Imaging of metastatic epidural spinal cord compression
Metastatic epidural spinal cord compression develops in 5-10% of patients with cancer and is becoming more common as advancement in cancer treatment prolongs survival in patients with cancer (1-3). It represents an oncological emergency as metastatic epidural compression in adjacent neural structure...
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Published in: | Frontiers in radiology Vol. 2; p. 962797 |
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Main Authors: | , , , |
Format: | Journal Article |
Language: | English |
Published: |
Switzerland
Frontiers Media S.A
12-08-2022
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Subjects: | |
Online Access: | Get full text |
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Summary: | Metastatic epidural spinal cord compression develops in 5-10% of patients with cancer and is becoming more common as advancement in cancer treatment prolongs survival in patients with cancer (1-3). It represents an oncological emergency as metastatic epidural compression in adjacent neural structures, including the spinal cord and cauda equina, and exiting nerve roots may result in irreversible neurological deficits, pain, and spinal instability. Although management of metastatic epidural spinal cord compression remains palliative, early diagnosis and intervention may improve outcomes by preserving neurological function, stabilizing the vertebral column, and achieving localized tumor and pain control. Imaging serves an essential role in early diagnosis of metastatic epidural spinal cord compression, evaluation of the degree of spinal cord compression and extent of tumor burden, and preoperative planning. This review focuses on imaging features and techniques for diagnosing metastatic epidural spinal cord compression, differential diagnosis, and management guidelines. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1 Reviewed by: Vlastimil Válek, University Hospital Brno, Czechia; Alok Bhatt, Mayo Clinic Florida, United States This article was submitted to Emergency Radiology, a section of the journal Frontiers in Radiology Edited by: Sadia Raheez Qamar, University of Toronto, Canada |
ISSN: | 2673-8740 2673-8740 |
DOI: | 10.3389/fradi.2022.962797 |