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dc.contributor.authorSaratxaga, Cristina L.
dc.contributor.authorAsumendi Mallea, Aintzane
dc.contributor.authorGardeazabal, Jesús
dc.contributor.authorIzu, Rosa M.
dc.contributor.authorSánchez Díaz, Ana M.
dc.contributor.authorCancho Galán, Goikoana
dc.contributor.authorMorales, Celia
dc.contributor.authorLage, Sergio
dc.contributor.authorBoyano, María
dc.contributor.authorConde Portilla, Olga María 
dc.contributor.authorGarrote, Estíbaliz
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2023-05-04T08:08:43Z
dc.date.available2023-05-04T08:08:43Z
dc.date.issued2023-03
dc.identifier.issn2075-1729
dc.identifier.urihttps://hdl.handle.net/10902/28712
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.format.extent26 p.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rights© 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.es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceLife, 2023, 13(3), 625es_ES
dc.subject.otherSkin canceres_ES
dc.subject.otherMelanomaes_ES
dc.subject.otherOCTes_ES
dc.subject.otherHEes_ES
dc.subject.otherOptical biopsyes_ES
dc.subject.otherHistopathologyes_ES
dc.subject.otherOptical propertieses_ES
dc.subject.otherTextural propertieses_ES
dc.subject.otherCADxes_ES
dc.titleMelanoma and nevi subtype histopathological characterization with optical coherence tomographyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.3390/life13030625
dc.type.versionpublishedVersiones_ES


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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.Excepto si se señala otra cosa, la licencia del ítem se describe como © 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.