Classification of inflammatory bowel diseases by means of Raman spectroscopic imaging of epithelium cells

J Biomed Opt. 2012 Jul;17(7):076030. doi: 10.1117/1.JBO.17.7.076030.

Abstract

We report on a Raman microspectroscopic characterization of the inflammatory bowel diseases (IBD) Crohn's disease (CD) and ulcerative colitis (UC). Therefore, Raman maps of human colon tissue sections were analyzed by utilizing innovative chemometric approaches. First, support vector machines were applied to highlight the tissue morphology (=Raman spectroscopic histopathology). In a second step, the biochemical tissue composition has been studied by analyzing the epithelium Raman spectra of sections of healthy control subjects (n=11), subjects with CD (n=14), and subjects with UC (n=13). These three groups exhibit significantly different molecular specific Raman signatures, allowing establishment of a classifier (support-vector-machine). By utilizing this classifier it was possible to separate between healthy control patients, patients with CD, and patients with UC with an accuracy of 98.90%. The automatic design of both classification steps (visualization of the tissue morphology and molecular classification of IBD) paves the way for an objective clinical diagnosis of IBD by means of Raman spectroscopy in combination with chemometric approaches.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers / analysis
  • Colitis, Ulcerative / diagnosis*
  • Colitis, Ulcerative / metabolism
  • Colitis, Ulcerative / pathology
  • Crohn Disease / diagnosis*
  • Crohn Disease / metabolism
  • Crohn Disease / pathology
  • Epithelial Cells / metabolism*
  • Epithelial Cells / pathology
  • Humans
  • Intestinal Mucosa / metabolism*
  • Intestinal Mucosa / pathology
  • Molecular Imaging / methods*
  • Pattern Recognition, Automated / methods*
  • Sensitivity and Specificity
  • Spectrum Analysis, Raman / methods*
  • Support Vector Machine

Substances

  • Biomarkers