In Silico Hemodynamics and Filtering Evaluation of a Commercial Embolic Protection Device
Annals of Biomedical Engineering, ISSN: 1573-9686, Vol: 49, Issue: 9, Page: 2659-2670
2021
- 3Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures3
- Readers3
Article Description
During the last years, several kinds of Embolic Protection Devices (EPD) have been developed, with the aim of minimizing complication caused by thrombi generated during Carotid Artery Stenting (CAS). These devices are capable of capturing small particles generated during the intervention, avoiding cerebral stroke and improving the outcomes of the surgery. However, they have associated complications, like the increase on flow resistance associated by their use or the lack of knowledge on their actual filtration efficiency for thrombi of low size. Current work proposes a validated computational methodology in order to predict the hemodynamic features and filtering efficiency of a commercial EPD. It will be observed how Computational Fluid Dynamics predicts pressure drop with fair agreement with the experimental measurements. Finally, this work analyzes the filtration efficiency and the influence of the distribution of injected particles on this parameter. The capabilities of the filter for retaining particles of diameter below the pore size is, additionally, discussed.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85112785934&origin=inward; http://dx.doi.org/10.1007/s10439-021-02846-4; http://www.ncbi.nlm.nih.gov/pubmed/34405319; https://link.springer.com/10.1007/s10439-021-02846-4; https://dx.doi.org/10.1007/s10439-021-02846-4; https://link.springer.com/article/10.1007/s10439-021-02846-4
Springer Science and Business Media LLC
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