试点研究：拉曼光谱法用于鉴别人类口腔黏膜癌前病变和恶性病变与正常黏膜及良性病变
Pilot study: Raman spectroscopy in differentiating premalignant and malignant oral lesions from normal mucosa and benign lesions in humans.
作者信息
Guze Kevin, Pawluk Hanna C, Short Michael, Zeng Haishan, Lorch Jochen, Norris Charles, Sonis Stephen
机构信息
Department of Oral Medicine, Infection and Immunity, Harvard School of Dental Medicine, Boston, Massachusetts; Divisions of Oral Medicine, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, Massachusetts.
出版信息
Head Neck. 2015 Apr;37(4):511-7. doi: 10.1002/hed.23629. Epub 2014 Apr 3.
BACKGROUND
Current practice for differentiating tissue lesions are based on histopathological criteria. This process is subject to error. The purpose of this study was to test whether an alternative, tissue-based molecular signatures Raman spectra could be used to differentiate premalignant and malignant lesions from normal mucosa or benign lesions.
METHODS
Eighteen treatment naive subjects with histologically diagnosed oral disease were studied by comparing the Raman spectra of lesions with contralateral healthy sites. Principle component and multivariate analysis were used to predict which of the tissue groups the average spectrum of each lesion or normal tissue belonged.
RESULTS
The average spectra were clearly different between premalignant and malignant lesions and those derived from normal, benign tissues. Premalignant and malignant lesions could be predicted with 100% sensitivity and 77% specificity.
CONCLUSION
Raman spectroscopy (RS) offers the potential to provide point of care diagnosis of oral disease using a noninvasive, convenient, and relatively inexpensive technology.
背景
目前区分组织病变的方法是基于组织病理学标准。这个过程容易出错。本研究的目的是测试一种基于组织的分子特征——拉曼光谱，是否可用于区分癌前病变和恶性病变与正常黏膜或良性病变。
方法
通过比较病变部位与对侧健康部位的拉曼光谱，对18例未经治疗且经组织学诊断为口腔疾病的受试者进行了研究。使用主成分分析和多变量分析来预测每个病变或正常组织的平均光谱属于哪个组织组。
结果
癌前病变和恶性病变的平均光谱与正常、良性组织的平均光谱明显不同。癌前病变和恶性病变的预测敏感性为100%，特异性为77%。
结论
拉曼光谱（RS）有可能使用一种非侵入性、便捷且相对廉价的技术提供口腔疾病的即时诊断。
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