1. Predictive value of facial motor-evoked potential and electromyography for facial motor function in vestibular schwannoma surgery.
- Author
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Machetanz K, Roegele M, Liebsch M, Oberle L, Weinbrenner E, Gorbachuk M, Wang SS, Tatagiba M, and Naros G
- Subjects
- Humans, Evoked Potentials, Motor physiology, Electromyography, Retrospective Studies, Monitoring, Intraoperative methods, Facial Nerve physiology, Postoperative Complications surgery, Neuroma, Acoustic surgery, Facial Paralysis diagnosis, Facial Paralysis etiology, Facial Paralysis prevention & control
- Abstract
Purpose: Intraoperative neuromonitoring (IONM) aims to preserve facial nerve (FN) function during vestibular schwannoma (VS) surgery. However, current techniques such as facial nerve motor evoked potentials (FNMEP) or electromyography (fEMG) alone are limited in predicting postoperative facial palsy (FP). The objective of this study was to analyze a compound fEMG/FNMEP approach., Methods: Intraoperative FNMEP amplitude and the occurrence of fEMG-based A-trains were prospectively determined for the orbicularis oris (ORI) and oculi (OCU) muscle in 322 VS patients. Sensitivity and specificity of techniques to predict postoperative FN function were calculated. Confounding factors as tumor size, volume of intracranial air, or IONM duration were analyzed., Results: A relevant immediate postoperative FP was captured in 105/322 patients with a significant higher risk in large VS. While fEMG demonstrated a high sensitivity (77% and 86% immediately and 15 month postoperative, respectively) for identifying relevant FP, specificity was low. In contrast, FNMEP have a significantly higher specificity of 80.8% for predicting postoperative FP, whereas the sensitivity is low. A retrospective combination of techniques demonstrated still an incorrect prediction of FP in ~ 1/3 of patients., Conclusions: FNMEP and fEMG differ in sensitivity and specificity to predict postoperative FP. Although a combination of IONM techniques during VS surgery may improve prediction of FN function, current techniques are still inaccurate. Further development is necessary to improve IONM approaches for FP prediction., (© 2024. The Author(s).)
- Published
- 2024
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