Quantitative multispectral imaging differentiates melanoma from seborrheic keratosis

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dc.contributor.authorBozsányi, Szabolcs
dc.contributor.authorFarkas, Klára
dc.contributor.authorBánvölgyi, András
dc.contributor.authorLőrincz, Kende
dc.contributor.authorFésűs, Luca
dc.contributor.authorAnker, Pálma
dc.contributor.authorZakariás, Sára
dc.contributor.authorJobbágy, Antal
dc.contributor.authorLihacova, Ilze
dc.contributor.authorLihachev, Alexey
dc.contributor.authorLange, Marta
dc.contributor.authorBliznuks, Dmitrijs
dc.contributor.authorMedvecz, Márta
dc.contributor.authorKiss, Norbert
dc.contributor.authorWikonkál, Norbert M.
dc.date.accessioned2022-11-21T11:25:01Z
dc.date.available2022-11-21T11:25:01Z
dc.date.issued2021-08
dc.descriptionFunding 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.
dc.description.abstractMelanoma 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.en
dc.description.statusPeer reviewed
dc.format.extent11854726
dc.identifier.citationBozsányi, 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
dc.identifier.doi10.3390/diagnostics11081315
dc.identifier.issn2075-4418
dc.identifier.urihttps://dspace.rsu.lv/jspui/handle/123456789/9792
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85111968132&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofDiagnostics
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAutofluorescence imaging
dc.subjectDermoscopy
dc.subjectDiagnosis
dc.subjectDiffuse reflectance imaging
dc.subjectLED
dc.subjectMelanoma
dc.subjectQuantitative analysis
dc.subjectSeborrheic keratosis
dc.subject1.3 Physical sciences
dc.subject1.4 Chemical sciences
dc.subject1.6 Biological sciences
dc.subject2.6 Medical engineering
dc.subject1.1. Scientific article indexed in Web of Science and/or Scopus database
dc.subjectClinical Biochemistry
dc.subjectSDG 3 - Good Health and Well-being
dc.titleQuantitative multispectral imaging differentiates melanoma from seborrheic keratosisen
dc.type/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article

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