Non-invasive optical detection of esophagus cancer based on urine surface-enhanced Raman spectroscopy

Shaohua Huang; Lan Wang; Weiwei Chen; Duo Lin; Lingling Huang; Shanshan Wu; Shangyuan Feng; Rong Chen

doi:10.1117/12.2068859

17 September 2014 Non-invasive optical detection of esophagus cancer based on urine surface-enhanced Raman spectroscopy

Shaohua Huang, Lan Wang, Weiwei Chen, Duo Lin, Lingling Huang, Shanshan Wu, Shangyuan Feng, Rong Chen

Proceedings Volume 9230, Twelfth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2014); 923020 (2014) https://doi.org/10.1117/12.2068859
Event: Twelfth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2014), 2014, Wuhan, China

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.

Citation Download Citation

Shaohua Huang, Lan Wang, Weiwei Chen, Duo Lin, Lingling Huang, Shanshan Wu, Shangyuan Feng, and Rong Chen "Non-invasive optical detection of esophagus cancer based on urine surface-enhanced Raman spectroscopy", Proc. SPIE 9230, Twelfth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2014), 923020 (17 September 2014); https://doi.org/10.1117/12.2068859

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Surface enhanced Raman spectroscopy

Cancer

Esophagus

Diagnostics

Urea

Biological research

Medicine

Show All Keywords

Keywords/Phrases

Search In:

Publication Years