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    Biomed Eng Online. 2009 Apr 16;8:7.

    Numerical investigations on the strain-adaptive bone remodelling in the periprosthetic femur: influence of the boundary conditions.

    Behrens BA, Nolte I, Wefstaedt P, Stukenborg-Colsman C, Bouguecha A.

    Institute of Metal Forming and Metal-Forming Machines, Leibniz Universität Hannover, Garbsen, Germany. behrens@ifum.uni-hannover.de

    BACKGROUND: There are several numerical investigations on bone remodelling after total hip arthroplasty (THA) on the basis of the finite element analysis (FEA). For such computations certain boundary conditions have to be defined. The authors chose a maximum of three static load situations, usually taken from the gait cycle because this is the most frequent dynamic activity of a patient after THA. MATERIALS AND METHODS: The numerical study presented here investigates whether it is useful to consider only one static load situation of the gait cycle in the FE calculation of the bone remodelling. For this purpose, 5 different loading cases were examined in order to determine their influence on the change in the physiological load distribution within the femur and on the resulting strain-adaptive bone remodelling. First, four different static loading cases at 25%, 45%, 65% and 85% of the gait cycle, respectively, and then the whole gait cycle in a loading regime were examined in order to regard all the different loadings of the cycle in the simulation. RESULTS: The computed evolution of the apparent bone density (ABD) and the calculated mass losses in the periprosthetic femur show that the simulation results are highly dependent on the chosen boundary conditions. CONCLUSION: These numerical investigations prove that a static load situation is insufficient for representing the whole gait cycle. This causes severe deviations in the FE calculation of the bone remodelling. However, accompanying clinical examinations are necessary to calibrate the bone adaptation law and thus to validate the FE calculations.

    PMID: 19371424 [PubMed - indexed for MEDLINE]

    PMCID: PMC2679745

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