Article: Goff, MG; Lambers, FM; Sorna, RM; Keaveny, TM; Hernandez, CJ; (2015) “Finite Element Models Predict The Location of Microdamage in Cancellous Bone Following Uniaxial Loading”, Journal of Biomechanics, 48 (15): 4142-4148
Abstract: High-resolution finite element models derived from micro-computed tomography images are often used to study the effects of trabecular microarchitecture and loading mode on tissue stress, but the degree to which existing finite element methods correctly predict the location of tissue failure is not well characterized. In the current study, we determined the relationship between the location of highly strained tissue, as determined from high-resolution finite element models, and the location of tissue microdamage, as determined from three-dimensional fluoroscopy imaging, which was performed after the microdamage was generated in-vitro by mechanical testing. Fourteen specimens of human vertebral cancellous bone were assessed (8 male donors, 2 female donors, 47-78 years of age). Regions of stained microdamage, were 50-75% more likely to form in highly strained tissue (principal strains exceeding 0.4%) than elsewhere, and generally the locations of the regions of microdamage were significantly correlated (p < 0.05) with the locations of highly strained tissue. This spatial correlation was stronger for the largest regions of microdamage (>= 1,000,000 mu m(3) in volume); 87% of large regions of microdamage were located near highly strained tissue.
Together, these findings demonstrate that there is a strong correlation between regions of microdamage and regions of high strain in human cancellous bone, particularly for the biomechanically more important large instances of microdamage. (C) 2015 Elsevier Ltd. All rights reserved.
Funding Acknowledgement: National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health (US) [AR057362]; NIH [8U42OD011158-22]
Funding Text: Research reported in this publication was supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health (US) under Award number AR057362 (PI CJH). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. We acknowledge use of human vertebral bodies provided by the National Disease Research Interchange (NDRI), with support from NIH Grant 8U42OD011158-22. We thank Ivana H. Yi and Michael G. Jekir for performing the mechanical tests.