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Visual analysis of automated segmentation in the diagnosis of focal cortical dysplasias with magnetic resonance imaging

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Visual analysis of automated segmentation in the diagnosis of focal cortical dysplasias with magnetic resonance imaging

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Nombre: Sepúlveda;Rojas;Faure ...
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dc.contributor.author Sepúlveda, M. Magdalena es_ES
dc.contributor.author Rojas, Gonzalo M. es_ES
dc.contributor.author Faure, Evelyng es_ES
dc.contributor.author Pardo, Claudio R. es_ES
dc.contributor.author las Heras, Facundo es_ES
dc.contributor.author Okuma, Cecilia es_ES
dc.contributor.author Cordovez, Jorge es_ES
dc.contributor.author de la Iglesia-Vayá, María es_ES
dc.contributor.author Molina Mateo, José es_ES
dc.contributor.author Gálvez, Marcelo es_ES
dc.date.accessioned 2021-05-20T03:33:40Z
dc.date.available 2021-05-20T03:33:40Z
dc.date.issued 2020-01 es_ES
dc.identifier.issn 1525-5050 es_ES
dc.identifier.uri http://hdl.handle.net/10251/166529
dc.description.abstract [EN] Focal cortical dysplasias (FCDs) are a frequent cause of epilepsy. It has been reported that up to 40% of them cannot be visualized with conventional magnetic resonance imaging (MRI). The main objective of this work was to evaluate by means of a retrospective descriptive observational study whether the automated brain segmentation is useful for detecting FCD. One hundred and fifty-five patients, who underwent surgery between the years 2009 and 2016, were reviewed. Twenty patients with FCD confirmed by histology and a preoperative segmentation study, with ages ranging from 3 to 43 years (14 men), were analyzed. Three expert neuroradiologists visually analyzed conventional and advancedMRI with automated segmentation. They were classified into positive and negative concerning visualization of FCD by consensus. Of the 20 patients evaluated with conventional MRI, 12 were positive for FCD.Of the negative studies for FCD with conventional MRI, 2 (25%) were positive when they were analyzed with automated segmentation. In 13 of the 20 patients (with positive segmentation for FCD), cortical thickening was observed in 5 (38.5%), while pseudo thickening was observed in the rest of patients (8, 61.5%) in the anatomical region of the brain corresponding to the dysplasia. This work demonstrated that automated brain segmentation helps to increase detection of FCDs that are unable to be visualized in conventional MRI images. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Epilepsy & Behavior es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Brain segmentation es_ES
dc.subject FreeSurfer es_ES
dc.subject Focal cortical dysplasia es_ES
dc.subject FCD es_ES
dc.subject Epilepsy es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.title Visual analysis of automated segmentation in the diagnosis of focal cortical dysplasias with magnetic resonance imaging es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.yebeh.2019.106684 es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada es_ES
dc.description.bibliographicCitation Sepúlveda, MM.; Rojas, GM.; Faure, E.; Pardo, CR.; Las Heras, F.; Okuma, C.; Cordovez, J.... (2020). Visual analysis of automated segmentation in the diagnosis of focal cortical dysplasias with magnetic resonance imaging. Epilepsy & Behavior. 102:1-10. https://doi.org/10.1016/j.yebeh.2019.106684 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.yebeh.2019.106684 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 10 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 102 es_ES
dc.identifier.pmid 31778880 es_ES
dc.relation.pasarela S\397893 es_ES
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