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Evaluation of degenerative changes in articular cartilage of osteoarthritis by Raman spectroscopy

机译:拉曼光谱法评估骨关节炎关节软骨的退行性变化

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Osteoarthritis (OA) is a very common joint disease in the aging population. Main symptom of OA is accompanied by degenerative changes of articular cartilage. Cartilage contains mostly type II collagen and proteoglycans, so it is difficult to access the quality and morphology of cartilage tissue in situ by conventional diagnostic tools (X-ray, MRI and echography) directly or indirectly. Raman spectroscopy is a label-free technique which enables to analyze molecular composition in degenerative cartilage. In this proposal, we aim to develop Raman spectroscopic system for the quality assessment of articular cartilage during arthroscopic surgery. Toward this goal, we are focusing on the proteoglycan content and collagen fiber alignment in cartilage matrix which may be associated with degenerative changes in OA, and we designed an original Raman device for remote sensing during arthroscopic surgery. In this project, we define the grading system for cartilage defect based on Raman spectroscopy, and we complete the evaluation of the Raman probing system which makes it possible to detect early stage of degenerative cartilage as a novel tool for OA diagnosis using human subject.
机译:骨关节炎(OA)是老龄化人群中非常常见的关节疾病。 OA的主要症状是伴随关节软骨的退行性改变。软骨主要包含II型胶原和蛋白聚糖,因此很难通过常规诊断工具(X射线,MRI和回波描记术)直接或间接获取软骨组织的质量和形态。拉曼光谱法是一种无标记技术,能够分析变性软骨中的分子组成。在这项建议中,我们旨在开发拉曼光谱系统,以在关节镜手术期间评估关节软骨的质量。为了实现这一目标,我们将重点放在软骨基质中的蛋白聚糖含量和胶原纤维排列,这可能与OA的退行性变化有关,我们设计了一种用于关节镜手术中遥感的原始拉曼设备。在这个项目中,我们定义了基于拉曼光谱的软骨缺陷分级系统,并完成了对拉曼探测系统的评估,这使得可以检测退行性软骨的早期状态,从而可以作为使用人类受试者进行OA诊断的新工具。

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