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Endothelial repair process and its relevance to longitudinal neointimal tissue patterns: comparing histology with in silico modelling
Authors:Hannan Tahir  Carles Bona-Casas  Andrew James Narracott  Javaid Iqbal  Julian Gunn  Patricia Lawford  Alfons G Hoekstra
Affiliation:1.Computational Science, Informatics Institute, University of Amsterdam, Science Park 904, Amsterdam 1098 XH, The Netherlands;2.Medical Physics Group, Department of Cardiovascular Science, University of Sheffield, Sheffield, UK;3.Coronary Artery Disease Group, Department of Cardiovascular Science, University of Sheffield, Sheffield, UK;4.National Research University ITMO, Saint Petersburg, Russia
Abstract:Re-establishing a functional endothelium following endovascular treatment is an important factor in arresting neointimal proliferation. In this study, both histology (in vivo) and computational simulations (in silico) are used to evaluate neointimal growth patterns within coronary arteries along the axial direction of the stent. Comparison of the growth configurations in vivo and in silico was undertaken to identify candidate mechanisms for endothelial repair. Stent, lumen and neointimal areas were measured from histological sections obtained from eight right coronary stented porcine arteries. Two re-endothelialization scenarios (endothelial cell (EC) random seeding and EC growth from proximal and distal ends) were implemented in silico to evaluate their influence on the morphology of the simulated lesions. Subject to the assumptions made in the current simulations, comparison between in vivo and in silico results suggests that endothelial growth does not occur from the proximal and distal ends alone, but is more consistent with the assumption of a random seeding process. This may occur either from the patches of endothelium which survive following stent implantation or from attachment of circulating endothelial progenitor cells.
Keywords:computer modelling  in-stent restenosis  re-endothelialization  neointimal patterns  endothelial cells
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