Osteoporosis is one of the most common chronic diseases of the musculoskeletal system. New bone treatments require in vivo testing before clinical translation, and the mouse tibia is one of the most commonly used animal models. In order evaluate the effect of treatments on bone and to facilitate clinical translation of the results, it is important to accurately estimate the tibia strength in preclinical studies. In this study, we have used computational (finite element) models to estimate the strength of twenty tibiae and evaluated the predictive accuracy of each method against experimental data. The geometry of each tibia was acquired using high-resolution computed tomography images, which were subsequently used to generate the computational models. Afterwards, each tibia was tested in compression to measure their mechanical properties. By comparing the computational and experimental results, we defined a procedure that can be applied to study the effect of interventions on the bone mechanical properties.
Oliviero, S., Roberts, M., Owen, R., Reilly, G. C., Bellantuono, I., Dall’Ara, E. (2021), “Non-invasive prediction of the mouse tibia mechanical properties from microCT images: comparison between different Finite Element models”, Biomechanics and Modelling in Mechanobiology, URL: https://doi.org/10.1007/s10237-021-01422-y
Oliviero, S., Owen, R., Reilly, G. C., Bellantuono, I., Dall’Ara, E. (2021), “Optimization of the failure criterion in micro-Finite Element models of the mouse tibia for the non-invasive prediction of its failure load in preclinical applications”, Journal of the Mechanical Behavior of Biomedical Materials, 113 (104190), URL: https://doi.org/10.1016/j.jmbbm.2020.104190