Relation between subject-specific hip joint loading, stress distribution in the proximal femur and bone mineral density changes after total hip replacement

Jonkers, Ilse; Sauwen, Nicolas; Lenaerts, Gerlinde; Mulier, Michiel; Perre, Georges Van der; Jaecques, Siegfried

doi:10.1016/j.jbiomech.2008.09.011

Cited by 81 publications

(72 citation statements)

References 27 publications

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“…This external force F was varied to represent changes in mechanical load. Although literature data on stresses in cancellous bone tissue vary (Heijink et al 2008;Jonkers et al 2008), the load we used is reasonable for human cancellous bone.…”

Section: D Fea Modelmentioning

confidence: 99%

Analysis of bone architecture sensitivity for changes in mechanical loading, cellular activity, mechanotransduction, and tissue properties

Cox

Rietbergen

Donkelaar

et al. 2010

Biomech Model Mechanobiol

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Bone has an architecture which is optimized for its mechanical environment. In various conditions, this architecture is altered, and the underlying cause for this change is not always known. In the present paper, we investigated the sensitivity of the bone microarchitecture for four factors: changes in bone cellular activity, changes in mechanical loading, changes in mechanotransduction, and changes in mechanical tissue properties. The goal was to evaluate whether these factors can be the cause of typical bone structural changes seen in various pathologies. For this purpose, we used an established computational model for the simulation of bone adaptation. We performed two sensitivity analyses to evaluate the effect of the four factors on the trabecular structure, in both developing and adult bone. According to our simulations, alterations in mechanical load, bone cellular activities, mechanotransduction, and mechanical tissue properties may all result in bone structural changes similar to those observed in various pathologies. For example, our simulations confirmed that decreases in loading and increases in osteoclast number and activity may lead to osteoporotic changes. In addition, they showed that both increased loading and decreased bone matrix stiffness may lead to bone structural changes similar to those seen in osteoarthritis. Finally, we found that the model may help in gaining a better understanding of the contribution of individual

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Section: D Fea Modelmentioning

confidence: 99%

Analysis of bone architecture sensitivity for changes in mechanical loading, cellular activity, mechanotransduction, and tissue properties

Cox

Rietbergen

Donkelaar

et al. 2010

Biomech Model Mechanobiol

View full text Add to dashboard Cite

show abstract

“…More specifically, knowledge of the internal forces has been extensively used to provide improved understanding of clinical treatments e.g. joint replacement (Delp et al 1990;Piazza & Delp 2001) and its outcome (Jonkers et al 2008), or muscle replacement in crouch gait children (Delp et al 2007), but also to estimate the loading conditions in sports and activities of daily living (Pandy et al 1990;van Soest et al 1993;Bobbert 2001;Liu et al 2006;Lewis et al 2009;Blajer et al 2010). Direct measurement of muscle and joint contact forces is currently not possible, resulting in the recent development of MS modelling techniques that are able to provide access to these parameters, albeit indirectly, by means of numerical optimisation processes (Schellenberg et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Robustness of kinematic weighting and scaling concepts for musculoskeletal simulation

Schellenberg

Taylor

Jonkers

et al. 2017

Computer Methods in Biomechanics and Biomedical Engineering

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Musculoskeletal modelling is widely used to estimate internal loading conditions. In order to optimise robustness and reduce errors between the subject-specific reference motion data (RMD) and the musculoskeletal simulation, 90 permutations of kinetic and kinematic data were analysed during split squats. A ranking for the scaling and kinematic weighting concepts based on the RMS errors when including functional centres of rotation (fCoRs), joint angles, and skin markers, revealed that analyses should include fCoR in the scaling and the simulation processes, as well as an automated weighting procedure including all attached skin markers for optimal registration of the musculoskeletal model to the RMD.

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“…However, this would produce a direct increase in solution time and in this case, use of a single quasi-static load produced an acceptable agreement with clinical data, although this assumption may not be valid for all implant types. Of greater importance might be the consideration of patient specific hip contact and muscle forces, and their pre-to postoperative changes (Jonkers et al 2008). With sufficient input data, multi-patient analysis using this method could be achieved with relatively low computational expense by modifying this verified mesh by freeform deformation (Fernandez et al 2013), and employing mesh morphing to incorporate the effects of surgical variability (Bah et al 2011) and implant sizing.…”

Section: Discussionmentioning

confidence: 99%

Activity intensity, assistive devices and joint replacement influence predicted remodelling in the proximal femur

Dickinson

2015

Biomech Model Mechanobiol

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Bone morphology and density changes are commonly observed following joint replacement, and may contribute to the risks of implant loosening and periprosthetic fracture, and reduce the available bone stock for revision surgery. This study was presented in the "Bone and Cartilage Mechanobiology across the scales" WCCM symposium to review the development of remodelling prediction methods and to demonstrate simulation of adaptive bone remodelling around hip replacement femoral components, incorporating intrinsic (prosthesis) and extrinsic (activity and loading) factors.An iterative bone remodelling process was applied to finite element models of a femur implanted with a cementless THR (total hip replacement) and a hip resurfacing implant. Previously developed for a cemented THR implant, this modified process enabled the influence of pre-to postoperative changes in patient activity and joint loading to be evaluated. A control algorithm used identical pre-and postoperative conditions, and the predicted extents and temporal trends of remodelling were measured by generating virtual x-rays and DXA scans.The modified process improved qualitative and quantitative remodelling predictions for both the cementless THR and resurfacing implants, but demonstrated the sensitivity to DXA scan region definition and appropriate implant-bone position and sizing. Predicted remodelling in the intact femur in response to changed activity and loading demonstrated that in this simplified model, although the influence of the extrinsic effects were important, the mechanics of implantation were dominant. This study supports the application of predictive bone remodelling as one element in the range of physical and computational studies, which should be conducted in the pre-clinical evaluation of new prostheses.

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Relation between subject-specific hip joint loading, stress distribution in the proximal femur and bone mineral density changes after total hip replacement

Cited by 81 publications

References 27 publications

Analysis of bone architecture sensitivity for changes in mechanical loading, cellular activity, mechanotransduction, and tissue properties

Analysis of bone architecture sensitivity for changes in mechanical loading, cellular activity, mechanotransduction, and tissue properties

Robustness of kinematic weighting and scaling concepts for musculoskeletal simulation

Activity intensity, assistive devices and joint replacement influence predicted remodelling in the proximal femur

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