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Semi-quantitative electromyography as a predictor of nerve transfer outcome
•Neurophysiology has great potential for nerve transfer surgery planning.•A rapid semi-quantitative interference pattern analysis technique helps to select donor nerves.•Even 2 years since denervation should not prevent referral to a reconstructive neurosurgeon. Evaluate correlation between donor ne...
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Published in: | Clinical neurophysiology 2019-05, Vol.130 (5), p.701-706 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •Neurophysiology has great potential for nerve transfer surgery planning.•A rapid semi-quantitative interference pattern analysis technique helps to select donor nerves.•Even 2 years since denervation should not prevent referral to a reconstructive neurosurgeon.
Evaluate correlation between donor nerve semi-quantitative electromyography (sqEMG) and strength outcome in nerve transfer surgery.
Retrospective review of pre-operative donor nerve semi-quantitative neurophysiology and post-operative recipient muscle force after at least one-year follow-up. The semi-quantitative technique is the average motor unit number estimate associated with needle recorded interference patterns in the donor muscle (IP-AMUNE), which was correlated with hand-held manometry, standardized as a percent of the contralateral arm, using multivariable linear regression with backward selection.
Twenty-eight nerve transfer cases were included. The correlation between the donor nerve IP-AMUNE and the recipient muscle strength was moderate to strong and highly significant (r = 0.67, p 0.54).
IP-AMUNE is a good predictor of strength after nerve transfer surgery and should be considered in the evaluation and planning of patients undergoing nerve transfer to aid in donor nerve selection.
IP-AMUNE may significantly benefit those undergoing nerve transfer surgery for the restoration of movement. |
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ISSN: | 1388-2457 1872-8952 |
DOI: | 10.1016/j.clinph.2019.02.008 |