Classification of inflammatory bowel diseases by means of Raman spectroscopic imaging of epithelium cells
Autor: | Christoph Krafft, Juergen Popp, Andreas Stallmach, Akram Gharbi, Thomas Bocklitz, Christiane Bielecki, Thomas Knösel, Claudio Marquardt, Michael Schmitt |
---|---|
Rok vydání: | 2012 |
Předmět: |
Pathology
medicine.medical_specialty Support Vector Machine Biomedical Engineering Spectrum Analysis Raman Sensitivity and Specificity Pattern Recognition Automated Biomaterials symbols.namesake Crohn Disease medicine Humans Intestinal Mucosa Colitis business.industry Inflammatory Bowel Diseases Epithelial Cells medicine.disease Ulcerative colitis digestive system diseases Atomic and Molecular Physics and Optics Epithelium Molecular Imaging Electronic Optical and Magnetic Materials medicine.anatomical_structure Clinical diagnosis symbols Colitis Ulcerative Histopathology business Raman spectroscopy Biomarkers Human colon |
Zdroj: | Journal of Biomedical Optics. 17:0760301 |
ISSN: | 1083-3668 |
DOI: | 10.1117/1.jbo.17.7.076030 |
Popis: | 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. |
Databáze: | OpenAIRE |
Externí odkaz: |