CAJ | 학술논문

目的研究口腔黏膜鳞状细胞癌、上皮重度异常增生及正常黏膜组织的拉曼光谱特征,以期为拉曼光谱诊断口腔黏膜癌变提供依据.方法收集手术切除的新鲜口腔黏膜鳞状细胞癌组织56例,重度上皮异常增生组织50例及正常黏膜组织32例,采用配备光纤探头的便携式拉曼光谱仪获取拉曼光谱.应用主成分分析法(principle component analysis,PCA)结合判别函数分析(discriminant function analysis,DFA)对不同组织的光谱数据进行分析,建立诊断模型对口腔鳞状细胞癌、上皮重度异常增生及正常黏膜的光谱数据进行鉴别,应用交互验证方法对诊断模型进行验证.结果口腔鳞状细胞癌、上皮重度异常增生及正常黏膜组织间的拉曼光谱存在差异,主要表现为口腔鳞状细胞癌和上皮重度异常增生组织光谱中对应核酸、蛋白质及脂类物质的谱峰明显高于正常黏膜上皮组织;鉴别诊断建模的总体分类准确率达96.4％(133/138),交互验证的分类准确率达92.8％(128/138).结论口腔鳞状细胞癌和上皮重度异常增生组织中细胞增殖代谢明显高于正常黏膜组织;应用PCA-DFA建立的分类诊断模型可以很好地区分3种不同组织的光谱数据.
목적 연구구강점막린상세포암、상피중도이상증생급정상점막조직적랍만광보특정,이기위랍만광보진단구강점막암변제공의거.방법 수집수술절제적신선구강점막린상세포암조직56례,중도상피이상증생조직50례급정상점막조직32례,채용배비광섬탐두적편휴식랍만광보의획취랍만광보.응용주성분분석법(principle component analysis,PCA)결합판별함수분석(discriminant function analysis,DFA)대불동조직적광보수거진행분석,건립진단모형대구강린상세포암、상피중도이상증생급정상점막적광보수거진행감별,응용교호험증방법대진단모형진행험증.결과 구강린상세포암、상피중도이상증생급정상점막조직간적랍만광보존재차이,주요표현위구강린상세포암화상피중도이상증생조직광보중대응핵산、단백질급지류물질적보봉명현고우정상점막상피조직;감별진단건모적총체분류준학솔체96.4％(133/138),교호험증적분류준학솔체92.8％(128/138).결론 구강린상세포암화상피중도이상증생조직중세포증식대사명현고우정상점막조직;응용PCA-DFA건립적분류진단모형가이흔호지구분3충불동조직적광보수거.
Objective To investigate the Raman spectral characteristics of oral squamous cell carcinoma,high-grade epithelial dysplasia and normal mucosa.Methods Fifty-six fresh samples of oral carcinoma,50 of high-grade epithelial dysplasia and 32 of normal mucosa were collected.The i-Raman spectrometer with an optical fiber tube was applied to acquire Raman spectrum.The diagnostic model established by principle component analysis(PCA) and discriminant function analysis(DFA) was used to analyze and classify the spectra of different samples.Results There were significant differences among the Raman spectra of these samples.Compared with the spectra of normal mucosa,the spectra of oral carcinoma and dysplasia showed strong peaks which were contributed to nucleic acids,proteins and lipids.The diagnostic models established by PCA-DFA could successfully classify these Raman spectra of different samples with a high accuracy of 96.4％ (133/138).The model was evaluated by 'Leave one out' crossvalidation and reached a high accuracy of 92.8％(128/138).Conclusions The proliferation and metabolism of oral squamous cell carcinoma and epithelial high-grade dysplasia are more active than normal mucosa.The diagnostic models established by PCA-DFA can classify these Raman spectra of different samples with a high accuracy.