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

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 w...

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Bibliographic Details
Published in:Journal of Biomedical Optics 2012-07, Vol.17 (7), p.076030-076030
Main Authors: Bielecki, Christiane, Bocklitz, Thomas W, Schmitt, Michael, Krafft, Christoph, Marquardt, Claudio, Gharbi, Akram, Kno¨sel, Thomas, Stallmach, Andreas, Popp, Juergen
Format: Article
Language:English
Subjects:
Biomarkers - analysis
biophotonics
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
image analysis
Intestinal Mucosa - metabolism
Intestinal Mucosa - pathology
medicine
Molecular Imaging - methods
Pattern Recognition, Automated - methods
Raman spectroscopy
Sensitivity and Specificity
Spectrum Analysis, Raman - methods
Support Vector Machine
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Summary: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 ( ). In a second step, the biochemical tissue composition has been studied by analyzing the epithelium Raman spectra of sections of healthy control subjects ( ), subjects with CD ( ), and subjects with UC ( ). 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.
ISSN:1083-3668
1560-2281
DOI:10.1117/1.JBO.17.7.076030