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Computational simulation methodologies for mechanobiological modelling: a cell-centred approach to neointima development in stents

The design of medical devices could be very much improved if robust tools were available for computational simulation of tissue response to the presence of the implant. Such tools require algorithms to simulate the response of tissues to mechanical and chemical stimuli. Available methodologies inclu...

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Detalles Bibliográficos
Autores principales: Boyle, C. J., Lennon, A. B., Early, M., Kelly, D. J., Lally, C., Prendergast, P. J.
Formato: Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2944394/
https://www.ncbi.nlm.nih.gov/pubmed/20478914
http://dx.doi.org/10.1098/rsta.2010.0071
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author Boyle, C. J.
Lennon, A. B.
Early, M.
Kelly, D. J.
Lally, C.
Prendergast, P. J.
author_facet Boyle, C. J.
Lennon, A. B.
Early, M.
Kelly, D. J.
Lally, C.
Prendergast, P. J.
author_sort Boyle, C. J.
collection PubMed
description The design of medical devices could be very much improved if robust tools were available for computational simulation of tissue response to the presence of the implant. Such tools require algorithms to simulate the response of tissues to mechanical and chemical stimuli. Available methodologies include those based on the principle of mechanical homeostasis, those which use continuum models to simulate biological constituents, and the cell-centred approach, which models cells as autonomous agents. In the latter approach, cell behaviour is governed by rules based on the state of the local environment around the cell; and informed by experiment. Tissue growth and differentiation requires simulating many of these cells together. In this paper, the methodology and applications of cell-centred techniques—with particular application to mechanobiology—are reviewed, and a cell-centred model of tissue formation in the lumen of an artery in response to the deployment of a stent is presented. The method is capable of capturing some of the most important aspects of restenosis, including nonlinear lesion growth with time. The approach taken in this paper provides a framework for simulating restenosis; the next step will be to couple it with more patient-specific geometries and quantitative parameter data.
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spelling pubmed-29443942010-10-04 Computational simulation methodologies for mechanobiological modelling: a cell-centred approach to neointima development in stents Boyle, C. J. Lennon, A. B. Early, M. Kelly, D. J. Lally, C. Prendergast, P. J. Philos Trans A Math Phys Eng Sci Articles The design of medical devices could be very much improved if robust tools were available for computational simulation of tissue response to the presence of the implant. Such tools require algorithms to simulate the response of tissues to mechanical and chemical stimuli. Available methodologies include those based on the principle of mechanical homeostasis, those which use continuum models to simulate biological constituents, and the cell-centred approach, which models cells as autonomous agents. In the latter approach, cell behaviour is governed by rules based on the state of the local environment around the cell; and informed by experiment. Tissue growth and differentiation requires simulating many of these cells together. In this paper, the methodology and applications of cell-centred techniques—with particular application to mechanobiology—are reviewed, and a cell-centred model of tissue formation in the lumen of an artery in response to the deployment of a stent is presented. The method is capable of capturing some of the most important aspects of restenosis, including nonlinear lesion growth with time. The approach taken in this paper provides a framework for simulating restenosis; the next step will be to couple it with more patient-specific geometries and quantitative parameter data. The Royal Society Publishing 2010-06-28 /pmc/articles/PMC2944394/ /pubmed/20478914 http://dx.doi.org/10.1098/rsta.2010.0071 Text en © 2010 The Royal Society http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Boyle, C. J.
Lennon, A. B.
Early, M.
Kelly, D. J.
Lally, C.
Prendergast, P. J.
Computational simulation methodologies for mechanobiological modelling: a cell-centred approach to neointima development in stents
title Computational simulation methodologies for mechanobiological modelling: a cell-centred approach to neointima development in stents
title_full Computational simulation methodologies for mechanobiological modelling: a cell-centred approach to neointima development in stents
title_fullStr Computational simulation methodologies for mechanobiological modelling: a cell-centred approach to neointima development in stents
title_full_unstemmed Computational simulation methodologies for mechanobiological modelling: a cell-centred approach to neointima development in stents
title_short Computational simulation methodologies for mechanobiological modelling: a cell-centred approach to neointima development in stents
title_sort computational simulation methodologies for mechanobiological modelling: a cell-centred approach to neointima development in stents
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2944394/
https://www.ncbi.nlm.nih.gov/pubmed/20478914
http://dx.doi.org/10.1098/rsta.2010.0071
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