Combining mathematical modelling with in-vitro experiments to predict in-vivo drug-eluting stent kinetics

Sean McGinty, Christopher McCormick, Craig Martin McKittrick, Simon Kennedy, Keith G. Oldroyd, Marcus Wheel, Bryan Scullion, Giuseppe Pontrelli, Sean McKee, P. Nithiarasu (Editor), A.M. Robertson (Editor)

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Abstract

In this paper we describe a combined in-vitro experimental and mathematical modelling approach to predict in-vivo drug-eluting stent kinetics. We coated stents with a mixture of sirolimus and a novel acrylic-based polymer in two different ratios. Our results indicate differential release kinetics between low and high drug dose formulations. Furthermore, mathematical model simulations of target receptor saturation suggest potential differences in efficacy.
Original languageEnglish
Title of host publication5th International Conference on Computational and Mathematical Biomedical Engineering (CMBE2017)
Place of PublicationSwansea UK
Pages1011-1014
Number of pages4
Publication statusPublished - 10 Apr 2017
Event5th International Conference on Computational and Mathematical Biomedical Engineering - Pittsburgh, Pittsburgh, United States
Duration: 10 Apr 201712 Apr 2017

Conference

Conference5th International Conference on Computational and Mathematical Biomedical Engineering
Abbreviated titleCMBE 2017
CountryUnited States
CityPittsburgh
Period10/04/1712/04/17

Keywords

  • Drug-eluting stents
  • drug delivery
  • coupled partial differential equations
  • in-vivo experiments

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  • Projects

    Optimal design of drug-eluting stents

    McGinty, S., McKee, S., McCormick, C., Wheel, M., Kennedy, S., Oldroyd, K. G. & McKittrick, C.

    1/04/1231/07/15

    Project: Research

    Datasets

    Cite this

    McGinty, S., McCormick, C., McKittrick, C. M., Kennedy, S., Oldroyd, K. G., Wheel, M., Scullion, B., Pontrelli, G., McKee, S., Nithiarasu, P. (Ed.), & Robertson, A. M. (Ed.) (2017). Combining mathematical modelling with in-vitro experiments to predict in-vivo drug-eluting stent kinetics. In 5th International Conference on Computational and Mathematical Biomedical Engineering (CMBE2017) (pp. 1011-1014).