Determination of hip-joint loading patterns of living and extinct mammals using an inverse Wolff’s law approach

Christen, Patrik; Ito, Keita; Galis, Frietson; Rietbergen, Bert van

doi:10.1007/s10237-014-0602-8

Cited by 34 publications

(41 citation statements)

References 26 publications

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“…This target value has also led to load estimates comparable to in vivo joint force measurements in the human hip [30]. The loading history is finally derived from the unit load magnitude and the scaling factors.…”

Section: Bone Loading Estimation Algorithmmentioning

confidence: 95%

Voxel size dependency, reproducibility and sensitivity of an in vivo bone loading estimation algorithm

Christen

Schulte

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et al. 2016

J. R. Soc. Interface.

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ResearchCite this article: Christen P et al. 2016 Voxel size dependency, reproducibility and sensitivity of an in vivo bone loading estimation algorithm. J. R. Soc. A bone loading estimation algorithm was previously developed that provides in vivo loading conditions required for in vivo bone remodelling simulations. The algorithm derives a bone's loading history from its microstructure as assessed by high-resolution (HR) computed tomography (CT). This reverse engineering approach showed accurate and realistic results based on micro-CT and HR-peripheral quantitative CT images. However, its voxel size dependency, reproducibility and sensitivity still need to be investigated, which is the purpose of this study. Voxel size dependency was tested on cadaveric distal radii with micro-CT images scanned at 25 mm and downscaled to 50, 61, 75, 82, 100, 125 and 150 mm. Reproducibility was calculated with repeated in vitro as well as in vivo HR-pQCT measurements at 82 mm. Sensitivity was defined using HR-pQCT images from women with fracture versus non-fracture, and low versus high bone volume fraction, expecting similar and different loading histories, respectively. Our results indicate that the algorithm is voxel size independent within an average (maximum) error of 8.2% (32.9%) at 61 mm, but that the dependency increases considerably at voxel sizes bigger than 82 mm. In vitro and in vivo reproducibility are up to 4.5% and 10.2%, respectively, which is comparable to other in vitro studies and slightly higher than in other in vivo studies. Subjects with different bone volume fraction were clearly distinguished but not subjects with and without fracture. This is in agreement with bone adapting to customary loading but not to fall loads. We conclude that the in vivo bone loading estimation algorithm provides reproducible, sensitive and fairly voxel size independent results at up to 82 mm, but that smaller voxel sizes would be advantageous.

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Section: Bone Loading Estimation Algorithmmentioning

confidence: 95%

Voxel size dependency, reproducibility and sensitivity of an in vivo bone loading estimation algorithm

Christen

Schulte

Zwahlen

et al. 2016

J. R. Soc. Interface.

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“…And second, tissue loading is calculated based on an estimated loading history. Although the approach to determine subject-specific loading histories was validated earlier 27 and showed realistic results in human [28][29][30] , dog 28 and mouse 31 bone, it is only an estimate.…”

Section: Discussionmentioning

confidence: 99%

“…Earlier mesh convergence studies suggest that the image resolution of 82 mm is still adequate for accurate finite element analyses in general [41][42][43] , while the element size over structural length ratio (0.009) in the present study is still within a well acceptable range 44 . Subject-specific loading conditions were determined using a previously developed and validated bone loading estimation algorithm [27][28][29][30][31] . Specifically to the bone loading estimation algorithm, we found that calculated normal forces in cubic bone microstructures differ by less than 20% when changing the resolution from 20 to 80 mm, indicating little image resolution dependency in that range 28 .…”

Section: Discussionmentioning

confidence: 99%

“…Subject-specific loading conditions were determined using a previously developed and validated bone loading estimation algorithm [27][28][29][30][31] . Specifically to the bone loading estimation algorithm, we found that calculated normal forces in cubic bone microstructures differ by less than 20% when changing the resolution from 20 to 80 mm, indicating little image resolution dependency in that range 28 . Although discretization and other errors in the solution could affect the SED calculation, the fact that we found a clear correlation between the local SED magnitude and bone remodelling indicates that such errors are likely small and do not affect our conclusions.…”

Section: Discussionmentioning

confidence: 99%

“…Sites of bone remodelling are identified based on baseline and 2-year follow-up high-resolution peripheral quantitative computed tomography (HR-pQCT) images of the distal tibia of nine healthy postmenopausal women [24][25][26] . To calculate local tissue loading, micro-FE models are created from baseline and follow-up images, and a previously developed bone loading estimation algorithm [27][28][29][30][31] is used to determine the external loading history for each subject and measurement.…”

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confidence: 99%

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Bone remodelling in humans is load-driven but not lazy

et al. 2014

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During bone remodelling, bone cells are thought to add and remove tissue at sites with high and low loading, respectively. To predict remodelling, it was proposed that bone is removed below and added above certain thresholds of tissue loading and within these thresholds, called a 'lazy zone', no net change in bone mass occurs. Animal experiments linking mechanical loading with changes in bone density or microstructure support load-adaptive bone remodelling, while in humans the evidence for this relationship at the micro-scale is still lacking. Using new high-resolution CT imaging techniques and computational methods, we quantify microstructural changes and physiological tissue loading in humans. Here, we show that bone remodelling sites in healthy postmenopausal women strongly correlate with tissue loading following a linear relationship without a 'lazy zone' providing unbiased evidence for load-driven remodelling in humans. This suggests that human and animal bones both react to loading induced remodelling in a similar fashion.

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Multiscale Biomechanics

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Determination of hip-joint loading patterns of living and extinct mammals using an inverse Wolff’s law approach

Cited by 34 publications

References 26 publications

Voxel size dependency, reproducibility and sensitivity of an in vivo bone loading estimation algorithm

Voxel size dependency, reproducibility and sensitivity of an in vivo bone loading estimation algorithm

Bone remodelling in humans is load-driven but not lazy

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