3 December 2012 Detection of nasopharyngeal cancer using confocal Raman spectroscopy and genetic algorithm technique
Author Affiliations +
Abstract
Raman spectroscopy (RS) and a genetic algorithm (GA) were applied to distinguish nasopharyngeal cancer (NPC) from normal nasopharyngeal tissue. A total of 225 Raman spectra are acquired from 120 tissue sites of 63 nasopharyngeal patients, 56 Raman spectra from normal tissue and 169 Raman spectra from NPC tissue. The GA integrated with linear discriminant analysis (LDA) is developed to differentiate NPC and normal tissue according to spectral variables in the selected regions of 792-805, 867-880, 996-1009, 1086-1099, 1288-1304, 1663-1670, and 1742-1752 cm-1 related to proteins, nucleic acids and lipids of tissue. The GA-LDA algorithms with the leave-one-out cross-validation method provide a sensitivity of 69.2% and specificity of 100%. The results are better than that of principal component analysis which is applied to the same Raman dataset of nasopharyngeal tissue with a sensitivity of 63.3% and specificity of 94.6%. This demonstrates that Raman spectroscopy associated with GA-LDA diagnostic algorithm has enormous potential to detect and diagnose nasopharyngeal cancer.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE)
Shaoxin Li, Shaoxin Li, Qiu-Yan Chen, Qiu-Yan Chen, Yan-Jiao Zhang, Yan-Jiao Zhang, Zhiming Liu, Zhiming Liu, Honglian Xiong, Honglian Xiong, Zhouyi Guo, Zhouyi Guo, Hai-Qiang Mai, Hai-Qiang Mai, Songhao Liu, Songhao Liu, } "Detection of nasopharyngeal cancer using confocal Raman spectroscopy and genetic algorithm technique," Journal of Biomedical Optics 17(12), 125003 (3 December 2012). https://doi.org/10.1117/1.JBO.17.12.125003 . Submission:
JOURNAL ARTICLE
7 PAGES


SHARE
Back to Top