title: Diagnosis of colon cancer with Fourier transform infrared spectroscopy on the malignant colon tissue samples.
abstract: BACKGROUND
  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 in diagnosis of colon cancer.
  
  
  METHODS
  Principal component analysis (PCA) 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 were found both higher than 90%.
  
  
  CONCLUSIONS
  FT-IR provided important information about cancerous tissue, which could be used to discriminate malignant from normal tissues. The combination of PCA and SVM classification indicated that FT-IR has a potential clinical application in diagnosis of colon cancer.
authors.affiliation: Department of Abdominal Surgical Oncology, Cancer Hospital and Institute, Chinese Academy of Medical Sciences, Beijing 100021, China.
authors.forename: Yi-Bin
authors.initials: YB
authors.lastname: Xie
authors.forename: Qian
authors.initials: Q
authors.lastname: Liu
authors.forename: Fei
authors.initials: F
authors.lastname: He
authors.forename: Chun-Guang
authors.initials: CG
authors.lastname: Guo
authors.forename: Cheng-Feng
authors.initials: CF
authors.lastname: Wang
authors.forename: Ping
authors.initials: P
authors.lastname: Zhao
mesh_terms: D000368:Aged; D003110:Colonic Neoplasms / Q000175:diagnosis*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D025341:Principal Component Analysis; D012680:Sensitivity and Specificity; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods*; D060388:Support Vector Machine