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Protocol for Relative Hydrodynamic Assessment of Tri-leaflet Polymer Valves
Published on: October 17, 2013
Hemodynamics of Flow Diverters.
Ronak Dholakia1, Chander Sadasivan1, David J Fiorella1
1Department of Neurological Surgery, Stony Brook University Medical Center, Stony Brook, NY 11794.
Flow diverters and stents significantly reduce blood flow in cerebral aneurysms. Lower porosity and higher pore density correlate with greater device efficacy in treating these dangerous arterial conditions.
Area of Science:
- Biomedical Engineering
- Neurosurgery
- Medical Devices
Background:
- Cerebral aneurysms are arterial wall bulges that can rupture, causing strokes.
- Endovascular treatment involves implanting flow diverters or stents to promote aneurysm thrombosis and healing.
- Device mesh structure, characterized by porosity and pore density, is crucial for efficacy.
Purpose of the Study:
- To evaluate the flow alteration induced by five commercial neurovascular devices in an idealized aneurysm model.
- To correlate device mesh characteristics (porosity, pore density) with their flow-mitigating efficacy.
- To inform future device design, treatment planning, and outcome prediction for cerebral aneurysms.
Main Methods:
- Comparison of flow alteration in an idealized sidewall aneurysm model with five commercial devices (Neuroform, Enterprise, LVIS, Pipeline, FRED).
- Quantification of intraneurysmal kinetic energy reduction.
- Analysis of device mesh porosity and pore density.
Main Results:
- All tested devices substantially reduced intraneurysmal kinetic energy compared to the non-stented case.
- Coarse-mesh stents reduced flow by 65-80%; fine-mesh flow diverters achieved near-complete stagnation (∼98%).
- A trend indicated greater efficacy with decreasing porosity and increasing pore density.
Conclusions:
- Device porosity and pore density are key factors influencing the hemodynamic effects of neurovascular devices on cerebral aneurysms.
- Standardized studies with large datasets are needed to reach consensus on optimal device selection and predict treatment outcomes.
- Incorporating biochemical variables may enhance the predictive value of future studies.
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