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dc.contributor.authorSaratxaga, Cristina L.
dc.contributor.authorAsumendi Mallea, Aintzane ORCID
dc.contributor.authorGardeazabal García, Jesús
dc.contributor.authorIzu Belloso, Rosa María
dc.contributor.authorSánchez Díez, Ana
dc.contributor.authorCancho Galán, Goikoane
dc.contributor.authorMorales González, María Celia
dc.contributor.authorLage, Sergio
dc.contributor.authorBoyano López, María Dolores ORCID
dc.contributor.authorConde, Olga M.
dc.contributor.authorGarrote Contreras, Estíbaliz
dc.date.accessioned2023-03-30T15:00:08Z
dc.date.available2023-03-30T15:00:08Z
dc.date.issued2023-02-23
dc.identifier.citationLife 13(3) : (2023) // Article ID 625es_ES
dc.identifier.issn2075-1729
dc.identifier.urihttp://hdl.handle.net/10810/60572
dc.description.abstractBackground: Melanoma incidence has continued to rise in the latest decades, and the forecast is not optimistic. Non-invasive diagnostic imaging techniques such as optical coherence tomography (OCT) are largely studied; however, there is still no agreement on its use for the diagnosis of melanoma. For dermatologists, the differentiation of non-invasive (junctional nevus, compound nevus, intradermal nevus, and melanoma in-situ) versus invasive (superficial spreading melanoma and nodular melanoma) lesions is the key issue in their daily routine. Methods: This work performs a comparative analysis of OCT images using haematoxylin–eosin (HE) and anatomopathological features identified by a pathologist. Then, optical and textural properties are extracted from OCT images with the aim to identify subtle features that could potentially maximize the usefulness of the imaging technique in the identification of the lesion’s potential invasiveness. Results: Preliminary features reveal differences discriminating melanoma in-situ from superficial spreading melanoma and also between melanoma and nevus subtypes that pose a promising baseline for further research. Conclusions: Answering the final goal of diagnosing non-invasive versus invasive lesions with OCT does not seem feasible in the short term, but the obtained results demonstrate a step forward to achieve this.es_ES
dc.description.sponsorshipThis work has been funded by the Department of Economic Development, Sustainability and the Environment of the Basque Government (Spain) ELKARTEK projects ONKOTOOLS with grant numbers KK-2020/00069, the Spanish Ministry of Science and Education CERVERA project AI4ES with grant numbers CER-20211030, and by the ECSEL JU European project ASTONISH with the grant number 692470, UC Industrial Doctorate DI14.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/692470es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectskin canceres_ES
dc.subjectmelanomaes_ES
dc.subjectOCTes_ES
dc.subjectHEes_ES
dc.subjectoptical biopsyes_ES
dc.subjecthistopathologyes_ES
dc.subjectoptical propertieses_ES
dc.subjecttextural propertieses_ES
dc.subjectCADxes_ES
dc.titleMelanoma and Nevi Subtype Histopathological Characterization with Optical Coherence Tomographyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2023-03-28T12:56:15Z
dc.rights.holder© 2023 by the authors.Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2075-1729/13/3/625es_ES
dc.identifier.doi10.3390/life13030625
dc.contributor.funderEuropean Commission
dc.departamentoesBiología celular e histología
dc.departamentoesDermatología, oftalmología y otorrinolaringología
dc.departamentoesIngeniería de sistemas y automática
dc.departamentoeuZelulen biologia eta histologia
dc.departamentoeuDermatologia, oftalmologia eta otorrinolaringologia
dc.departamentoeuSistemen ingeniaritza eta automatika


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© 2023 by the authors.Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).
Except where otherwise noted, this item's license is described as © 2023 by the authors.Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).