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pmid: 27380045
Intraoperative neurophysiologic monitoring (IONM) has been rapidly adopted as a standard monitoring technique for a growing number of surgical procedures. This article offers a basic review of IONM and discusses some of its latest applications and anesthetic techniques that optimize monitoring conditions.IONM has been demonstrated to alert the surgical team to potential injury and can also be used to detect impending positioning injuries. Upper extremity somatosensory evoked potential monitoring is particularly helpful in preventing ulnar neuropathy that is more common in patients who are positioned prone and with severe arm abduction. Somatosensory evoked potential monitoring has a high specificity for vascular compromise and neurologic ischemia that may occur during neurovascular procedures. Electroencephalography is also helpful in alerting the surgical and anesthesia teams to an impending ischemic event. Although a total intravenous anesthesia technique offers better monitoring conditions, propofol may prolong emergence.IONM is commonly used in a growing number and variety of surgical procedures, and has been shown to improve outcomes. IONM poses challenges for the anesthesiologist, but tailoring the anesthetic to be compatible with the monitoring techniques in use can help to prevent surgical complications.
Intraoperative Neurophysiological Monitoring, Electromyography, Electroencephalography, Evoked Potentials, Motor, Neurosurgical Procedures, Patient Positioning, Brain Ischemia, Upper Extremity, Evoked Potentials, Somatosensory, Humans, Anesthesia, Anesthetics
Intraoperative Neurophysiological Monitoring, Electromyography, Electroencephalography, Evoked Potentials, Motor, Neurosurgical Procedures, Patient Positioning, Brain Ischemia, Upper Extremity, Evoked Potentials, Somatosensory, Humans, Anesthesia, Anesthetics
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 22 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |