Improvement in pain after lumbar surgery in cancer patients with mechanical radiculopathy

BACKGROUND CONTEXT: Lumbar metastases can result in spinal instability and mechanical radiculopathy, characterized by radicular pain produced by axial loading. This pain pattern represents a definitive symptom of neoplastic instability and may serve as a reliable indication for surgical stabilization. PURPOSE: We examined the results of surgical decompression and fixation in the treatment of mechanical radiculopathy. STUDY DESIGN/SETTING: A retrospective clinical study. PATIENT SAMPLE: An internally maintained spine neurosurgery database was queried between February 2002 and April 2010. Patients were identified and deemed eligible for inclusion in this study based on the presence of all the following: metastatic tumor, lumbar surgery, and lumbar radiculopathy. OUTCOME MEASURES: Visual analog scale (VAS) of pain and Eastern Cooperative Oncology Group (ECOG) status. METHODS: The Memorial Sloan-Kettering Cancer Center Department of Neurosurgery operative database was queried over an 8-year period to identify all patients with spinal metastases who underwent lumbar surgery. Only patients whose operative indication included mechanical radiculopathy were included. Pre- and postoperative pain was assessed with the VAS of pain, whereas pre- and postoperative performance status was evaluated using the ECOG. RESULTS: Fifty-five patients were included in the cohort. L2 and L3 were the most common levels involved, and most patients underwent multilevel posterior decompression and instrumented fusion. After surgery, 98% of patients reported pain relief. A significant difference between average pre- and postoperative pain scores was found (p<.01). Overall, 41.5% of patients experienced improvement in their ECOG score postoperatively. CONCLUSIONS: Mechanical radiculopathy in patients with spinal metastases represents a highly reliable surgical indication. Spinal decompression and fixation is an effective treatment for pain palliation in this patient population. (C) 2014 Elsevier Inc. All rights reserved.