Post-Operative Assessment of Ulnar Nerve Tension Using Shear-Wave Elastography.

elastography nerve compression nerve transposition ulnar nerve

Journal

Neurology international
ISSN: 2035-8385
Titre abrégé: Neurol Int
Pays: Switzerland
ID NLM: 101551564

Informations de publication

Date de publication:
14 Sep 2021
Historique:
received: 02 06 2021
revised: 21 07 2021
accepted: 22 07 2021
entrez: 26 9 2021
pubmed: 27 9 2021
medline: 27 9 2021
Statut: epublish

Résumé

Ulnar nerve compression at the elbow level is the second-most common entrapment neuropathy. The aim of this study was to use shear-wave elastography for the quantification of ulnar nerve elasticity in patients after ulnar nerve decompression with anterior transposition and in the contralateral non-operative side. Eleven patients with confirmed diagnosis and ulnar nerve decompression with anterior transposition were included and examinations were performed on an Aixplorer We observed significant differences at 0-degree ( Shear-wave elastography has the potential to be used postoperatively as a method for assessing nerve tension noninvasively by the estimation of mechanical properties, such as the shear elastic modulus.

Sections du résumé

BACKGROUND BACKGROUND
Ulnar nerve compression at the elbow level is the second-most common entrapment neuropathy. The aim of this study was to use shear-wave elastography for the quantification of ulnar nerve elasticity in patients after ulnar nerve decompression with anterior transposition and in the contralateral non-operative side.
METHOD METHODS
Eleven patients with confirmed diagnosis and ulnar nerve decompression with anterior transposition were included and examinations were performed on an Aixplorer
RESULTS RESULTS
We observed significant differences at 0-degree (
CONCLUSION CONCLUSIONS
Shear-wave elastography has the potential to be used postoperatively as a method for assessing nerve tension noninvasively by the estimation of mechanical properties, such as the shear elastic modulus.

Identifiants

pubmed: 34564291
pii: neurolint13030046
doi: 10.3390/neurolint13030046
pmc: PMC8482121
doi:

Types de publication

Journal Article

Langues

eng

Pagination

469-476

Références

J Plast Reconstr Aesthet Surg. 2018 Nov;71(11):1593-1599
pubmed: 30245016
Eur Radiol. 2018 Dec;28(12):4932-4939
pubmed: 29858636
J Am Acad Orthop Surg. 2017 Oct;25(10):e215-e224
pubmed: 28953087
Arch Phys Med Rehabil. 2019 Jun;100(6):1114-1130
pubmed: 30055161
Ann Plast Surg. 2004 Oct;53(4):382-7
pubmed: 15385776
Arch Phys Med Rehabil. 2008 May;89(5):887-9
pubmed: 18452736
J Bone Joint Surg Br. 1950 Aug;32-B(3):293-301
pubmed: 14778847
J Hand Surg Br. 2000 Oct;25(5):457-60
pubmed: 10991812
Cochrane Database Syst Rev. 2016 Nov 15;11:CD006839
pubmed: 27845501
Ann Rehabil Med. 2015 Apr;39(2):170-5
pubmed: 25932412
Med Devices (Auckl). 2019 Feb 22;12:81-88
pubmed: 30863191
J Ultrasound. 2019 Sep;22(3):337-344
pubmed: 30864003
J Hand Surg Am. 2018 Jun;43(6):529-536
pubmed: 29622409
Muscle Nerve. 2020 May;61(5):616-622
pubmed: 32086830
J Hand Surg Am. 1993 May;18(3):417-25
pubmed: 8515008
J Hand Surg Am. 2006 Sep;31(7):1088-93
pubmed: 16945708
Curr Rev Musculoskelet Med. 2020 Aug;13(4):520-524
pubmed: 32474897
Plast Reconstr Surg. 1975 Aug;56(2):166-70
pubmed: 1096197
J Hand Surg Am. 2001 Jul;26(4):655-62
pubmed: 11466640
Medicine (Baltimore). 2021 Jan 15;100(2):e24071
pubmed: 33466166
Acta Neurochir Suppl. 2017;124:277-281
pubmed: 28120084
Muscle Nerve. 2019 Nov;60(5):501-512
pubmed: 31269240
Ultrasonography. 2021 Jul;40(3):349-356
pubmed: 33115185

Auteurs

Sebastien Durand (S)

Department of Hand Surgery, Lausanne University Hospital, Rue du Bugnon 46, CH-1011 Lausanne, Switzerland.

Wassim Raffoul (W)

Department of Hand Surgery, Lausanne University Hospital, Rue du Bugnon 46, CH-1011 Lausanne, Switzerland.

Thierry Christen (T)

Department of Hand Surgery, Lausanne University Hospital, Rue du Bugnon 46, CH-1011 Lausanne, Switzerland.

Nadine Pedrazzi (N)

Department of Hand Surgery, Lausanne University Hospital, Rue du Bugnon 46, CH-1011 Lausanne, Switzerland.

Classifications MeSH