Evidence map›Paper›PMID 39432031›Full record

ReviewActa neurochirurgica2024

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

Ina Moritz, Melina Engelhardt, Tizian Rosenstock, Ulrike Grittner, Oliver Schweizerhof, Rutvik Khakhar, Heike Schneider, Andia Mirbagheri, Anna Zdunczyk, Katharina Faust and 2 more

Abstract readReview
In one paragraph

Review in Acta neurochirurgica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Ina MoritzDepartment of Neurosurgery, Charité - Universitätsmedizin, Berlin, Germany, Image Guidance Lab, Luisenstraße 58-60, 10117, Berlin, Germany. ina.moritz@charite.de.ORCID 0000-0002-4103-603X
Melina EngelhardtDepartment of Neurosurgery, Charité - Universitätsmedizin, Berlin, Germany, Image Guidance Lab, Luisenstraße 58-60, 10117, Berlin, Germany.
Tizian RosenstockDepartment of Neurosurgery, Charité - Universitätsmedizin, Berlin, Germany, Image Guidance Lab, Luisenstraße 58-60, 10117, Berlin, Germany.
Ulrike GrittnerInstitute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Oliver SchweizerhofInstitute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Rutvik KhakharDepartment of Plastic and Reconstructive Surgery, Unfallkrankenhaus Berlin, Warener Straße 7, 12683, Berlin, Germany.
Heike SchneiderDepartment of Neurosurgery, Charité - Universitätsmedizin, Berlin, Germany, Image Guidance Lab, Luisenstraße 58-60, 10117, Berlin, Germany.
Andia MirbagheriDepartment of Neurosurgery, Universitätsklinikum Mannheim, Universitätsmedizin Mannheim, Universität Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
Anna ZdunczykDepartment of Neurosurgery, Charité - Universitätsmedizin, Berlin, Germany, Image Guidance Lab, Luisenstraße 58-60, 10117, Berlin, Germany.
Katharina FaustDepartment of Neurosurgery, Charité - Universitätsmedizin, Berlin, Germany, Image Guidance Lab, Luisenstraße 58-60, 10117, Berlin, Germany.
Peter VajkoczyDepartment of Neurosurgery, Charité - Universitätsmedizin, Berlin, Germany, Image Guidance Lab, Luisenstraße 58-60, 10117, Berlin, Germany.
Thomas PichtDepartment of Neurosurgery, Charité - Universitätsmedizin, Berlin, Germany, Image Guidance Lab, Luisenstraße 58-60, 10117, Berlin, Germany.

Funding

Deutsche Forschungsgemeinschaft EXC 2025 - 390648296
6 · The paper itself

Abstract

backgroundOne 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.

methodsBiometric 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.

resultsThe 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.

conclusionsThe 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.

Indexed as

Brain NeoplasmsGliomaTranscranial Magnetic StimulationAdultAgedEvoked Potentials, MotorFemaleHumansMaleMiddle AgedMotor CortexMotor DisordersPostoperative ComplicationsPreoperative CareProspective StudiesBrain tumor surgeryCortical silent periodCortical spinal tractNavigated transcranial magnetic stimulationRecruitment curveRisk stratification model

Identifiers

PMID39432031
PMCPMC11493810

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.