Intraoperative neurophysiological monitoring during resection of intradural extramedullary spinal cord tumors: experience with 100 cases.

BACKGROUND: Intradural-extramedullary spinal cord tumor surgery is common. Unlike intramedullary spinal cord tumor surgery, where intraoperative neurophysiological monitoring (IONM) has been described extensively, the application of IONM has not been described in this context, and its relevance has not been investigated. METHODS: From 2001 to 2012, 100 patients underwent intradural-extramedullary spinal cord tumor resection with IONM. Preoperative and postoperative clinical evaluations were completed retrospectively, using a modified McCormick grading scale and correlated with IONM monitorability and dynamics. IONM consisted of transcranial motor evoked potentials (tcMEP), spinal (D wave) and muscle generators, somatosensory evoked potentials (SSEP), and electromyography (EMG). Both short-term and long-term clinical evaluations were performed. Patient demographics, tumor type, span, location, and morphologic complexity were analyzed. RESULTS: Surgeries were performed for resection of schwannomas (33 %), meningiomas (22 %), ependymomas (12 %), and other pathologies (20 %); pathology was unknown in 13 % of patients. Tumor locations were cervical in 21 %, thoracic in 46 %, thoracolumbar in 7 %, lumbar 20 %, and not specified in 6 %. Tumors spanned an average of 2.2 spinal levels. Monitorability was 97 and 67 % with tcMEP and SSEP modalities respectively. D waves were monitorable in 73 % of attempts. Intraoperative tcMEP changes were reported in 29 cases with 14 resolved intraoperatively, There were one false-negative outcome and five true-positive outcomes. For SSEP, 13 changes were noted and three resolved; there were three false-negative results and one true-positive result. For D wave monitoring there were two intraoperative changes with none resolved leading to one false negative and one true positive result. With a multimodality approach incorporating any change in evoked potential, IONM demonstrated sensitivity of 0.82, specificity of 0.95, positive predictive value of 0.82, and a negative predictive value of 0.95. CONCLUSIONS: IONM is feasible and useful in the context of intradural-extramedullary spinal cord surgery for identifying iatrogenic injury to the spinal cord.

Shuval automated problem-oriented record: an off-line record for a primary care clinic.

An off-line system for automating the problem-oriented record implemented at Kibbutz Shuval is described. The Shuval problem-oriented record consists of acute and chronic problem lists, a preprinted data base collected by patients and nurses, problem-oriented plan flow sheets, problem-oriented progress notes and a regular record audit. The mean conversion time from a traditional record to a problem-oriented record was 17 min for a child's record and 25 min for an adult's. The automated problem-oriented record consists of three data processing forms that contain almost all data in the record. Transfer of data took, on the average, 10 min (range, 5 to 30 min) for a child's record. The following five types of analysis can be performed with the Shuval automated problem-oriented record: administrative, patient care, epidemiologic, demographic and clinical research. Coupled with the manual problem-oriented record, the Shuval automated record provides many advantages of an on-line problem-oriented record at considerably less cost.