Characterization of cancellous and cortical bone strain in the in vivo mouse tibial loading model using microCT-based finite element analysis

Yang, Haisheng; Butz, Kent D.; Duffy, Daniel J.; Niebur, Glen L.; Nauman, Eric A.; Main, Russell P.

doi:10.1016/j.bone.2014.05.019

Cited by 84 publications

(89 citation statements)

References 35 publications

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“…Bone was segmented from soft tissue at threshold values which corresponded to a tissue mineral density of 530 mg hydroxyapatite per cubic centimeter (mg HA/cm 3 ) using a custom calibration phantom [31]. Segmented bone images were converted to finite element meshes of constant strain four-node tetrahedrons using a marching cubes algorithm (Visualization Toolkit, Kitware, Clifton Park, NY) [32]. The first principal strain and von Mises stress at the location of maximum periosteal strain converged to less than 5% difference at 100 μm when the element size was varied between 140 and 90 μm in 10 μm increments.…”

Section: Static and Dynamic Load-strain Calibrationsmentioning

confidence: 99%

Development of an in vivo rabbit ulnar loading model

Baumann

Aref

Turnbull

et al. 2015

Bone

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Section: Static and Dynamic Load-strain Calibrationsmentioning

confidence: 99%

Development of an in vivo rabbit ulnar loading model

Baumann

Aref

Turnbull

et al. 2015

Bone

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“…If one does hope to apply this methodology, we recommend using a sample-mean-based average longitudinal strain ratio for estimating shear strains as this resulted in a relationship closer to 1.0 and a somewhat tighter CI for the guineafowl TBT, in comparison to the individual-based strain multiplier. However, if a lower margin of error is desired, one should look towards other methods of assessing bone strains at noninstrumented locations, such as finite element analysis (Metzger et al, 2005;Panagiotopoulou et al, 2012;Yang et al, 2014).…”

Section: Pst: Shear Strainmentioning

confidence: 99%

Experimental tests of planar strain theory for predicting bone cross-sectional longitudinal and shear strains

Verner

Lehner

Lamas

et al. 2016

Journal of Experimental Biology

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Understanding of the diversity of skeletal loading regimes in vertebrate long bones during locomotion has been significantly enhanced by the application of planar strain theory (PST) to in vivo bone strain data. PST is used to model the distribution of longitudinal strains normal to the bone's transverse cross-section and the location of the neutral axis of bending. To our knowledge, the application of this theory to skeletal biomechanics has not been experimentally validated. We evaluated the accuracy of PST using strain measurements from emu tibiotarsi instrumented with four strain gauges and loaded in ex vivo four-point bending. Using measured strains from three-gauge combinations, PST was applied to predict strain values at a fourth gauge's location. Experimentally measured and predicted strain values correlated linearly with a slope near 1.0, suggesting that PST accurately predicts longitudinal strains. Additionally, we assessed the use of PST to extrapolate shear strains to locations on a bone not instrumented with rosette strain gauges. Guineafowl tibiotarsi were instrumented with rosette strain gauges and in vivo longitudinal and shear strains were measured during treadmill running. Individual-specific and sample-mean ratios between measured longitudinal strains from the medial and posterior bone surfaces were used to extrapolate posterior-site shear strain from shear strains measured on the medial surface. Measured and predicted shear strains at the posterior gauge site using either ratio showed trends for a positive correlation between measured and predicted strains, but the correlation did not equal 1.0 and had a nonzero intercept, suggesting that the use of PST should be carefully considered in the context of the goals of the study and the desired precision for the predicted shear strains.

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“…A good example of the integration of in silico analysis with in vivo and in vitro studies is the work developed by Yang et al [163]. The authors studied the strain field in mice tibiae using micro CT-based finite element analysis together with diaphyseal strain gauge measurements during in vivo dynamic compression loading.…”

Section: In Silicomentioning

confidence: 99%

From mechanical stimulus to bone formation: A review

Rosa

Simões

Magalhães

et al. 2015

Medical Engineering & Physics

102

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Bone is a remarkable tissue that can respond to external stimuli. The importance of mechanical forces on the mass and structural development of bone has long been accepted. This adaptation behaviour is very complex and involves multidisciplinary concepts, and significant progress has recently been made in understanding this process. In this review, we describe the state of the art studies in this area and highlight current insights while simultaneously clarifying some basic yet essential topics related to the origin of mechanical stimulus in bone, the biomechanisms associated with mechanotransduction, the nature of physiological bone stimuli and the test systems most commonly used to study the mechanical stimulation of bone.

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Characterization of cancellous and cortical bone strain in the in vivo mouse tibial loading model using microCT-based finite element analysis

Cited by 84 publications

References 35 publications

Development of an in vivo rabbit ulnar loading model

Development of an in vivo rabbit ulnar loading model

Experimental tests of planar strain theory for predicting bone cross-sectional longitudinal and shear strains

From mechanical stimulus to bone formation: A review

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