Intraoperative neurophysiological monitoring

Intraoperative neurophysiological monitoring (IONM) or intraoperative neuromonitoring is the use of electrophysiological methods such as electroencephalography (EEG), electromyography (EMG), and evoked potentials to monitor the functional integrity of certain neural structures (e.g., nerves, spinal cord and parts of the brain) during surgery. The purpose of IONM is to reduce the risk to the patient of iatrogenic damage to the nervous system, and/or to provide functional guidance to the surgeon and anesthesiologist.

Methods

Neuromonitoring employs various electrophysiologic modalities, such as extracellular single unit and local field recordings, SSEP, transcranial electrical motor evoked potentials (TCeMEP), EEG, EMG, and auditory brainstem response (ABR). For a given surgery, the set of modalities used depends in part on which neural structures are at risk. Transcranial Doppler imaging (TCDI) is also becoming more widely used to detect vascular emboli. TCDI can be used in tandem with EEG during vascular surgery. IONM techniques have significantly reduced the rates of morbidity and mortality without introducing additional risks. By doing so, IONM techniques reduce health care costs.

To accomplish these objectives, a member of the surgical team with special training in neurophysiology obtains and co-interprets triggered and spontaneous electrophysiologic signals from the patient periodically or continuously throughout the course of the operation. Patients who benefit from neuromonitoring are those undergoing operations involving the nervous system or which pose risk to its anatomic or physiologic integrity. In general, a trained neurophysiologist attaches a computer system to the patient using stimulating and recording electrodes. Interactive software running on the system carries out two tasks:

  1. selective activation of stimulating electrodes with appropriate timing, and
  2. processing and displaying of the electrophysiologic signals as they are picked up by the recording electrodes.

The neurophysiologist can thus observe and document the electrophysiologic signals in realtime in the operating area during the surgery. The signals change according to various factors, including anesthesia, tissue temperature, surgical stage, and tissue stresses. Various factors exert their influence on the signals with various tissue-dependent timecourses. Differentiating the signal changes along these lines  with particular attention paid to stresses  is the joint task of the surgical triad: surgeon, anesthesiologist, and neurophysiologist.

Surgical procedures

Patients benefit from neuromonitoring during certain surgical procedures, namely any surgery where there is risk to the nervous system. Most neuromonitoring is utilized by spine surgeons, but neurosurgeons, vascular, orthopedic, otolaryngologists, and urology surgeons have all utilized neuromonitoring as well.

The most common applications are in spinal surgery; selected brain surgeries; carotid endarterectomy; ENT procedures such as acoustic neuroma (vestibular schwanoma) resection, parotidectomy; and nerve surgery. Motor evoked potentials have also been used in surgery for Thoracic aortic aneurysm. Intraoperative monitoring is used to :

  • to localize neural structures, for example to locate cranial nerves during skull base surgery;
  • to test function of these structures; and
  • for early detection of intraoperative neural injury, allowing for immediate corrective measures.

For example, during any surgery on the thoracic or cervical spinal column, there is some risk to the spinal cord. Since the 1970s, SSEP (somatosensory evoked potentials) have been used to monitor spinal cord function by stimulating a nerve distal to the surgery, and recording from the cerebral cortex or other locations rostral to the surgery. A baseline is obtained, and if there are no significant changes, the assumption is that the spinal cord has not been injured. If there is a significant change, corrective measures can be taken; for example, the hardware can be removed. More recently, transcranial electric motor evoked potentials (TCeMEP) have also been used for spinal cord monitoring. This is the reverse of SSEP; the motor cortex is stimulated transcranially, and recordings made from muscles in the limbs, or from spinal cord caudal to the surgery. This allows direct monitoring of motor tracts in the spinal cord. EEG electroencephalography is used for monitoring of cerebral function in neurovascular cases (cerebral aneurysms, carotid endarterectomy) and for defining tumor margins in epilepsy surgery and some cerebral tumors.

EEG measures taken during anesthesia exhibit stereotypic changes as anesthetic depth increases. These changes include complex patterns of waves with frequency slowing accompanied by amplitude increases which typically peak when loss of consciousness occurs (loss of responses to verbal commands; loss of righting reflex). As anesthetic depth increases from light surgical levels to deep anesthesia, the EEG exhibits disrupted rhythmic waveforms, high amplitude burst suppression activity, and finally, very low amplitude isoelectric or 'flat line' activity. Various signal analysis approaches have been used to quantify these pattern changes and can provide an indication of loss of recall, loss of consciousness and anesthetic depth. Monitors have been developed using various algorithms for signal analysis and are commercially available, but none have as yet proven 100% accurate. This is a difficult problem and an active area of medical research.

EMG is used for cranial nerve monitoring in skull base cases and for nerve root monitoring and testing in spinal surgery. ABR (a.k.a. BSEP, BSER, BAEP, etc.) is used for monitoring of the acoustic nerve during acoustic neuroma and brainstem tumor resections.

Licensure, certification, credentialing, and evidence

In the US, IONM licensure has not been legislated at the state or federal level. Issues of licensure are discussed in ASET's 68-page white paper on occupational regulation.[1] Worldwide, there are at least two private certifications available: CNIM (Certified in Neurophysiological Intraoperative Monitoring) and D.ABNM (Diplomate of the American Board of Neurophysiological Monitoring). Though not governmentally regulated, certain health care facilities have internal regulations pertaining to neuromonitoring certifications (see below). The CNIM is a more widely known credential throughout the United States. The Certification for Neurophysiological Intraoperative Monitoring (CNIM) is awarded by the American Board of Electroencephalographic and Evoked Potential Technologists. As of 2010, minimum requirements include 1) a B.A., B.S. [Path 2] 2) R.EP.T or R.EEG.T Credential [Path 1] 3) A minimum of 150 surgeries. Path 1 is a 200 question exam costing $600. Path 2 is a 250-question exam. A 4-hour multiple-choice computer-based exam is offered twice a year. Currently, there are a little over 3500 board certified clinicians.

Audiologists may received board certification in neurophysiological intraoperative monitoring via AABIOM. The exam has 200 multiple choice questions covering 6 areas: Anesthesia, Neuroscience, Instrumentation, Electro-physiology, Human physiology / anatomy, Surgical Applications.[2]

There are several organisations that certify MDs in the field including the American Clinical Neurophysiology Society (www.acns.org) and the American Board of Electrodiagnostic Medicine. The optimal practice model is under discussion at the present time (2013) as is the relevant qualifications for supervision.

Outside the US there many different styles of IOM.

The evidence-based support for IOM is growing. There is a debate over whether IOM required controlled studies such as randomized trials,[3] or whether expert consensus suffices.[4]

gollark: Anyway, does your simulator have the bound check bug?
gollark: The neural networks?
gollark: Maybe pypy would help.
gollark: What do you mean "too good"?
gollark: ????

References

  1. ASET's White Paper on Occupation Regulation
  2. AABIOM FAQ |Retrieved 24 January 2017.
  3. Howick J, Cohen BA, McCulloch P, Thompson M, Skinner SA (Jul 2015). "Foundations for evidence-based intraoperative neurophysiological monitoring". Clin Neurophysiol. 127 (1): 81–90. doi:10.1016/j.clinph.2015.05.033. PMID 26268581.
  4. Nuwer MR (2015). "Measuring outcomes for neurophysiological intraoperative monitoring". Clin Neurophys. 127 (1): 3–4. doi:10.1016/j.clinph.2015.07.005. PMID 26205418.
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