Multiparametric spectral diagnosis of skin cancer

Valery P. Zakharov; Lyudmila A. Bratchenko; Yulia A. Khristoforova; Oleg O. Myakinin; Dmitry N. Artemyev; Alexander A. Moryatov; Sergey V. Kozlov; Ekaterina G. Borisova; Tsanislava I. Genova; Petranka P. Troyanova; Ivan A. Bratchenko

doi:10.1117/12.2555306

2 April 2020 Multiparametric spectral diagnosis of skin cancer

Valery P. Zakharov, Lyudmila A. Bratchenko, Yulia A. Khristoforova, Oleg O. Myakinin, Dmitry N. Artemyev, Alexander A. Moryatov, Sergey V. Kozlov, Ekaterina G. Borisova, Tsanislava I. Genova, Petranka P. Troyanova, Ivan A. Bratchenko

Author Affiliations +

Proceedings Volume 11363, Tissue Optics and Photonics; 1136310 (2020) https://doi.org/10.1117/12.2555306
Event: SPIE Photonics Europe, 2020, Online Only

Abstract

A comparative in vivo study of skin tumors and normal skin was performed using Raman and autofluorescence spectral signals simultaneously recorded in the range of 800–1000 nm with a help of portable spectrometer and 785 nm excitation laser. The 1012 spectra were collected from 506 patients of the Samara Clinical Oncological Dispensary. The classification of spectral data for various tumors and normal skin was carried out by the PLS-DA method. The bands with most important spectral differences between analyzed skin tissues were found with the projection on latent structures analysis. The spectral differences showed significant changes among normal skin and tumors associated with such biochemicals as elastin, collagen, melanin, nucleic acid, lipids, phenylalanine. Results of the analysis were presented by utilizing sensitivity, specificity and accuracy and receiving operating characteristic (ROC) curve. To classify 314 spectra of benign tumors and 314 spectra of normal skin the mean accuracy was found to be a 0.86; for classification of 192 spectra of skin cancer and 192 spectra of normal skin the mean accuracy was found to be a 0.84; when the benign tumors and skin cancer were combined and differentiated from all normal skin 0.79 mean accuracy was obtained. The achieved results demonstrates Raman and autofluorescence spectra efficiency in highlighting biochemical changes during tumor growth.

Conference Presentation

Citation Download Citation

Valery P. Zakharov, Lyudmila A. Bratchenko, Yulia A. Khristoforova, Oleg O. Myakinin, Dmitry N. Artemyev, Alexander A. Moryatov, Sergey V. Kozlov, Ekaterina G. Borisova, Tsanislava I. Genova, Petranka P. Troyanova, and Ivan A. Bratchenko "Multiparametric spectral diagnosis of skin cancer", Proc. SPIE 11363, Tissue Optics and Photonics, 1136310 (2 April 2020); https://doi.org/10.1117/12.2555306

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available