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A multidimensional pre-operative planning method of unruptured vertebral artery dissecting aneurysms using three-dimensional AWE mapping and hemodynamic simulation.

Authors :
Zhang J
Dai Z
Wang T
Zeng Y
Wei J
Zou R
Leng X
Xiang J
Zhou S
Source :
Clinical neurology and neurosurgery [Clin Neurol Neurosurg] 2024 Aug; Vol. 243, pp. 108398. Date of Electronic Publication: 2024 Jun 15.
Publication Year :
2024

Abstract

Objective: High-resolution magnetic resonance imaging (HR-MRI) can provide valuable insights into the evaluation of vascular pathological conditions, and 3D digital subtraction angiography (3D-DSA) offers clear visualization of the vascular morphology and hemodynamics. This study aimed to investigate the potential of a multimodal method to treat unruptured vertebral artery dissection aneurysms (u-VADAs) by fusing image data from HR-MRI and 3D-DSA.<br />Methods: This observational study enrolled 5 patients diagnosed with u-VADAs, who were scheduled for interventional treatment. The image data of HR-MRI and 3D-DSA were merged by geometry software, resulting in a multimodal model. Quantified values of aneurysm wall enhancement (AWE), wall shear stress (WSS), neck velocity, inflow volume, intra-stent flow velocity (ISvelocity), and intra-aneurysmal velocity (IAvelocity) were calculated from the multimodal method.<br />Results: We found the actual lengths of u-VADAs in the multimodal model were longer than the 3D-DSA model. We formulated surgical plannings based on the WSS, IA velocity, and neck velocity. The post-operative value of IAvelocity, neck velocity, and follow-up quantified values of AWE were decreased compared with the pre-operative condition. After that, u-VADAs were complete occlusion in four patients and near-complete occlusion in one patient during the 6th-month follow-up after surgery.<br />Conclusion: The multidimensional method combining HR-MRI with 3D-DSA may provide more valuable information for treating VADAs, with the potential to develop effective surgical planning.<br /> (Copyright © 2024. Published by Elsevier B.V.)

Details

Language :
English
ISSN :
1872-6968
Volume :
243
Database :
MEDLINE
Journal :
Clinical neurology and neurosurgery
Publication Type :
Academic Journal
Accession number :
38908320
Full Text :
https://doi.org/10.1016/j.clineuro.2024.108398