Evidence map›Paper›PMID 41103557›Full record

ArticleBrain & spine2025

Exploring the role of volumetric and radiological features in meningioma behaviour and follow-up strategies.

Angelica Suutari, Khanh Nguyen, Lauri Koponen, Mika Pesonen, Niina Salokorpi, Michaela K Bode, Oula Knuutinen, Tuija Keinänen

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Article in Brain & spine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Angelica SuutariDepartment of Neurosurgery, Neurocenter, Oulu University Hospital, Oulu, Finland.
Khanh NguyenResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.
Lauri KoponenDepartment of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland.
Mika PesonenResearch Unit of Clinical Medicine, Faculty of Medicine, Oulu University Hospital and University of Oulu, Oulu, Finland.
Niina SalokorpiDepartment of Neurosurgery, Neurocenter, Oulu University Hospital, Oulu, Finland.
Michaela K BodeDepartment of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland.
Oula KnuutinenDepartment of Neurosurgery, Neurocenter, Oulu University Hospital, Oulu, Finland.
Tuija KeinänenDepartment of Neurosurgery, Neurocenter, Oulu University Hospital, Oulu, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Meningiomas are typically slow-growing tumors, but their long-term behavior remains variable. Understanding growth dynamics and identifying predictive radiological markers are essential for optimizing follow-up strategies. Research question: Does long-term volume growth of meningiomas correlate with specific radiological markers, and can early growth predict future progression? Materials and methods: This retrospective study included 100 randomly selected patients with meningiomas treated between 2000 and 2018 at a single neurosurgical center. The patients had at least five MRI studies during the follow-up period. All images were assessed for radiological variables including growth rate. The tumors volume was evaluated on each MRI scan by three independent researchers. The interrater reliability of manual tumor volume segmentation was excellent (ICC = 1). The tumor growth was defined as volume increase over 0.2 cm3 and progression as ≥ 40 % volume growth. Results: The median age at diagnosis was 59 years (range 51-68). Tumor locations were mainly convexity (37.3 %) and anterior skull base (32.7 %), with a dural tail observed in 67.2 %. While 45 % of tumors showed some growth (the median volume increase was 0.27 cm Conclusion: Only a minority (22 %) of meningiomas progressed significantly during extended follow-up. Early growth and certain radiological features may help predict future behavior, supporting the potential for more personalized surveillance protocols.

Indexed as

Follow-up imagingMeningiomaRadiological markersTumor growth predictionVolume growth

Identifiers

PMID41103557
PMCPMC12523054

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