Background: Computer-based simulation is necessary to clarify the hemodynamics in brain aneurysm. Specifically for endovascular treatments, the effects of indwelling intravascular devices on blood stream need to be considered. The most recent technology used for cerebral aneurysm treatment is related to the use of flow diverters to reduce the amount of flow entering the aneurysm. To verify the differences of flow reduction, we analyzed multiple Enterprise stents and two kinds of flow diverters.
Materials And Methods: In this research, we virtually modeled three kinds of commercial intracranial stents (Enterprise, Silk, and Pipeline) and mounted to fit into the vessel wall, and deployed across the neck of an IC-ophthalmic artery aneurysm. Also, we compared the differences among multiple Enterprise stents and two flow diverters in a standalone mode.
Results: From the numerical results, the values of wall shear stress and pressure are reduced in proportion to the size of mesh, especially in the inflow area. However, the reduced velocity within the aneurysm sac by the multiple stents is not as significant as the flow diverters.
Conclusions: This is the first study analyzing the flow alterations among multiple Enterprise stents and flow diverters. The placement of small meshed stents dramatically reduced the aneurysmal fluid movement. However, compared to the flow diverters, we did not observe the reduction of flow velocity within the aneurysm by the multiple stents.
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http://dx.doi.org/10.4103/1793-5482.106643 | DOI Listing |
Clin Neuroradiol
January 2025
Department of Neuroradiology, The Walton Centre for Neurology and Neurosurgery, Liverpool, UK.
Purpose: The aim of our study was to assess the mid-term efficacy and safety of the FRED X flow diverting stent (FDS) in the treatment of intracranial aneurysms. The FRED X FDS is relatively new with limited data on its longer-term effectiveness and safety profile.
Methods: Patients with intracranial aneurysms treated with the FRED X FDS at two UK centres, between March 2021 and July 2022 with at least 18 months follow-up, were retrospectively reviewed.
Front Neurol
January 2025
Department of Interventional Radiology, University Hospital St. Ivan Rilski, Sofia, Bulgaria.
Introduction: In the past decade, flow diverters (FDs) have increasingly been used to treat cerebral aneurysms with unfavorable morphology in which other endovascular techniques fall short of being as effective. In-stent stenosis (ISS) is one of the most puzzling and frequent risks of flow diversion therapy observed on follow-ups. This complication, although mostly placid in its clinical course, can have dire consequences if patients become symptomatic.
View Article and Find Full Text PDFJ Neurointerv Surg
January 2025
Department of Neuroradiology, University Medical Center of Johannes Gutenberg University Mainz, Mainz, Germany.
Background: Intrasaccular devices are increasingly used in endovascular therapy of intracranial aneurysms, in particular wide-necked and ruptured aneurysms. The Trenza Embolization Device (TED) is an innovative intrasaccular device for medium- to large-sized aneurysms. Currently, literature about the TED is scarce.
View Article and Find Full Text PDFJ Neurointerv Surg
January 2025
Neuroradiology, Université Reims-Champagne-Ardenne, Hôpital Maison Blanche, Reims, France
Background: This study assessed caliber and flow changes of covered cortical middle cerebral artery (MCA) branches using the new Caliber-Flow Status Scale (CFSS), postoperative diffusion-weighted imaging (DWI) lesions, and clinical outcome following flow diverter (FD) treatment of MCA aneurysms.
Methods: This single-center retrospective study collected data from patients treated with FD between January 2016 and March 2024, including patient characteristics, aneurysm features, postoperative DWI lesions, and clinical outcomes. Vessel status was assessed using CFSS: 1a (normal caliber and flow), 1b (normal caliber, reduced flow), 2a (reduced caliber, normal flow), 2b (reduced caliber and flow), and 3 (occlusion).
World Neurosurg
January 2025
Centre for Computational Imaging and Modelling in Medicine (CIMIM), University of Manchester, Manchester, United Kingdom.
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