Osteoporosis is disease causing bone mass loss and deterioration of the trabecular structure. The trabecular network is very important to establish the mechanical competence of the skeleton. It is known that the trabecular microarchitecture can improve the fracture risk prediction up to 90%, for this reason the trabecular bone investigation has become of great interest for the scientific community. Several parameters provide structural details of the bone mechanical competence, however, the trabecular network tortuosity has not been seriously taken into account yet and its contribution is unknown. This paper directs attention to the trabecular tortuosity estimation and its correlation to the connectivity, through Euler-Poincaré characteristic, from in vitro distal radius bone samples by micro-computed tomographic images. A method to estimate the trabecular bone tortuosity is presented and its value is computed for both directions of the three volume axis. The results indicate that the trabecular tortuosity depends on the trabecular network quality and a positive correlation (r = 0.64) with the Euler-Poincaré characteristic. Inasmuch, it has been observed that the tortuosity tends to get aligned in the direction of main stress imposed on trabecular bone network. These results support the tortuosity as an important structural parameter.
Trabecular bone; Tortuosity; Euler-Poincaré characteristic; Mechanical Competence; Osteoporosis
