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Monitoring the Progression of Spontaneous Articular Cartilage Healing with Infrared Spectroscopy

机译：红外光谱监测自发性软骨愈合的过程

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Objective. Evaluation of early compositional changes in healing articular cartilage is critical for understanding tissue repair and for therapeutic decision-making. Fourier transform infrared imaging spectroscopy (FT-IRIS) can be used to assess the molecular composition of harvested repair tissue. Furthermore, use of an infrared fiber-optic probe (IFOP) has the potential for translation to a clinical setting to provide molecular information in situ. In the current study, we determined the feasibility of IFOP assessment of cartilage repair tissue in a rabbit model, and assessed correlations with gold-standard histology. Design. Bilateral osteochondral defects were generated in mature white New Zealand rabbits, and IFOP data obtained from defect and adjacent regions at 2, 4, 6, 8, 12, and 16 weeks postsurgery. Tissues were assessed histologically using the modified O'Driscoll score, by FT-IRIS, and by partial least squares (PLS) modeling of IFOP spectra. Results. The FT-IRIS parameters of collagen content, proteoglycan content, and collagen index correlated significantly with modified O'Driscoll score (P = 0.05, 0.002, and 0.02, respectively), indicative of their sensitivity to tissue healing. Repair tissue IFOP spectra were distinguished from normal tissue IFOP spectra in all samples by PLS analysis. However, the PLS model for prediction of histological score had a high prediction error, which was attributed to the spectral information being acquired from the tissue surface only. Conclusion. The strong correlations between FT-IRIS data and histological score support further development of the IFOP technique for clinical applications, although further studies to optimize data collection from the full sample depths are required.
机译：目的。评估关节软骨愈合中早期成分的变化对于了解组织修复和治疗决策至关重要。傅里叶变换红外成像光谱（FT-IRIS）可用于评估收获的修复组织的分子组成。此外，使用红外光纤探针（IFOP）可能会转换为临床设置，以就地提供分子信息。在本研究中，我们确定了IFOP评估兔模型中软骨修复组织的可行性，并评估了与金标准组织学的相关性。设计。在成年新西兰白兔中产生双侧骨软骨缺损，并且从术后2、4、6、8、12和16周的缺损及邻近区域获得IFOP数据。使用改良的O'Driscoll评分，FT-IRIS和IFOP光谱的偏最小二乘（PLS）模型对组织进行组织学评估。结果。胶原含量，蛋白聚糖含量和胶原指数的FT-IRIS参数与改良的O'Driscoll评分显着相关（分别为P = 0.05、0.002和0.02），表明它们对组织愈合的敏感性。通过PLS分析在所有样品中将修复组织IFOP光谱与正常组织IFOP光谱区分开。然而，用于组织学评分预测的PLS模型具有较高的预测误差，这归因于仅从组织表面获取光谱信息。结论。 FT-IRIS数据与组织学评分之间的强相关性支持IFOP技术在临床应用中的进一步发展，尽管需要进行进一步研究以优化从整个样本深度的数据收集。

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