Ultrasound Scanning Protocol in the Assessment of Ulnar Neuropathy at the Elbow.


Journal

Journal of visualized experiments : JoVE
ISSN: 1940-087X
Titre abrégé: J Vis Exp
Pays: United States
ID NLM: 101313252

Informations de publication

Date de publication:
04 08 2023
Historique:
medline: 21 8 2023
pubmed: 17 8 2023
entrez: 17 8 2023
Statut: epublish

Résumé

Ulnar neuropathy at the elbow is commonly encountered in clinical practice and is the second most common entrapment neuropathy. Left untreated, ulnar neuropathy at the elbow can result in significant disability due to loss of dexterity and grip strength secondary to the weakness of intrinsic hand muscles. Precisely localizing a lesion in ulnar neuropathy can be challenging with electrodiagnostic testing alone. Ultrasound is a relatively quick and useful adjunctive diagnostic modality in overcoming this limitation, as an increase in the cross-sectional area (CSA) of the nerve is a common and validated finding in ulnar neuropathies at the elbow. Sonographic assessment of the nerve's echotexture and vascularity can provide additional diagnostic clues. Ultrasound also offers the unique benefit of detecting ulnar nerve subluxation or dislocation out of the retroepicondylar groove during dynamic assessment, although the clinical significance of this is controversial. Finally, ultrasound can also identify structural abnormalities leading to nerve compressions, such as the presence of bony abnormalities, scar tissue, and space-occupying lesions. These findings may influence management strategies and surgical planning. This protocol aims to illustrate the technique of static and dynamic sonographic imaging of the ulnar nerve around the elbow as a complement to electrodiagnostic testing in the assessment of ulnar neuropathy at the elbow.

Identifiants

pubmed: 37590523
doi: 10.3791/65468
doi:

Types de publication

Journal Article Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Sarah Smith (S)

Department of Neurology, Atrium Health Wake Forest Baptist; smithsmkz@gmail.com.

Rachana K Gandhi Mehta (RK)

Department of Neurology, Atrium Health Wake Forest Baptist.

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Classifications MeSH