Literature DB >> 17272451

Electromyographic and magnetic resonance imaging to predict lumbar stenosis, low-back pain, and no back symptoms.

Andrew J Haig1, Michael E Geisser, Henry C Tong, Karen S J Yamakawa, Douglas J Quint, Julian T Hoff, Anthony Chiodo, Jennifer A Miner, Vaishali V Phalke.   

Abstract

BACKGROUND: Magnetic resonance imaging is commonly used to diagnose lumbar spinal stenosis. Some persons without symptoms have a small lumbar spinal canal. Electrodiagnosis has been used to diagnose spinal stenosis for over sixty years, but we are aware of no masked, controlled trials of the use of electrodiagnosis for that purpose. This study was performed to evaluate the relationships of magnetic resonance imaging measures and electrodiagnostic data with the clinical syndrome of spinal stenosis.
METHODS: One hundred and fifty persons between the ages of fifty-five and eighty years old, including asymptomatic volunteers and persons referred for lumbar magnetic resonance imaging, underwent clinical examination, electrodiagnosis, and magnetic resonance imaging. Subjects were excluded if they had neuromuscular disease, sacral cancer, or inadequate test results, which left 126 subjects for the final analysis. The final cohort was divided into three groups--no back pain, mechanical back pain, and clinical spinal stenosis--on the basis of the impression of the examining physician, for whom the results of the magnetic resonance imaging and electrodiagnostic testing were masked. A spine surgeon also reviewed both the imaging and clinical examination data.
RESULTS: The examining physician's diagnosis of clinical spinal stenosis was significantly related to the neurological findings on examination (p < 0.05) and to the spine surgeon's diagnosis (p < 0.001). The diagnosis of clinical spinal stenosis was also significantly related to the presence of fibrillations on electrodiagnostic testing (p < or = 0.003), the minimum anteroposterior diameter of the spinal canal on the magnetic resonance images (p = 0.016), and the average of the two smallest spinal canal diameters (p = 0.008) on the images. Measurements on magnetic resonance imaging did not differentiate subjects with clinical spinal stenosis from controls better than chance, whereas paraspinal mapping electrodiagnosis scores did.
CONCLUSIONS: This prospective, controlled, masked study of electrodiagnosis and magnetic resonance imaging for older subjects showed that imaging does not differentiate symptomatic from asymptomatic persons, whereas electrodiagnosis does. We believe that radiographic findings alone are insufficient to justify treatment for spinal stenosis.

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Year:  2007        PMID: 17272451     DOI: 10.2106/JBJS.E.00704

Source DB:  PubMed          Journal:  J Bone Joint Surg Am        ISSN: 0021-9355            Impact factor:   5.284


  39 in total

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3.  Predictors of walking performance and walking capacity in people with lumbar spinal stenosis, low back pain, and asymptomatic controls.

Authors:  Christy C Tomkins-Lane; Sara Christensen Holz; Karen S Yamakawa; Vaishali V Phalke; Doug J Quint; Jennifer Miner; Andrew J Haig
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Authors:  Andrew J Haig; Paul Park; Peter K Henke; Karen S J Yamakawa; Christy Tomkins-Lane; Juan Valdivia; Sierra Loar
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Authors:  Leonid Kalichman; David H Kim; Ling Li; Ali Guermazi; David J Hunter
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8.  Correlations between sedimentation sign, dural sac cross-sectional area, and clinical symptoms of degenerative lumbar spinal stenosis.

Authors:  Sangbong Ko
Journal:  Eur Spine J       Date:  2017-11-07       Impact factor: 3.134

9.  A prospective, masked 18-month minimum follow-up on neurophysiologic changes in persons with spinal stenosis, low back pain, and no symptoms.

Authors:  Andrew J Haig; Karen S J Yamakawa; Christopher Parres; Anthony Chiodo; Henry Tong
Journal:  PM R       Date:  2009-02-03       Impact factor: 2.298

10.  Assessment and management of neurogenic claudication associated with lumbar spinal stenosis in a UK primary care musculoskeletal service: a survey of current practice among physiotherapists.

Authors:  Christine M Comer; Anthony C Redmond; Howard A Bird; Philip G Conaghan
Journal:  BMC Musculoskelet Disord       Date:  2009-10-01       Impact factor: 2.362

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