Digital Dewaxing of Raman Signals: Discrimination Between Nevi and Melanoma Spectra Obtained from Paraffin-Embedded Skin Biopsies
Digital Dewaxing of Raman Signals: Discrimination Between Nevi and Melanoma Spectra Obtained from Paraffin-Embedded Skin Biopsies
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DOI：
10.1366/000370209788347048
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发表时间：
2009-05-01
影响因子：
3.5
通讯作者：
Piot, Olivier
中科院分区：
文献类型：
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作者：
Tfayli, Ali;Gobinet, Cyril;Piot, Olivier
恶性黑色素瘤（MM）是影响皮肤的最严重的肿瘤，占所有皮肤癌死亡人数的四分之三。拉曼光谱是一种很有前途的非破坏性工具，已越来越多地用于表征癌组织的分子特征。使用不同的多元统计分析技术，以提取相关的信息，可以被认为是一个特定的病理功能光谱描述符。石蜡包埋（上蜡）是一种高效的方法，用于在肿瘤库中保存活检标本数年。然而，使用非脱蜡福尔马林固定的石蜡包埋组织进行拉曼光谱研究仍然非常有限，限制了该技术作为生物医学目的常规分析工具的发展。这是由于石蜡的高强度信号掩盖了生物组织的重要振动。除了耗时和化学密集之外，化学脱蜡方法效率不高，并且它们在组织中留下石蜡的痕迹，这影响了拉曼信号。在本研究中，我们使用独立成分分析（ICA）的拉曼光谱图像上收集的黑色素瘤和痣样本。从这些图像中获得的源，然后使用非负约束最小二乘法（NCLS），从每个单独的光谱的痣和黑色素瘤的光谱图像的石蜡的贡献消除。校正光谱的两种类型的病变，然后进行比较，并分类到树状图使用层次聚类分析（HCA）。
Malignant melanoma (MM) is the most severe tumor affecting the skin and accounts for three quarters of all skin cancer deaths. Raman spectroscopy is a promising nondestructive tool that has been increasingly used for characterization of the molecular features of cancerous tissues. Different multivariate statistical analysis techniques are used in order to extract relevant information that can be considered as functional spectroscopic descriptors of a particular pathology. Paraffin embedding (waxing) is a highly efficient process used to conserve biopsies in tumor banks for several years. However, the use of non-dewaxed formalin-fixed paraffin-embedded tissues for Raman spectroscopic investigations remains very restricted, limiting the development of the technique as a routine analytical tool for biomedical purposes. This is due to the highly intense signal of paraffin, which masks important vibrations of the biological tissues. In addition to being time consuming and chemical intensive, chemical dewaxing methods are not efficient and they leave traces of the paraffin in tissues, which affects the Raman signal. In the present study, we use independent component analysis (ICA) on Raman spectral images collected on melanoma and nevus samples. The sources obtained from these images are then used to eliminate, using non-negativity constrained least squares (NCLS), the paraffin contribution from each individual spectrum of the spectral images of nevi and melanomas. Corrected spectra of both types of lesion are then compared and classified into dendrograms using hierarchical cluster analysis (HCA).