Please use this identifier to cite or link to this item: 10.3390/diagnostics11081315
Title: Quantitative multispectral imaging differentiates melanoma from seborrheic keratosis
Authors: Bozsányi, Szabolcs
Farkas, Klára
Bánvölgyi, András
Lőrincz, Kende
Fésűs, Luca
Anker, Pálma
Zakariás, Sára
Jobbágy, Antal
Lihacova, Ilze
Lihachev, Alexey
Lange, Marta
Bliznuks, Dmitrijs
Medvecz, Márta
Kiss, Norbert
Wikonkál, Norbert M.
Keywords: Autofluorescence imaging;Dermoscopy;Diagnosis;Diffuse reflectance imaging;LED;Melanoma;Quantitative analysis;Seborrheic keratosis;1.3 Physical sciences;1.4 Chemical sciences;1.6 Biological sciences;2.6 Medical engineering;1.1. Scientific article indexed in Web of Science and/or Scopus database;Clinical Biochemistry;SDG 3 - Good Health and Well-being
Issue Date: Aug-2021
Citation: Bozsányi , S , Farkas , K , Bánvölgyi , A , Lőrincz , K , Fésűs , L , Anker , P , Zakariás , S , Jobbágy , A , Lihacova , I , Lihachev , A , Lange , M , Bliznuks , D , Medvecz , M , Kiss , N & Wikonkál , N M 2021 , ' Quantitative multispectral imaging differentiates melanoma from seborrheic keratosis ' , Diagnostics , vol. 11 , no. 8 , 1315 . https://doi.org/10.3390/diagnostics11081315
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.
Description: Funding Information: This work was supported by grants from the EFOP-3.6.3-VEKOP-16-2017-00009 (S.B., P.A.) EFOP-3.6.3-VEKOP-16 (S.B.) the ÚNKP-20-4-II-SE-7 (N.K.) and ÚNKP-20-3-I-SE-24 (S.Z.) New National Excellence Program of the Ministry For Innovation and Technology from the source of the National Research, Development and Innovation Fund of Hungary and the European Regional Development Fund projects “Time-resolved autofluorescence methodology for non-invasive skin cancer diagnostics” [No. 1.1.1.2/16/I/001, agreement No. 1.1.1.2/VIAA/1/16/014 (A.L.)] and “Development and clinical validation of a novel cost effective multi-modal methodology for early diagnostics of skin cancers” [No. 1.1.1.2/16/I/001 agreement No. 1.1.1.2/VIAA/1/16/052 (I.L.)] and the National Research, Development and Innovation Office of Hungary—NKFIH (FK_131916, 2019 (Semmelweis University, M.M.)). Publisher Copyright: © 2021 by the authors.
DOI: 10.3390/diagnostics11081315
ISSN: 2075-4418
Appears in Collections:Research outputs from Pure / Zinātniskās darbības rezultāti no ZDIS Pure

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