Discriminating basal cell carcinoma from perilesional skin using high wave-number Raman spectroscopy
| Autor: | Tom C. Bakker Schut, Annieke Nijssen, Gerwin J. Puppels, Martino Neumann, Kees Maquelin, Peter J. Caspers, Luís F. Santos, Jan C. den Hollander |
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| Přispěvatelé: | Dermatology, Surgery, Pathology |
| Rok vydání: | 2007 |
| Předmět: |
Pathology
medicine.medical_specialty Optical fiber Materials science Skin Neoplasms Biomedical Engineering Spectrum Analysis Raman Sensitivity and Specificity law.invention Biomaterials symbols.namesake Nuclear magnetic resonance law Biopsy medicine Humans Basal cell carcinoma Diagnosis Computer-Assisted High wave number Skin integumentary system medicine.diagnostic_test Discriminant Analysis Reproducibility of Results medicine.disease Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Tissue optics Carcinoma Basal Cell symbols Skin cancer Raman spectroscopy |
| Zdroj: | Journal of Biomedical Optics, 12(3). SPIE |
| ISSN: | 1560-2281 1083-3668 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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