期刊
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
卷 235, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.saa.2020.118267
关键词
Surface-enhanced Raman scattering (SERS); Sjogren's syndrome; 2D-shear wave elastography; PCA-LDA; Saliva
类别
资金
- Competitiveness Operational Programme 2014-2020 under the European Regional Development Fund [POC-A1-A1.1.4-E-2015, P_37_765]
- Romanian Ministry of Research and Innovation, CCCDI-UEFISCDI within PNCDI III [PN-III-P4-ID-PCCF-2016-0112]
In this study, we combine the molecular structural information gained by SERS of saliva samples with the morphological data given by two-dimensional shear wave elastography (2D-SWE) (SuperSonic Imagine, Aixplorer) of parotid glands in the case of n=31 patients with Sjogren's syndrome (SjS) and n=22 controls, with the aim to discriminate between the two groups. The overall classification accuracy yielded by a hybrid principal component analysis-linear discriminant analysis (PCA-LDA) model based on both SERS and elastography (81%) was superior to that yielded by SERS spectra alone (75%) and elastography data alone (71%). This preliminary study is the first report on the use of 2D-SWE of parotid glands for the diagnosis of SjS as well as the first to describe the diagnosis of SjS based on the SERS spectra of dried saliva samples, the results suggesting that the strategy of combining the two methods could improve the diagnosis of SjS. (C) 2020 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据