A Comparison of Fully-Coupled 3D In-Stent Restenosis Simulations to In-vivo Data

We describe our fully-coupled 3D multiscale model of in-stent restenosis, with blood flow simulations coupled to smooth muscle cell proliferation, and report results of numerical simulations performed with this model. This novel model is based on several previously reported 2D models. We study the e...

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Detalles Bibliográficos
Autores principales: Zun, Pavel S., Anikina, Tatiana, Svitenkov, Andrew, Hoekstra, Alfons G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5440556/
https://www.ncbi.nlm.nih.gov/pubmed/28588498
http://dx.doi.org/10.3389/fphys.2017.00284
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author Zun, Pavel S.
Anikina, Tatiana
Svitenkov, Andrew
Hoekstra, Alfons G.
author_facet Zun, Pavel S.
Anikina, Tatiana
Svitenkov, Andrew
Hoekstra, Alfons G.
author_sort Zun, Pavel S.
collection PubMed
description We describe our fully-coupled 3D multiscale model of in-stent restenosis, with blood flow simulations coupled to smooth muscle cell proliferation, and report results of numerical simulations performed with this model. This novel model is based on several previously reported 2D models. We study the effects of various parameters on the process of restenosis and compare with in vivo porcine data where we observe good qualitative agreement. We study the effects of stent deployment depth (and related injury score), reendothelization speed, and simulate the effect of stent width. Also we demonstrate that we are now capable to simulate restenosis in real-sized (18 mm long, 2.8 mm wide) vessel geometries.
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spelling pubmed-54405562017-06-06 A Comparison of Fully-Coupled 3D In-Stent Restenosis Simulations to In-vivo Data Zun, Pavel S. Anikina, Tatiana Svitenkov, Andrew Hoekstra, Alfons G. Front Physiol Physiology We describe our fully-coupled 3D multiscale model of in-stent restenosis, with blood flow simulations coupled to smooth muscle cell proliferation, and report results of numerical simulations performed with this model. This novel model is based on several previously reported 2D models. We study the effects of various parameters on the process of restenosis and compare with in vivo porcine data where we observe good qualitative agreement. We study the effects of stent deployment depth (and related injury score), reendothelization speed, and simulate the effect of stent width. Also we demonstrate that we are now capable to simulate restenosis in real-sized (18 mm long, 2.8 mm wide) vessel geometries. Frontiers Media S.A. 2017-05-23 /pmc/articles/PMC5440556/ /pubmed/28588498 http://dx.doi.org/10.3389/fphys.2017.00284 Text en Copyright © 2017 Zun, Anikina, Svitenkov and Hoekstra. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Zun, Pavel S.
Anikina, Tatiana
Svitenkov, Andrew
Hoekstra, Alfons G.
A Comparison of Fully-Coupled 3D In-Stent Restenosis Simulations to In-vivo Data
title A Comparison of Fully-Coupled 3D In-Stent Restenosis Simulations to In-vivo Data
title_full A Comparison of Fully-Coupled 3D In-Stent Restenosis Simulations to In-vivo Data
title_fullStr A Comparison of Fully-Coupled 3D In-Stent Restenosis Simulations to In-vivo Data
title_full_unstemmed A Comparison of Fully-Coupled 3D In-Stent Restenosis Simulations to In-vivo Data
title_short A Comparison of Fully-Coupled 3D In-Stent Restenosis Simulations to In-vivo Data
title_sort comparison of fully-coupled 3d in-stent restenosis simulations to in-vivo data
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5440556/
https://www.ncbi.nlm.nih.gov/pubmed/28588498
http://dx.doi.org/10.3389/fphys.2017.00284
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