Meningeal hemangiopericytoma: Case report and literature review
Bibliographic record
Abstract
Purpose: The aim of this study was to identify predictive factors of biological behaviour and patient outcome after surgical resection of meningiomas. Methodology: We retrospectively reviewed 192 cases of meningiomas who had undergone surgical resection in the Department of Neurosurgery at Toronto Western Hospital the last 5 years. Our cohort consisted of 64 males and 128 females. Clinical, radiological, and pathological records were review for data regarding: patientssex, age, tumor grade, tumor location, presence of peritumoral edema prior to surgical resection, and tumors largest diameter as a clinical measure of tumor size. All analyses were performed using IBM SPSS 20.0. Results: The incidence of peritumoral edema was significantly greater in males (45/64, 73%) than in females patients (64/128, 50.0%) (p=0.007). Meningioma location was significantly associated with presence of edema (p<0.001); olfactory meningiomas showed the greatest incidence of edema (71.4%) followed by convexity meningiomas (60.5%), abd sphenoid wing meningiomas (72.2%) (p<0.001). Tumors with larger extrameatal diameters (4.3cm vs. 3.5cm) were more likely to have peritumoral edema (p=0.001). The presence of residual tumor after surgical resection was more likely in meningiomas with higher grades p<0.001. Also, as expected, the grade of tumor was significantly correlated with the incidence of recurrence. Recurrence was also found to be more common in men (15.6%) than in women (4.7%) (p=0.01). Conclusion: The present study demonstrates that specific radiologic and histopathologic characteristics are significant predictors of tumor recurrence and patient outcome.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".