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Clinical characterization of in vivo inflammatory bowel disease with Raman spectroscopy.
Pence, Isaac J; Beaulieu, Dawn B; Horst, Sara N; Bi, Xiaohong; Herline, Alan J; Schwartz, David A; Mahadevan-Jansen, Anita.
Afiliación
  • Pence IJ; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee 37235, USA.
  • Beaulieu DB; Division of Gastroenterology, Hepatology & Nutrition, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee 37235, USA.
  • Horst SN; Division of Gastroenterology, Hepatology & Nutrition, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee 37235, USA.
  • Bi X; Department of Nanomedicine and Biomedical Engineering, University of Texas Health Science Center at Houston, Houston, Texas 77054, USA.
  • Herline AJ; Division of Gastroenterology, Hepatology & Nutrition, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee 37235, USA; Department of Surgery, Medical College of Georgia, Augusta, Georgia 30912, USA.
  • Schwartz DA; Division of Gastroenterology, Hepatology & Nutrition, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee 37235, USA.
  • Mahadevan-Jansen A; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee 37235, USA.
Biomed Opt Express ; 8(2): 524-535, 2017 Feb 01.
Article en En | MEDLINE | ID: mdl-28270965
Inflammatory bowel disease (IBD), including ulcerative colitis (UC) and Crohn's disease (CD), affects over 1 million Americans and 2 million Europeans, and the incidence is increasing worldwide. While these diseases require unique medical care, the differentiation between UC and CD lacks a gold standard, and therefore relies on long term follow up, success or failure of existing treatment, and recurrence of the disease. Here, we present colonoscopy-coupled fiber optic probe-based Raman spectroscopy as a minimally-invasive diagnostic tool for IBD of the colon (UC and Crohn's colitis). This pilot in vivo study of subjects with existing IBD diagnoses of UC (n = 8), CD (n = 15), and normal control (n = 8) aimed to characterize spectral signatures of UC and CD. Samples were correlated with tissue pathology markers and endoscopic evaluation. The collected spectra were processed and analyzed using multivariate statistical techniques to identify spectral markers and discriminate IBD and disease classes. Confounding factors including the presence of active inflammation and the particular colon segment measured were investigated and integrated into the devised prediction algorithm, reaching 90% sensitivity and 75% specificity to CD from this in vivo data set. These results represent significant progress towards improved real-time classification for accurate and automated in vivo detection and discrimination of IBD during colonoscopy procedures.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Biomed Opt Express Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Biomed Opt Express Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos