Melanoma diagnosis by Raman spectroscopy and neural networks: structure alterations in proteins and lipids in intact cancer tissue.
Melanoma is the most aggressive skin cancer. The specificity and sensitivity of clinical diagnosis varies from around 40% to 80%. Here, we investigated whether the chemical changes in the melanoma tissue detected by Raman spectroscopy and neural networks can be used for diagnostic purposes. Near-infrared Fourier transform Raman spectra were obtained from samples of melanoma (n=22) and other skin tumors that can be clinically confused with melanoma: pigmented nevi (n=41), basal cell carcinoma (n=48), seborrheic keratoses (n=23), and normal skin (n=89). A sensitivity analysis of spectral frequencies used by a neural network was performed to determine the importance of the individual components in the Raman spectra. Visual inspection of the Raman spectra suggested that melanoma could be differentiated from pigmented nevi, basal cell carcinoma, seborrheic keratoses, and normal skin due to the decrease in the intensity of the amide I protein band around 1660 cm-1. Moreover, melanoma and basal cell carcinoma showed an increase in the intensity of the lipid-specific band peaks around 1310 cm-1 and 1330 cm-1, respectively. Band alterations used in the visual inspection were also independently identified by a neural network for melanoma diagnosis. The sensitivity and specificity for diagnosis of melanoma achieved by neural network analysis of Raman spectra were 85% and 99%, respectively. We propose that neural network analysis of near-infrared Fourier transform Raman spectra could provide a novel method for rapid, automated skin cancer diagnosis on unstained skin samples.
Gniadecka
Monika
M
Department of Dermatology, Bispebjerg Hospital, University of Copenhagen, Denmark. monikajustyna@hotmail.com
Philipsen
Peter Alshede
PA
Sigurdsson
Sigurdur
S
Wessel
Sonja
S
Nielsen
Ole Faurskov
OF
Christensen
Daniel Højgaard
DH
Hercogova
Jana
J
Rossen
Kristian
K
Thomsen
Henrik Klem
HK
Gniadecki
Robert
R
Hansen
Lars Kai
LK
Wulf
Hans Christian
HC
D003937:Diagnosis, Differential; D006801:Humans; D017492:Keratosis, Seborrheic / Q000175:diagnosis; D008055:Lipids / Q000737:chemistry; D008545:Melanoma / Q000175:diagnosis*; D018295:Neoplasms, Basal Cell / Q000175:diagnosis; D016571:Neural Networks, Computer; D009508:Nevus, Pigmented / Q000175:diagnosis; D011506:Proteins / Q000737:chemistry; D012680:Sensitivity and Specificity; D012867:Skin / Q000737:chemistry; D012878:Skin Neoplasms / Q000175:diagnosis*; D013059:Spectrum Analysis, Raman
D008055:Lipids; D011506:Proteins