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dc.contributor.authorVijayaratnam, Pujith R. S.
dc.contributor.authorO’Brien, Caroline C.
dc.contributor.authorReizes, John A.
dc.contributor.authorBarber, Tracie J.
dc.contributor.authorEdelman, Elazer R.
dc.date.accessioned2015-08-21T12:13:41Z
dc.date.available2015-08-21T12:13:41Z
dc.date.issued2015-06
dc.date.submitted2015-01
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/1721.1/98172
dc.description.abstractBackground and Methods It is important to ensure that blood flow is modelled accurately in numerical studies of arteries featuring drug-eluting stents due to the significant proportion of drug transport from the stent into the arterial wall which is flow-mediated. Modelling blood is complicated, however, by variations in blood rheological behaviour between individuals, blood’s complex near-wall behaviour, and the large number of rheological models which have been proposed. In this study, a series of steady-state computational fluid dynamics analyses were performed in which the traditional Newtonian model was compared against a range of non-Newtonian models. The impact of these rheological models was elucidated through comparisons of haemodynamic flow details and drug transport behaviour at various blood flow rates. Results Recirculation lengths were found to reduce by as much as 24% with the inclusion of a non-Newtonian rheological model. Another model possessing the viscosity and density of blood plasma was also implemented to account for near-wall red blood cell losses and yielded recirculation length increases of up to 59%. However, the deviation from the average drug concentration in the tissue obtained with the Newtonian model was observed to be less than 5% in all cases except one. Despite the small sensitivity to the effects of viscosity variations, the spatial distribution of drug matter in the tissue was found to be significantly affected by rheological model selection. Conclusions/Significance These results may be used to guide blood rheological model selection in future numerical studies. The clinical significance of these results is that they convey that the magnitude of drug uptake in stent-based drug delivery is relatively insensitive to individual variations in blood rheology. Furthermore, the finding that flow separation regions formed downstream of the stent struts diminish drug uptake may be of interest to device designers.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01 GM49039)en_US
dc.language.isoen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pone.0128178en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePublic Library of Scienceen_US
dc.titleThe Impact of Blood Rheology on Drug Transport in Stented Arteries: Steady Simulationsen_US
dc.typeArticleen_US
dc.identifier.citationVijayaratnam, Pujith R. S., Caroline C. O’Brien, John A. Reizes, Tracie J. Barber, and Elazer R. Edelman. “The Impact of Blood Rheology on Drug Transport in Stented Arteries: Steady Simulations.” Edited by Victor M Ugaz. PLoS ONE 10, no. 6 (June 12, 2015): e0128178.en_US
dc.contributor.departmentInstitute for Medical Engineering and Scienceen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Biomedical Engineeringen_US
dc.contributor.mitauthorO’Brien, Caroline C.en_US
dc.contributor.mitauthorEdelman, Elazer R.en_US
dc.relation.journalPLOS ONEen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsVijayaratnam, Pujith R. S.; O’Brien, Caroline C.; Reizes, John A.; Barber, Tracie J.; Edelman, Elazer R.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-7832-7156
dc.identifier.orcidhttps://orcid.org/0000-0002-2890-2319
dspace.mitauthor.errortrue
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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