dc.date.accessioned2021-08-23T22:56:37Z
dc.date.accessioned2022-10-19T00:26:54Z
dc.date.available2021-08-23T22:56:37Z
dc.date.available2022-10-19T00:26:54Z
dc.date.created2021-08-23T22:56:37Z
dc.date.issued2019
dc.identifierhttp://hdl.handle.net/10533/251891
dc.identifier1151383
dc.identifierWOS:000461232700013
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4483154
dc.description.abstractIntroduction: 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. Fibroadipose infiltration in specific muscles of the thigh and the upper limb appears to be an important marker for disease progression. Muscle Nerve 59:436-444, 2019
dc.languageeng
dc.relationhttps://doi.org/10.1002/mus.26403
dc.relationhandle/10533/111557
dc.relation10.1002/mus.26403
dc.relationhandle/10533/111541
dc.relationhandle/10533/108045
dc.rightsinfo:eu-repo/semantics/article
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.titleDisease duration and disability in dysfeRlinopathy can be described by muscle imaging using heatmaps and random forests
dc.typeArticulo


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