The Impact of Neurophysiological Monitoring during Intradural Spinal Tumor Surgery

Author:

Ilhan Furkan1,Boulogne Sébastien12ORCID,Morgado Alexis3,Dauleac Corentin3ORCID,André-Obadia Nathalie14ORCID,Jung Julien15ORCID

Affiliation:

1. Neurophysiology & Epilepsy Unit, Neurological Hospital P. Wertheimer, Hospices Civils de Lyon, 59 Boulevard Pinel, 69677 Bron, France

2. Tiger TEAM, INSERM U1028, UMR5292, Lyon Neuroscience Research Center, CNRS, University Claude Bernard Lyon 1, 69675 Lyon, France

3. Neurosurgical Department, Neurological Hospital P. Wertheimer, Hospices Civils de Lyon, 59 Boulevard Pinel, 69677 Bron, France

4. NeuroPain Lab, INSERM U1028, UMR5292, Lyon Neuroscience Research Center, CNRS, University Claude Bernard Lyon 1, 69675 Lyon, France

5. EDUWELL Team, INSERM U1028, UMR5292, Lyon Neuroscience Research Center, CNRS, University Claude Bernard Lyon 1, 69675 Lyon, France

Abstract

Surgery for spinal cord tumors poses a significant challenge due to the inherent risk of neurological deterioration. Despite being performed at numerous centers, there is an ongoing debate regarding the efficacy of pre- and intraoperative neurophysiological investigations in detecting and preventing neurological lesions. This study begins by providing a comprehensive review of the neurophysiological techniques commonly employed in this context. Subsequently, we present findings from a cohort of 67 patients who underwent surgery for intradural tumors. These patients underwent preoperative and intraoperative multimodal somatosensory evoked potentials (SSEPs) and motor evoked potentials (MEPs), with clinical evaluation conducted three months postoperatively. The study aimed to evaluate the neurophysiological, clinical, and radiological factors associated with neurological outcomes. In univariate analysis, preoperative and intraoperative potential alterations, tumor size, and ependymoma-type histology were linked to the risk of worsening neurological condition. In multivariate analysis, only preoperative and intraoperative neurophysiological abnormalities remained significantly associated with such neurological deterioration. Interestingly, transient alterations in intraoperative MEPs and SSEPs did not pose a risk of neurological deterioration. The machine learning model we utilized demonstrated the possibility of predicting clinical outcome, achieving 84% accuracy.

Publisher

MDPI AG

Reference39 articles.

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3. Treatment of intramedullary spinal cord tumors: A modified Delphi technique of the North American Spine Society Section of Spine Oncology;Hersh;J. Neurosurg. Spine,2024

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5. Adult intramedullary spinal cord ependymomas: The result of surgery in 38 patients;Epstein;J. Neurosurg.,1993

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