Preoperative nTMS analysis: a sensitive tool to detect imminent motor deficits in brain tumor patients.

Brain tumor surgery Cortical silent period Cortical spinal tract Navigated transcranial magnetic stimulation Recruitment curve Risk stratification model

Journal

Acta neurochirurgica
ISSN: 0942-0940
Titre abrégé: Acta Neurochir (Wien)
Pays: Austria
ID NLM: 0151000

Informations de publication

Date de publication:
21 Oct 2024
Historique:
received: 20 05 2024
accepted: 03 10 2024
medline: 21 10 2024
pubmed: 21 10 2024
entrez: 21 10 2024
Statut: epublish

Résumé

One of the challenges in surgery of tumors in motor eloquent areas is the individual risk assessment for postoperative motor disorder. Previously a regression model was developed that permits estimation of the risk prior to surgery based on topographical and neurophysiological data derived from investigation with nTMS (navigated Transcranial Magnetic Stimulation). This study aims to analyze the impact of including additional neurophysiological TMS parameters into the established risk stratification model for motor outcome after brain tumor surgery. Biometric and clinical data of 170 patients with glioma in motor eloquent areas were collected prospectively. In addition, the following nTMS parameters were collected bihemispherically prior to surgery: resting motor threshold (RMT), recruitment curve (RC), cortical silent period (CSP) and a nTMS based fibertracking to measure the tumor tract distance (TTD). Motor function was quantified by Medical Research Council Scale (MRCS) preoperatively, seven days and three months postoperatively. Association between nTMS parameters and postoperative motor outcome was investigated in bivariate and multivariable analyses. The bivariate analysis confirmed the association of RMT ratio with the postoperative motor outcome after seven days with higher rates of worsening in patients with RMT ratio > 1.1 compared to patients with RMT ratio ≤ 1.1 (31.6% vs. 15.1%, p = 0.009). Similarly, an association between a pathological CSP ratio and a higher risk of new postoperative motor deficits after seven days was observed (35.3% vs. 16.7% worsening, p = 0.025). A pathological RC Ratio was associated postoperative deterioration of motor function after three months (42.9% vs. 16.2% worsening, p = 0.004). In multiple regression analysis, none of these associations were statistically robust. The current results suggest that the RC ratio, CSP ratio and RMT ratio individually are sensitive markers associated with the motor outcome 7 days and 3 months after tumor resection in a presumed motor eloquent location. They can therefore supply valuable information during preoperative risk-benefit-balancing. However, underlying neurophysiological mechanisms might be too similar to make the parameters meaningful in a combined model.

Sections du résumé

BACKGROUND BACKGROUND
One of the challenges in surgery of tumors in motor eloquent areas is the individual risk assessment for postoperative motor disorder. Previously a regression model was developed that permits estimation of the risk prior to surgery based on topographical and neurophysiological data derived from investigation with nTMS (navigated Transcranial Magnetic Stimulation). This study aims to analyze the impact of including additional neurophysiological TMS parameters into the established risk stratification model for motor outcome after brain tumor surgery.
METHODS METHODS
Biometric and clinical data of 170 patients with glioma in motor eloquent areas were collected prospectively. In addition, the following nTMS parameters were collected bihemispherically prior to surgery: resting motor threshold (RMT), recruitment curve (RC), cortical silent period (CSP) and a nTMS based fibertracking to measure the tumor tract distance (TTD). Motor function was quantified by Medical Research Council Scale (MRCS) preoperatively, seven days and three months postoperatively. Association between nTMS parameters and postoperative motor outcome was investigated in bivariate and multivariable analyses.
RESULTS RESULTS
The bivariate analysis confirmed the association of RMT ratio with the postoperative motor outcome after seven days with higher rates of worsening in patients with RMT ratio > 1.1 compared to patients with RMT ratio ≤ 1.1 (31.6% vs. 15.1%, p = 0.009). Similarly, an association between a pathological CSP ratio and a higher risk of new postoperative motor deficits after seven days was observed (35.3% vs. 16.7% worsening, p = 0.025). A pathological RC Ratio was associated postoperative deterioration of motor function after three months (42.9% vs. 16.2% worsening, p = 0.004). In multiple regression analysis, none of these associations were statistically robust.
CONCLUSIONS CONCLUSIONS
The current results suggest that the RC ratio, CSP ratio and RMT ratio individually are sensitive markers associated with the motor outcome 7 days and 3 months after tumor resection in a presumed motor eloquent location. They can therefore supply valuable information during preoperative risk-benefit-balancing. However, underlying neurophysiological mechanisms might be too similar to make the parameters meaningful in a combined model.

