In Silico Assessment of the effects of Material on Stent Deployment
Name
nihms-981394.pdf
Description
Accepted version
Size
588.24 KB
Format
Adobe PDF
Checksum (MD5)
76575d5ba06979cab35c66f747c41b3c
Author(s)
Conway, Claire
Edelman, Elazer R
Date Issued
October 2017
Journal
Proceedings, 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Karanasiou, Georgia S. et al. “In Silico Assessment of the effects of Material on Stent Deployment.” Proceedings, 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, 2017, pp. 462-467 © 2017 The Author(s)
Version
Author's final manuscript
Abstract
© 2017 IEEE. Coronary stents are expandable scaffolds that are used to widen occluded diseased arteries and restore blood flow. Because of the strain they are exposed to and forces they must resist as well as the importance of surface interactions, material properties are dominant. Indeed, a common differentiating factors amongst commercially available stents is their material. Several performance requirements relate to stent materials including radial strength for adequate arterial support post-deployment. This study investigated the effect of the stent material in three finite element models using different stents made of: (i) Cobalt-Chromium (CoCr), (ii) Stainless Steel (SS316L), and (iii) Platinum Chromium (PtCr). Deployment was investigated in a patient specific arterial geometry, created based on a fusion of angiographic data and intravascular ultrasound images. In silico results show that: (i) the maximum von Mises stress occurs for the CoCr, however the curved areas of the stent links present higher stresses compared to the straight stent segments for all stents, (ii) more areas of high inner arterial stress exist in the case of the CoCr stent deployment, (iii) there is no significant difference in the percentage of arterial stress volume distribution among all models.
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1109/BIBE.2017.00-11
