Quantitative Multispectral Imaging Differentiates Melanoma from Seborrheic Keratosis

Author:

Bozsányi Szabolcs1ORCID,Farkas Klára1ORCID,Bánvölgyi András1,Lőrincz Kende1,Fésűs Luca1,Anker Pálma1,Zakariás Sára1,Jobbágy Antal1,Lihacova Ilze2ORCID,Lihachev Alexey2ORCID,Lange Marta2,Bliznuks Dmitrijs3ORCID,Medvecz Márta1ORCID,Kiss Norbert1ORCID,Wikonkál Norbert M.1

Affiliation:

1. Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary

2. Biophotonics Laboratory, Institute of Atomic Physics and Spectroscopy, University of Latvia, LV-1004 Riga, Latvia

3. Faculty of Computer Science and Information Technology, Riga Technical University, LV-1048 Riga, Latvia

Abstract

Melanoma is a melanocytic tumor that is responsible for the most skin cancer-related deaths. By contrast, seborrheic keratosis (SK) is a very common benign lesion with a clinical picture that may resemble melanoma. We used a multispectral imaging device to distinguish these two entities, with the use of autofluorescence imaging with 405 nm and diffuse reflectance imaging with 525 and 660 narrow-band LED illumination. We analyzed intensity descriptors of the acquired images. These included ratios of intensity values of different channels, standard deviation and minimum/maximum values of intensity of the lesions. The pattern of the lesions was also assessed with the use of particle analysis. We found significantly higher intensity values in SKs compared with melanoma, especially with the use of the autofluorescence channel. Moreover, we found a significantly higher number of particles with high fluorescence in SKs. We created a parameter, the SK index, using these values to differentiate melanoma from SK with a sensitivity of 91.9% and specificity of 57.0%. In conclusion, this imaging technique is potentially applicable to distinguish melanoma from SK based on the analysis of various quantitative parameters. For this application, multispectral imaging could be used as a screening tool by general physicians and non-experts in the everyday practice.

Funder

EFOP-3.6.3-VEKOP

Development and Innovation Fund of Hungary and the European Regional Development Fund projects “Time-resolved autofluorescence methodology for non-invasive skin cancer diagnostics”

Development and Innovation Fund of Hungary and the European Regional Development Fund projects European Regional Development Fund

National Research, Development and Innovation Office of Hungary—NKFIH

New National Excellence Program of the Ministry For Innovation and Technology from the source of the National Research

Publisher

MDPI AG

Reference75 articles.

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