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Erschienen in: Skeletal Radiology 7/2022

14.01.2022 | Scientific Article

Diagnosing ulnar neuropathy at the elbow on MRI: importance of the longitudinal extent of the hyperintense ulnar nerve

verfasst von: Sujin Kim, Bo Mi Chung, Wan Tae Kim, Guen Young Lee, Joonho Hur, Joo Hee Kim, Young Lee

Erschienen in: Skeletal Radiology | Ausgabe 7/2022

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Abstract

Objective

To evaluate the usefulness of the longitudinal extent (LE) of high ulnar nerve signal intensity (SI) for the diagnosis of ulnar neuropathy at the elbow (UNE).

Materials and methods

This retrospective study included 68 patients who underwent elbow MRI. Twenty-seven and 41 patients were enrolled in the UNE and control groups, respectively. Qualitative and quantitative analyses of the SI and size of the ulnar nerve at the cubital tunnel, proximal, and distal to the cubital tunnel were performed. Cross-sectional area (CSA) and nerve-to-muscle contrast ratio (NMCR) were measured at each level. The LE of the hyperintense ulnar nerve was evaluated using axial and coronal images. The presence of space-occupying lesions (SOLs), subluxation, and muscle denervation were recorded. Univariate and multivariate analyses were performed to identify independent predictive factors.

Results

Ulnar nerve hyperintensity at and distal to the cubital tunnel, presence of compression, SOL, muscle denervation, LE of hyperintense ulnar nerve, NMCR, and CSA at and distal to the cubital tunnel significantly differed between the two groups. Multivariate logistic regression analysis showed that the LE of the hyperintense ulnar nerve and CSA at the cubital tunnel were independent predictive factors for UNE (p < 0.05).

Conclusion

LE of the hyperintense ulnar nerve could be a useful predictive factor for UNE.
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Metadaten
Titel
Diagnosing ulnar neuropathy at the elbow on MRI: importance of the longitudinal extent of the hyperintense ulnar nerve
verfasst von
Sujin Kim
Bo Mi Chung
Wan Tae Kim
Guen Young Lee
Joonho Hur
Joo Hee Kim
Young Lee
Publikationsdatum
14.01.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
Skeletal Radiology / Ausgabe 7/2022
Print ISSN: 0364-2348
Elektronische ISSN: 1432-2161
DOI
https://doi.org/10.1007/s00256-022-03990-1

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