Research Papers: Sensing

Combined Raman and autofluorescence ex vivo diagnostics of skin cancer in near-infrared and visible regions

[+] Author Affiliations
Ivan A. Bratchenko, Dmitry N. Artemyev, Oleg O. Myakinin, Yulia A. Khristoforova, Valery P. Zakharov

Samara National Research University, Department of Laser and Biotechnical Systems, Samara, Russia

Alexander A. Moryatov, Sergey V. Kozlov

Samara State Medical University, Department of Oncology, Samara, Russia

J. Biomed. Opt. 22(2), 027005 (Feb 16, 2017). doi:10.1117/1.JBO.22.2.027005
History: Received October 13, 2016; Accepted January 31, 2017
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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.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Ivan A. Bratchenko ; Dmitry N. Artemyev ; Oleg O. Myakinin ; Yulia A. Khristoforova ; Alexander A. Moryatov, et al.
"Combined Raman and autofluorescence ex vivo diagnostics of skin cancer in near-infrared and visible regions", J. Biomed. Opt. 22(2), 027005 (Feb 16, 2017). ; http://dx.doi.org/10.1117/1.JBO.22.2.027005


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