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Numerical Simulation of Stent Angioplasty with Predilation: An Investigation into Lesion Constitutive Representation and Calcification Influence

Abstract

It is acceptable clinical practice to predilate a severely occluded vessel to allow better positioning of endovascular stents, and while the impact of this intervention has been examined for aggregate response in animals there has been no means to examine whether there are specific vessels that might benefit. Finite element methods offer the singular ability to explore the mechanical response of arteries with specific pathologic alterations in mechanics to stenting and predilation. We examined varying representations of atherosclerotic tissue including homogeneous and heterogeneous dispersion of calcified particles, and elastic, pseudo-elastic, and elastic–plastic constitutive representations of bulk atherosclerotic tissue. The constitutive representations of the bulk atherosclerotic tissue were derived from experimental test data and highlight the importance of accounting for testing mode of loading. The impact of arterial predilation is presented and, in particular, its effect on intimal predicted damage, atherosclerotic tissue von Mises and maximum principal stresses, and luminal deformation was dependent on the type of constitutive representation of diseased tissue, particularly in the presence of calcifications.

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  1. Kay P., M. Sabate, and M. A. Costa (eds): Cardiac Catheterization and Percutaneous Interventions. ed 1 Informa Healthcare, 2004.

  2. Rogers, C., and E. R. Edelman. Endovascular stent design dictates experimental restenosis and thrombosis. Circulation 15(91):2995–3001, 1995.

    Article  Google Scholar 

  3. Edelman, E. R., and C. Rogers. Pathobiologic responses to stenting. Am. J. Cardiol. 81:4E–6E, 1998.

    Article  CAS  PubMed  Google Scholar 

  4. Conway, C., F. Sharif, J. McGarry, and P. McHugh. A computational test-bed to assess coronary stent implantation mechanics using a population-specific approach. Cardiovasc. Eng. Technol. 3:1–14, 2012.

    Article  Google Scholar 

  5. Conway, C., J. P. McGarry, and P. E. McHugh. Modelling of atherosclerotic plaque for use in a computational test-bed for stent angioplasty. Ann. Biomed. Eng. 11(42):2425–2439, 2014.

    Article  Google Scholar 

  6. Mortier, P., G. A. Holzapfel, M. De Beule, D. Van Loo, Y. Taeymans, P. Segers, et al. A novel simulation strategy for stent insertion and deployment in curved coronary bifurcations: comparison of three drug-eluting stents. Ann. Biomed. Eng. 38:88–99, 2010.

    Article  PubMed  Google Scholar 

  7. Zahedmanesh, H., D. John Kelly, and C. Lally. Simulation of a balloon expandable stent in a realistic coronary artery—determination of the optimum modelling strategy. J. Biomech. 43:2126–2132, 2010.

    Article  PubMed  Google Scholar 

  8. Gastaldi, D., S. Morlacchi, R. Nichetti, C. Capelli, G. Dubini, L. Petrini, et al. Modelling of the provisional side-branch stenting approach for the treatment of atherosclerotic coronary bifurcations: effects of stent positioning. Biomech. Model Mechanobiol. 9:551–561, 2010.

    Article  PubMed  Google Scholar 

  9. Gijsen, F., F. Migliavacca, S. Schievano, L. Socci, L. Petrini, A. Thury, et al. Simulation of stent deployment in a realistic human coronary artery. Biomed. Eng. Online 7:23, 2008. doi:10.1186/1475-925X-7-23.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Morlacchi, S., and F. Migliavacca. Modeling stented coronary arteries: where we are, where to go. Ann. Biomed. Eng. 41:1428–1444, 2013.

    Article  PubMed  Google Scholar 

  11. Martin, D., and F. J. Boyle. Computational structural modelling of coronary stnet deployment: a review. Comput. Methods Biomech. Biomed. Eng. 14:331–348, 2011.

    Article  Google Scholar 

  12. Zahedmanesh, H., and C. Lally. Determination of the influence of stent strut thickness using the finite element method: implications for vascular injury and in-stent restenosis. Med. Biol. Eng. Comput. 47:385–393, 2009.

    Article  PubMed  Google Scholar 

  13. Zahedmanesh, H., D. John Kelly, and C. Lally. Simulation of a balloon expandable stent in a realistic coronary artery—determination of the optimum modelling strategy. J Biomech 43:2126–2132, 2010.

    Article  PubMed  Google Scholar 

  14. O’Reilly, B. L., C. Conway, J. P. McGarry, and P. E. McHugh. Arterial and atherosclerotic plaque biomechanics with application to stent angioplasty modeling. In: Biomechanics: Trends in Modeling and Simulation, edited by G. A. Holzapfel, and R. W. Ogden. Switzerland: Springer International Publishing, 2017, pp. 193–231.

    Chapter  Google Scholar 

  15. Ogden, R. W., and D. G. Roxburgh. A pseudo-elastic model for the Mullins effect in filled rubber. Proc. R. Soc. Lond. A 455:2861–2877, 1999.

    Article  Google Scholar 

  16. Miehe, C. Discontinuous and continuous damage evolution in Ogden type large stgrain elastic materials. Eur. J. Mech. A Solids 14:697–720, 1995.

    Google Scholar 

  17. Maher, E., A. Creane, S. Sultan, N. Hynes, C. Lally, and D. J. Kelly. Inelasticity of human carotid atherosclerotic plaque. Ann. Biomed. Eng. 39:2445–2455, 2011.

    Article  PubMed  Google Scholar 

  18. Peña, E., and M. Doblaré. An anisotropic pseudo-elastic approach for modelling Mullins effect in fibrous biological materials. Mech. Res. Commun. 36:784–790, 2009.

    Article  Google Scholar 

  19. Balzani, D., J. Schröder, and D. Gross. Simulation of discontinuous damage incorporating residual stresses in circumferentially overstretched atherosclerotic arteries. Acta Biomater. 2:609–618, 2006.

    Article  CAS  PubMed  Google Scholar 

  20. Peña, E., J. A. Peña, and M. Doblaré. On the Mullins effect and hysteresis of fibered biological materials: a comparison between continuous and discontinuous damage models. Int. J. Solids Struct. 46:1727–1735, 2009.

    Article  Google Scholar 

  21. Calvo, B., E. Peña, M. A. Martinez, and M. Doblaré. An uncoupled directional damage model for fibred biological soft tissues. Formulation and computational aspects. Int. J. Numer. Methods Eng. 69:2036–2057, 2007.

    Article  Google Scholar 

  22. Dassault Systemes: Abaqus 6.13 Documentation. 2013.

  23. Stary, H. Atlas of Atherosclerosis Progression and Regression. New York: Parthenon Publishing, 1999.

    Google Scholar 

  24. Grogan, J. A., S. B. Leen, and P. E. McHugh. Comparing coronary stent material performance on a common geometric platform through simulated bench testing. J. Mech. Behav. Biomed. Mater. 12:129–138, 2012.

    Article  CAS  PubMed  Google Scholar 

  25. Loree, H. M., A. J. Grodzinsky, S. Y. Park, L. J. Gibson, and R. T. Lee. Static circumferential tangential modulus of human atherosclerotic tissue. J. Biomech. 27:195–204, 1994.

    Article  CAS  PubMed  Google Scholar 

  26. Ebenstein, D. M., D. Coughlin, J. Chapman, C. Li, and L. A. Pruitt. Nanomechanical properties of calcification, fibrous tissue, and hematoma from atherosclerotic plaques. J. Biomed. Mater. Res. A 91A:1028–1037, 2009.

    Article  CAS  Google Scholar 

  27. Holzapfel, G. A., G. Sommer, and P. Regitnig. Anisotropic mechanical properties of tissue components in human atherosclerotic plaques. J. Biomech. Eng. 126:657–665, 2004.

    Article  PubMed  Google Scholar 

  28. FDA: Non-Clinical Engineering Tests and Recommended Labeling for Intravascular Stents and Associated Delivery Systems. Guid Ind FDA Staff 2010, pp. 1–51. Accessed 22 April 2014.

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Acknowledgments

The authors would like to acknowledge funding from the Irish Research Council/Irish Research Council for Science, Engineering and Technology (CC), the support of the Research Participation Program at US FDA administered by Oak Ridge Institute for Science and Education (CC), the US National Institutes of Health R01 GM 49039 (ERE), the SFI/HEA Irish Centre for High End Computing and the Massachusetts Institute of Technology Engaging Centre for the provision of computational facilities and support.

Author information Authors and Affiliations
  1. Biomechanics Research Centre (BMEC), Biomedical Engineering, College of Engineering and Informatics, National University of Ireland Galway, Galway, Ireland

    C. Conway, J. P. McGarry & P. E. McHugh

  2. Institute for Medical Engineering and Science (IMES), Massachusetts Institute of Technology, Cambridge, MA, USA

    C. Conway & E. R. Edelman

  3. Cardiovascular Division, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA

    E. R. Edelman

Authors
  1. C. Conway
  2. J. P. McGarry
  3. E. R. Edelman
  4. P. E. McHugh
Corresponding author

Correspondence to C. Conway.

Additional information

Associate Editor Estefanía Peña oversaw the review of this article.

About this article Cite this article

Conway, C., McGarry, J.P., Edelman, E.R. et al. Numerical Simulation of Stent Angioplasty with Predilation: An Investigation into Lesion Constitutive Representation and Calcification Influence. Ann Biomed Eng 45, 2244–2252 (2017). https://doi.org/10.1007/s10439-017-1851-3

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