Preoperative nTMS analysis

• Verfasst von: Moritz, Ina [VerfasserIn]
• Verfasst von: Engelhardt, Melina [VerfasserIn]
• Verfasst von: Rosenstock, Tizian [VerfasserIn]
• Verfasst von: Grittner, Ulrike [VerfasserIn]
• Verfasst von: Schweizerhof, Oliver [VerfasserIn]
• Verfasst von: Khakhar, Rutvik [VerfasserIn]
• Verfasst von: Schneider, Heike [VerfasserIn]
• Verfasst von: Mirbagheri, Andia [VerfasserIn]
• Verfasst von: Zdunczyk, Anna [VerfasserIn]
• Verfasst von: Faust, Katharina [VerfasserIn]
• Verfasst von: Vajkoczy, Peter [VerfasserIn]
• Verfasst von: Picht, Thomas [VerfasserIn]
• Titel: Preoperative nTMS analysis
• Titelzusatz: a sensitive tool to detect imminent motor deficits in brain tumor patients
• Verf.angabe: Ina Moritz, Melina Engelhardt, Tizian Rosenstock, Ulrike Grittner, Oliver Schweizerhof, Rutvik Khakhar, Heike Schneider, Andia Mirbagheri, Anna Zdunczyk, Katharina Faust, Peter Vajkoczy, Thomas Picht
• E-Jahr: 2024
• Jahr: 21 October 2024
• Umfang: 14 S.
• Illustrationen: Illustrationen
• Fussnoten: Gesehen am 08.04.2025
• Titel Quelle: Enthalten in: Acta neurochirurgica
• Ort Quelle: Wien [u.a.] : Springer, 1950
• Jahr Quelle: 2024
• Band/Heft Quelle: 166(2024), 1, Seite 1-14
• ISSN Quelle: 0942-0940
• DOI: doi:10.1007/s00701-024-06308-3
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 192178931X

Abstract

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 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 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 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.