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DOI 10.1016/j.cnp.2016.12.006

Медицинская библиотека · Clinical neurophysiology practice · 2017

Multi-channel motor evoked potential monitoring during anterior cervical discectomy and fusion.

Kim Dong-Gun, Jo Seong-Rae, Park Young-Seop, Hyun Seung-Jae, Kim Ki-Jeong, Jahng Tae-Ahn, Kim Hyun-Jib, Park Kyung Seok

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Аннотация

OBJECTIVES

Anterior cervical discectomy and fusion (ACDF) surgery is the most common surgical procedure for the cervical spine with low complication rate. Despite the potential prognostic benefit, intraoperative neurophysiological monitoring (IONM), a method for detecting impending neurological compromise, is not routinely used in ACDF surgery. The present study aimed to identify the potential benefits of monitoring multi-channel motor evoked potentials (MEPs) during ACDF surgery.

METHODS

We retrospectively reviewed 200 consecutive patients who received IONM with multi-channel MEPs and somatosensory evoked potentials (SSEPs). On average, 9.2 muscles per patient were evaluated under MEP monitoring.

RESULTS

The rate of MEP change during surgery in the multi-level ACDF group was significantly higher than the single-level group. Two patients from the single-level ACDF group (1.7%) and four patients from the multi-level ACDF group (4.9%) experienced post-operative motor deficits. Multi-channel MEPs monitoring during single and multi-level ACDF surgery demonstrated higher sensitivity, specificity, positive predictive and negative predictive value than SSEP monitoring.

CONCLUSIONS

Multi-channel MEP monitoring might be beneficial for the detection of segmental injury as well as long tract injury during single- and multi-level ACDF surgery.

SIGNIFICANCE: This is first large scale study to identify the usefulness of multi-channel MEPs in monitoring ACDF surgery.

Для цитирования: Kim Dong-Gun, Jo Seong-Rae, Park Young-Seop, Hyun Seung-Jae, Kim Ki-Jeong, Jahng Tae-Ahn, Kim Hyun-Jib, Park Kyung Seok. Multi-channel motor evoked potential monitoring during anterior cervical discectomy and fusion.. Clinical neurophysiology practice. 2017. DOI: 10.1016/j.cnp.2016.12.006.
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