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Proceedings Paper

Non-invasive optical detection of esophagus cancer based on urine surface-enhanced Raman spectroscopy
Author(s): Shaohua Huang; Lan Wang; Weiwei Chen; Duo Lin; Lingling Huang; Shanshan Wu; Shangyuan Feng; Rong Chen
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Paper Abstract

A surface-enhanced Raman spectroscopy (SERS) approach was utilized for urine biochemical analysis with the aim to develop a label-free and non-invasive optical diagnostic method for esophagus cancer detection. SERS spectrums were acquired from 31 normal urine samples and 47 malignant esophagus cancer (EC) urine samples. Tentative assignments of urine SERS bands demonstrated esophagus cancer specific changes, including an increase in the relative amounts of urea and a decrease in the percentage of uric acid in the urine of normal compared with EC. The empirical algorithm integrated with linear discriminant analysis (LDA) were employed to identify some important urine SERS bands for differentiation between healthy subjects and EC urine. The empirical diagnostic approach based on the ratio of the SERS peak intensity at 527 to 1002 cm-1 and 725 to 1002 cm-1 coupled with LDA yielded a diagnostic sensitivity of 72.3% and specificity of 96.8%, respectively. The area under the receive operating characteristic (ROC) curve was 0.954, which further evaluate the performance of the diagnostic algorithm based on the ratio of the SERS peak intensity combined with LDA analysis. This work demonstrated that the urine SERS spectra associated with empirical algorithm has potential for noninvasive diagnosis of esophagus cancer.

Paper Details

Date Published: 17 September 2014
PDF: 6 pages
Proc. SPIE 9230, Twelfth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2014), 923020 (17 September 2014); doi: 10.1117/12.2068859
Show Author Affiliations
Shaohua Huang, Fujian Normal Univ. (China)
Lan Wang, Fujian Normal Univ. (China)
Weiwei Chen, Fujian Normal Univ. (China)
Fujian Univ. of Traditional Chinese Medicine (C)
Duo Lin, Fujian Univ. of Traditional Chinese Medicine (China)
Lingling Huang, Fujian Provincial Tumor Hospital (China)
Shanshan Wu, Fujian Normal Univ. (China)
Shangyuan Feng, Fujian Normal Univ. (China)
Rong Chen, Fujian Normal Univ. (China)


Published in SPIE Proceedings Vol. 9230:
Twelfth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2014)
Qingming Luo; Lihong V. Wang; Valery V. Tuchin, Editor(s)

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