CC BY-NC-ND 4.0 · Laryngorhinootologie 2018; 97(S 02): S38
DOI: 10.1055/s-0038-1639846
Abstracts
Bildgebende Verfahren/Ultraschall: Imaging/Sonography

Sonography of the extratemporal facial nerve

GF Volk
1   HNO-Klinik des Universitätsklinikums Jena, Jena
,
H Wegscheider
2   Anatomie, Medizinische Universität Innsbruck, Innsbruck, Österreich
,
O Guntinas-Lichius
1   HNO-Klinik des Universitätsklinikums Jena, Jena
,
B Moriggl
2   Anatomie, Medizinische Universität Innsbruck, Innsbruck, Österreich
› Institutsangaben
MED-EL, Innsbruck
 

Introduction:

The technical advances in sonography enable the visualization of peripheral nerves. The possibility of visualizing the facial nerve (FN) has been considered, but not jet proven scientifically. This study describes the first systematic evaluation of the whole extratemporal facial nerve.

Methods:

8 cadaveric hemifaces were evaluated by means of high frequency ultrasound with two linear (13 MHz and 22 MHz) and a convex transducer (6.6 MHz), in order to detect the extratemporal course of the FN starting from its exit at the stylomastoid foramen: the main trunk, the parotid plexus between the 2 parts of the parotid gland, the distal branches terminating into the orbicularis oculi and the zygomatic major muscle. Ultrasound-guided color injections and FN dissection were performed to confirm the results.

Results:

The main trunk of the FN, as it exits the stylomastoid foramen, was correctly stained in 6/8 cases, the parotid plexus in 8/8 cases. The branches innervating the orbicularis oculi muscle were stained in 7/7 and the branches innervating the zygomatic major muscle in 6/7 hemifaces, after 1 was withdrawn due to insufficient image quality.

Conclusions:

Through our novel approach of high-resolution ultrasonography we could identify the various portions of the extratemporal FN, including its main trunk leaving the stylomastoid foramen, in an accurate and reproducible way.



Publikationsverlauf

Publikationsdatum:
18. April 2018 (online)

© 2018. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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