Role Of Magnetic Resonance Imaging (MRI) In Evaluation Of Non-Traumatic Compressive Myelopathy With Histopathological Correlation
Journal Title: National Journal of Medical and Dental Research - Year 2017, Vol 5, Issue 3
Abstract
Background: Compressive diseases of the spinal cord are divided into acute and chronic, including degenerative changes, trauma, tumor infiltration, vascular malformations, infections with abscess formation, and syringomyelia. Compressive disease is the main cause of myelopathy in older patients. It has a chronic course and usually does not recur. Method: The Present study is a descriptive study aimed to evaluate role of MRI in evaluation of non-traumatic compressive myelopathy with histopathological correlation (wherever necessary) on 30 patients in the Department of Radiodiagnosis & Pathology of NSCB Medical College Jabalpur MP. Results: Most common causes of compressive myelopathy (Non traumatic) in the present study are extradural compression from degenerative compressive myelopathy (30%) and Metastasis (20%).Degenerative compressive myelopathy were found to be more common in the higher age group (above 55Yrs) and in females. Most commonly (77.78%) involve lower cervical area (C3-C7).Metastatic disease of the spine (83%) was seen in multiple level of vertebral column. In the present study most common site of involvement was the dorsal spine.Primary neoplasm like spinal ependymoma is more common than other intramedullary spinal neoplasms in adult age group. Conclusion: MRI is very definitive, sensitive, accurate, though costly but very specific, non invasive, radiation free modality for evaluation of Compressive myelopathy. MRI is the definitive modality in assessing soft tissues of the spine and spinal cord abnormalities, to evaluate cord edema/contusion and integrity of the intervertebral discs and ligaments. MR techniques play an indispensable role in the management of compressive non traumatic spondylotic myelopathy patients and have evolved primarily from a diagnostic modality to a method that can potentially predict patient outcome following surgical intervention.
Authors and Affiliations
Vishal Kasotiya, Avadhesh PS Kushwah, Sonjjay PAnde
Keywords
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