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Disease duration and disability in dysfeRlinopathy can be described by muscle imaging using heatmaps and random forests.
Gómez-Andrés, David; Díaz, Jorge; Munell, Francina; Sánchez-Montáñez, Ángel; Pulido-Valdeolivas, Irene; Suazo, Lionel; Garrido, Cristián; Quijano-Roy, Susana; Bevilacqua, Jorge A.
Affiliation
  • Gómez-Andrés D; Paediatric Neurology, Vall d'Hebron University Hospital and VHIR (Euro-NMD, ERN-RND), Barcelona, Spain.
  • Díaz J; Medical Imaging Center, University of Chile Clinical Hospital, Santiago, Chile.
  • Munell F; Paediatric Neurology, Vall d'Hebron University Hospital and VHIR (Euro-NMD, ERN-RND), Barcelona, Spain.
  • Sánchez-Montáñez Á; Paediatric Neuroradiology, Vall d'Hebron University Hospital (Euro-NMD, ERN-RND), Barcelona, Spain.
  • Pulido-Valdeolivas I; Visual Pathway Laboratory, Neuroimmunology Center and Neurology Department, Biomedical Research Center August Pi i Sunyer (IDIBAPS), Hospital Clínic Barcelona, Spain.
  • Suazo L; Medical Imaging Center, University of Chile Clinical Hospital, Santiago, Chile.
  • Garrido C; Medical Imaging Center, University of Chile Clinical Hospital, Santiago, Chile.
  • Quijano-Roy S; APHP-Neurology and Intensive Care Department. University Hospital Raymond Poincaré, Garches, U1179 Versailles University, Neuromuscular Disorders Reference Center of Nord-Est-Île de France, ERN Neuro-NMD, France.
  • Bevilacqua JA; Neuromuscular Unit, Department of Neurology and Neurosurgery, University of Chile Clinical Hospital.
Muscle Nerve ; 59(4): 436-444, 2019 04.
Article in 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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Muscle, Skeletal / Muscular Dystrophies, Limb-Girdle / Disability Evaluation Type of study: Clinical_trials / Prognostic_studies Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: Muscle Nerve Year: 2019 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Muscle, Skeletal / Muscular Dystrophies, Limb-Girdle / Disability Evaluation Type of study: Clinical_trials / Prognostic_studies Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: Muscle Nerve Year: 2019 Document type: Article Affiliation country: