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dc.contributor.authorMcGarry, J. P.
dc.contributor.authorMcHugh, P. E.
dc.contributor.authorConway, Claire
dc.contributor.authorEdelman, Elazer R
dc.date.accessioned2017-08-23T19:01:18Z
dc.date.available2018-03-04T06:00:06Z
dc.date.issued2017-05
dc.date.submitted2016-12
dc.identifier.issn0090-6964
dc.identifier.issn1573-9686
dc.identifier.urihttp://hdl.handle.net/1721.1/111006
dc.description.abstractIt 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.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (R01 GM 49039)en_US
dc.publisherSpringer-Verlagen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s10439-017-1851-3en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceSpringer USen_US
dc.titleNumerical Simulation of Stent Angioplasty with Predilation: An Investigation into Lesion Constitutive Representation and Calcification Influenceen_US
dc.typeArticleen_US
dc.identifier.citationConway, C. et al. “Numerical Simulation of Stent Angioplasty with Predilation: An Investigation into Lesion Constitutive Representation and Calcification Influence.” Annals of Biomedical Engineering 45, 9 (May 2017): 2244–2252 © 2017 Biomedical Engineering Societyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.mitauthorConway, Claire
dc.contributor.mitauthorEdelman, Elazer R
dc.relation.journalAnnals of Biomedical Engineeringen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2017-08-23T05:56:11Z
dc.language.rfc3066en
dc.rights.holderBiomedical Engineering Society
dspace.orderedauthorsConway, C.; McGarry, J. P.; Edelman, E. R.; McHugh, P. E.en_US
dspace.embargo.termsNen
dc.identifier.orcidhttps://orcid.org/0000-0003-4236-2280
dc.identifier.orcidhttps://orcid.org/0000-0002-7832-7156
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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