Discriminating basal cell carcinoma from perilesional skin using high wave-number Raman spectroscopy.
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.
Nijssen
Annieke
A
Erasmus MC, Center for Optical Diagnostics and Therapy, Department of Dermatology, Rotterdam, The Netherlands. a.nijssen@erasmusmc.nl
Maquelin
Kees
K
Santos
Luis F
LF
Caspers
Peter J
PJ
Bakker Schut
Tom C
TC
den Hollander
Jan C
JC
Neumann
Martino H A
MH
Puppels
Gerwin J
GJ
D002280:Basal Cell Carcinoma / Q000175:diagnosis*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D016002:Discriminant Analysis; D006801:Humans; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012867:Skin / Q000473:pathology*; D012878:Skin Neoplasms / Q000175:diagnosis*; D013059:Spectrum Analysis, Raman / Q000379:methods*