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口腔黏膜的自体荧光特性。

Autofluorescence characteristics of oral mucosa.

作者信息

Ingrams D R, Dhingra J K, Roy K, Perrault D F, Bottrill I D, Kabani S, Rebeiz E E, Pankratov M M, Shapshay S M, Manoharan R, Itzkan I, Feld M S

机构信息

Otolaryngology Research Center for advanced Endoscopic Applications, New England Medical Center, Tufts University School of Medicine, Boston, MA 02111, USA.

出版信息

Head Neck. 1997 Jan;19(1):27-32. doi: 10.1002/(sici)1097-0347(199701)19:1<27::aid-hed5>3.0.co;2-x.

DOI:10.1002/(sici)1097-0347(199701)19:1<27::aid-hed5>3.0.co;2-x
PMID:9030941
Abstract

BACKGROUND

The fluorescence characteristics of tissues depend upon their biochemical composition and histomorphological architecture, both of which undergo a change during malignant transformation. These changes are detectable as an alteration in the fluorescence spectral profile of the tissues.

METHODS

Biopsy specimens from clinically suspicious lesions and normal-appearing oral mucosa were obtained from patients. Fluorescence spectroscopic measurements were obtained to study the differences between normal and dysplastic tissues and to determine the most appropriate excitation wavelength(s) for exploiting these differences.

RESULTS

Fluorescence spectra from a total of 12 histologically normal (healthy mucosa or benign lesions) and ten abnormal (dysplastic or malignant) tissue samples were compared. Significant spectral differences were seen between the two groups. These differences were most marked at the excitation wavelength of 410 nm. Using this wavelength, fluorescence correctly diagnosed 20 of 22 samples studied.

CONCLUSIONS

This technique accurately differentiates normal from abnormal tissues in vitro and has the potential applications for in vivo use as a noninvasive diagnostic tool.

摘要

背景

组织的荧光特性取决于其生化组成和组织形态结构,在恶性转化过程中这两者都会发生变化。这些变化可通过组织荧光光谱轮廓的改变检测到。

方法

从患者身上获取临床可疑病变和外观正常的口腔黏膜的活检标本。进行荧光光谱测量以研究正常组织和发育异常组织之间的差异,并确定利用这些差异的最合适激发波长。

结果

比较了总共12个组织学正常(健康黏膜或良性病变)和10个异常(发育异常或恶性)组织样本的荧光光谱。两组之间存在显著的光谱差异。这些差异在410nm激发波长下最为明显。使用该波长,荧光正确诊断了所研究的22个样本中的20个。

结论

该技术在体外能准确区分正常组织和异常组织,并且有作为非侵入性诊断工具用于体内的潜在应用。

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