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Prediction of Spinal Epidural Metastases
Arch Neurol 57:690-695, Kienstra,G.E.M.,et al, 2000
See this aricle in Pubmed

Article Abstract
Spinal metastatic disease was diagnosed in 80 patients (47%); of these, 31 had SEM. A metastatic abnormality on plain films was the strongest independent predictor for SMD. Other important predictors were night pain, progressive pain, and Karnofsky score. Advanced age, exacerbation of pain during recumbency, and osteoporotic fracture imply a low risk of SMD. Night pain and the Karnofsky score proved to be the main predictors for SEM. A plain film showing an osteoporotic fracture strongly decreased the risk of SEM. The discriminating value of the multivariate analysis was too low, and too few patients can be excluded from undergoing MRI on the basis of standard neurological checkup. To identify all the patients with SMD (P<.01), MRI would be excluded in only 7 patients. Identification of all patients with SEM (P<.001) reduced the number of MRIs by 21 at the expense of plain films of the whole spine for any patient. Selection of patients with cancer with back pain at risk of SEM was not possible with the standard neurological checkup. After intake by the neurologist, the next step should be MRI of the whole spine.
 
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