Journal
JOURNAL OF BIOMECHANICS
Volume 80, Issue -, Pages 63-71Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jbiomech.2018.08.030
Keywords
High-resolution peripheral quantitative computed tomography; Bone mineral density; Bone microarchitecture; Bone strength; Finite element analysis; Micro-FE
Categories
Funding
- National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health [R01 AR061445]
- Natural Sciences and Engineering Research Council of Canada [261693-2013]
Ask authors/readers for more resources
The finite element (FE) method based on high-resolution peripheral quantitative computed tomography (HR-pQCT) use a variety of tissue constitutive properties and boundary conditions at different laboratories making comparison of mechanical properties difficult. Furthermore, the advent of a second-generation HR-pQCT poses challenges due to improved resolution and a larger region of interest (ROI). This study addresses the need to harmonize results across FE models. The aims are to establish the relationship between FE results as a function of boundary conditions and a range of tissue properties for the first-generation HR-pQCT system, and to determine appropriate model parameters for the second-generation HR-pQCT system. We implemented common boundary conditions and tissue properties on a large cohort (N = 1371), and showed the relationships were highly linear (R-2 > 0.99) for yield strength and reaction force between FE models. Cadaver radii measured on both generation HR-pQCT with matched ROls were used to back-calculate a tissue modulus that accounts for the increased resolution (61 tim versus 82 mu m), resulting in a modulus of 8748 MPa for second-generation HR-pQCT to produce bone yield strength and reaction force equivalent to using 6829 MPa for first-generation HR-pQCT. Finally, in vivo scans (N = 61) conducted on both generations demonstrated that the larger ROI in the second-generation system results in stronger bone outcome measures, suggesting it is not advisable to convert FE results across HR-pQCT generations without matching ROIs. Together, these findings harmonize FE results by providing a means to compare findings with different boundary conditions and tissue properties, and across scanner generations. (C) 2018 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available