Predictive Value of Transcranial Evoked Potential Monitoring for Intramedullary Spinal Cord Tumors.


Journal

Journal of neurological surgery. Part A, Central European neurosurgery
ISSN: 2193-6323
Titre abrégé: J Neurol Surg A Cent Eur Neurosurg
Pays: Germany
ID NLM: 101580767

Informations de publication

Date de publication:
Jul 2021
Historique:
pubmed: 22 1 2021
medline: 23 7 2021
entrez: 21 1 2021
Statut: ppublish

Résumé

 Intraoperative neurophysiologic monitoring (IONM) has increased patient safety and extent of resection in patients with eloquent brain tumors. Despite its comprehensive capability for the resection of intramedullary spinal cord tumors (ISCTs), the application during the resection of these tumors is controversial.  We retrospectively analyzed the resection of ISCTs in 83 consecutive cases. IONM was performed in all cases. Each patient's motor status and the McCormick scale was determined preoperatively, directly after surgery, at the day of discharge, and at long-term follow-up.  IONM was feasible in 71 cases (85.5%). Gross total resection was performed in 75 cases (90.4%). Postoperatively, patients showed new transient deficits in 12 cases (14.5%) and new permanent deficits in 12 cases (14.5%). The mean McCormick variance between baseline and long-term follow-up was - 0.08 ± 0.54. IONM's sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for the patient's motor status at the day of discharge was 75.0%, 64.7%, 45.5%, and 86.8%. It was 88.9%, 59.7%, 24.2%, and 97.4% for the motor outcome at long-term follow-up. Patients experienced postoperative complications in 15 cases (18.1%).  IONM, as performed in the present study, shows a high sensitivity and NPV but low specificity and PPV, particularly for the patient's motor status at the long-term follow-up. As far as practicable by a retrospective study on IONM, our results confirm IONM's usefulness for its application during the resection of ISCTs. However, these results must be approved by a prospective study.

Sections du résumé

BACKGROUND BACKGROUND
 Intraoperative neurophysiologic monitoring (IONM) has increased patient safety and extent of resection in patients with eloquent brain tumors. Despite its comprehensive capability for the resection of intramedullary spinal cord tumors (ISCTs), the application during the resection of these tumors is controversial.
METHODS METHODS
 We retrospectively analyzed the resection of ISCTs in 83 consecutive cases. IONM was performed in all cases. Each patient's motor status and the McCormick scale was determined preoperatively, directly after surgery, at the day of discharge, and at long-term follow-up.
RESULTS RESULTS
 IONM was feasible in 71 cases (85.5%). Gross total resection was performed in 75 cases (90.4%). Postoperatively, patients showed new transient deficits in 12 cases (14.5%) and new permanent deficits in 12 cases (14.5%). The mean McCormick variance between baseline and long-term follow-up was - 0.08 ± 0.54. IONM's sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for the patient's motor status at the day of discharge was 75.0%, 64.7%, 45.5%, and 86.8%. It was 88.9%, 59.7%, 24.2%, and 97.4% for the motor outcome at long-term follow-up. Patients experienced postoperative complications in 15 cases (18.1%).
CONCLUSION CONCLUSIONS
 IONM, as performed in the present study, shows a high sensitivity and NPV but low specificity and PPV, particularly for the patient's motor status at the long-term follow-up. As far as practicable by a retrospective study on IONM, our results confirm IONM's usefulness for its application during the resection of ISCTs. However, these results must be approved by a prospective study.

Identifiants

pubmed: 33477187
doi: 10.1055/s-0040-1710504
doi:

Types de publication

Evaluation Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

325-332

Informations de copyright

Thieme. All rights reserved.

Déclaration de conflit d'intérêts

None declared.

Auteurs

Sebastian Ille (S)

Department of Neurosurgery, Technical University Munich Faculty of Medicine, München, Bayern, Germany.

Arthur Wagner (A)

Department of Neurosurgery, Technical University Munich Faculty of Medicine, München, Bayern, Germany.

Ann Kathrin Joerger (AK)

Department of Neurosurgery, Technical University Munich Faculty of Medicine, München, Bayern, Germany.

Maria Wostrack (M)

Department of Neurosurgery, Technical University Munich Faculty of Medicine, München, Bayern, Germany.

Bernhard Meyer (B)

Department of Neurosurgery, Technical University Munich Faculty of Medicine, München, Bayern, Germany.

Ehab Shiban (E)

Department of Neurosurgery, Technical University Munich Faculty of Medicine, München, Bayern, Germany.
Department of Neurosurgery, University of Augsburg, Augsburg, Bayern, Germany.

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