School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia.
Bone. 2013 Apr;53(2):350-7. doi: 10.1016/j.bone.2012.12.042. Epub 2012 Dec 27.
Determining the properties and integrity of subchondral bone in the developmental stages of osteoarthritis, especially in a form that can facilitate real-time characterization for diagnostic and decision-making purposes, is still a matter for research and development. This paper presents relationships between near infrared absorption spectra and properties of subchondral bone obtained from 3 models of osteoarthritic degeneration induced in laboratory rats via: (i) menisectomy (MSX); (ii) anterior cruciate ligament transaction (ACL); and (iii) intra-articular injection of mono-ido-acetate (1mg) (MIA), in the right knee joint, with 12 rats per model group (N=36). After 8weeks, the animals were sacrificed and knee joints were collected. A custom-made diffuse reflectance NIR probe of diameter 5mm was placed on the tibial surface and spectral data were acquired from each specimen in the wavenumber range 4000-12500cm(-1). After spectral acquisition, micro computed tomography (micro-CT) was performed on the samples and subchondral bone parameters namely: bone volume (BV) and bone mineral density (BMD) were extracted from the micro-CT data. Statistical correlation was then conducted between these parameters and regions of the near infrared spectra using multivariate techniques including principal component analysis (PCA), discriminant analysis (DA), and partial least squares (PLS) regression. Statistically significant linear correlations were found between the near infrared absorption spectra and subchondral bone BMD (R(2)=98.84%) and BV (R(2)=97.87%). In conclusion, near infrared spectroscopic probing can be used to detect, qualify and quantify changes in the composition of the subchondral bone, and could potentially assist in distinguishing healthy from OA bone as demonstrated with our laboratory rat models.
确定骨关节炎发育阶段的软骨下骨的特性和完整性,特别是能够促进实时特征化以用于诊断和决策目的的形式,仍然是研究和开发的主题。本文介绍了通过以下 3 种模型在实验室大鼠中诱导的骨关节炎退变:(i)半月板切除术(MSX);(ii)前交叉韧带横断术(ACL);和(iii)关节内注射单碘乙酸(1mg)(MIA),在右膝关节中,每种模型组有 12 只大鼠(N=36)之间近红外吸收光谱与软骨下骨特性之间的关系。8 周后,处死动物并收集膝关节。将直径为 5mm 的定制漫反射近红外探头放置在胫骨表面上,并从每个标本的波数范围 4000-12500cm(-1) 中获取光谱数据。光谱采集后,对样品进行微计算机断层扫描(micro-CT),并从 micro-CT 数据中提取软骨下骨参数,即:骨体积(BV)和骨矿物质密度(BMD)。然后使用多元技术,包括主成分分析(PCA)、判别分析(DA)和偏最小二乘(PLS)回归,对这些参数与近红外光谱的区域进行统计相关性分析。近红外吸收光谱与软骨下骨 BMD(R(2)=98.84%)和 BV(R(2)=97.87%)之间存在显著的线性相关性。总之,近红外光谱探测可用于检测、定性和定量软骨下骨组成的变化,并有可能如我们的实验室大鼠模型所示,有助于区分健康和 OA 骨。