Christian Knipfer, Johanna Motz, Werner Adler, Kathrin Brunner, Tesfay Gebrekidan Medhaine, Robert Hankel, Abbas Agaimy, Stefan Will, Andreas Braeuer, Wilhelm Neukam Friedrich, Florian Stelzle
Department of Oral and Maxillofacial Surgery, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany ; Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Department of Oral and Maxillofacial Surgery, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Biomed Opt Express. 2014 Aug 28;5(9):3252-65. doi: 10.1364/BOE.5.003252. eCollection 2014 Sep 1.
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.
通过分析12个口腔鳞状细胞癌（OSCC）离体样本，研究了位移激发拉曼差分光谱（SERDS）作为一种用于口腔癌客观诊断的无标记、非侵入性技术的可行性。来自每三个生理组织点和病理病变的72条平均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）显示出优异的结果，曲线下面积为94.5%，分类错误率为9.7%（敏感性：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区分的。所提出的方法能够高度准确地识别口腔鳞状细胞癌。这些发现表明，SERDS结合PCA和LDA分析对于口腔癌组织具有很高的有效性和可重复性。
