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Journal of Biomedical Optics

Study of support vector machine and serum surface-enhanced Raman spectroscopy for noninvasive esophageal cancer detection
Author(s): Shao-Xin Li; Qiu-Yao Zeng; Lin-Fang Li; Yan-Jiao Zhang; Ming-Ming Wan; Zhi-Ming Liu; Hong-Lian Xiong; Zhou-Yi Guo; Song-Hao Liu
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Paper Abstract

The ability of combining serum surface-enhanced Raman spectroscopy (SERS) with support vector machine (SVM) for improving classification esophageal cancer patients from normal volunteers is investigated. Two groups of serum SERS spectra based on silver nanoparticles (AgNPs) are obtained: one group from patients with pathologically confirmed esophageal cancer (n=30 ) and the other group from healthy volunteers (n=31 ). Principal components analysis (PCA), conventional SVM (C-SVM) and conventional SVM combination with PCA (PCA-SVM) methods are implemented to classify the same spectral dataset. Results show that a diagnostic accuracy of 77.0% is acquired for PCA technique, while diagnostic accuracies of 83.6% and 85.2% are obtained for C-SVM and PCA-SVM methods based on radial basis functions (RBF) models. The results prove that RBF SVM models are superior to PCA algorithm in classification serum SERS spectra. The study demonstrates that serum SERS in combination with SVM technique has great potential to provide an effective and accurate diagnostic schema for noninvasive detection of esophageal cancer.

Paper Details

Date Published: 6 February 2013
PDF: 9 pages
J. Biomed. Opt. 18(2) 027008 doi: 10.1117/1.JBO.18.2.027008
Published in: Journal of Biomedical Optics Volume 18, Issue 2
Show Author Affiliations
Shao-Xin Li, South China Normal Univ. (China)
Qiu-Yao Zeng, Sun Yat-Sen Univ. Cancer Ctr. (China)
Lin-Fang Li, Sun Yat-Sen Univ. Cancer Ctr. (China)
Yan-Jiao Zhang, Guangdong Medical College (China)
Ming-Ming Wan, South China Normal Univ. (China)
Zhi-Ming Liu, South China Normal Univ. (China)
Hong-Lian Xiong, South China Normal Univ. (China)
Zhou-Yi Guo, South China Normal Univ. (China)
Song-Hao Liu, South China Normal Univ. (China)

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