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dc.contributor.authorChiesa Estomba, Carlos Miguel
dc.contributor.authorEchaniz Beneitez, Oier
dc.contributor.authorLarruscain Sarasola, Ekhiñe
dc.contributor.authorGonzález García, José Ángel
dc.contributor.authorSistiaga Suárez, Jon Alexander
dc.contributor.authorGraña Romay, Manuel María
dc.date.accessioned2020-01-15T08:28:32Z
dc.date.available2020-01-15T08:28:32Z
dc.date.issued2019-09-20
dc.identifier.citationCancers 11(10) : (2019) // Article ID 1409es_ES
dc.identifier.issn2072-6694
dc.identifier.urihttp://hdl.handle.net/10810/38464
dc.description.abstractRadiomics and texture analysis represent a new option in our biomarkers arsenal. These techniques extract a large number of quantitative features, analyzing their properties to incorporate them in clinical decision-making. Laryngeal cancer represents one of the most frequent cancers in the head and neck area. We hypothesized that radiomics features can be included as a laryngeal cancer precision medicine tool, as it is able to non-invasively characterize the overall tumor accounting for heterogeneity, being a prognostic and/or predictive biomarker derived from routine, standard of care, imaging data, and providing support during the follow up of the patient, in some cases avoiding the need for biopsies. The larynx represents a unique diagnostic and therapeutic challenge for clinicians due to its complex tridimensional anatomical structure. Its complex regional and functional anatomy makes it necessary to enhance our diagnostic tools in order to improve decision-making protocols, aimed at better survival and functional results. For this reason, this technique can be an option for monitoring the evolution of the disease, especially in surgical and non-surgical organ preservation treatments. This concise review article will explain basic concepts about radiomics and discuss recent progress and results related to laryngeal cancer.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectlarynxes_ES
dc.subjectcanceres_ES
dc.subjectradiomicses_ES
dc.subjecttexture analysises_ES
dc.subjectcell lung-canceres_ES
dc.subjectlocal tumor-controles_ES
dc.subjectprognostic valuees_ES
dc.subjectpet radiomicses_ES
dc.subjectresponse predictiones_ES
dc.subjectCT texturees_ES
dc.subjectheades_ES
dc.subjectimageses_ES
dc.subjectheterogeneityes_ES
dc.subjectsurvivales_ES
dc.titleRadiomics and Texture Analysis in Laryngeal Cancer. Looking for New Frontiers in Precision Medicine through Imaging Analysises_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderThis is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0)es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://www.mdpi.com/2072-6694/11/10/1409es_ES
dc.identifier.doi10.3390/cancers11101409
dc.departamentoesCiencia de la computación e inteligencia artificiales_ES
dc.departamentoeuKonputazio zientziak eta adimen artifizialaes_ES


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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0)
Except where otherwise noted, this item's license is described as This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0)