Yagi
Soichiro Fujimura
Makoto Ohta
Source :
Journal of NeuroInterventional Surgery; Feb2021, Vol. 13 Issue 2, p164-170, 8p
Publication Year :
2021

Abstract

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 dualstent 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17598478
Volume :
13
Issue :
2
Database :
Complementary Index
Journal :
Journal of NeuroInterventional Surgery
Publication Type :
Academic Journal
Accession number :
148348013
Full Text :
https://doi.org/10.1136/neurintsurg-2020-016724