Journal
JOURNAL OF BIOMECHANICS
Volume 116, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jbiomech.2021.110243
Keywords
Fragility fracture; Fracture toughness; DXA; Computed tomography; Raman spectroscopy; Osteoporosis
Categories
Funding
- NIAMS/NIH [R01AR070613, R21AR061285, P30AR069655]
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The study assessed bone fracture risk by measuring aBMD and fracture toughness using DXA, mCT, and Raman spectroscopy. It found that Raman spectroscopy significantly improved the prediction of fracture toughness, showing the potential to enhance diagnostic tools for assessing fragility fracture risk.
Bone fragility and fracture risk are assessed by measuring the areal bone mineral density (aBMD) using dual-energy X-ray absorptiometry (DXA). While aBMD correlates with bone strength, it is a poor predictor of fragility fracture risk. Alternatively, fracture toughness assesses the bone's resistance to crack propagation and fracture, making it a suitable bone quality metric. Here, we explored how femoral midshaft measurements from DXA, micro-computed tomography (mCT), and Raman spectroscopy could predict fracture toughness. We hypothesized that ovariectomy (OVX) decreases aBMD and fracture toughness compared to controls and we can optimize a multivariate assessment of bone quality by combining results from X-ray and Raman spectroscopy. Female mice underwent an OVX (n = 5) or sham (n = 5) surgery at 3 months of age. Femurs were excised 3 months after ovariectomy and assessed with Raman spectroscopy, mCT, and DXA. Subsequently, a notch was created on the anterior side of the mid-diaphysis of the femurs. Three-point bending induced a controlled fracture that initiated at the notch. The OVX mice had a significantly lower aBMD, cortical thickness, and fracture toughness when compared to controls (p < 0.05). A leave one out cross-validated (LOOCV) partial least squares regression (PLSR) model based only on the combination of aBMD and cortical thickness showed no significant predictive correlations with fracture toughness, whereas a PLSR model based on principal components derived from the full Raman spectra yielded significant prediction (r2 = 0.71, p < 0.05). Further, the PLSR model was improved by incorporating aBMD, cortical thickness, and principal components from Raman spectra (r2 = 0.92, p < 0.001). This exploratory study demonstrates combining X-ray with Raman spectroscopy leads to a more accurate assessment of bone fracture toughness and could be a useful diagnostic tool for the assessment of fragility fracture risk. <(c)> 2021 Elsevier Ltd. All rights reserved. Superscript/Subscript Available
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