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

Authors :
Yoshihiro Okamoto
Katsuhiro Tanaka
Soichiro Fujimura
Simon Tupin
Takanobu Yagi
Masaaki Shojima
Kosuke Suzuki
Yutaro Kohata
Makoto Ohta
Hitomi Anzai
Mingzi Zhang
Institute of Fluid Sciences [Sendai] (IFS)
Tohoku University [Sendai]
Saitama Medical Center [Saitama, Japan]
Nagoya Institute of Technology (NIT)
ELyTMaX
École Centrale de Lyon (ECL)
Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Tohoku University [Sendai]-Centre National de la Recherche Scientifique (CNRS)
Source :
Journal of Neurointerventional Surgery, Journal of Neurointerventional Surgery, BMJ Journals, 2020, 13, pp.164-170. ⟨10.1136/neurintsurg-2020-016724⟩
Publication Year :
2020
Publisher :
BMJ, 2020.

Abstract

IntroductionDespite 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.MethodsA 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.ResultsWe 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, pConclusionsInflow 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.

Details

ISSN :
17598486 and 17598478
Volume :
13
Database :
OpenAIRE
Journal :
Journal of NeuroInterventional Surgery
Accession number :
edsair.doi.dedup.....a4bb686a61d272a3eb161a29717a4ade