Evidence map›Paper›PMID 40487578›Full record

ArticleNeuro-oncology practice2025

Predicting critical surgical characteristics of intracranial meningiomas on MRI-A prospective study on 100 consecutive patients.

Fabian Winter, Julia Furtner, Astrid Dunst, Gregor Kasprian, Michael Weber, Adelheid Woehrer, Karl Roessler, Christian Dorfer

Abstract read
In one paragraph

Article in Neuro-oncology practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Fabian WinterDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.
Julia FurtnerResearch Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Faculty of Medicine and Dentistry, Danube Private University, Krems, Austria.ORCID https://orcid.org/0000-0001-8258-3681
Astrid DunstDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.
Gregor KasprianDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-3858-3347
Michael WeberDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Adelheid WoehrerDepartment of Neurology, Division of Neuropathology and Neurochemistry, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-8435-8189
Karl RoesslerDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.
Christian DorferDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-1843-7732

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to identify magnetic resonance imaging (MRI) markers predictive of essential surgical characteristics in meningiomas, including consistency, ease of dissection of meningioma from surrounding brain tissue, and vascularity, which are crucial for surgical decisions and outcomes. Methods: We conducted preoperative MRI using a standardized protocol to measure signal intensities (SI) within meningiomas. Additionally, we administered intraoperative questionnaires and performed histological analyses on each tumor. Results: A total of 100 consecutive patients (mean age, 58 years ± 13, 69 female) were enrolled in this prospective clinical trial. Meningioma volumes varied (0.4-185.6 cm Conclusion: Key surgical aspects of meningiomas can be predicted using conventional MRI sequences. This may improve patient counseling and surgical planning.

Indexed as

cranialmeningiomaMRIsurgery

Identifiers

PMID40487578
PMCPMC12137207

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.