Esophageal cancer detection based on tissue surface-enhanced Raman spectroscopy and multivariate analysis

被引：72
作者：
Feng, Shangyuan [1 ]
Lin, Juqiang [1 ]
Huang, Zufang [1 ]
Chen, Guannan [1 ]
Chen, Weisheng [2 ]
Wang, Yue [1 ]
Chen, Rong [1 ]
Zeng, Haishan [1 ,3 ]
机构：
[1] Fujian Normal Univ, Minist Educ, Key Lab Optoelect Sci & Technol Med, Fuzhou 350007, Peoples R China
[2] Fuzhou Gen Hosp, Fuzhou 350001, Peoples R China
[3] British Columbia Canc Agcy, Res Ctr, Dept Integrat Oncol, Imaging Unit, Vancouver, BC V5Z 1L3, Canada
来源：
APPLIED PHYSICS LETTERS | 2013年 / 102卷 / 04期
基金：
中国国家自然科学基金; 加拿大健康研究院;
关键词：
IN-VIVO; DIAGNOSIS; SPECTRA; SERS;
D O I：
10.1063/1.4789996
中图分类号：
O59 [应用物理学];
学科分类号：
摘要：
The capability of using silver nanoparticle based near-infrared surface enhanced Raman scattering (SERS) spectroscopy combined with principal component analysis (PCA) and linear discriminate analysis (LDA) to differentiate esophageal cancer tissue from normal tissue was presented. Significant differences in Raman intensities of prominent SERS bands were observed between normal and cancer tissues. PCA-LDA multivariate analysis of the measured tissue SERS spectra achieved diagnostic sensitivity of 90.9% and specificity of 97.8%. This exploratory study demonstrated great potential for developing label-free tissue SERS analysis into a clinical tool for esophageal cancer detection. (C) 2013 American Institute of Physics. [http://dx.doi.org/10.1063/1.4789996]
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页数：4
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