Autofluorescence and diffuse reflectance spectroscopy for oral oncology
Autofluorescence and diffuse reflectance spectroscopy for oral oncology
复制标题
DOI：
10.1002/lsm.20122
复制
发表时间：
2005-06-01
影响因子：
2.4
通讯作者：
Roodenburg, JLN
中科院分区：
文献类型：
--
作者：
de Veld, DCG;Skurichina, M;Roodenburg, JLN
背景和目的：自体荧光光谱和漫反射光谱在组织诊断中分别使用和联合使用。在此之前，我们评估了自体荧光光谱在口腔(前)恶性肿瘤分类中的价值。研究设计/材料与方法：记录172例口腔病变和70例健康志愿者的自体荧光和漫反射光谱。自体荧光光谱利用漫反射光谱对血液吸收效应进行了一级校正。应用主成分分析(PCA)结合不同的分类器来区分(1)癌和(2)所有病变与正常口腔黏膜，(3)异常增生性病变和恶性病变与良性病变。结果：癌与正常粘膜的分类在漫反射光谱和校正的自体荧光(接收器操作员特征(ROC)面积高达0.98)方面都有很好的结果。对于自发荧光和漫反射光谱，病变与健康粘膜的分类是成功的(ROC面积达到0.90)。然而，对于原始或校正的自体荧光光谱(ROC面积0.70)，良性病变和(癌前)病变的分类不成功。对于漫反射光谱，结果略好(ROC面积达0.77)。结论：平面和校正后的自发荧光光谱和漫反射光谱的结果相似。用于区分病变和健康口腔粘膜的相关信息可能充分包含在血液吸收和散射信息以及校正的自体荧光中。然而，这两种类型的信息都不能区分良性、发育不良和恶性病变。将自体荧光和反射结合起来，只会略微改善结果。(C)2005年Wiley-Liss，Inc.
Background and Objectives: Autofluorescence and diffuse reflectance spectroscopy have been used separately and combined for tissue diagnostics. Previously, we assessed the value of autofluorescence spectroscopy for the classification of oral (pre-)malignancies. In the present study, we want to determine the contributions of diffuse reflectance and autofluorescence spectroscopy to diagnostic performance.Study Design/Materials and Methods: Autofluorescence and diffuse reflectance spectra were recorded from 172 oral lesions and 70 healthy volunteers. Autofluorescence, spectra were corrected in first order for blood absorption effects using diffuse reflectance spectra. Principal Components Analysis (PCA) with various classifiers was applied to distinguish (1) cancer and (2) all lesions from healthy oral mucosa, and (3) dysplastic and malignant lesions from benign lesions. Autofluorescence and diffuse reflectance spectra were evaluated separately and combined.Results: The classification of cancer versus healthy mucosa gave excellent results for diffuse reflectance as well as corrected autofluorescence (Receiver Operator Characteristic (ROC) areas up to 0.98). For both autofluorescence and diffuse reflectance spectra, the classification of lesions versus healthy mucosa was successful (ROC areas up to 0.90). However, the classification of benign and (pre-)malignant lesions was not successful for raw or corrected autofluorescence spectra (ROC areas < 0.70). For diffuse reflectance spectra, the results were slightly better (ROC areas up to 0.77).Conclusions: The results for plain and corrected autofluorescence as well as diffuse reflectance spectra were similar. The relevant information for distinguishing lesions from healthy oral mucosa is probably sufficiently contained in blood absorption and scattering information, as well as in corrected autofluorescence. However, neither type of information is capable of distinguishing benign from dysplastic and malignant lesions. Combining autofluorescence and reflectance only slightly improved the results. (c) 2005 Wiley-Liss, Inc.