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研究了 2 1例胃组织光谱 ,根据病理检测结果 ,其中 11例为癌变组织 ,10例为正常组织。根据已有的红外光谱判别方法得到的结果和病理分析结果基本一致 ,只有 1例 (第 10号样品 )为过渡态 ,非典型癌症。同时对 2 1条被测光谱进行了主成分分析 (PCA)。主成分分析结果表明第一主成分可以用来区别胃正常组织和癌变组织光谱。图 4明确地显示了第 10号样品处于过渡态 ,PCA方法的判别结果与红外光谱解析结果基本一致。研究结果表明傅里叶变换红外光谱法与主成分分析方法都可以对良性和恶性胃组织进行鉴别诊断 ,如果两种方法相结合可以提高检测准确率 ,有望发展成为一种肿瘤临床诊断新方法
Twenty-one cases of gastric tissue were studied, and according to the results of pathological examination, 11 cases were cancerous tissues and 10 cases were normal tissues. According to the existing methods of infrared spectral discrimination, the results are basically consistent with the results of pathological analysis. Only one case (sample No. 10) is transitional state and atypical cancer. At the same time, principal component analysis (PCA) of 21 measured spectra was performed. Principal component analysis showed that the first principal component can be used to distinguish between normal gastric tissue and cancerous tissue. Figure 4 clearly shows that the No. 10 sample is in a transitional state. The discrimination results of the PCA method are basically the same as those of the infrared spectroscopy. The results show that both Fourier transform infrared spectroscopy and principal component analysis can differentially diagnose benign and malignant gastric tissues. If the combination of the two methods can improve the detection accuracy, it is expected to develop into a new method of clinical diagnosis of tumors