Volume 59, Issue 4 pp. 436-444
Clinical Research Article

Disease duration and disability in dysfeRlinopathy can be described by muscle imaging using heatmaps and random forests

David Gómez-Andrés MD, PhD

Corresponding Author

David Gómez-Andrés MD, PhD

Paediatric Neurology, Vall d'Hebron University Hospital and VHIR (Euro-NMD, ERN-RND), Barcelona, Spain

Correspondence to: D.Gómez-Andrés; e-mail: [email protected] and Jorge A. Bevilacqua e-mail: [email protected]Search for more papers by this author
Jorge Díaz MD

Jorge Díaz MD

Medical Imaging Center, University of Chile Clinical Hospital, Santiago, Chile

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Francina Munell MD, PhD

Francina Munell MD, PhD

Paediatric Neurology, Vall d'Hebron University Hospital and VHIR (Euro-NMD, ERN-RND), Barcelona, Spain

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Ángel Sánchez-Montáñez MD

Ángel Sánchez-Montáñez MD

Paediatric Neuroradiology, Vall d'Hebron University Hospital (Euro-NMD, ERN-RND), Barcelona, Spain

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Irene Pulido-Valdeolivas MD, PhD

Irene Pulido-Valdeolivas MD, PhD

Visual Pathway Laboratory, Neuroimmunology Center and Neurology Department, Biomedical Research Center August Pi i Sunyer (IDIBAPS), Hospital Clínic Barcelona, Spain

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Lionel Suazo MD

Lionel Suazo MD

Medical Imaging Center, University of Chile Clinical Hospital, Santiago, Chile

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Cristián Garrido MT

Cristián Garrido MT

Medical Imaging Center, University of Chile Clinical Hospital, Santiago, Chile

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Susana Quijano-Roy MD, PhD

Susana Quijano-Roy MD, PhD

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

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Jorge A. Bevilacqua MD, PhD

Corresponding Author

Jorge A. Bevilacqua MD, PhD

Neuromuscular Unit, Department of Neurology and Neurosurgery, University of Chile Clinical Hospital

Department of Anatomy and Legal Medicine, Faculty of Medicine, University of Chile, Santiago, Chile

Correspondence to: D.Gómez-Andrés; e-mail: [email protected] and Jorge A. Bevilacqua e-mail: [email protected]Search for more papers by this author
First published: 22 December 2018
Citations: 18
Funding: (National Fund for Scientific and Technological Development, FONDECYT# 1151383 to J.A.B. and J.D.) Cost Action BM1304 of W1 (participants: D.G.A., S.Q.R., F.M., A.S.M., and J.B.).
Conflicts of Interest: None of the authors have any conflicts of interest to disclose.

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 59:436–444, 2019

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