Computational model to predict the efficiency of inferior vena cava filters to trap embolus
November 2016
The Pennsylvania State University, University Park, USA(1)
United States Food and Drug Administration, Silver Spring, USA(2)
United States Food and Drug Administration, Silver Spring, USA(2)
Pulmonary embolism (PE) occurs when an embolus occludes the blood flow in the lungs. When patients are irresponsive to anticoagulants, an inferior vena cava (IVC) filter may be placed to serve as a mechanical barrier to embolus passage but unfortunately, complications with IVC filters remain common. In the present study, the researchers aimed at building a computational model of embolus transport that could be used to help engineers and clinicians improve the performance of IVC filters. The developed model combines simulations of fluid dynamics and embolus transport while also resolving interactions between embolus and surroundings. The model was validated using literature data. Further, the researchers used the model for simulations of IVC efficiency with variations of different parameters such as filter geometry, placement, and embolus diameter. The computational tool should be refined in the future and used to investigate IVC filter design improvements and the effects of patient anatomy to improve performance.
A resolved two-way coupled CFD/6-DOF approach for predicting embolus transport and the embolus-trapping efficiency of IVC filters
Keefe B. Manning(1), Brent A. Craven(2)
Added on: 11-28-2021
[1] https://link.springer.com/article/10.1007%2Fs10237-016-0857-3[2] https://data.jrc.ec.europa.eu/dataset/20947a04-86ef-473f-8907-c658e4050c24
