Integrating micro CT indices, CT imaging and computational modelling to assess the mechanical performance of fluoride treated bone

Sreenivasan, Dharshini; Watson, Maureen; Callon, Karen E.; Dray, Michael; Das, Raj; Grey, Andrew; Cornish, Jillian; Fernandez, Justin

doi:10.1016/j.medengphy.2013.07.013

Cited by 7 publications

(3 citation statements)

References 26 publications

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“…Two recent successful examples include a micro-finite-element model that predicted strength in bone following anabolic fluoride treatment in post-menopausal women as part of a double-blinded clinical study [61], and a micro-finite-element bone remodelling prediction validated against mechanically stimulated murine bone in vivo [35]. Such studies will present the clinical community with more confidence in computational predictions of bone treatments so that they may play a role in pilot testing and to inform the direction of large clinical trials.…”

Section: Discussionmentioning

confidence: 99%

“…Remodelling of biological tissues including bone has always been a challenge to validate in vivo and before microstructural models of bone can be used as part of clinical trials we need more double-blinded studies involving computational simulation integrated with human and animal models. Two recent successful examples include a micro-finite-element model that predicted strength in bone following anabolic fluoride treatment in post-menopausal women as part of a double-blinded clinical study [61], and a micro-finite-element bone remodelling prediction validated against mechanically stimulated murine bone in vivo [35]. Such studies will present the clinical community with more confidence in computational predictions of bone treatments so that they may play a role in pilot testing and to inform the direction of large clinical trials.…”

Section: Discussionmentioning

confidence: 99%

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Multiscale musculoskeletal modelling, data–model fusion and electromyography-informed modelling

Fernandez

Heidlauf

et al. 2016

Interface Focus.

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This paper proposes methods and technologies that advance the state of the art for modelling the musculoskeletal system across the spatial and temporal scales; and storing these using efficient ontologies and tools. We present population-based modelling as an efficient method to rapidly generate individual morphology from only a few measurements and to learn from the ever-increasing supply of imaging data available. We present multiscale methods for continuum muscle and bone models; and efficient mechanostatistical methods, both continuum and particle-based, to bridge the scales. Finally, we examine both the importance that muscles play in bone remodelling stimuli and the latest muscle force prediction methods that use electromyography-assisted modelling techniques to compute musculoskeletal forces that best reflect the underlying neuromuscular activity. Our proposal is that, in order to have a clinically relevant virtual physiological human, (i) bone and muscle mechanics must be considered together; (ii) models should be trained on population data to permit rapid generation and use underlying principal modes that describe both muscle patterns and morphology; and (iii) these tools need to be available in an open-source repository so that the scientific community may use, personalize and contribute to the database of models.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Multiscale musculoskeletal modelling, data–model fusion and electromyography-informed modelling

Fernandez

Heidlauf

et al. 2016

Interface Focus.

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“…Experimental information on microstructural features can be accounted for in multiscale models and FE simulations (Bourne and van der Meulen 2004; Hellmich Sansalone et al 2010Sansalone et al , 2012bWagner et al 2011;Blanchard et al 2013;Graeff et al 2013;Sreenivasan et al 2013). In particular, HP and mineral content of bone matrix (TMD) are known to relate with the mechanical properties of bone (Burr 2004).…”

Section: Discussionmentioning

confidence: 99%

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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Chronic exposure to lead acetate promotes changes in the alveolar bone of rats: microstructural and physical–chemical characterization

Davis

Aragão

Lopes

et al. 2021

Environ Sci Pollut Res

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Integrating micro CT indices, CT imaging and computational modelling to assess the mechanical performance of fluoride treated bone

Cited by 7 publications

References 26 publications

Multiscale musculoskeletal modelling, data–model fusion and electromyography-informed modelling

Multiscale musculoskeletal modelling, data–model fusion and electromyography-informed modelling

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

Chronic exposure to lead acetate promotes changes in the alveolar bone of rats: microstructural and physical–chemical characterization

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