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DOI 10.1016/j.clinph.2020.10.025

Медицинская библиотека · Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2020

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

Podnar Simon

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

OBJECTIVE

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).

METHODS

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.

RESULTS

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 mm2), maximal CSA change (>7 mm2/1-2 cm) and maximal/minimal CSA ratio (>2.6) were significantly larger in UNE due to entrapment. They also differentiated these arms from arms with compression with sensitivities of 78%, 87% and 80%, and specificities of 90%, 94%, and 85%, respectively.

CONCLUSION

Maximal difference in CSA between points separated by 1-2 cm (>7 mm2/1-2 cm) very efficiently differentiated between UNE due to external compression and entrapment.

SIGNIFICANCE: 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.

Для цитирования: Podnar Simon. Patterns and parameters describing nerve thickening in compression and entrapment ulnar neuropathies at the elbow.. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology. 2020. DOI: 10.1016/j.clinph.2020.10.025.

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