Author
Listed:
- Feliciano Franco
(Grupo Biomecánica Computacional, Facultad de Ingeniería, Universidad Nacional de Entre Ríos, Ruta 10, Km 11, Oro Verde 3100, Argentina
Departamento Ingeniería Industrial, Facultad Regional Santa Fe, Universidad Tecnológica Nacional, Lavaisse 610, Santa Fe 3000, Argentina)
- Carlos Borau
(Multiscale in Mechanical & Biological Engineering Research Group, Aragon Institute of Engineering Research (I3A), School of Engineering and Architecture, University of Zaragoza, 50009 Zaragoza, Spain
Centro Universitario de la Defensa de Zaragoza, 50090 Zaragoza, Spain)
- José Di Paolo
(Grupo Biomecánica Computacional, Facultad de Ingeniería, Universidad Nacional de Entre Ríos, Ruta 10, Km 11, Oro Verde 3100, Argentina
Departamento Ingeniería Industrial, Facultad Regional Santa Fe, Universidad Tecnológica Nacional, Lavaisse 610, Santa Fe 3000, Argentina)
- Marcelo Berli
(Grupo Biomecánica Computacional, Facultad de Ingeniería, Universidad Nacional de Entre Ríos, Ruta 10, Km 11, Oro Verde 3100, Argentina
Departamento Ingeniería Industrial, Facultad Regional Santa Fe, Universidad Tecnológica Nacional, Lavaisse 610, Santa Fe 3000, Argentina)
Abstract
Bone density distribution in the human femur is significantly influenced by mechanical forces that drive bone remodeling in response to physical demands. This study aims to assess how effectively mechanical factors alone explain femoral bone mass distribution and to identify areas where additional, non-mechanical influences may be required. We used a computational bone remodeling model to compare outcomes under two initial conditions: a uniform density distribution and one derived from tomographic imaging. Both conditions experienced identical mechanical loading, with the remodeling process simulated via finite element methods. Results demonstrated that mechanical loading substantially contributes to shaping bone density, but certain structural aspects, notably incomplete cortical bone formation in simulations starting from uniform density, suggest the involvement of other factors. The model also highlighted specific regions susceptible to bone loss under disuse scenarios, such as prolonged inactivity or microgravity. Our findings emphasize the need to incorporate non-mechanical factors and realistic initial conditions into computational models to enhance their applicability for personalized medical analyses.
Suggested Citation
Feliciano Franco & Carlos Borau & José Di Paolo & Marcelo Berli, 2025.
"Differential Mechanical and Biological Contributions to Bone Mass Distribution—Insights from a Computational Model of the Human Femur,"
Mathematics, MDPI, vol. 13(13), pages 1-22, June.
Handle:
RePEc:gam:jmathe:v:13:y:2025:i:13:p:2156-:d:1691892
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