以傅里叶变换红外光谱学检测结肠癌组织标本诊断结肠癌

Diagnosis of colorectal cancer with Fourier Transform Infrared Spectroscopy on the Malignant Colon Tissue Samples

Background The survival of cancer patients primarily depends on early detection of cancer. Fourier transform infrared spectroscopy (FT-IR) combined with chemometrics discriminant analysis technology could improve diagnosis. The present study aimed to evaluate the effects of FT-IR on Malignant Colon Tissue Samples on diagnosis of colorectal cancer. Methods Principal component analysis and support vector machine classification were used to discriminate FT-IR spectra from malignant and normal tissue. Colon tissues samples from 85 patients were used to demonstrate the procedure. Results For this set of colon spectral data, the sensitivity and specificity of the support vector machine (SVM) classification are both higher than 90%. Conclusions FT-IR provided important information about cancerous tissue, which could be used to discriminate malignant from normal tissue. The combination of principal component analysis (PCA) and SVM classification indicates that FT-IR has a potential clinical application in diagnosis of colon cancer.