title: Continuous electromyography monitoring of motor cranial nerves during cerebellopontine angle surgery.
abstract: OBJECTIVE
  Electromyography (EMG) monitoring is expected to reduce the incidence of motor cranial nerve deficits in cerebellopontine angle surgery. The aim of this study was to provide a detailed analysis of intraoperative EMG phenomena with respect to their surgical significance.
  
  
  METHODS
  Using a system that continuously records facial and lower cranial nerve EMG signals during the entire operative procedure, the authors examined 30 patients undergoing surgery on acoustic neuroma (24 patients) or meningioma (six patients). Free-running EMG signals were recorded from muscles targeted by the facial, trigeminal, and lower cranial nerves, and were analyzed off-line with respect to waveform characteristics, frequencies, and amplitudes. Intraoperative measurements were correlated with typical surgical maneuvers and postoperative outcomes. Characteristic EMG discharges were obtained: spikes and bursts were recorded immediately following the direct manipulation of a dissecting instrument near the cranial nerve, but also during periods when the nerve had not yet been exposed. Bursts could be precisely attributed to contact activity. Three distinct types of trains were identified: A, B, and C trains. Whereas B and C trains are irrelevant with respect to postoperative outcome, the A train--a sinusoidal, symmetrical sequence of high-frequency and low-amplitude signals--was observed in 19 patients and could be well correlated with additional postoperative facial nerve paresis (in 18 patients).
  
  
  CONCLUSIONS
  It could be demonstrated that the occurrence of A trains is a highly reliable predictor for postoperative facial palsy. Although some degree of functional worsening is to be expected postoperatively, there is a good chance of avoiding major deficits by warning the surgeon early. Continuous EMG monitoring is superior to electrical nerve stimulation or acoustic loudspeaker monitoring alone. The detailed analysis of EMG-waveform characteristics is able to provide more accurate warning criteria during surgery.
authors.affiliation: Department of Neurosurgery, University of Erlangen-Nuremberg, Germany. johann.romstoeck@neurochir.med.uni-erlangen.de
authors.forename: J
authors.initials: J
authors.lastname: Romstöck
authors.forename: C
authors.initials: C
authors.lastname: Strauss
authors.forename: R
authors.initials: R
authors.lastname: Fahlbusch
mesh_terms: D000328:Adult; D000368:Aged; D002526:Cerebellar Diseases / Q000601:surgery*; D002530:Cerebellopontine Angle / Q000601:surgery*; D003389:Cranial Nerve Diseases / Q000175:diagnosis / Q000209:etiology*; D003391:Cranial Nerves / Q000473:pathology / Q000502:physiology*; D004576:Electromyography; D005158:Facial Paralysis / Q000209:etiology / Q000473:pathology; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D016343:Monitoring, Intraoperative; D009046:Motor Neurons / Q000473:pathology / Q000502:physiology*; D011183:Postoperative Complications / Q000175:diagnosis / Q000517:prevention & control; D011237:Predictive Value of Tests; D011379:Prognosis