中华口腔医学杂志
中華口腔醫學雜誌
중화구강의학잡지
Chinese Journal of Stomatology
2013年
8期
477-480
,共4页
薛丽丽%欧东晨%陈培琼%陈梅卿%孙佩
薛麗麗%歐東晨%陳培瓊%陳梅卿%孫珮
설려려%구동신%진배경%진매경%손패
舍格伦综合征%涎腺,小%光谱分析,拉曼
捨格倫綜閤徵%涎腺,小%光譜分析,拉曼
사격륜종합정%연선,소%광보분석,랍만
Sj(o)gren's syndrome%Salivary Glands,Minor%Spectrum Analysis,Raman
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.
目的 研究原髮性捨格倫綜閤徵(Sjǒgren's syndrome,SS)病變脣腺的顯微拉曼光譜特徵及其診斷價值.方法 收集原髮性SS病變脣腺及正常脣腺各30例,應用785 nm激光作為激髮光,對脣腺樣本進行拉曼光譜檢測.應用支持嚮量機(support vector machine,SVM)對光譜數據進行分析併建立分類模型.結果 病變脣腺光譜在蛋白質、覈痠物質、脂類物質等譜峰存在差異.通過SVM對訓練集樣本分類,其靈敏度為92.0% (92/100),特異性為92.0%(92/100),總體準確率為92.0% (184/200).對測試集樣本分類靈敏度為69.2%(37/53),特異性為100.0%(37/37),準確率為82.0%(73/89).結論 原髮性SS病變脣腺與正常脣腺拉曼光譜存在差異,這些差異可以作為鑒彆診斷的依據,應用SVM建立的診斷分類模型可以確診.
목적 연구원발성사격륜종합정(Sjǒgren's syndrome,SS)병변진선적현미랍만광보특정급기진단개치.방법 수집원발성SS병변진선급정상진선각30례,응용785 nm격광작위격발광,대진선양본진행랍만광보검측.응용지지향량궤(support vector machine,SVM)대광보수거진행분석병건립분류모형.결과 병변진선광보재단백질、핵산물질、지류물질등보봉존재차이.통과SVM대훈련집양본분류,기령민도위92.0% (92/100),특이성위92.0%(92/100),총체준학솔위92.0% (184/200).대측시집양본분류령민도위69.2%(37/53),특이성위100.0%(37/37),준학솔위82.0%(73/89).결론 원발성SS병변진선여정상진선랍만광보존재차이,저사차이가이작위감별진단적의거,응용SVM건립적진단분류모형가이학진.
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.