Non-destructive evaluation of articular cartilage defects using near-infrared (NIR) spectroscopy in osteoarthritic rat models and its direct relation to Mankin score
Non-destructive evaluation of articular cartilage defects using near-infrared (NIR) spectroscopy in osteoarthritic rat models and its direct relation to Mankin score
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DOI：
10.1016/j.joca.2012.07.007
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发表时间：
2012-11-01
影响因子：
7
通讯作者：
Oloyede, A.
中科院分区：
文献类型：
--
作者：
Afara, I.;Prasadam, I.;Oloyede, A.
目的：方法：采用骨关节炎（osteoarthritis，OA）动物模型，分别采用前交叉韧带切断（anterior cruciate ligament，ACLT）、前交叉韧带切除（anterior cruciate ligament，MSX）、前交叉韧带切断（anterior cruciate ligament，ACLT）、前交叉韧带切断（anterior cruciate ligament，AC（3）右膝关节内注射单碘乙酸钠1 mg（MIA），每个模型组12只。8周后，处死动物，收集胫骨膝关节。将定制的直径为5 mm的近红外（NIR）探头放置在软骨表面上，并在波数范围4，000 - 12，500 cm（-1）内从每个标本获取光谱数据。光谱数据采集后，固定标本，并进行番红-O染色，以根据Mankin评分系统评估疾病严重程度。使用基于主成分分析和偏最小二乘回归的多元统计分析，光谱数据，然后与Mankin评分的samples.Results：轻度到重度退行性软骨变化观察到的主题动物。ACLT模型在形态学和组织学上均表现为轻度软骨退变，MSX模型表现为中度软骨退变，MIA模型表现为重度软骨退变。我们的研究结果表明，近红外光谱信息是能够分离的软骨样品到不同的组相对于退化的严重程度，与近红外显着相关的Mankin评分（R-2 = 88.85%）。结论：我们得出结论，近红外是一个可行的工具，用于评估关节软骨的健康和物理特性，如厚度的变化与退化。(C)2012年国际骨关节炎研究学会。由爱思唯尔有限公司出版。保留所有权利。
Objective: The aim of this study was to demonstrate the potential of near-infrared (NIR) spectroscopy for categorizing cartilage degeneration induced in animal models.Method: Three models of osteoarthritic degeneration were induced in laboratory rats via one of the following methods: (1) menisectomy (MSX); (2) anterior cruciate ligament transection (ACLT); and (3) intra-articular injection of mono-ido-acetate (1 mg) (MIA), in the right knee joint, with 12 rats per model group. After 8 weeks, the animals were sacrificed and tibial knee joints were collected. A custom-made near-infrared (NIR) probe of diameter 5 mm was placed on the cartilage surface and spectral data were acquired from each specimen in the wave number range 4,000-12,500 cm(-1). Following spectral data acquisition, the specimens were fixed and Safranin-O staining was performed to assess disease severity based on the Mankin scoring system. Using multivariate statistical analysis based on principal component analysis and partial least squares regression, the spectral data were then related to the Mankin scores of the samples tested.Results: Mild to severe degenerative cartilage changes were observed in the subject animals. The ACLT models showed mild cartilage degeneration, MSX models moderate, and MIA severe cartilage degenerative changes both morphologically and histologically. Our result demonstrates that NIR spectroscopic information is capable of separating the cartilage samples into different groups relative to the severity of degeneration, with NIR correlating significantly with their Mankin score (R-2 = 88.85%).Conclusion: We conclude that NIR is a viable tool for evaluating articular cartilage health and physical properties such as change in thickness with degeneration. (C) 2012 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.