標題: Automatic and objective oral cancer diagnosis by Raman spectroscopic detection of keratin with multivariate curve resolution analysis
作者: Chen, Po-Hsiung
Shimada, Rintaro
Yabumoto, Sohshi
Okajima, Hajime
Ando, Masahiro
Chang, Chiou-Tzu
Lee, Li-Tzu
Wong, Yong-Kie
Chiou, Arthur
Hamaguchi, Hiro-O
應用化學系
應用化學系分子科學碩博班
Department of Applied Chemistry
Institute of Molecular science
公開日期: 25-Jan-2016
摘要: We have developed an automatic and objective method for detecting human oral squamous cell carcinoma (OSCC) tissues with Raman microspectroscopy. We measure 196 independent Raman spectra from 196 different points of one oral tissue sample and globally analyze these spectra using a Multivariate Curve Resolution (MCR) analysis. Discrimination of OSCC tissues is automatically and objectively made by spectral matching comparison of the MCR decomposed Raman spectra and the standard Raman spectrum of keratin, a well-established molecular marker of OSCC. We use a total of 24 tissue samples, 10 OSCC and 10 normal tissues from the same 10 patients, 3 OSCC and 1 normal tissues from different patients. Following the newly developed protocol presented here, we have been able to detect OSCC tissues with 77 to 92% sensitivity (depending on how to define positivity) and 100% specificity. The present approach lends itself to a reliable clinical diagnosis of OSCC substantiated by the "molecular fingerprint" of keratin.
URI: http://dx.doi.org/10.1038/srep20097
http://hdl.handle.net/11536/129657
ISSN: 2045-2322
DOI: 10.1038/srep20097
期刊: SCIENTIFIC REPORTS
Volume: 6
起始頁: 0
結束頁: 0
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