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Updated: Oct 10, 2025

CMAP Scan MUNE MScan - A Novel Motor Unit Number Estimation MUNE Method
Published on: June 7, 2018
Assessing inter-rater reproducibility in MScanFit MUNE in a 6-subject, 12-rater "Round Robin" setup
Daniel Mosgaard Sørensen1, Hugh Bostock2, Martin Ballegaard3
1Department of Clinical Neurophysiology, Aarhus University Hospital, Denmark.
The MScanFit method for Motor Unit Number Estimation (MUNE) shows high inter-rater reliability, even with inexperienced users. This technique is well-tolerated by patients and may serve as a reliable biomarker in drug trials.
Area of Science:
- Neurology
- Neurophysiology
- Biomarker Development
Background:
- Motor Unit Number Estimation (MUNE) is crucial for assessing neuromuscular disorders.
- The MScanFit technique offers a novel approach to MUNE.
- Assessing the reliability of new diagnostic tools is essential for clinical adoption.
Purpose of the Study:
- To evaluate the inter-rater reliability of the MScanFit MUNE method.
- To assess patient tolerance and pain perception during MScanFit examinations.
- To explore the potential of MScanFit as a biomarker in clinical trials.
Main Methods:
- A "Round Robin" study design involving twelve raters from different centers.
- Stimulation of median, ulnar, and common peroneal nerves, recording compound muscle action potential (CMAP)-scans.
- Calculation of MUNE and motor unit size parameter (A50), analyzed using Limits of Agreement (LOA) and Coefficient of Variation (COV).
Main Results:
- High inter-rater reliability was observed for MScanFit MUNE across different nerves and muscles.
- Mean MUNE values showed low Coefficient of Variation (COV) and acceptable Limits of Agreement (LOA).
- Patients reported an average pain score of 4 out of 10, indicating reasonable tolerance.
Conclusions:
- MScanFit demonstrates high inter-rater reliability, supporting its use in clinical settings.
- The method is well-tolerated by patients, suggesting feasibility for widespread application.
- MScanFit shows promise as a reliable MUNE method and a potential biomarker in pharmaceutical research.
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