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Raman difference spectroscopy: a non-invasive method for identification of oral squamous cell carcinoma

机译:拉曼差异光谱:鉴定口腔鳞状细胞癌的一种非侵入性方法

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The feasibility of shifted-excitation Raman difference spectroscopy (SERDS) as a label-free and non-invasive technique for an objective diagnosis of oral cancer (OSCC) was investigated by analyzing 12 ex vivo OSCC samples. 72 mean SERDS spectra from each three physiological tissue points and pathological lesions were correlated with the histo-pathological diagnosis. Principal component analysis (PCA) and linear discriminant analysis (LDA) showed excellent results with an area under the curve of 94.5% and a classification error of 9.7% (sensitivity: 86.1%; specificity: 94.4%). The SERDS Raman spectra of malignant and benignant tissues were discriminable with respect to the spectral features of proteins, lipids and nucleic acids. The presented method is capable of a highly accurate identification of OSCC. These findings suggest a high validity and reproducibility of SERDS combined with PCA and LDA analysis regarding oral cancer tissue.
机译:通过分析12个离体OSCC样本,研究了移动激发拉曼差光谱法(SERDS)作为无标签,非侵入性技术进行口腔癌(OSCC)客观诊断的可行性。来自三个生理组织点和病理病变的72个平均SERDS光谱与组织病理学诊断相关。主成分分析(PCA)和线性判别分析(LDA)显示出色的结果,曲线下面积为94.5%,分类误差为9.7%(灵敏度:86.1%;特异性:94.4%)。恶性和良性组织的SERDS拉曼光谱在蛋白质,脂质和核酸的光谱特征方面是可分辨的。所提出的方法能够高度准确地识别OSCC。这些发现表明,对于口腔癌组织,SERDS结合PCA和LDA分析具有很高的有效性和可重复性。

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