Research Papers: General

Detection of nasopharyngeal cancer using confocal Raman spectroscopy and genetic algorithm technique

[+] Author Affiliations
Shao-Xin Li

South China Normal University, School of Information and Optoelectronic Science and Engineering, Guangzhou 510631, China

School of Information Engineering, Guangdong Medical College, Dongguan 523808, China

Qiu-Yan Chen, Hai-Qiang Mai

Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Department of Nasopharyngeal Carcinoma, Guangzhou 510060, China

Yan-Jiao Zhang

School of Information Engineering, Guangdong Medical College, Dongguan 523808, China

Zhi-Ming Liu, Hong-Lian Xiong, Zhou-Yi Guo, Song-Hao Liu

South China Normal University, School of Information and Optoelectronic Science and Engineering, Guangzhou 510631, China

J. Biomed. Opt. 17(12), 125003 (Dec 03, 2012). doi:10.1117/1.JBO.17.12.125003
History: Received August 2, 2012; Revised October 9, 2012; Accepted November 1, 2012
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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 17421752cm1 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.

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© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Shao-Xin Li ; Qiu-Yan Chen ; Yan-Jiao Zhang ; Zhi-Ming Liu ; Hong-Lian Xiong, et al.
"Detection of nasopharyngeal cancer using confocal Raman spectroscopy and genetic algorithm technique", J. Biomed. Opt. 17(12), 125003 (Dec 03, 2012). ; http://dx.doi.org/10.1117/1.JBO.17.12.125003


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