Development of a mathematical criterion for determining the configuration of a bimodal spectroscopic device providing the most effective diagnosis of non-melanoma skin cancer based on the clinical parameters of samples | Vestnik Tomskogo gosudarstvennogo universiteta. Matematika i mekhanika – Tomsk State University Journal of Mathematics and Mechanics. 2025. № 96. DOI: 10.17223/19988621/96/5

Development of a mathematical criterion for determining the configuration of a bimodal spectroscopic device providing the most effective diagnosis of non-melanoma skin cancer based on the clinical parameters of samples

This study is devoted to the development and validation of a mathematical criterion for determining the configuration of the bimodal (autofluorescence and diffuse reflectance spectroscopy) spectroscopic device (SpectroLive), which provides the most effective diagnosis of non-melanoma skin cancer (NMSC) depending on the age and gender of patients, their skin phototype, and anatomical localization of the lesion. Pre-processing of the diffuse reflectance and autofluorescence spectra with different excitation wavelengths measured on the skin of people with NMSC includes noise removal, smoothing, and outliers’ removal stages. The suggested mathematical criterion for spectra separability is based on the curve similarity criterion and is used for each unique combination of the clinical parameters of the samples. The application of such criterion allows identifying the data channels for each tested combination of the clinical parameters with the most significant differences between the spectra of NMSC and healthy skin. The results of this study can be used in a clinical procedure for diagnosing NMSC using the SpectroLive device. The developed spectra separability criterion is applicable for assessing the separability of groups of spectra and other data of the similar structure in clinical and other studies.

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Keywords

non-melanoma skin cancer, spectra separability criterion, spectroscopy, diagnosis

Authors

Name	Organization	E-mail
Kupriyanov Valentin V.	Tomsk State University	valentin.kupriyanov@univ-lorraine.fr
Kistenyov Yuriy V.	Tomsk State University	yuk@iao.ru
Krivova Nataliya A.	Tomsk State University	nakri@res.tsu.ru
Dunaevskiy Grigoriy E.	Tomsk State University	proecs@mail.tsu.ru

Всего: 4

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