Fujian Normal University, Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Fuzhou 350007, China.
J Biomed Opt. 2013 Feb;18(2):27003. doi: 10.1117/1.JBO.18.2.027003.
The capabilities of micro-Raman spectroscopy for differentiating normal and malignant nasopharyngeal tissues were evaluated. Raman scattering signals were acquired from 22 normal and 52 malignant nasopharyngeal tissue samples. Distinctive spectral differences in Raman spectra between normal and malignant nasopharyngeal tissues were found, particularly in the spectral ranges of 853, 937, 1094, 1209, 1268, 1290 to 1340, 1579, and 1660 cm-1, which primarily contain signals related to proteins, DNA, and lipids. Compared to normal tissues, the band intensity located at 853, and 937 cm-1 were significantly lower for cancerous tissues (p<0.05), while the band intensity located at 1094, 1209, 1268, and 1579 cm-1 were significantly higher (p<0.05). The band intensity located at 1290 to 1340, and 1660 cm-1 were also higher for cancerous tissues; but the differences were not statistically significant (p>0.05). Principal component analysis (PCA) and linear discriminate analysis (LDA) were employed to generate diagnostic algorithms for classification of Raman spectra of the two nasopharyngeal tissue types. The PCA-LDA algorithms together with leave-one-out, cross-validation technique yielded diagnostic sensitivity of 92% and specificity of 82%. This work demonstrated that the Raman spectroscopy technique associated with PCA-LDA diagnostic algorithms has potential for improving the diagnosis of nasopharyngeal cancers.
研究了微拉曼光谱技术区分正常和恶性鼻咽组织的能力。从 22 例正常和 52 例恶性鼻咽组织样本中获得了拉曼散射信号。发现正常和恶性鼻咽组织的拉曼光谱在光谱范围 853、937、1094、1209、1268、1290 至 1340、1579 和 1660 cm-1 处存在明显的光谱差异，这些差异主要与蛋白质、DNA 和脂质的信号有关。与正常组织相比，癌症组织中位于 853 和 937 cm-1 的谱带强度显著降低（p<0.05），而位于 1094、1209、1268 和 1579 cm-1 的谱带强度显著升高（p<0.05）。癌症组织中位于 1290 至 1340 和 1660 cm-1 的谱带强度也较高；但差异无统计学意义（p>0.05）。采用主成分分析（PCA）和线性判别分析（LDA）生成两种鼻咽组织类型拉曼光谱的分类诊断算法。PCA-LDA 算法结合留一法、交叉验证技术，得出诊断敏感性为 92%，特异性为 82%。这项工作表明，与 PCA-LDA 诊断算法相关的拉曼光谱技术有可能提高鼻咽癌的诊断水平。
