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Authordc.contributor.authorGómez-Andrés, David 
Authordc.contributor.authorDíaz, Jorge 
Authordc.contributor.authorMunell, Francina 
Authordc.contributor.authorSánchez-Montáñez, Ángel 
Authordc.contributor.authorPulido-Valdeolivas, Irene 
Authordc.contributor.authorSuazo, Lionel 
Authordc.contributor.authorGarrido, Cristián 
Authordc.contributor.authorQuijano-Roy, Susana 
Authordc.contributor.authorBevilacqua, Jorge A. 
Admission datedc.date.accessioned2019-10-11T17:32:52Z
Available datedc.date.available2019-10-11T17:32:52Z
Publication datedc.date.issued2019
Cita de ítemdc.identifier.citationMuscle and Nerve, Volumen 59, Issue 4, 2019, Pages 436-444
Identifierdc.identifier.issn10974598
Identifierdc.identifier.issn0148639X
Identifierdc.identifier.other10.1002/mus.26403
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/171458
Abstractdc.description.abstract© 2018 Wiley Periodicals, Inc.Introduction: The manner in which imaging patterns change over the disease course and with increasing disability in dysferlinopathy is not fully understood. Methods: Fibroadipose infiltration of 61 muscles was scored based on whole-body MRI of 33 patients with dysferlinopathy and represented in a heatmap. We trained random forests to predict disease duration, Motor Function Measure dimension 1 (MFM-D1), and modified Rankin scale (MRS) score based on muscle scoring and selected the most important muscle for predictions. Results: The heatmap delineated positive and negative fingerprints in dysferlinopathy. Disease duration was related to infiltration of infraspinatus, teres major–minor, and supraspinatus muscles. MFM-D1 decreased with higher infiltration of teres major–minor, triceps, and sartorius. MRS related to infiltration of vastus medialis, gracilis, infraspinatus, and sartorius. Discussion: Dysferlinopathy shows a recognizable muscle MRI pattern. Fibr
Lenguagedc.language.isoen
Publisherdc.publisherJohn Wiley and Sons Inc.
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
Sourcedc.sourceMuscle and Nerve
Keywordsdc.subjectdisability
Keywordsdc.subjectdysferlin
Keywordsdc.subjectheatmap
Keywordsdc.subjectmachine learning
Keywordsdc.subjectmuscle imaging
Keywordsdc.subjectrandom forest
Títulodc.titleDisease duration and disability in dysfeRlinopathy can be described by muscle imaging using heatmaps and random forests
Document typedc.typeArtículo de revista
Catalogueruchile.catalogadorSCOPUS
Indexationuchile.indexArtículo de publicación SCOPUS
uchile.cosechauchile.cosechaSI


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile