CH-overtone regions as diagnostic markers for near-infrared spectroscopic diagnosis of primary cancers in human pancreas and colorectal tissue View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2007-03

AUTHORS

Venkata Radhakrishna Kondepati, Thomas Oszinda, H. Michael Heise, Klaus Luig, Ralf Mueller, Olaf Schroeder, Michael Keese, Juergen Backhaus

ABSTRACT

We have investigated the application of near-infrared spectroscopy for detection of human primary pancreatic and colorectal cancers. Spectra from cancerous and normal tissue were collected from a total of 37 surgically resected pancreatic and colorectal patient tissue specimens using a fibre-optic probe. Major spectral differences were observed in the CH-stretching first (6,000-5,400 cm(-1)) and second overtone (9,000-7,900 cm(-1)) regions. By use of artificial neural networks, linear discriminant analysis, and cluster analysis as pattern-recognition methods the spectra were classified into cancerous and normal tissue groups with accuracy up to 89%. We also explored differences between the spectra obtained from colorectal and pancreatic tissue. Spectral data from cancerous and normal tissue were classified organ-specifically into four groups with accuracy between 80 and 83%. Our results indicate that CH-overtone regions, besides serving as diagnostic markers for NIR spectroscopic diagnosis of primary human pancreas and colorectal cancers, are also useful for elucidating differences between the spectra obtained from colorectal and pancreatic cancerous tissue. More... »

PAGES

1633

References to SciGraph publications

  • 2000-10. Molecular profiling of human cancer in NATURE REVIEWS GENETICS
  • 2003-06. Intra-operative characterization of gliomas by near-infrared spectroscopy: possible association with prognosis in ACTA NEUROCHIRURGICA
  • 1999-06. Reduction of sialic acid O-acetylation in human colonic mucins in the adenoma-carcinoma sequence in GLYCOCONJUGATE JOURNAL
  • 1994-10. In vivo measurement of tumor blood oxygenation by near-infrared spectroscopy: Immediate effects of pentobarbital overdose or carmustine treatment in JOURNAL OF NEURO-ONCOLOGY
  • 2005-12. Imaging in breast cancer: Diffuse optics in breast cancer: detecting tumors in pre-menopausal women and monitoring neoadjuvant chemotherapy in BREAST CANCER RESEARCH
  • 1996-01. Altered carbohydrate composition in colorectal adenomas and carcinomas: Histochemical characterization of N-acetylgalactosamine,l-fucose, and o-acetylated sialic acid in JOURNAL OF GASTROENTEROLOGY
  • 2002-04. Microarrays and molecular markers for tumor classification in GENOME BIOLOGY
  • 2001-01. Towards Non-Invasive Screening of Skin Lesions by Near-Infrared Spectroscopy in JOURNAL OF INVESTIGATIVE DERMATOLOGY
  • 1985-02. Chemical and histochemical studies of normal and diseased human gastrointestinal tract. III. Changes in the histochemical and chemical properties of the epithelial glycoproteins in the mucosa close to colonic tumours in JOURNAL OF MOLECULAR HISTOLOGY
  • 1984-03. Chemical and histochemical studies of normal and diseased human gastrointestinal tract. I. A comparison between histologically normal colon, colonic tumours, ulcerative colitis and diverticular disease of the colon in JOURNAL OF MOLECULAR HISTOLOGY
  • 2005. The Effects of Tumour Blood Flow and Oxygenation Modifiers on Subcutaneous Tumours as Determined by NIRS in OXYGEN TRANSPORT TO TISSUE XXVI
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00216-006-0960-x

    DOI

    http://dx.doi.org/10.1007/s00216-006-0960-x

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1011364930

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/17205263


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