1 May 2007 Discriminating basal cell carcinoma from perilesional skin using high wave-number Raman spectroscopy
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Abstract
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.
Annieke Nijssen, Kees Maquelin, Luis F. Santos, Peter J. Caspers, Tom C. Bakker Schut, Jan C. den Hollander, Martino H. A. Neumann, Gerwin J. Puppels, "Discriminating basal cell carcinoma from perilesional skin using high wave-number Raman spectroscopy," Journal of Biomedical Optics 12(3), 034004 (1 May 2007). https://doi.org/10.1117/1.2750287
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