Shu Chi, Chen Keren, Lynch Maria, Maher Jason R, Awad Hani A, Berger Andrew J
The Institute of Optics, University of Rochester, 275 Hutchison Rd, Rochester, NY 14620, USA.
Contributed equally to this work and should be considered joint first authors.
Biomed Opt Express. 2018 Sep 12;9(10):4781-4791. doi: 10.1364/BOE.9.004781. eCollection 2018 Oct 1.
Bone strength is a worldwide health concern. Although multiple techniques have been developed to evaluate bone quality, there are still gaps to be filled. Here we report a non-invasive approach for the prediction of bone strength using spatially offset Raman spectroscopy. Raman spectra were acquired transcutaneously from the tibiae of mice from 4 to 23 weeks old and subsequently on the exposed bones. Partial least squares regression was applied to generate predictions of the areal bone mineral density (aBMD), volumetric bone mineralization density (vBMD), and maximum torque (MT) of each tibia as quantified by dual-energy X-ray absorptiometry, microCT imaging, and biomechanical tests, respectively. Significant correlations were observed between Raman spectral predictions and the reference values in all three categories. To our knowledge, this is the first demonstration of Raman spectroscopy predicting a biomechanical bone parameter (MT) with an uncertainty much smaller than the spread in the reference values.
骨强度是一个全球性的健康问题。尽管已经开发出多种技术来评估骨质量，但仍有空白有待填补。在此，我们报告一种使用空间偏移拉曼光谱预测骨强度的非侵入性方法。从4至23周龄小鼠的胫骨经皮采集拉曼光谱，随后在暴露的骨头上采集。应用偏最小二乘回归分别生成通过双能X射线吸收法、显微CT成像和生物力学测试量化的各胫骨的骨面积密度（aBMD）、骨体积矿化密度（vBMD）和最大扭矩（MT）的预测值。在所有三个类别中，拉曼光谱预测值与参考值之间均观察到显著相关性。据我们所知，这是首次证明拉曼光谱能够预测生物力学骨参数（MT），且不确定性远小于参考值的离散度。
