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Published on: September 18, 2015
Investigation of crimping effects on the stent deployment through in silico modeling
Abstract:
Atherosclerosis is one of the most mortal diseases that affects the arterial vessels, due to accumulation of plaque, altering the hemodynamic environment of the artery by preventing the sufficient delivery of blood to other organs. Stents are expandable tubular wires, used as a treatment option. In silico studies have been extensively exploited towards examining the performance of such devices by employing Finite Element Modeling. This study models the crimping stage during stent implantation to examine the effect of inclusion of pre-stress state of the stent. The results show that modeling of the crimping stress state of the stent prior to the deployment results in under-expansion of the stent, due to the indirect inclusion of strain-induced hardening effects. As a result, it is evident that the compressive stent stress configuration is important to be considered in the computational modeling approaches of stent deployment.
Insights
Modeling stent crimping is crucial for accurate computational analysis. Ignoring pre-stress leads to under-expansion, impacting effective stent deployment in atherosclerosis treatment.
Area of Science:
- Biomedical Engineering
- Medical Device Design
- Computational Mechanics
Background:
- Atherosclerosis is a leading cause of death, characterized by arterial plaque buildup.
- Stents are vital implants used to restore blood flow in diseased arteries.
- In silico methods, particularly Finite Element Modeling (FEM), are essential for evaluating stent performance.
Purpose of the Study:
- To investigate the impact of the stent's pre-stress state during the crimping phase of implantation.
- To analyze how modeling the crimping stage affects computational predictions of stent deployment.
Main Methods:
- Utilized Finite Element Modeling (FEM) to simulate the stent crimping process.
- Incorporated the pre-stress state of the stent into the computational model.
- Analyzed the effects of including crimping-induced stress on stent deployment.
Main Results:
- Modeling the crimping stress state prior to deployment resulted in simulated stent under-expansion.
- This under-expansion is attributed to the indirect inclusion of strain-induced hardening effects.
- The study highlights the significance of the stent's compressive stress configuration.
Conclusions:
- Accurate computational modeling of stent deployment must account for the pre-stress state.
- Failure to consider crimping-induced stresses can lead to inaccurate predictions of stent under-expansion.
- This finding is critical for optimizing stent design and implantation procedures in atherosclerosis treatment.
