Cervical spondylotic myelopathy: proposal of a surveillance algorithm
F. Tamburrelli1, V. Di Lazzaro2, E. Pola1, M. Genitiempo1, F. Pilato2, C.A. Logroscino1 1Department of Orthopaedics and Traumatology, Division of Spinal Surgery, 2Department of
Neurology, School of Medicine, Catholic University of Sacred Heart, Rome (Italy)
Abstract. – The review of the publications concerning cervical spondylotic myelopathy (CSM) suggests that it has not been achieved a clear consensus about the treatment of this pathology. In this paper an algorithm of surveillance, conceived as an assistant tool to decide the best indications of treatment is presented. The algorithm permits a clear separation of the symptomatic patients on the base of the presence or the absence of neurologic damage resulting at the evoked potentials examination. The negativity of the evoked potentials, that means neurologic integrity, excludes any type of surgical treatment.
In case of proved neurologic damage, the algorithm permits a further differentiation in subgroups according to the degree of clinical disability.
If evoked potentials are positive, a surgical decompression should be always performed in patients affected by a severe clinical disability.
The group of patients affected by a mild degree of clinical disability but with positive evoked potentials represents the most challenging for the spinal surgeons. Actually, several studies support either surgical and non surgical treatment for these patients. Although the Authors think that a surgical decompression has to be always performed in case of proved neurologic damage, only further randomized studies based on accurate algorithms could elucidate the outcome of the CSM and could permit to choose the best treatment according to the degree of the disease.
Corresponding Author: Francesco Tamburrelli, MD; e-mail: francesco.tamburrelli@rm.unicatt.it
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To cite this article
F. Tamburrelli1, V. Di Lazzaro2, E. Pola1, M. Genitiempo1, F. Pilato2, C.A. Logroscino1
Cervical spondylotic myelopathy: proposal of a surveillance algorithm
Eur Rev Med Pharmacol Sci
Year: 2008
Vol. 12 - N. 3
Pages: 161-165