Anatomical distribution of the degree of mineralization of bone tissue in human femoral neck: Impact on biomechanical properties

Sansalone, V.; Bousson, V.; Naı̈li, S.; Bergot, C.; Peyrin, Françoise; Laredo, Jean‐Denis; Haïat, Guillaume

doi:10.1016/j.bone.2011.12.020

Cited by 40 publications

(21 citation statements)

References 44 publications

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“…This is largely unrealistic. As previous studies have shown, elastic moduli in the femoral neck are not only heterogeneous-as already underlinedbut also show a global tendency to decrease radially from the periosteum inwards (Sansalone et al 2010(Sansalone et al , 2012a and axially from the distal to the proximal part of the femoral neck (Sansalone et al 2012b). These variations have been shown to be related to the anatomical variations of HP-increasing from the periosteum inward-and TMD-decreasing from the distal to the proximal part.…”

Section: Limitations and Future Research Directionsmentioning

confidence: 81%

“…A stochastic multiscale model of cortical bone was developed by introducing a stochastic treatment of some modelling parameters (volume fractions of bone components) in the deterministic multiscale model proposed in previous work by our group (Sansalone et al 2010(Sansalone et al , 2012a. …”

Section: Modelmentioning

confidence: 99%

“…Recently, a multiscale model based on continuum micromechanics was proposed by our group to estimate the elastic properties of bone tissue (Sansalone et al 2010(Sansalone et al , 2012a. The experimental information was obtained using synchrotron radiation micro-computed tomography (SR-μCT) which provided a 3-D mapping of the HP and TMD with a spatial resolution of about 10 µm.…”

Section: Introductionmentioning

confidence: 99%

“…The experimental information was obtained using synchrotron radiation micro-computed tomography (SR-μCT) which provided a 3-D mapping of the HP and TMD with a spatial resolution of about 10 µm. The SR-μCT images were used to determine the heterogeneous composition of bone and, in turn, to compute the heterogeneous elastic properties of one (Sansalone et al 2010(Sansalone et al , 2012b or several (Sansalone et al 2012a) bone samples obtained from the inferior femoral neck of elderly patients.…”

Section: Introductionmentioning

confidence: 99%

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Stochastic multiscale modelling of cortical bone elasticity based on high-resolution imaging

Sansalone

Gagliardi

Desceliers

et al. 2015

Biomech Model Mechanobiol

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Accurate and reliable assessment of bone quality requires predictive methods which could probe bone microstructure and provide information on bone mechanical properties. Multiscale modelling and simulation represent a fast and powerful way to predict bone mechanical properties based on experimental information on bone microstructure as obtained through X-ray-based methods. However, technical limitations of experimental devices used to inspect bone microstructure may produce blurry data, especially in in vivo conditions. Uncertainties affecting the experimental data (input) may question the reliability of the results predicted by the model (output). Since input data are uncertain, deterministic approaches are limited and new modelling paradigms are required. In this paper, a novel stochastic multiscale model is developed to estimate the elastic properties of bone while taking into account uncertainties on bone composition. Effective elastic properties of cortical bone tissue were computed using a multiscale model based on continuum micromechanics. Volume fractions of bone components (collagen, mineral, and water) were considered as random variables whose probabilistic description was built using the maximum entropy principle. The relevance of this approach was proved by analysing a human bone sample taken from the inferior femoral neck. The sample was imaged using synchrotron radiation micro-computed tomography. 3-D distributions of Haversian porosity and tissue mineral density extracted from these images supplied the experimental information needed to build the stochastic models of the volume fractions. Thus, the stochastic multiscale model provided reliable statistical information (such as mean values and confidence intervals) on bone elastic properties at the tissue scale. Moreover, the existence of a simpler "nominal model", accounting for the main features of the stochastic model, was investigated. It was shown that such a model does exist, and its relevance was discussed.

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Section: Limitations and Future Research Directionsmentioning

confidence: 81%

Section: Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Stochastic multiscale modelling of cortical bone elasticity based on high-resolution imaging

Sansalone

Gagliardi

Desceliers

et al. 2015

Biomech Model Mechanobiol

View full text Add to dashboard Cite

show abstract

“…In addition, tissue variations in the axial direction of the femoral neck are responsible for important alterations in bone elasticity. Therefore, this spatial heterogeneity of elastic coefficients of bone tissue has consequences for bone as an organ [9,10] . In a similar fashion, mineral crystals at the external cortical bone surfaces of the femoral neck of patients with a fractured hip are larger than in a nonfracture control group.…”

Section: The Medical Problemmentioning

confidence: 99%