Preliminary study of differentiating smears from cancerous and non-cancerous nasopharyngeal tissue using confocal Raman spectroscopy

被引:17
作者
Sun, Liqing [1 ]
Xu, Zhihong [2 ]
Huang, Wei [2 ,3 ]
Wu, Shanshan [2 ]
Lin, Xinheng [1 ]
Zhu, Fengyu [1 ]
Liu, Nengrong [2 ]
Huang, Meizhen [4 ]
Chen, Rong [2 ]
Zeng, Haishan [5 ]
机构
[1] Fujian Med Univ, Affiliated Fuzhou Hosp 1, Fuzhou 350009, Peoples R China
[2] Fujian Normal Univ, Minist Educ, Key Lab OptoElect Sci & Technol Med, Fuzhou 350007, Peoples R China
[3] Fujian Metrol Inst, Fuzhou 350003, Peoples R China
[4] Shanghai Jiao Tong Univ, Dept Phys, Inst Opt Engn, Shanghai 200240, Peoples R China
[5] British Columbia Canc Agcy, Res Ctr, Integrat Oncol Dept, Imaging Unit, 675 West 10th Ave, Vancouver, BC V5Z 1L3, Canada
基金
加拿大健康研究院; 中国国家自然科学基金;
关键词
Confocal Raman spectroscopy; Nasopharyngeal carcinoma (NPC); Tissue smears; Minimal invasive diagnostics; BASAL-CELL CARCINOMA; FINGERPRINT; DIAGNOSIS; SPECTRA; SWAB;
D O I
10.1007/s00432-015-2082-3
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Current practice for diagnosing nasopharyngeal carcinoma (NPC) is based on invasive tissue biopsy. This study aims to explore the feasibility of using Raman spectroscopy to differentiate cancerous and non-cancerous nasopharyngeal tissue smears, expecting to realize minimal invasive diagnosis using smears from in vivo mucosa tissue by Raman spectroscopy. Biopsy tissue smears were acquired from 74 patients with pathologically diagnosed nasopharyngeal diseases and measured using confocal Raman spectroscopy. Both fingerprint region and high wavenumber Raman spectra were acquired with distinguish features. Multivariate statistical analysis was used to differentiate cancerous and non-cancerous groups, achieving a diagnostic sensitivity of 87.2 and specificity of 85.7 % for differentiating NPC from nasopharyngeal non-cancerous smears. This work indicates that the method has a unique advantage in microanalysis for tissue smears which may provide a promising minimal invasive (or noninvasive) diagnosing tool for cancer diagnosis.
引用
收藏
页码:823 / 831
页数:9
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