The osteonecrosis of the femoral head implies significant disability partly due to pain. After conventional core decompression using a 10-mm drill, patients normally are requested to be non-weight bearing for several weeks due to the risk of fracture. After core decompression using multiple small drillings, patients were allowed 50% weight bearing. The alternative of simultaneous implantation of a tantalum implant has the supposed advantage of unrestricted load bearing postoperatively. However, these recommendations are mainly based on clinical experience. The aim of this study was to perform a finite element analysis and confirm the results by clinical data after core decompression and after treatment using a tantalum implant. Postoperatively, the risk of fracture is lower after core decompression using multiple small drillings and after the implantation of a tantalum rod according to finite element analysis compared to core decompression of one 10-mm drill hole. According to the results of this study, a risk of fracture exists only during extreme loading. The long-term results reveal a superior performance for core decompression presumably due to the lack of complete bone ingrowth of the tantalum implant. In conclusion, core decompression using small drill holes seems to be superior compared to the tantalum implant and to conventional core decompression.
Numerical investigations with regard to the subtrochanteric fracture risk induced by three alternative methods for the treatment of femoral head necrosis are outlined in this presentation. The traditional core decompression technique will be compared with minimal invasive multiple low diameter drillings and the implantation of an innovative tantalum implant. With emphasis to the newly introduced computational strategies and modeling approaches, the modeling of critical loading conditions as well as mesh convergence is outlined in detail. In addition to the immediate postoperative fracture risk, the long-term stability of the different approaches for treating femoral head necrosis is predicted by performing well-established bone remodeling simulation techniques. The computed results are augmented for results obtained from clinical experience.
To improve bone strength prediction beyond limitations of assessment founded solely on the bone mineral component, we investigated the effect of hyperlipidemia, present in more than 40% of osteoporotic patients, on multiscale structure of murine bone. Our overarching purpose is to estimate bone strength accurately, to facilitate mitigating fracture morbidity and mortality in patients. Because i) orientation of collagen type I affects, independently of degree of mineralization, cortical bone’s micro-structural strength; and, ii) hyperlipidemia affects collagen orientation and µCT volumetric tissue mineral density (vTMD) in murine cortical bone, we have constructed the first multiscale finite element (mFE), mouse-specific femoral model to study the effect of collagen orientation and vTMD on strength in Ldlr−/−, a mouse model of hyperlipidemia, and its control wild type, on either high fat diet or normal diet. Each µCT scan-based mFE model included either element-specific elastic orthotropic properties calculated from collagen orientation and vTMD (collagen-density model) by experimentally validated formulation, or usual element-specific elastic isotropic material properties dependent on vTMD-only (density-only model). We found that collagen orientation, assessed by circularly polarized light and confocal microscopies, and vTMD, differed among groups; and that microindentation results strongly correlate with elastic modulus of collagen-density models (r2=0.85, p=10−5). Collagen-density models yielded 1) larger strains, and therefore lower strength, in simulations of 3-point bending and physiological loading; and 2) higher correlation between mFE-predicted strength and 3-point bending experimental strength, than density-only models. This novel method supports ongoing translational research to achieve the as yet elusive goal of accurate bone strength prediction.
A computational approach for studies on the biomechanical compatibility of hip implants based on detailed three-dimensional finite element models is presented. With the anticipation for a meaningful computational prediction of bone behavior under endoprosthetic treatment a general modeling approach taking into account the model generation from radiological data and the recovery of statically equivalent joint loads and muscle forces from a best fit between simulated and measured bone mass density distribution was developed. Computational results for three different endoprostheses systems are presented and compared with clinical studies. The potential for aiding the development process of new prosthesis designs regarding their biomechanical compatibility is demonstrated.
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