Predicting intraoperative meningioma consistency using features from standard MRI sequences: a preoperative evaluation

An array of simple qualitative meningioma characteristics on MRI can assist in swift discrimination of soft and hard tumors preoperatively. These have been displayed in a figure that can easily be implemented clinically for optimal surgical planning.

Authors

Institutions

Publication Details

Journal
Acta Neurochirurgica
Published
2025-06-21
DOI
https://doi.org/10.1007/s00701-025-06582-9
Primary Topic
Meningioma and schwannoma management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting intraoperative meningioma consistency using features from standard MRI sequences: a preoperative evaluation

Kyrre E. Emblem, Donata Biernat, Eirik Helseth, Pål Rønning et al.
Acta Neurochirurgica
Meningioma and schwannoma management
article

Predicting intraoperative meningioma consistency using features from standard MRI sequences: a preoperative evaluation

Kyrre E. Emblem, Donata Biernat, Eirik Helseth, Pål Rønning, Karoline Skogen, Till Schellhorn, Robin Bugge, Jon Ramm‐Pettersen
article en

Abstract

An array of simple qualitative meningioma characteristics on MRI can assist in swift discrimination of soft and hard tumors preoperatively. These have been displayed in a figure that can easily be implemented clinically for optimal surgical planning.

Acta NeurochirurgicaVol. 167(1)
Oslo University Hospital (NO), University of Oslo (NO)
Universitetet i Oslo
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 79%
Meningioma and schwannoma management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.