Disease duration and disability in dysfeRlinopathy can be described by muscle imaging using heatmaps and random forests.
Adipose Tissue
/ pathology
Adult
Disability Evaluation
Female
Fibrosis
/ diagnostic imaging
Humans
Machine Learning
Magnetic Resonance Imaging
Male
Middle Aged
Muscle, Skeletal
/ diagnostic imaging
Muscular Dystrophies, Limb-Girdle
/ diagnostic imaging
Predictive Value of Tests
Rotator Cuff
/ diagnostic imaging
Young Adult
disability
dysferlin
heatmap
machine learning
muscle imaging
random forest
Journal
Muscle & nerve
ISSN: 1097-4598
Titre abrégé: Muscle Nerve
Pays: United States
ID NLM: 7803146
Informations de publication
Date de publication:
04 2019
04 2019
Historique:
received:
25
06
2018
revised:
25
11
2018
accepted:
16
12
2018
pubmed:
24
12
2018
medline:
6
7
2019
entrez:
23
12
2018
Statut:
ppublish
Résumé
The manner in which imaging patterns change over the disease course and with increasing disability in dysferlinopathy is not fully understood. 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. 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. 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.
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
436-444Subventions
Organisme : FONDECYT
ID : FONDECYT 1151383
Pays : International
Informations de copyright
© 2018 Wiley Periodicals, Inc.