【摘要】 对42例胃癌离体标本的癌浆膜和正常浆膜进行以308 nm为激发光的自体荧光光谱测量,将得到的光谱进行平滑和面积归一,发现这两组有相似性,但又存在差别。对处理后的光谱数据再标准化,用偏最小二乘法(PLS)进行计算,最终将这两组区分开来。该方法区分癌组织与正常组织的敏感度为83.3%,特异度为95.2%,阳性预测度为94.6%。该方法识别胃癌的价值高于传统的光谱分析方法,为光谱分析提供了一种快速、有效的选择。更多还原

【Abstract】 Measurement of fluorescence intensity was performed at excitation wavelength of 308 nm and emission wavelength in the range of 328-596 nm.The partial leastsquares(PLS) method was used to analyze autofluorescence spectra of gastric cancer.The 42 normal samples and 42 cancer samples were taken from 42 gastric cancer patients.The normalized and centralized spectra of two kinds of samples showed similar but divergent patterns.PLS classification algorithm could differentiate cancer tissues from normal tissues with a sensitivity of 83.3%,a specificity of 95.2%,and a positive predictive value of 94.6%.We concluded therefore that the PLS method was a fast,effective choice for identification of gastric cancer.更多还原