Abstract

Microvascular decompression (MVD) has proven efficacy in trigeminal neuralgia (TN) and hemifacial spasm (HFS). This study utilized computational fluid dynamics (CFD) to investigate the impact of MVD on wall shear stress (WSS) of responsible arteries (RAs) at the neurovascular contact (NVC). A total of 21 cases (10 TN, 11 HFS) were analyzed, involving RAs at NVC validated through intraoperative photographs. Hemodynamic parameters (WSS, vessel diameter, flow rate, pressure drop) was calculated using CFD for the RAs based on 3D silent-magnetic resonance angiograms. The NVC was segmented into NVC-proximal, NVC-site, and NVC-distal portions using simulated 3D CFD images that correlated with surgical observations. WSS ratios of NVC-site to NVC-proximal (NVC-site/proximal) was calculated both before and after MVD. Prior to MVD, WSS in the RA at the NVC displayed a peaked curve with a maximum at NVC-site; however, post MVD, it presented a smooth curve without peaks. The WSS ratio exhibited a significant decrease after MVD. The impact of MVD on WSS of RAs at NVC was evaluated in both TN and HFS cases. Analyzing the hemodynamics of RAs through CFD and identifying WSS peaks at NVC portions before MVD provided a more detailed and localized understanding of the morphologically depicted NVC.

Details

Title
Impact of microvascular decompression on wall shear stress in responsible arteries in trigeminal neuralgia and hemifacial spasm
Author
Satoh, Toru 1 ; Sawada, Yoichi 2 ; Date, Isao 3 ; Yasuhara, Takao 3 ; Fujii, Kentaro 3 

 Ryofukai Satoh Neurosurgical Hospital, Department of Neurological Surgery, Fukuyama, Japan (GRID:grid.482582.1) 
 Okayama Prefectural University, Department of Contemporary Welfare, Faculty of Health and Welfare, Okayama, Japan (GRID:grid.412338.f) (ISNI:0000 0004 0641 4714) 
 Okayama University Graduate School of Medicine, Department of Neurological Surgery, Okayama, Japan (GRID:grid.261356.5) (ISNI:0000 0001 1302 4472) 
Pages
22231
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3110582133
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.