This study evaluates the feasibility of near infrared (NIR) spectroscopy to distinguish between different cartilage injury types associated with post-traumatic osteoarthritis and idiopathic osteoarthritis (OA) induced by mechanical and enzymatic damages. Bovine osteochondral samples (n = 72) were subjected to mechanical (n = 24) and enzymatic (n = 36) damage; NIR spectral measurements were acquired from each sample before and after damage, and from a separate control group (n = 12). Biomechanical measurements were then conducted to determine the functional integrity of the samples. NIR spectral variations resulting from different damage types were investigated and the samples classified using partial least squares discriminant analysis (PLS-DA). Partial least squares regression (PLSR) was then employed to investigate the relationship between the NIR spectra and biomechanical properties of the samples. Results of the study demonstrate that substantial spectral changes occur in the region of 1700-2200 nm due to tissue damages, while differences between enzymatically and mechanically induced damages can be observed mainly in the region of 1780-1810 nm. We conclude that NIR spectroscopy, combined with multivariate analysis, is capable of discriminating between cartilage injuries that mimic idiopathic OA and traumatic injuries based on specific spectral features. This information could be useful in determining the optimal treatment strategy during cartilage repair in arthroscopy.

中文翻译：

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近红外光谱技术可以区分机械和酶促软骨损伤。

这项研究评估了近红外（NIR）光谱法区分由机械和酶损伤引起的创伤后骨关节炎和特发性骨关节炎（OA）相关的不同软骨损伤类型的可行性。牛骨软骨样品（n = 72）受到机械（n = 24）和酶促（n = 36）损伤；从损坏之前和之后的每个样品以及一个单独的对照组（n = 12）获得NIR光谱测量值。然后进行生物力学测量以确定样品的功能完整性。研究了由不同损伤类型导致的NIR光谱变化，并使用偏最小二乘判别分析（PLS-DA）对样品进行了分类。然后采用偏最小二乘回归（PLSR）来研究NIR光谱与样品的生物力学性能之间的关系。研究结果表明，由于组织损伤，在1700-2200 nm范围内发生了实质性的光谱变化，而酶促和机械诱导的损伤之间的差异主要在1780-1810 nm范围内。我们得出的结论是，近红外光谱结合多变量分析，能够根据特定的光谱特征区分模仿特发性OA的软骨损伤和创伤性损伤。该信息可能有助于确定关节镜检查中软骨修复过程中的最佳治疗策略。研究结果表明，由于组织损伤，在1700-2200 nm范围内发生了实质性的光谱变化，而酶促和机械诱导的损伤之间的差异主要在1780-1810 nm范围内。我们得出的结论是，近红外光谱结合多变量分析，能够根据特定的光谱特征区分模仿特发性OA的软骨损伤和创伤性损伤。该信息可能有助于确定关节镜检查中软骨修复过程中的最佳治疗策略。研究结果表明，由于组织损伤，在1700-2200 nm范围内发生了实质性的光谱变化，而酶促和机械诱导的损伤之间的差异主要在1780-1810 nm范围内。我们得出的结论是，近红外光谱结合多变量分析，能够根据特定的光谱特征区分模仿特发性OA的软骨损伤和创伤性损伤。该信息可能有助于确定关节镜检查中软骨修复过程中的最佳治疗策略。能够根据特定频谱特征区分模仿特发性OA的软骨损伤和创伤性损伤。该信息可能有助于确定关节镜检查中软骨修复过程中的最佳治疗策略。能够根据特定频谱特征区分模仿特发性OA的软骨损伤和创伤性损伤。该信息可能有助于确定关节镜检查中软骨修复过程中的最佳治疗策略。