Patterns and parameters describing nerve thickening in compression and entrapment ulnar neuropathies at the elbow.


Journal

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
ISSN: 1872-8952
Titre abrégé: Clin Neurophysiol
Pays: Netherlands
ID NLM: 100883319

Informations de publication

Date de publication:
02 2021
Historique:
received: 10 08 2020
revised: 16 10 2020
accepted: 19 10 2020
pubmed: 16 1 2021
medline: 28 7 2021
entrez: 15 1 2021
Statut: ppublish

Résumé

To compare pattern and parameters describing nerve thickening in ulnar neuropathy at the elbow (UNE) due to external compression in the retrocondylar groove (RTC), and entrapment under the humeroulnar aponeurosis (HUA). In a group of our previously reported UNE patients we ultrasonographically (US) measured ulnar nerve cross-sectional areas (CSA) on 6-8 standard locations in the elbow segment. We compared CSA patterns in both groups, and determined diagnostic utility of selected CSA based parameters. We studied 79 patients (81 arms) with UNE due to external compression, and 53 patients (55 arms) due to entrapment. Maximal ulnar nerve CSA (>16 mm Maximal difference in CSA between points separated by 1-2 cm (>7 mm The proposed parameter will hopefully complement precise localization in determining underlying mechanism of UNE. This may help physicians to determine the most appropriate treatment for UNE and possibly other focal neuropathies of unknown cause; i.e., conservative treatment for external compression and surgery for entrapment.

Identifiants

pubmed: 33450574
pii: S1388-2457(20)30565-4
doi: 10.1016/j.clinph.2020.10.025
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

530-535

Informations de copyright

Copyright © 2020 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The author declares that he has no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Simon Podnar (S)

Institute of Clinical Neurophysiology, Division of Neurology, University Medical Centre Ljubljana, Slovenia. Electronic address: simon.podnar@kclj.si.

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Classifications MeSH