Discriminating basal cell carcinoma from perilesional skin using high wave-number Raman spectroscopy
Discriminating basal cell carcinoma from perilesional skin using high wave-number Raman spectroscopy
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DOI：
10.1117/1.2750287
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发表时间：
2007-05-01
影响因子：
3.5
通讯作者：
Puppels, Gerwin J.
中科院分区：
文献类型：
--
作者：
Nijssen, Annieke;Maquelin, Kees;Puppels, Gerwin J.
越来越多的文献表明，拉曼光谱是皮肤癌诊断和体内肿瘤边界划分的一种有前途的工具。然而，体内诊断工具的开发受到以下事实的阻碍，即在所谓的指纹区域中适合于拉曼光谱的光纤探针的构造是复杂的。相反，高波数区域的使用允许光纤探头具有非常简单的设计。我们研究高波数拉曼光谱（2800至3125 cm（-1））是否能够提供足够的信息，基底细胞癌（BCC）和非受累皮肤之间的非侵入性区分。用一个简单的光纤探针，从19个基底细胞癌活检标本和9个病灶周围皮肤活检标本获得了拉曼光谱。一个线性判别分析（LDA）为基础的组织分类模型，区分BCC和非参与皮肤之间的高精度。这是基于光纤拉曼光谱的临床皮肤病学应用发展的关键一步。(C)2007年，由光学仪器工程师协会（Society of Photo-Optical Instrumentation Engineers）主办。
An expanding body of literature suggests Raman spectroscopy is a promising tool for skin cancer diagnosis and in-vivo tumor border demarcation. The development of an in-vivo diagnostic tool is, however, hampered by the fact that construction of fiber optic probes suitable for Raman spectroscopy in the so-called fingerprint region is complicated. In contrast, the use of the high wave-number region allows for fiber optic probes with a very simple design. We investigate whether high wave-number Raman spectroscopy (2800 to 3125 cm(-1)) is able to provide sufficient information for noninvasive discrimination between basal cell carcinoma (BCC) and noninvolved skin. Using a simple fiber optic probe, Raman spectra are obtained from 19 BCC biopsy specimens and 9 biopsy specimens of perilesional skin. A linear discriminant analysis (LDA)-based tissue classification model is developed, which discriminates between BCC and noninvolved skin with high accuracy. This is a crucial step in the development of clinical dermatological applications based on fiber optic Raman spectroscopy. (C) 2007 Society of Photo-Optical Instrumentation Engineers.