z-logo
open-access-imgOpen Access
Raman Spectroscopic Methods for Classification of Normal and Malignant Hypopharyngeal Tissues: An Exploratory Study
Author(s) -
Parul Pujary,
Maheedhar Kodali,
C. Murali Krishna,
Kailesh Pujary
Publication year - 2011
Publication title -
pathology research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.398
H-Index - 21
eISSN - 2090-8091
pISSN - 2042-003X
DOI - 10.4061/2011/632493
Subject(s) - raman spectroscopy , medicine , pathology , diagnostic model , nuclear magnetic resonance , pattern recognition (psychology) , artificial intelligence , computer science , optics , data mining , physics
Laryngeal cancer is more common in males. The present study is aimed at exploration of potential of conventional Raman spectroscopy in classifying normal from a malignant laryngopharyngeal tissue. We have recorded Raman spectra of twenty tissues (aryepiglottic fold) using an in-house built Raman setup. The spectral features of mean malignant spectrum suggests abundance proteins whereas spectral features of mean normal spectrum indicate redundancy of lipids. PCA was employed as discriminating algorithm. Both, unsupervised and supervised modes of analysis as well as match/mismatch “limit test” methodology yielded clear classification among tissue types. The findings of this study demonstrate the efficacy of conventional Raman spectroscopy in classification of normal and malignant laryngopharyngeal tissues. A rigorous evaluation of the models with development of suitable fibreoptic probe may enable real-time Raman spectroscopic diagnosis of laryngopharyngeal cancers in future.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom