Abstract

Optical methods are increasingly being used for the early diagnosis of skin cancer. This approach allows for detecting the component composition changes of tissue in a non-invasive manner. Autofluorescence spectroscopy is a sensitive method for tumor diagnosis and the method availability distinguishes it among other approaches. This work is devoted to fluorescence modeling of skin tissues induced by 450 nm radiation. A multilayer skin model was developed using a set of fluorophores (eumelanin, lipofuscin, riboflavin, beta-carotene, bilirubin) matched with excitation radiation. Model autofluorescence spectra of normal skin tissues of the northern phenotype and pathological changes were obtained. The results were compared with the results of previous experimental studies of ex vivo autofluorescence spectra of the skin and neoplasms.

Highlights

  • Skin cancer is one of the most common forms of cancer in Russia and the world [1]

  • Laser induced autofluorescence (AF) spectroscopy is an effective method for early detection of skin cancer because of its high sensitivity, simple measurement technique, and the absence of contrast agents in the studied tissue [5]

  • The depth of radiation penetration with a wavelength of 450 nm was initially analyzed in our model. This fact should be reviewed since the results of model experiments in published papers [15, 17] were applied for a combination of layers or for a limited set of fluorophores, respectively

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Summary

Introduction

Skin cancer is one of the most common forms of cancer in Russia and the world [1]. Optical methods have been extensively used to diagnose neoplasms, since they are non-invasive and can be applied to real-time analysis [2,3,4]. One of the promising methods of non-invasive skin lesion examination is the analysis of the tissue intrinsic fluorescence. Laser induced autofluorescence (AF) spectroscopy is an effective method for early detection of skin cancer because of its high sensitivity, simple measurement technique, and the absence of contrast agents in the studied tissue [5]. Economic efficiency of AF spectroscopy for cancer diagnosis is an important factor in the possible use of the method in clinical studies

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