Identifiants

pubmed: 39432031
doi: 10.1007/s00701-024-06308-3
pii: 10.1007/s00701-024-06308-3
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

419

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : EXC 2025 - 390648296

Informations de copyright

© 2024. The Author(s).

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Auteurs

Ina Moritz (I)

Department of Neurosurgery, Charité - Universitätsmedizin, Berlin, Germany, Image Guidance Lab, Luisenstraße 58-60, 10117, Berlin, Germany. ina.moritz@charite.de.
Department of Neurosurgery and Center for Spinetherapy, Helios Klinikum Berlin - Buch, Medical School Berlin (MSB), Schwanebecker Chaussee 50, 13125, Berlin, Germany. ina.moritz@charite.de.

Melina Engelhardt (M)

Department of Neurosurgery, Charité - Universitätsmedizin, Berlin, Germany, Image Guidance Lab, Luisenstraße 58-60, 10117, Berlin, Germany.
Einstein Center für Neurowissenschaften, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.

Tizian Rosenstock (T)

Department of Neurosurgery, Charité - Universitätsmedizin, Berlin, Germany, Image Guidance Lab, Luisenstraße 58-60, 10117, Berlin, Germany.
Berlin Institute of Health (BIH), Translationsforschungsbereich Der Charité-Universitätsmedizin Berlin, Anna-Louisa-Karsch-Str. 2, 10178, Berlin, Germany.

Ulrike Grittner (U)

Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Berlin Institute of Health (BIH), Translationsforschungsbereich Der Charité-Universitätsmedizin Berlin, Anna-Louisa-Karsch-Str. 2, 10178, Berlin, Germany.

Oliver Schweizerhof (O)

Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Berlin Institute of Health (BIH), Translationsforschungsbereich Der Charité-Universitätsmedizin Berlin, Anna-Louisa-Karsch-Str. 2, 10178, Berlin, Germany.

Rutvik Khakhar (R)

Department of Plastic and Reconstructive Surgery, Unfallkrankenhaus Berlin, Warener Straße 7, 12683, Berlin, Germany.

Heike Schneider (H)

Department of Neurosurgery, Charité - Universitätsmedizin, Berlin, Germany, Image Guidance Lab, Luisenstraße 58-60, 10117, Berlin, Germany.

Andia Mirbagheri (A)

Department of Neurosurgery, Universitätsklinikum Mannheim, Universitätsmedizin Mannheim, Universität Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.

Anna Zdunczyk (A)

Department of Neurosurgery, Charité - Universitätsmedizin, Berlin, Germany, Image Guidance Lab, Luisenstraße 58-60, 10117, Berlin, Germany.

Katharina Faust (K)

Department of Neurosurgery, Charité - Universitätsmedizin, Berlin, Germany, Image Guidance Lab, Luisenstraße 58-60, 10117, Berlin, Germany.

Peter Vajkoczy (P)

Department of Neurosurgery, Charité - Universitätsmedizin, Berlin, Germany, Image Guidance Lab, Luisenstraße 58-60, 10117, Berlin, Germany.

Thomas Picht (T)

Department of Neurosurgery, Charité - Universitätsmedizin, Berlin, Germany, Image Guidance Lab, Luisenstraße 58-60, 10117, Berlin, Germany.
Berlin Simulation and Training Center, Charité, Charitéplatz 1, 10117, Berlin, Germany.
Cluster of Excellence: "Matters of Activity. Image Space Material", Humboldt Universität Zu Berlin, Unter Den Linden 6, 1099, Berlin, Germany.

Classifications MeSH