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dc.contributor.authorFerreño Blanco, Diego 
dc.contributor.authorRevuelta Soba, José Manuel 
dc.contributor.authorSainz-Aja Guerra, José Adolfo 
dc.contributor.authorWert Carvajal, Carlos
dc.contributor.authorCasado del Prado, José Antonio 
dc.contributor.authorDiego Cavia, Soraya 
dc.contributor.authorCarrascal Vaquero, Isidro Alfonso 
dc.contributor.authorSilva, Jacobo
dc.contributor.authorGutiérrez-Solana Salcedo, Federico 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2023-01-03T08:55:07Z
dc.date.available2023-01-03T08:55:07Z
dc.date.issued2022-12
dc.identifier.issn1350-4533
dc.identifier.issn1873-4030
dc.identifier.otherDTS17/00056
dc.identifier.urihttps://hdl.handle.net/10902/27049
dc.description.abstractThis paper is aimed at identifying by means of micro-CT the microstructural differences between normal and degenerative mitral marginal chordae tendineae. The control group is composed of 21 normal chords excised from 14 normal mitral valves from heart transplant recipients. The experimental group comprises 22 degenerative fibroelastic chords obtained at surgery from 11 pathological valves after mitral repair or replacement. In the control group the superficial endothelial cells and spongiosa layer remained intact, covering the wavy core collagen. In contrast, in the experimental group the collagen fibers were arranged as straightened thick bundles in a parallel configuration. 100 cross-sections were examined by micro-CT from each chord. Each image was randomized through the K-means machine learning algorithm and then, the global and local Shannon entropies were obtained. The optimum number of clusters, K, was estimated to maximize the differences between normal and degenerative chords in global and local Shannon entropy; the p-value after a nested ANOVA test was chosen as the parameter to be minimized. Optimum results were obtained with global Shannon entropy and 2≤K≤7, providing p < 0.01; for K=3, p = 2.86⋅10-³. These findings open the door to novel perioperative diagnostic methods in order to avoid or reduce postoperative mitral valve regurgitation recurrences.es_ES
dc.description.sponsorshipThis work is supported by the “Ministerio de Economía, Industria y Competitividad” (MINECO) and the “Instituto de Salud Carlos III” (ISCIII) of Spain, through projects INTRACARDIO (DTS17/00056) and CIBER-BBN (co-financed by FEDER funds) and IDIVAL under project DiCuTen (INNVAL16/02). The technical contributions from the members of the DICUTEN and the financial contribution from the IDIVAL are gratefully acknowledged. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. This study was approved by the Ethical Committee of Clinical Research of Cantabria – IDIVAL (Acta 02/2018).es_ES
dc.format.extent10 p.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceMedical Engineering and Physics, 2022, 110, 103919es_ES
dc.subject.otherMitral chordae tendineaees_ES
dc.subject.otherDegenerative mitral valve diseasees_ES
dc.subject.otherMicro computerized tomographyes_ES
dc.subject.otherShannon entropyes_ES
dc.subject.otherK-meanses_ES
dc.subject.otherMachine learninges_ES
dc.titleShannon entropy as a reliable score to diagnose human fibroelastic degenerative mitral chords: a micro-ct ex-vivo studyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1016/j.medengphy.2022.103919es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1016/j.medengphy.2022.103919
dc.type.versionpublishedVersiones_ES


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Attribution 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution 4.0 International