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Record W4407249517 · doi:10.1055/s-0045-1803381

Systematic Review and Meta-analysis: Radiosurgery Outcomes in Cavernous Sinus Meningioma

2025· article· en· W4407249517 on OpenAlexaff
Lucca B. Palavani, Raphael Camerotte, Marina Vilardo, Bernardo Vieira Nogueira, Lucas Pari Mitre, Paulo F. Ribeiro, Henrique L. Lepine, Filipi Fim Andreão, Fábio Torregrossa, Thiago S. Montenegro, Raphael Bertani, Fábio Ynoe de Moraes, Marcos Vinícius Calfat Maldaun, Cleiton Formentin

Bibliographic record

VenueJournal of Neurological Surgery Part B Skull Base · 2025
Typearticle
Languageen
FieldMedicine
TopicMeningioma and schwannoma management
Canadian institutionsQueen's University
Fundersnot available
KeywordsRadiosurgeryMeningiomaMeta-analysisCavernous sinusMedicineRadiologyInternal medicineRadiation therapy

Abstract

fetched live from OpenAlex

Introduction: Meningiomas are the most common primary CNS tumors, with cavernous sinus meningiomas (CSMs) constituting 1% of intracranial tumors. Due to their location and potential invasion, CSMs are challenging to treat. Treatment methods have evolved from aggressive resections to less invasive techniques like stereotactic radiosurgery (SRS), which reduce morbidity and improve survival. This study reviews the effectiveness and safety of radiosurgery for CSMs, integrating historical and contemporary approaches to guide future treatments. Methods: A search was conducted in Medline, Embase, and Cochrane databases, adhering to Cochrane and PRISMA guidelines. Eligible studies included randomized or observational studies with at least four patients reporting on radiosurgery for CSM. A random-effects model was used to calculate a single proportion analysis with 95% confidence intervals. Statistical analyses were performed using RStudio. Clinical improvement was defined as partial or complete recovery of at least one preexisting cranial nerve or neurological deficit. Clinical deterioration was defined as the worsening or onset of new cranial nerve or neurological deficits. The design of progression-free survival analysis was considered according to the included studies. Results: The analysis included 51 studies with a total of 4,168 patients, and the median age was 57 years, ranging from 32 to 107 years. Males made up 60% of the cohort, and females 40%. The mean tumor volume was 10.9 cm 3 . Previous surgeries were reported in 569 patients (13.65%). Cranial nerve deficits were the most common symptom (80%), followed by extraocular neuropathy (55%), trigeminal neuropathy (31%), and visual acuity impairment (12%). Gamma Knife was the most used radiotherapy modality (45%), followed by LINAC (25%) and Cyber Knife (5%). The marginal dose ranged from 10 to 80 Gy, with an average of 18 Gy. The mean follow-up duration was about 50 months, ranging from 15 to 300 months. These data provide insights into patient demographics, treatment methods, and posttreatment monitoring strategies. Outcomes were as follows: the 10-year progression-free survival (PFS) rate was 90% (95% CI: 80–99%; I 2 = 85%; [ Fig. 1 ]), clinical deterioration occurred in 6% of cases (95% CI: 3–9%; I 2 = 71%; [ Fig. 2 ]), clinical improvement was observed in 36% of patients (95% CI: 28–43%; I 2 = 86%; [ Fig. 3 ]). Fig. 1 10-year progression-free survival. Fig. 2 Clinical deterioration. Fig. 3 Clinical improvement. Conclusion: This study demonstrates that SRS is an effective treatment for CSMs, offering high long-term PFS and significant tumor control with few complications. However, variations in SRS techniques and tumor characteristics highlight the need for standardized methods to refine treatment approaches. Publication History Article published online: 07 February 2025 © 2025. Thieme. All rights reserved. Georg Thieme Verlag KG Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.051
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0160.052
Bibliometrics0.0040.006
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.297
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractno

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