Surface-enhanced Raman spectroscopy for differentiation between benign and malignant thyroid tissues

被引:40
作者
Li, Zuanfang [1 ,2 ]
Li, Chao [3 ,4 ]
Lin, Duo [5 ]
Huang, Zufang [1 ]
Pan, Jianji [3 ]
Chen, Guannan [1 ]
Lin, Juqiang [1 ]
Liu, Nenrong [1 ]
Yu, Yun [5 ]
Feng, Shangyuan [1 ]
Chen, Rong [1 ]
机构
[1] Fujian Normal Univ, Key Lab Optoelect Sci & Technol Med, Minist Educ, Fuzhou 350007, Peoples R China
[2] Fujian Univ Tradit Chinese Med, Fujian Acad Integrat Med, Fuzhou 350122, Peoples R China
[3] Fujian Med Univ, Fujian Prov Tumor Hosp, Dept Pathol, Teaching Hosp, Fuzhou 350014, Peoples R China
[4] Fujian Prov Key Lab Translat Canc Med, Fuzhou 350014, Peoples R China
[5] Fujian Univ Tradit Chinese Med, Coll Integrated Med, Fuzhou 350122, Peoples R China
基金
中国国家自然科学基金; 加拿大健康研究院;
关键词
thyroid tissues; cancer detection; surface-enhanced Raman scattering; principal component analysis; linear discriminate analysis; DIAGNOSIS; DISCRIMINATION; SCATTERING; CANCER; LASER; NANOPARTICLES;
D O I
10.1088/1612-2011/11/4/045602
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The aim of this study was to evaluate the potential of applying silver nano-particle based surface-enhanced Raman scattering (SERS) to discriminate different types of human thyroid tissues. SERS measurements were performed on three groups of tissue samples including thyroid cancers (n = 32), nodular goiters (n = 20) and normal thyroid tissues (n = 25). Tentative assignments of the measured tissue SERS spectra suggest interesting cancer specific biomolecular differences. The principal component analysis (PCA) and linear discriminate analysis (LDA) together with the leave-one-out, cross-validated technique yielded diagnostic sensitivities of 92%, 75% and 87.5%; and specificities of 82.6%, 89.4% and 84.4%, respectively, for differentiation among normal, nodular and malignant thyroid tissue samples. This work demonstrates that tissue SERS spectroscopy associated with multivariate analysis diagnostic algorithms has great potential for detection of thyroid cancer at the molecular level.
引用
收藏
页数:7
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