Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Bioeng. Biotechnol.

Sec. Biomechanics

Volume 13 - 2025 | doi: 10.3389/fbioe.2025.1673339

Inelastic Mechanical Descriptors for Osteoporotic Hip Fracture Discrimination with 3D-DXA-Based Nonlinear Finite Element Models

Provisionally accepted
  • 1Universitat Pompeu Fabra, Barcelona, Spain
  • 2CETIR Ascires, Barcelona, Spain
  • 33D-Shaper Medical, Barcelona, Spain

The final, formatted version of the article will be published soon.

Dual-energy X-ray absorptiometry (DXA) is the gold standard for diagnosing osteoporosis. Advances in 2D-3D modelling to generate patient-specific 3D-DXA models out of DXA images enable accurate volumetric representations of the femur, with potential for fracture risk prediction when combined with finite element (FE) analyses. This study evaluates the ability of 3D-DXA-based FE models to discriminate hip fractures under side-fall loading. We used a retrospective case-control study including 128 women, 64 of whom suffered a hip fracture. Mechanical descriptors, including strength, nonlinear deformation, residual displacement, and energy absorption under elastic-plastic assumptions, were derived from force-displacement curves. The area under the receiver operating characteristic curve (AUROC) showed that strength and trabecular volumetric bone mineral density (vBMD) equally discriminated between fracture and control subjects. Residual displacement due to plastic strain accumulation at failure emerged as a key descriptor which, when combined with strength, significantly improved fracture discrimination (ΔAUROC = 0.11 vs. areal bone mineral density (aBMD); ΔAUROC = 0.08 vs. trabecular vBMD). These findings highlight the potential of 3D-DXA and FE modelling to improve fracture assessment within current DXA-based clinical workflows.

Keywords: Biomechanics, Osteoporosis, Hip fracture discrimination, 3D-DXA, Finite Element

Received: 25 Jul 2025; Accepted: 30 Sep 2025.

Copyright: © 2025 Alizadeh, Ruiz Wills, del Rio, Di Gregorio, Humbert and Noailly. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Elham Alizadeh, elham.alizadeh@upf.edu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.