J Clin Neurol.  2014 Jan;10(1):10-16.

Axon Count and Sympathetic Skin Responses in Lumbosacral Radiculopathy

Affiliations
  • 1Department of Neurology, Ondokuz Mayis University, Samsun, Turkey. hacererdem@gmail.com
  • 2Department of Public Health, Ondokuz Mayis University, Samsun, Turkey.
  • 3Department of Radiodiagnostics, Ondokuz Mayis University, Samsun, Turkey.

Abstract

BACKGROUND AND PURPOSE
Electrodiagnostic studies can be used to confirm the diagnosis of lumbosacral radiculopathies, but more sensitive diagnostic methods are often needed to measure the ensuing motor neuronal loss and sympathetic failure.
METHODS
Twenty-six patients with lumbar radiculopathy and 30 controls were investigated using nerve conduction studies, motor unit number estimation (MUNE), testing of the sympathetic skin response (SSR), quantitative electromyography (QEMG), and magnetic resonance myelography (MRM).
RESULTS
Using QEMG as the gold standard, the sensitivity and specificity of MUNE for the abductor hallucis longus muscle were 71.4% and 70%, respectively. While they were 75% and 68.8%, respectively, when used MRM as gold standard. The sensitivity and specificity of MUNE for the extensor digitorum brevis muscle were 100% and 84.1%, respectively, when the peroneal motor amplitude as the gold standard. The SSR latency was slightly longer in the patients than in the controls.
CONCLUSIONS
MUNE is a simple and sensitive test for evaluating autonomic function and for diagnosing lumbosacral radiculopathy in patients. MUNE could be used routinely as a guide for the rehabilitation of patients with radiculopathies. SSR measurements may reveal subtle sympathetic abnormalities in patients with lumbosacral radiculopathy.

Keyword

lumbosacral radiculopathy; nerve conduction study; quantitative electromyography; motor unit number estimation; sympathetic skin response

MeSH Terms

Axons*
Diagnosis
Electromyography
Humans
Methods
Motor Neurons
Muscles
Myelography
Neural Conduction
Radiculopathy*
Rehabilitation
Sensitivity and Specificity
Skin*

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