Aberrant pelvis and hip kinematics impair hip loading before and after total hip replacement

Lenaerts, Gerlinde; Mulier, Michiel; Spaepen, Arthur; Perre, Georges Van der; Jonkers, Ilse

doi:10.1016/j.gaitpost.2009.05.016

Cited by 63 publications

(44 citation statements)

References 34 publications

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“…The presence of pathological hip kinematics i.e. with reduced hip extension and adduction compared to the near normal kinematics reported by Bergman contributes to the observed differences Lenaerts et al, 2009). Furthermore, as no information on the patient's hip geometry is available, a clear comparison between both data sets is difficult.…”

Section: Variablementioning

confidence: 90%

Subject-specific hip geometry and hip joint centre location affects calculated contact forces at the hip during gait

Lenaerts

Bartels

Gelaude

et al. 2009

Journal of Biomechanics

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102

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Section: Variablementioning

confidence: 90%

Subject-specific hip geometry and hip joint centre location affects calculated contact forces at the hip during gait

Lenaerts

Bartels

Gelaude

et al. 2009

Journal of Biomechanics

Self Cite

102

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“…Because musculoskeletal geometry and tissue properties can vary markedly among individuals, the accuracy of generic models has been questioned [5], [6], particularly when studying musculoskeletal disorders [7], [8]. Conversely, subject-specific models allow inclusion of individual musculoskeletal anatomy and properties, providing an alternative approach to calculating muscle moment arms [9], [10], muscle and joint forces [11], [12], bone and cartilage stresses [13], [14].…”

Section: Introductionmentioning

confidence: 99%

Are Subject-Specific Musculoskeletal Models Robust to the Uncertainties in Parameter Identification?

Valente

Pitto

Testi³

et al. 2014

PLoS ONE

158

176

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Subject-specific musculoskeletal modeling can be applied to study musculoskeletal disorders, allowing inclusion of personalized anatomy and properties. Independent of the tools used for model creation, there are unavoidable uncertainties associated with parameter identification, whose effect on model predictions is still not fully understood. The aim of the present study was to analyze the sensitivity of subject-specific model predictions (i.e., joint angles, joint moments, muscle and joint contact forces) during walking to the uncertainties in the identification of body landmark positions, maximum muscle tension and musculotendon geometry. To this aim, we created an MRI-based musculoskeletal model of the lower limbs, defined as a 7-segment, 10-degree-of-freedom articulated linkage, actuated by 84 musculotendon units. We then performed a Monte-Carlo probabilistic analysis perturbing model parameters according to their uncertainty, and solving a typical inverse dynamics and static optimization problem using 500 models that included the different sets of perturbed variable values. Model creation and gait simulations were performed by using freely available software that we developed to standardize the process of model creation, integrate with OpenSim and create probabilistic simulations of movement. The uncertainties in input variables had a moderate effect on model predictions, as muscle and joint contact forces showed maximum standard deviation of 0.3 times body-weight and maximum range of 2.1 times body-weight. In addition, the output variables significantly correlated with few input variables (up to 7 out of 312) across the gait cycle, including the geometry definition of larger muscles and the maximum muscle tension in limited gait portions. Although we found subject-specific models not markedly sensitive to parameter identification, researchers should be aware of the model precision in relation to the intended application. In fact, force predictions could be affected by an uncertainty in the same order of magnitude of its value, although this condition has low probability to occur.

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“…The hip contact force (HCF) is a relevant measure of joint loading. Changes in HCF have been related to osteoarthritis (OA) of the hip and knee . However, experimental measurement of HCFs is not trivial and relies on the use of instrumented prostheses in hip arthroplasty patients .…”

mentioning

confidence: 99%

Muscle optimization techniques impact the magnitude of calculated hip joint contact forces

Wesseling

Derikx

Groote

et al. 2014

Journal Orthopaedic Research

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In musculoskeletal modelling, several optimization techniques are used to calculate muscle forces, which strongly influence resultant hip contact forces (HCF). The goal of this study was to calculate muscle forces using four different optimization techniques, i.e., two different static optimization techniques, computed muscle control (CMC) and the physiological inverse approach (PIA). We investigated their subsequent effects on HCFs during gait and sit to stand and found that at the first peak in gait at 15–20% of the gait cycle, CMC calculated the highest HCFs (median 3.9 times peak GRF (pGRF)). When comparing calculated HCFs to experimental HCFs reported in literature, the former were up to 238% larger. Both static optimization techniques produced lower HCFs (median 3.0 and 3.1 pGRF), while PIA included muscle dynamics without an excessive increase in HCF (median 3.2 pGRF). The increased HCFs in CMC were potentially caused by higher muscle forces resulting from co‐contraction of agonists and antagonists around the hip. Alternatively, these higher HCFs may be caused by the slightly poorer tracking of the net joint moment by the muscle moments calculated by CMC. We conclude that the use of different optimization techniques affects calculated HCFs, and static optimization approached experimental values best. © 2014 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 33:???–???, 2015.

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Aberrant pelvis and hip kinematics impair hip loading before and after total hip replacement

Cited by 63 publications

References 34 publications

Subject-specific hip geometry and hip joint centre location affects calculated contact forces at the hip during gait

Subject-specific hip geometry and hip joint centre location affects calculated contact forces at the hip during gait

Are Subject-Specific Musculoskeletal Models Robust to the Uncertainties in Parameter Identification?

Muscle optimization techniques impact the magnitude of calculated hip joint contact forces

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