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Comparison of histological grading to Fourier transform infrared imaging analysis of cartilage repair tissue

机译:软骨修复组织的组织学分级至傅立叶变换红外成像分析的比较

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Repair of cartilage after injury is challenging, and evaluation of progression of repair could be helpful towards clinical management. Histology is the traditional method used to assess cartilage repair, but requires a biopsy. Here, we assess whether histological information obtained from cartilage repair tissue in an animal model can be correlated to FTIR parameters obtained from the same tissue. A strong relation between the two would support the use of FTIR fiber optic assessment as a clinical tool. Correlations were found between histological tissue score and FTIR imaging parameters of collagen quantity and collagen integrity (p=0.051 and 0.042, respectively). Infrared fiber optic probe spectra obtained from the repair tissue were evaluated for use as predictors of repair or normal tissue, and histological tissue score as well. Repair tissue was correctly distinguished from normal tissue in 47 out of 69 tissues. A partial least squares (PLS) model was also generated where spectra were used to predict histology score (out of a possible best score of 24) with a root mean square error (RMSE) of calibration of 1.70, and an RMSE of validation of 3.59. Together, these data show the potential for an FTIR-based determination of cartilage repair tissue quality.
机译:损伤后软骨的修复具有挑战性,并且评估修复的进展可能有助于临床管理。组织学是用于评估软骨修复的传统方法,但需要进行活检。在这里,我们评估从动物模型中的软骨修复组织获得的组织学信息是否可以与从同一组织获得的FTIR参数相关。两者之间的紧密联系将支持将FTIR光纤评估用作临床工具。组织学评分与FTIR成像参数,胶原蛋白数量和胶原蛋白完整性之间存在相关性(分别为p = 0.051和0.042)。评价了从修复组织获得的红外光纤探针光谱,以用作修复或正常组织的预测指标,并评估了组织学评分。在69个组织中,有47个组织正确地将修复组织与正常组织区分开。还生成了偏最小二乘(PLS)模型,其中光谱用于预测组织学评分(可能的最佳评分为24),校准的均方根误差(RMSE)为1.70,RMSE验证为3.59 。这些数据一起显示了基于FTIR的软骨修复组织质量测定的潜力。

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