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Pathology & Oncology Research
Published in: Pathology & Oncology Research 2/2011

01-06-2011 | Short Communication

Application of Linear Discriminant Analysis and Attenuated Total Reflectance Fourier Transform Infrared Microspectroscopy for Diagnosis of Colon Cancer

Authors: Mohammadreza Khanmohammadi, Amir Bagheri Garmarudi, Simin Samani, Keyvan Ghasemi, Ahmad Ashuri

Published in: Pathology & Oncology Research | Issue 2/2011

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Abstract

Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) microspectroscopy was applied for detection of colon cancer according to the spectral features of colon tissues. Supervised classification models can be trained to identify the tissue type based on the spectroscopic fingerprint. A total of 78 colon tissues were used in spectroscopy studies. Major spectral differences were observed in 1,740–900 cm−1 spectral region. Several chemometric methods such as analysis of variance (ANOVA), cluster analysis (CA) and linear discriminate analysis (LDA) were applied for classification of IR spectra. Utilizing the chemometric techniques, clear and reproducible differences were observed between the spectra of normal and cancer cases, suggesting that infrared microspectroscopy in conjunction with spectral data processing would be useful for diagnostic classification. Using LDA technique, the spectra were classified into cancer and normal tissue classes with an accuracy of 95.8%. The sensitivity and specificity was 100 and 93.1%, respectively.
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Metadata
Title
Application of Linear Discriminant Analysis and Attenuated Total Reflectance Fourier Transform Infrared Microspectroscopy for Diagnosis of Colon Cancer
Authors
Mohammadreza Khanmohammadi
Amir Bagheri Garmarudi
Simin Samani
Keyvan Ghasemi
Ahmad Ashuri
Publication date
01-06-2011
Publisher
Springer Netherlands
Published in
Pathology & Oncology Research / Issue 2/2011
Print ISSN: 1219-4956
Electronic ISSN: 1532-2807
DOI
https://doi.org/10.1007/s12253-010-9326-y

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