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Author | dc.contributor.author | Gómez-Andrés, David | |
Author | dc.contributor.author | Díaz, Jorge | |
Author | dc.contributor.author | Munell, Francina | |
Author | dc.contributor.author | Sánchez-Montáñez, Ángel | |
Author | dc.contributor.author | Pulido-Valdeolivas, Irene | |
Author | dc.contributor.author | Suazo, Lionel | |
Author | dc.contributor.author | Garrido, Cristián | |
Author | dc.contributor.author | Quijano-Roy, Susana | |
Author | dc.contributor.author | Bevilacqua, Jorge A. | |
Admission date | dc.date.accessioned | 2019-10-11T17:32:52Z | |
Available date | dc.date.available | 2019-10-11T17:32:52Z | |
Publication date | dc.date.issued | 2019 | |
Cita de ítem | dc.identifier.citation | Muscle and Nerve, Volumen 59, Issue 4, 2019, Pages 436-444 | |
Identifier | dc.identifier.issn | 10974598 | |
Identifier | dc.identifier.issn | 0148639X | |
Identifier | dc.identifier.other | 10.1002/mus.26403 | |
Identifier | dc.identifier.uri | https://repositorio.uchile.cl/handle/2250/171458 | |
Abstract | dc.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 | |
Lenguage | dc.language.iso | en | |
Publisher | dc.publisher | John Wiley and Sons Inc. | |
Type of license | dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Chile | |
Link to License | dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | |
Source | dc.source | Muscle and Nerve | |
Keywords | dc.subject | disability | |
Keywords | dc.subject | dysferlin | |
Keywords | dc.subject | heatmap | |
Keywords | dc.subject | machine learning | |
Keywords | dc.subject | muscle imaging | |
Keywords | dc.subject | random forest | |
Título | dc.title | Disease duration and disability in dysfeRlinopathy can be described by muscle imaging using heatmaps and random forests | |
Document type | dc.type | Artículo de revista | |
Cataloguer | uchile.catalogador | SCOPUS | |
Indexation | uchile.index | Artículo de publicación SCOPUS | |
uchile.cosecha | uchile.cosecha | SI | |
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