Article (Scientific journals)
Assessment of mechanobiological models for the numerical simulation of tissue differentiation around immediately loaded implants.
Geris, Liesbet; Van Oosterwyck, H.; Vander Sloten, Jos et al.
2003In Computer Methods in Biomechanics and Biomedical Engineering, 6 (5-6), p. 277-88
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Keywords :
Animals; Cell Differentiation/physiology; Computer Simulation; Culture Techniques/instrumentation/methods; Elasticity; Mechanotransduction, Cellular/physiology; Models, Biological; Prostheses and Implants; Rabbits; Stress, Mechanical; Tibia/cytology/physiology/surgery; Weight-Bearing/physiology
Abstract :
[en] Nowadays, there is a growing consensus on the impact of mechanical loading on bone biology. A bone chamber provides a mechanically isolated in vivo environment in which the influence of different parameters on the tissue response around loaded implants can be investigated. This also provides data to assess the feasibility of different mechanobiological models that mathematically describe the mechanoregulation of tissue differentiation. Before comparing numerical results to animal experimental results, it is necessary to investigate the influence of the different model parameters on the outcome of the simulations. A 2D finite element model of the tissue inside the bone chamber was created. The differentiation models developed by Prendergast, et al. ["Biophysical stimuli on cells during tissue differentiation at implant interfaces", Journal of Biomechanics, 30(6), (1997), 539-548], Huiskes et al. ["A biomechanical regulatory model for periprosthetic fibrous-tissue differentiation", Journal of Material Science: Materials in Medicine, 8 (1997) 785-788] and by Claes and Heigele ["Magnitudes of local stress and strain along bony surfaces predict the course and type of fracture healing", Journal of Biomechanics, 32(3), (1999) 255-266] were implemented and integrated in the finite element code. The fluid component in the first model has an important effect on the predicted differentiation patterns. It has a direct effect on the predicted degree of maturation of bone and a substantial indirect effect on the simulated deformations and hence the predicted phenotypes of the tissue in the chamber. Finally, the presence of fluid also causes time-dependent behavior. Both models lead to qualitative and quantitative differences in predicted differentiation patterns. Because of the different nature of the tissue phenotypes used to describe the differentiation processes, it is however hard to compare both models in terms of their validity.
Disciplines :
Surgery
Biochemistry, biophysics & molecular biology
Microbiology
Computer science
Mechanical engineering
Author, co-author :
Geris, Liesbet  ;  K.U. Leuven, Faculty of Engineering, Division of Biomechanics and Engineering Design, Leuven, Belgium
Van Oosterwyck, H.;  K.U. Leuven, Faculty of Engineering, Division of Biomechanics and Engineering Design, Leuven, Belgium
Vander Sloten, Jos;  K.U. Leuven, Faculty of Engineering, Division of Biomechanics and Engineering Design, Leuven, Belgium
Duyck, Joke;  K.U. Leuven, Faculty of Medicine, Department of Prosthetic Dentistry, Leuven, Belgium
Naert, I.;  K.U. Leuven, Faculty of Medicine, Department of Prosthetic Dentistry, Leuven, Belgium
Language :
English
Title :
Assessment of mechanobiological models for the numerical simulation of tissue differentiation around immediately loaded implants.
Publication date :
2003
Journal title :
Computer Methods in Biomechanics and Biomedical Engineering
ISSN :
1025-5842
eISSN :
1476-8259
Publisher :
Taylor & Francis, London, United Kingdom
Volume :
6
Issue :
5-6
Pages :
277-88
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 26 August 2010

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