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PMID: 34195929 Published · ppublish English Journal Article

Intra-saccular device modeling for treatment planning of intracranial aneurysms: from morphology to hemodynamics.

International journal of computer assisted radiology and surgery ·Vol. 16 ·No. 10 ·2021-10-00 ·页码 1663-1673

Dazeo N, Muñoz R, Narata AP, Fernandez H, Larrabide I

Abstract

Intra-saccular devices (ID), developed for the treatment of bifurcation aneurysms, offer new alternatives for treating complex terminal and bifurcation aneurysms. In this work, a complete workflow going from medical images to post-treatment CFD analysis is described and used in the assessment of a concrete clinical problem. Two different intra-saccular device sizes were virtually implanted in 3D models of the patient vasculature using the ID-Fit method. After deployment, the local porosity at the closed end of the device in contact with the blood flow was computed. This porosity was then used to produce a CFD porous medium model of the device. Velocities and wall shear stress were assessed for each model. Six patients treated with intra-saccular devices were included in this work. For each case, 2 different device sizes were virtually implanted and 3 CFD simulations were performed: after deployment simulation with each size and before deployment simulation (untreated). A visible reduction in velocities was observed after device implantation. Velocity and WSS reduction was statistically significant (K-S statistics, [Formula: see text]). Placement of different device size can lead to a partial filling of the aneurysm, either at the dome or at the neck, depending on the particular positioning by the interventionist. The methodology used in this work can have a strong clinical impact, since it provides additional information in the process of device selection using preoperative data.

Keywords
Aneurysm Intra-saccular device Porous media
MeSH 主题词
Computer Simulation Hemodynamics Humans Intracranial Aneurysm/diagnostic imaging,surgery Models, Cardiovascular Stress, Mechanical
作者与单位
共 5 位作者,点击展开单位 / ORCID
Dazeo Nicolás ORCID
Instituto Pladema - CONICET, Universidad Nacional del Centro de la Provincia de Buenos Aires, Tandil, Argentina. [email protected].
Muñoz Romina
Instituto Pladema - CONICET, Universidad Nacional del Centro de la Provincia de Buenos Aires, Tandil, Argentina.
Narata Ana Paula
Neuroradiology Department, University Hospital of Southampton, Southampton, UK.
Fernandez Hector
Galgo Medical S.L., Barcelona, Spain.
Larrabide Ignacio
Instituto Pladema - CONICET, Universidad Nacional del Centro de la Provincia de Buenos Aires, Tandil, Argentina. | Galgo Medical S.L., Barcelona, Spain.
Article Info
Journal
International journal of computer assisted radiology and surgery
Abbr.
Int J Comput Assist Radiol Surg
ISSN
1861-6429
Corresponding email
Published
2021-10-00
电子出版
2021-00-30
页码
1663-1673
Language
English
Country/Region
Germany
NLM ID
101499225
基金资助
Agencia Nacional de Promoción Científica y Tecnológica (AR) · PICT 2016-0116
Analysis Services
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