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Parameters defining the potential applicability of Raman spectroscopy as a diagnostic tool for oral disease

机译:定义拉曼光谱作为口腔疾病诊断工具的潜在适用性的参数

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摘要

Raman spectroscopy can provide information about the molecular composition of tissues, with potential to be applied as a diagnostic tool in lieu of histopathology. Our objectives are to determine if laser Raman spectra (RS) can be acquired reliably from the oral mucosa of patients, and to determine if the RS signature of normal oral mucosa is reproducible among anatomic oral sites and among subjects of different races and gender. 25 Caucasian and 26 Asian subjects are studied using RS with a signal acquisition time of 1 s at seven specified sites within the mouth. Multivariate analysis is used to determine the variability between tissue types and between races and gender. Unique spectra are defined for various sites in the mouth and are likely related to the degree of keratinization. However, spectral concordance by site is not greatly influenced by subject ethnicity or gender. We demonstrate, for the first time, the potential in-vivo application of RS for oral mucosal disease and demonstrate its specificity for particular mucosal types in the mouth. RS offers the potential to provide a diagnosis of disease using a noninvasive, convenient, sensitive technology that provides immediate results.
机译:拉曼光谱法可以提供有关组织分子组成的信息,有可能被用作代替组织病理学的诊断工具。我们的目标是确定是否可以从患者的口腔黏膜可靠地获得激光拉曼光谱(RS),并确定正常口腔黏膜的RS标记在口腔解剖部位以及不同种族和性别的受试者之间是否可再现。使用RS研究了25名高加索人和26名亚洲人受试者在口腔中七个指定部位的信号采集时间为1秒的情况。多变量分析用于确定组织类型之间以及种族和性别之间的差异。为口腔中的各个部位定义了唯一的光谱,并且可能与角化程度有关。但是,站点的频谱一致性不会受到主题种族或性别的很大影响。我们首次证明了RS在口腔粘膜疾病中的潜在体内应用,并证明了其对口腔中特定粘膜类型的特异性。 RS提供了使用无创,方便,灵敏的技术提供即时结果的疾病诊断的潜力。

著录项

  • 来源
    《journal of biomedical optics》 |2009年第1期|p.014016.1-014016.9|共9页
  • 作者单位

    Harvard School of Dental Medicine, Department of Oral Medicine, Infection and Immunity, 188 Longwood Avenue, Boston, Massachusetts 02115 British Columbia Cancer Research Centre, Cancer Imaging Department, 675 West 10th Avenue, Vancouver, British Columbia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 14:00:55

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