Prediction of mechanical properties of cortical bone by quantitative computed tomography

Abstract The relevance of Finite-Element models for hip fracture prediction should be increased by the recent subject-specific methods based on computed tomography (CT-scan), regarding the geometry as well as the material properties. The present study focused on the prediction of subject-specific me...

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Bibliographic Details
Published in:Medical engineering & physics 2008-04, Vol.30 (3), p.321-328
Main Authors: Duchemin, L, Bousson, V, Raossanaly, C, Bergot, C, Laredo, J.D, Skalli, W, Mitton, D
Format: Article
Language:English
Subjects:
Aged
Aged, 80 and over
Biomechanics
Bone Density - physiology
Compressive Strength - physiology
Computed tomography
Cortical bone
Density
Elasticity
Female
Femur - diagnostic imaging
Femur - physiology
Finite Element Analysis
Human femur
Humans
Male
Mechanical properties
Middle Aged
Models, Biological
Radiology
Reproducibility of Results
Stress, Mechanical
Tensile Strength - physiology
Tomography, X-Ray Computed - methods
Weight-Bearing - physiology
Young's modulus
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Summary:Abstract The relevance of Finite-Element models for hip fracture prediction should be increased by the recent subject-specific methods based on computed tomography (CT-scan), regarding the geometry as well as the material properties. The present study focused on the prediction of subject-specific mechanical parameters of cortical bone (Young's modulus and ultimate strength) from the bone density measured by CT. A total of 46 compression and 46 tension samples from 13 donors (mean age ± S.D.: 81.8 ± 12.7 years) were harvested in the femoral mid-diaphysis and tested until failure. The Young's modulus and ultimate strength were linearly correlated with the bone density measured by CT, for tension as well as compression (0.43 < r2 < 0.72, p < 0.001). To take into account the remaining uncertainties on the mechanical properties prediction, the standard error of the estimate (S.E.E.) was evaluated in each case (2694–2788 MPa for Young's modulus, 13–16 MPa for ultimate strength). The significant correlations obtained in the present study and the quantification of the errors will be helpful for the assessment of the cortical mechanical properties from the CT-scan data in order to create subject-specific FE-models.
ISSN:1350-4533
1873-4030
DOI:10.1016/j.medengphy.2007.04.008