Diagnostic potential of Fourier-transform infrared microspectroscopy and advanced computational methods in colon cancer patients
- 1 January 2002
- journal article
- Published by SPIE-Intl Soc Optical Eng in Journal of Biomedical Optics
- Vol. 7 (2), 248-54
- https://doi.org/10.1117/1.1463051
Abstract
Colon cancer is the third leading class of cancer causing increased mortality in developed countries. A polyp is one type of lesion observed in a majority of colon cancer patients. Here, we report a microscopic Fourier transform infrared (FTIR) study of normal, adenomatous polyp and malignant cells from biopsies of 24 patients. The goal of our study was to differentiate an adenomatous polyp from a malignant cell using FTIR microspectroscopy and artificial neural network (ANN) analysis. FTIR spectra and biological markers such as phosphate, RNA/DNA derived from spectra, were useful in identifying normal cells from abnormal ones that consisted of adenomatous polyp and malignant cells. However, the biological markers failed to differentiate between adenomatous polyp and malignant cases. By employing a combination of wavelet features and an ANN based classifier, we were able to classify the different cells as normal, adenomatous polyp and cancerous in a given tissue sample. The percentage of success of classification was 89%, 81%, and 83% for normal, adenomatous polyp, and malignant cells, respectively. A comparison of the method proposed with the pathological method is also discussed.Keywords
This publication has 20 references indexed in Scilit:
- FTIR microscopic studies on normal and H- Ras oncogene transfected cultured mouse fibroblastsEuropean Biophysics Journal, 2001
- FTIR Microscopic Studies on Normal, Polyp, and Malignant Human Colonic TissuesSubsurface Sensing Technologies and Applications, 2001
- Comparison of Colonoscopy and Double-Contrast Barium EnemaNew England Journal of Medicine, 2000
- Colon Tumors and ColonoscopyEndoscopy, 2000
- Accuracy of Detection of Colorectal Neoplasia Using an Immnochemical Occult Blood Test in Symptomatic Referred Patients. Comparison of Retrospective and Prospective Studies.Internal Medicine, 2000
- Factor analysis of cancer fourier transform infrared evanescent wave fiberoptical (FTIR-FEW) spectraLasers in Surgery and Medicine, 1999
- Classification of Breast Tumors by Grade and Steroid Receptor Status Using Pattern Recognition Analysis of Infrared SpectraCancer Detection Prevention, 1999
- Infrared Spectroscopy of Cells and Tissues: Shining Light onto a Novel SubjectApplied Spectroscopy, 1999
- Human Breast Carcinomal Tissues Display Distinctive FTIR Spectra: Implication for the Histological Characterization of CarcinomasAnalytical Cellular Pathology, 1999
- Cytologically normal cells from neoplastic cervical samples display extensive structural abnormalities on IR spectroscopy: Implications for tumor biologyProceedings of the National Academy of Sciences of the United States of America, 1998