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NUI Galway – UL Alliance First Annual ENGINEERING AND - ARAN ...

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A Computational Test-Bed to Examine the Effects of Arterial Curvature and<br />

Stenosis Severity on Coronary Stent Deployment<br />

Claire Conway 1,2 , Patrick McGarry 1,2 , Peter McHugh 1,2<br />

1. Department of Mechanical and Biomedical Engineering, National University of Ireland, <strong>Galway</strong><br />

2. National Centre for Biomedical Engineering Science, National University of Ireland, <strong>Galway</strong><br />

c.conway5@nuigalway.ie<br />

Abstract<br />

Stenting appears as a panacea for atherosclerosis,<br />

however in-stent restenosis remains a problem for<br />

clinicians. This work presents a geometrical test-bed<br />

that examines the in-silico deployment behaviour of two<br />

stent designs. Through greater knowledge of the<br />

implantation process one can design for a better<br />

performing stent in-vivo.<br />

1. Introduction<br />

The need for an improved coronary stent design is<br />

clear from published reports on in-stent restenosis.<br />

More comprehensive evaluation of stents in the design<br />

phase is a step towards this goal. Current computational<br />

stent models are primarily focused on evaluating stent<br />

performance in patient-specific anatomical<br />

environments. However, this work has the objective of<br />

using finite element modelling to devise a geometrical<br />

test bed which is capable of assessing stent performance<br />

for a broad range of the population. Using a spectrum of<br />

representative arterial geometries (encompassing a wide<br />

range of tortuosity and stenosis) a comprehensive<br />

evaluation of stent performance can be achieved.<br />

2. Materials & Methods<br />

3D finite element models representative of the<br />

Cypher and Multi-Link stents were deployed, by<br />

applying a pressure directly to the stent surface and<br />

using a semi-compliant balloon, in straight and curved<br />

three-layer unstenosed and stenosed arteries. The<br />

inelastic constitutive model was described by a Von<br />

Mises-Hill isotropic plasticity model. The Young’s<br />

Modulus was 200GPa, the Poisson’s ratio 0.28 and the<br />

yield strength 264MPa.<br />

The anisotropic behaviour of each arterial layer was<br />

described by an exponential hyperelastic constitutive<br />

model as described in the work of Gasser et al 1 . The<br />

lesion was modelled as a homogenous cellular isotropic<br />

body governed by a third order hyperelastic strain<br />

energy funtion 2 . Standard material properties from<br />

literature were applied to the nitinol guidewire, nylon<br />

balloon and HDPE catheter 3 .<br />

3. Results<br />

Straightening of all curved vessels was predicted after<br />

implantation of the stent, for example see figure 1.<br />

Results also indicate that the level of lumen gain is<br />

affected by increasing level of stenosis and also the<br />

level of recoil within the stent increases for increasing<br />

63<br />

level of stenosis. Significant tissue damage was<br />

predicted within all stenosed models. Explicit balloon<br />

modelling was deemed be more appropriate in<br />

accurately capturing the implantation process based on<br />

the results of this study.<br />

Figure 1. Stages of implantation of a Cypher stent in a<br />

moderately curved three layer artery<br />

4. Discussion & Conclusion<br />

The application of this geometrical test-bed<br />

successfully captured stent deployment in nine arterial<br />

models. To the author's knowledge this study provides<br />

the first comprehensive test-bed for stent design and<br />

analysis. The proposed research methodology will offer<br />

a novel insight into the optimisation of stent design for<br />

specific arterial geometries and stenosis levels,<br />

providing invaluable information for the design<br />

engineer and clinician.<br />

5. Acknowledgements<br />

EMBARK Scholarship from the Irish Research Council<br />

for Science Engineering and Technology<br />

6. References<br />

[1] Gasser et al, J. R. Soc. Interface (2006) 3:15-35.<br />

[2] Pericevic et al, Med. Eng. & Phys. (2009) 31:428-433.<br />

[3] Mortier et al, Ann. Biomed. Eng., (2010) 38:88-99.

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