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  • Finite Element Modeling of Endovascular Cerebral Aneurysm Treatments Using Flow Diverters

    Final Number:

    M. Yashar S. Kalani MD PhD; Haithem Babiker; Brian Chong; Michael Robert Levitt MD; Cameron G. McDougall MD; David H. Frakes PhD; Felipe Albuquerque MD

    Study Design:
    Laboratory Investigation

    Subject Category:

    Meeting: Congress of Neurological Surgeons 2015 Annual Meeting

    Introduction: We present a novel method based on finite element modeling that incorporates the structure and deployment mechanics of endovascular devices to simulate patient-specific cerebral aneurysm treatments using the pipeline flow diverting device.

    Methods: Finite element (FE) computational models of the pipeline embolization device (PED) were modeled using micro CT. Mechanical bench-top measurements of the physical devices were used to validate the computational models. Simulated deployments and fluid dynamics were validated against physical deployments and flow measurements in models. Validation against clinical deployments will be presented.

    Results: We obtained excellent agreement between simulated and physical deployments in the urethane models, with less than an 11% difference between post-deployment computational and physical device diameter and cross-sectional area along the stent centerline. Figures 1-3 demonstrate examples of modeled deployments.

    Conclusions: Our novel computational model based on finite element modeling can greatly enhance efficacy of flow diverter placement while increasing the safety margin of the procedures.

    Patient Care: Our research allows for simulation of aneurysm treatment prior to actual delivery of endovascular devices. This technology is likely to increase the margin of safety for patients with difficult to treat lesions.

    Learning Objectives: To discuss the utility of finite element modeling in the treatment of cerebral aneurysms using flow diverting stents.


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