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作 者:盛剑秋[1] 沈世杰[2] 李世荣[1] 吴霞[1] 高革[1] 李世拥[1] 晨智敏[1]
机构地区:[1]北京军区总医院消化科,北京100700 [2]军事医学科学院国家医学生物分析中心
出 处:《中华消化杂志》2001年第2期94-97,共4页Chinese Journal of Digestion
摘 要:目的 探讨傅立叶变换红外 (FT IR)光谱分析技术对大肠肿瘤的诊断价值。方法 用FT IR光谱仪分析大肠癌手术标本的癌及正常组织脱落细胞各 5 0例。多因素Logistic回归分析后 ,建立判别方程模型 ,回带分析计算诊断符合率。结果 1.癌细胞核的磷酸二酯基团伸缩振动谱带明显位移 ;2 .癌细胞蛋白质分子中C—O键吸收谱改变显著 ,吸收峰强度比 1174cm-1/ 115 5cm-1增强 ;3.回带分析结果与原方程判别结果基本一致 ;4.该方法判别大肠恶性肿瘤细胞的特异度、灵敏度、阳性预测值和阴性预测值分别为 90 .91%、86 .36 %、86 .96 %和 90 .48%。结论 FT IR光谱对鉴别大肠恶性肿瘤细胞有一定临床应用价值 ,有望成为一种快速筛检恶性肿瘤细胞的工具。Objective To assess the value of fourier transform infrared (FT IR) spectra for detection of colorectal carcinoma. Methods Fifty pairs of specimens of exfoliated cells from fifty patients with colorectal carcinoma undergoing colorectal resection were analyzed by FT IR spectroscopy. The exfoliated cells were obtained by scrapping off the colorectal cancer foci and the normal mucosa more than 5~10 cm away from the foci. The spectra from 28 pairs of the specimens were analyzed by Logistic regression with multiple factors to establish a statistical model for predicting the probability of colorectal cancers, and the spectra of other 22 pairs were judged according to the model. The corresponding diagnostic accuracy was calculated. Results Siginificant differences were found in the spectral properties between non cancerous and cancerous cells, which mainly shown in the frequency region of 1 000~1 350 cm -1 . 1. Compared with the spectral features in non cance rous cells, the distance between VsPO - 2 and VasPO - 2 became shorter in cancerous cells; 2. The C—O stretching bands of cell proteins changed significantly noted at the frequency region of 1 140~1 180 cm -1 . The peak intensity of 1 155 cm was stronger than that of 1 174 cm -1 in non cancerous cells, whereas in cancerous cells the peak intensity of 1 155 cm -1 was lower than that of 1 174 cm, therefore the peak intensity ratios of 1 174 cm -1 to 1 155 cm -1 was increased in cancerous cells; 3. Judged by the model, the spectral characteristics of the spectra data from the specimens of the 22 pairs were basically consistant with that of the base model data, P value for the entire model was <0.0001; 4. The results from the 22 pairs of specimen analyzed by the model indicated that the fourier transform infrared spectra is able to discriminate cancerous cells from non cancerous cells with a sensitivity of 90.91%, specificity 86.36%, positive predictive value 86.96% and negative predictive value 90.48%.Con
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