Disease duration and disability in dysfeRlinopathy can be described by muscle imaging using heatmaps and random forests.
Muscle Nerve
; 59(4): 436-444, 2019 04.
Article
en En
| MEDLINE
| ID: mdl-30578674
ABSTRACT
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. Fibroadipose infiltration in specific muscles of the thigh and the upper limb appears to be an important marker for disease progression. Muscle Nerve 59436-444, 2019.Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Músculo Esquelético
/
Distrofia Muscular de Cinturas
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Evaluación de la Discapacidad
Tipo de estudio:
Clinical_trials
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Prognostic_studies
Límite:
Adult
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Muscle Nerve
Año:
2019
Tipo del documento:
Article
País de afiliación:
España