Abstract
Intrasaccular devices, like Woven EndoBridge (WEB), are novel braided devices employed for the treatment of aneurysms with a complex shape and location, mostly terminal aneurysms. Such aneurysms are often challenging or impossible to treat with other endovascular techniques such as coils, stents, flow diverter stents. The selection of an appropriate endosaccular device size is crucial for a successful treatment and strongly depends of the final configuration that the device adopts when it adapts to the aneurysm sac morphology. This is frequently a problem during the intervention, leading to replacement of the device, reopening of the aneurysm or a need for re-treatment. A technique that allows predicting the released WEB configuration before intervention will provide a powerful computational tool to aid the interventionist during device selection. We propose a technique based on device design and aneurysm morphology that, by virtually deploying a WEB, will enable the assessment of different device sizes before the device implantation. This technique was tested on 6 MCA aneurysm cases and the simulation results were compared to the size of the deployed device on the patient, using post-treatment images.
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Muñoz, R., Narata, A.P., Larrabide, I. (2020). ID-Fit: Intra-Saccular Device Adjustment for Personalized Cerebral Aneurysm Treatment. In: Martel, A.L., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. MICCAI 2020. Lecture Notes in Computer Science(), vol 12266. Springer, Cham. https://doi.org/10.1007/978-3-030-59725-2_10
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DOI: https://doi.org/10.1007/978-3-030-59725-2_10
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