Volumetric MRI is a promising outcome measure of muscle reinnervation.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
17 11 2021
Historique:
received: 08 02 2021
accepted: 18 10 2021
entrez: 18 11 2021
pubmed: 19 11 2021
medline: 29 1 2022
Statut: epublish

Résumé

The development of outcome measures that can track the recovery of reinnervated muscle would benefit the clinical investigation of new therapies which hope to enhance peripheral nerve repair. The primary objective of this study was to assess the validity of volumetric Magnetic Resonance Imaging (MRI) as an outcome measure of muscle reinnervation by testing its reproducibility, responsiveness and relationship with clinical indices of muscular function. Over a 3-year period 25 patients who underwent nerve transfer to reinnervate elbow flexor muscles were assessed using intramuscular electromyography (EMG) and MRI (median post-operative assessment time of 258 days, ranging from 86 days pre-operatively to 1698 days post- operatively). Muscle power (Medical Research Council (MRC) grade) and Stanmore Percentage of Normal Elbow Assessment (SPONEA) assessment was also recorded for all patients. Sub-analysis of peak volitional force (PVF), muscular fatigue and co-contraction was performed in those patients with MRC > 3. The responsiveness of each parameter was compared using Pearson or Spearman correlation. A Hierarchical Gaussian Process (HGP) was implemented to determine the ability of volumetric MRI measurements to predict the recovery of muscular function. Reinnervated muscle volume per unit Body Mass Index (BMI) demonstrated good responsiveness (R

Identifiants

pubmed: 34789795
doi: 10.1038/s41598-021-01342-y
pii: 10.1038/s41598-021-01342-y
pmc: PMC8599480
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

22433

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2021. The Author(s).

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Auteurs

Matthew Wilcox (M)

Peripheral Nerve Injury Research Unit, Royal National Orthopaedic Hospital, Stanmore, UK. matthew.wilcox.13@ucl.ac.uk.
UCL Centre for Nerve Engineering, University College London, London, UK. matthew.wilcox.13@ucl.ac.uk.
Department of Pharmacology, UCL School of Pharmacy, University College London, London, UK. matthew.wilcox.13@ucl.ac.uk.
University College London Medical School, London, UK. matthew.wilcox.13@ucl.ac.uk.

Liane Dos Santos Canas (L)

Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Rikin Hargunani (R)

Department of Radiology, Royal National Orthopaedic Hospital, Stanmore, UK.

Tom Tidswell (T)

Department of Clinical Neurophysiology, Royal Free Hospital, London, UK.

Hazel Brown (H)

Peripheral Nerve Injury Research Unit, Royal National Orthopaedic Hospital, Stanmore, UK.
UCL Centre for Nerve Engineering, University College London, London, UK.

Marc Modat (M)

Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

James B Phillips (JB)

UCL Centre for Nerve Engineering, University College London, London, UK.
Department of Pharmacology, UCL School of Pharmacy, University College London, London, UK.

Sebastien Ourselin (S)

Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Tom Quick (T)

Peripheral Nerve Injury Research Unit, Royal National Orthopaedic Hospital, Stanmore, UK.
UCL Centre for Nerve Engineering, University College London, London, UK.

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Classifications MeSH