Journal article
The application of finite element modelling based on clinical pQCT for classification of fracture status
DL Robinson, H Jiang, Q Song, C Yates, PVS Lee, JD Wark
Biomechanics and Modeling in Mechanobiology | Published : 2019
Abstract
Fracture risk assessment using dual-energy X-ray absorptiometry (DXA) frequently fails to diagnose osteoporosis amongst individuals who later experience fragility fractures. Hence, more reliable techniques that improve the prediction of fracture risk are needed. In this study, we evaluated a finite element (FE) modelling framework based on clinical peripheral quantitative computed tomography (pQCT) imaging of the tibial epiphysis and diaphysis to predict the stiffness at these locations in compression, shear, torsion and bending. The ability of these properties to identify a group of women who had recently sustained a low-trauma fracture from an age- and weight-matched control group was dete..
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Funding Acknowledgements
We thank all participants for consenting to provide their pQCT tibia scan data for this study. We duly acknowledge Ashwini Kale for diligently performing all pQCT scans, Richard Farrugia for facilitating patient recruitment and clinic coordination activities and Associate Professor Andrew Bucknill for his strong support of the Royal Melbourne Hospital fracture liaison service. This work was supported by a collaborative PhD scholarship provided by the University of Melbourne and the China Scholarship Council to HJ.