Efficacy and Safety of Radiosurgery in Cavernous Sinus Meningioma: A Systematic Review and Single Meta-Analysis
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Meningiomas are the most common primary central nervous system tumors, with cavernous sinus meningiomas (CSMs) making up a small fraction (1% of intracranial tumors). CSMs are challenging to treat due to their location and potential invasion. Therapy methods have shifted from aggressive resections to less invasive techniques such as stereotactic radiosurgery, reducing morbidity and improving survival. This study reviews the effectiveness and safety of radiosurgery for CSMs, blending historical and contemporary approaches to guide future treatments. METHODS: A search was performed in MEDlINE, Embase, and Cochrane databases, following Cochrane and Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Eligible studies included randomized or observational studies with ≥4 patients reporting on radiosurgery for CSM. The random-effects model was used to calculate a single proportion analysis with 95% CIs. Statistical analyses were performed using RStudio. RESULTS: Twenty seven studies, encompassing 1851 patients, were included in this analysis, with a population median age of 27 years. Outcomes were assessed as follows: the 10-year progression-free survival rate was 87% (323 patients; 95% CI: 73%-100%; I 2 = 89.6%), clinical deterioration occurred in 6% of cases (957 patients; 95% CI: 3%-8%; I 2 = 71.3%), clinical improvement was observed in 35% of patients (1106 patients; 95% CI: 27%-43%; I 2 = 86.6%), major complications rate was 4% (688 patients; 95% CI: 1%-6%; I 2 = 71.8%), and minor complications was 2% (653 patients; 95% CI: 0%-3%; I 2 = 68.6%). CONCLUSION: This study reveals stereotactic radiosurgery as an effective treatment of CSMs, showing high long-term progression-free survival and significant tumor control with few complications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".