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
em 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.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Músculo Esquelético
/
Distrofia Muscular do Cíngulo dos Membros
/
Avaliação da Deficiência
Tipo de estudo:
Clinical_trials
/
Prognostic_studies
Limite:
Adult
/
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Revista:
Muscle Nerve
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
Espanha