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Journal of Biomedical Optics • Open Access

Combined Raman and autofluorescence ex vivo diagnostics of skin cancer in near-infrared and visible regions
Author(s): Ivan A. Bratchenko; Dmitry N. Artemyev; Oleg O. Myakinin; Yulia A. Khristoforova; Alexander A. Moryatov; Sergey V. Kozlov; Valery P. Zakharov

Paper Abstract

The differentiation of skin melanomas and basal cell carcinomas (BCCs) was demonstrated based on combined analysis of Raman and autofluorescence spectra stimulated by visible and NIR lasers. It was ex vivo tested on 39 melanomas and 40 BCCs. Six spectroscopic criteria utilizing information about alteration of melanin, porphyrins, flavins, lipids, and collagen content in tumor with a comparison to healthy skin were proposed. The measured correlation between the proposed criteria makes it possible to define weakly correlated criteria groups for discriminant analysis and principal components analysis application. It was shown that the accuracy of cancerous tissues classification reaches 97.3% for a combined 6-criteria multimodal algorithm, while the accuracy determined separately for each modality does not exceed 79%. The combined 6-D method is a rapid and reliable tool for malignant skin detection and classification.

Paper Details

Date Published: 16 February 2017
PDF: 10 pages
J. Biomed. Opt. 22(2) 027005 doi: 10.1117/1.JBO.22.2.027005
Published in: Journal of Biomedical Optics Volume 22, Issue 2
Show Author Affiliations
Ivan A. Bratchenko, Samara Univ. (Russian Federation)
Dmitry N. Artemyev, Samara Univ. (Russian Federation)
Oleg O. Myakinin, Samara Univ. (Russian Federation)
Yulia A. Khristoforova, Samara Univ. (Russian Federation)
Alexander A. Moryatov, Samara State Medical Univ. (Russian Federation)
Sergey V. Kozlov, Samara State Medical Univ. (Russian Federation)
Valery P. Zakharov, Samara Univ. (Russian Federation)

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