Engineering and Computer Science Faculty Publications
The Relationships Between Femoral Cortex Geometry and Tissue Mechanical Properties
Document Type
Article
Publication Date
5-2013
Journal Title
Journal of the Mechanical Behavior of Biomedical Materials
Volume
21
First Page
9
Last Page
16
DOI
10.1016/j.jmbbm.2012.12.014
Abstract
Bone tissue and geometry are constantly modified through modeling and remodeling at the periosteal, endosteal and intracortical envelopes. Results from several studies indicate that femoral bone geometry is a predictor of whole bone strength (e.g. femoral neck strength), however, it is not known whether there is a relationship between bone structural and material properties. Bone geometry can be determined from parameters based on plane X-ray radiogrammetry which are used to evaluate femoral bone quality for implant success. If there is a relationship between these parameters and tissue mechanical properties, this would have implications in the interpretation of such parameters for assessment of fracture risk and in further understanding of bone biology. Following measurement of radiogrammetric parameters from antero-posterior and medio-lateral X-rays (cortical thickness, bone diameter, bone area, moment of inertia, cortical index, Singh index), human femurs were machined into standard test specimens for assessment of tensile fracture toughness (GIc) of the tissue. Results indicated that tensile fracture toughness generally increased with increasing bone size. We also found that fracture toughness of the tissue was significantly related to radiogrammetric indices and that some of these indices explained a greater variability in toughness than porosity, age or gender.
Keywords
Cortical bone; Femoral bone quality; Fracture toughness; Femoral bone geometry; X-ray radiogrammetry
Recommended Citation
Yener, Y. N.; Brown, C. U.; Gruen, T. A.; and Norman, Timothy L., "The Relationships Between Femoral Cortex Geometry and Tissue Mechanical Properties" (2013). Engineering and Computer Science Faculty Publications. 203.
https://digitalcommons.cedarville.edu/engineering_and_computer_science_publications/203