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Sensitivity analysis of periprosthetic healing to cell migration, growth factor and post-operative gap using a mechanobiological model

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  • Pascal Swider
  • D. Ambard
  • G. Guérin
  • Kjeld Søballe
  • Joan Bechtold

Abstract

A theoretical rationale, which could help in the investigation of mechanobiological factors affecting periprosthetic tissue healing, is still an open problem. We used a parametric sensitivity analysis to extend a theoretical model based on reactive transport and computational cell biology. The numerical experimentation involved the drill hole, the haptotactic and chemotactic migrations, and the initial concentration of an anabolic growth factor. Output measure was the mineral fraction in tissue surrounding a polymethymethacrylate (PMMA) canine implant (stable loaded implant, non-critical gap). Increasing growth factor concentration increased structural matrix synthesis. A cell adhesion gradient resulted in heterogeneous bone distribution and a growth factor gradient resulted in homogeneous bone distribution in the gap. This could explain the radial variation of bone density from the implant surface to the drill hole, indicating less secure fixation. This study helps to understand the relative importance of various host and clinical factors influencing bone distribution and resulting implant fixation.

Suggested Citation

  • Pascal Swider & D. Ambard & G. Guérin & Kjeld Søballe & Joan Bechtold, 2011. "Sensitivity analysis of periprosthetic healing to cell migration, growth factor and post-operative gap using a mechanobiological model," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 14(09), pages 763-771.
  • Handle: RePEc:taf:gcmbxx:v:14:y:2011:i:09:p:763-771
    DOI: 10.1080/10255842.2010.494160
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    Cited by:

    1. J. Yang & B. Faverjon & D. Dureisseix & P. Swider & S. Marburg & H. Peters & N. Kessissoglou, 2016. "Prediction of the intramembranous tissue formation during perisprosthetic healing with uncertainties. Part 2. Global clinical healing due to combination of random sources," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 19(13), pages 1387-1394, October.

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