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Journal of Biomedical Optics

Detection of nasopharyngeal cancer using confocal Raman spectroscopy and genetic algorithm technique
Author(s): Shaoxin Li; Qiu-Yan Chen; Yan-Jiao Zhang; Zhiming Liu; Honglian Xiong; Zhouyi Guo; Hai-Qiang Mai; Songhao Liu
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Paper 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.

Paper Details

Date Published: 3 December 2012
PDF: 7 pages
J. Biomed. Opt. 17(12) 125003 doi: 10.1117/1.JBO.17.12.125003
Published in: Journal of Biomedical Optics Volume 17, Issue 12
Show Author Affiliations
Shaoxin Li, South China Normal Univ. (China)
Qiu-Yan Chen, Sun Yat-Sen Univ. (China)
Yan-Jiao Zhang, Guangdong Medical College (China)
Zhiming Liu, South China Normal Univ. (China)
Honglian Xiong, South China Normal Univ. (China)
Zhouyi Guo, South China Normal Univ. (China)
Hai-Qiang Mai, Sun Yat-Sen Univ. (China)
Songhao Liu, South China Normal Univ. (China)

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