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目的 研究原发性舍格伦综合征(Sjǒgren’s syndrome,SS)病变唇腺的显微拉曼光谱特征及其诊断价值.方法 收集原发性SS病变唇腺及正常唇腺各30例,应用785 nm激光作为激发光,对唇腺样本进行拉曼光谱检测.应用支持向量机(support vector machine,SVM)对光谱数据进行分析并建立分类模型.结果 病变唇腺光谱在蛋白质、核酸物质、脂类物质等谱峰存在差异.通过SVM对训练集样本分类,其灵敏度为92.0％ (92/100),特异性为92.0％(92/100),总体准确率为92.0％ (184/200).对测试集样本分类灵敏度为69.2％(37/53),特异性为100.0％(37/37),准确率为82.0％(73/89).结论 原发性SS病变唇腺与正常唇腺拉曼光谱存在差异,这些差异可以作为鉴别诊断的依据,应用SVM建立的诊断分类模型可以确诊.“,”Objective To investigate the Raman spectral characteristics of the pathological lip minor salivary glands affected in primary Sjtǒgren’s syndrome.Methods Thirty pathological samples and 30 normal samples were collected in this study.The samples were examined by Raman microscope.Support vector machine (SVM) was employed to analyze the data and establish the classification model.Results The spectra of pathological tissues was different from the controls in proteins,nucleic acids,lipids and glycogen skeleton.The sensitivity,specificity and accuracy of the model established by SVM on the training sets were all 92.0％ (92/100),but the sensitivity,specificity and accuracy of the model established by SVM on the testing sets were 69.2％ (37/53),100.0％ (37/37) and 82.0％ (73/89) respectively.Conclusions There was significant difference in Raman spectra between the pathological and normal lip salivary glands,and the classification model established by SVM could discriminate the pathological glands from the normal ones.