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Cervical root sonography to differentiate multifocal motor neuropathy from ALS
Hiroyuki Nodera1, Yuishin Izumi, Naoko Takamatsu
1Department of Neurology, Tokushima University.
The Journal of Medical Investigation : JMI
|April 5, 2016
Summary
Ultrasound can detect nerve swelling in multifocal motor neuropathy (MMN) patients. This finding aids in diagnosing MMN, even without clear nerve conduction block, supporting early detection of this rare neurological disorder.
Area of Science:
- Neurology
- Neurophysiology
- Medical Imaging
Background:
- Multifocal motor neuropathy (MMN) is a rare autoimmune disorder affecting peripheral nerves.
- Diagnosis of MMN often relies on electrophysiological evidence of conduction block, which may not always be present.
- Proximal nerve root abnormalities may indicate MMN even without overt conduction block.
Purpose of the Study:
- To investigate sonographical evidence of focal proximal demyelination in MMN.
- To assess the utility of ultrasound in diagnosing MMN when conduction block is absent.
- To compare cervical nerve root dimensions in MMN patients versus ALS patients and healthy controls.
Main Methods:
- Sonographical assessment of cervical nerve roots (C5, C6) was performed.
- Study included 9 MMN patients, 22 Amyotrophic Lateral Sclerosis (ALS) patients, and 17 control subjects.
- Mean nerve root diameters were measured and compared between groups.
Main Results:
- MMN patients exhibited significantly larger mean diameters of C5 and C6 nerve roots compared to ALS patients and controls.
- Nerve root enlargement was more pronounced on the clinically affected side in MMN patients.
- Sonographical findings were non-specific but showed a trend towards increased nerve root size in MMN.
Conclusions:
- Sonography of cervical nerve roots may reveal suggestive evidence of focal proximal demyelination in MMN.
- Ultrasound can be a valuable adjunctive diagnostic tool for MMN, particularly when conduction block is not evident.
- This imaging technique may support the diagnosis of MMN, aiding clinicians in identifying affected individuals earlier.

