Afara Isaac Oluwaseun, Prasadam Indira, Moody Hayley, Crawford Ross, Xiao Yin, Oloyede Adekunle
School of Chemistry, Physics, and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia; Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
Arthroscopy. 2014 Sep;30(9):1146-55. doi: 10.1016/j.arthro.2014.04.097. Epub 2014 Jun 17.
The purpose of this study was to demonstrate the potential of near infrared (NIR) spectroscopy for characterizing the health and degenerative state of articular cartilage based on the components of the Mankin score.
Three models of osteoarthritic degeneration induced in laboratory rats by anterior cruciate ligament (ACL) transection, meniscectomy (MSX), and intra-articular injection of monoiodoacetate (1 mg) (MIA) were used in this study. Degeneration was induced in the right knee joint; each model group consisted of 12 rats (N = 36). After 8 weeks, the animals were euthanized and knee joints were collected. A custom-made diffuse reflectance NIR probe of 5-mm diameter was placed on the tibial and femoral surfaces, and spectral data were acquired from each specimen in the wave number range of 4,000 to 12,500 cm(-1). After spectral data acquisition, the specimens were fixed and safranin O staining (SOS) was performed to assess disease severity based on the Mankin scoring system. Using multivariate statistical analysis, with spectral preprocessing and wavelength selection technique, the spectral data were then correlated to the structural integrity (SI), cellularity (CEL), and matrix staining (SOS) components of the Mankin score for all the samples tested.
ACL models showed mild cartilage degeneration, MSX models had moderate degeneration, and MIA models showed severe cartilage degenerative changes both morphologically and histologically. Our results reveal significant linear correlations between the NIR absorption spectra and SI (R(2) = 94.78%), CEL (R(2) = 88.03%), and SOS (R(2) = 96.39%) parameters of all samples in the models. In addition, clustering of the samples according to their level of degeneration, with respect to the Mankin components, was also observed.
NIR spectroscopic probing of articular cartilage can potentially provide critical information about the health of articular cartilage matrix in early and advanced stages of osteoarthritis (OA).
This rapid nondestructive method can facilitate clinical appraisal of articular cartilage integrity during arthroscopic surgery.
本研究旨在基于曼金评分的组成部分,证明近红外(NIR)光谱在表征关节软骨健康和退变状态方面的潜力。
本研究使用了三种在实验室大鼠中诱导骨关节炎退变的模型,分别为前交叉韧带(ACL)横断、半月板切除术(MSX)以及关节内注射单碘乙酸(1毫克)(MIA)。退变在右膝关节诱导产生;每个模型组由12只大鼠组成(N = 36)。8周后,对动物实施安乐死并收集膝关节。将一个定制的直径5毫米的漫反射近红外探头放置在胫骨和股骨表面,并在4000至12500厘米⁻¹的波数范围内从每个标本获取光谱数据。在获取光谱数据后,将标本固定并进行番红O染色(SOS),以根据曼金评分系统评估疾病严重程度。然后,使用多变量统计分析以及光谱预处理和波长选择技术,将光谱数据与所有测试样本的曼金评分的结构完整性(SI)、细胞密度(CEL)和基质染色(SOS)组成部分相关联。
ACL模型显示出轻度软骨退变,MSX模型有中度退变,而MIA模型在形态学和组织学上均显示出严重的软骨退变变化。我们的结果揭示了模型中所有样本的近红外吸收光谱与SI(R² = 94.78%)、CEL(R² = 88.03%)和SOS(R² = 96.39%)参数之间存在显著的线性相关性。此外,还观察到样本根据其退变水平相对于曼金组成部分的聚类情况。
对关节软骨进行近红外光谱探测有可能提供有关骨关节炎(OA)早期和晚期关节软骨基质健康状况的关键信息。
这种快速无损的方法可便于在关节镜手术期间对关节软骨完整性进行临床评估。