MS-15 * THE IMPACT OF HISTOPATHOLOGIC AND RADIOLOGIC CHARACTERISTICS IN CLINICAL OUTCOME OF PATIENTS WHO UNDERWENT SURGERY FOR INTRACRANIAL MENINGIOMAS
Bibliographic record
Abstract
INTRODUCTION: Meningiomas are common intracranial neoplasms with variability in their clinical presentation, biological behavior and response to treatment. PURPOSE: The aim of this study was to identify factors that predict the biological behaviour of meningiomas and patients' postsurgical outcome. METHODOLOGY: We retrospectively reviewed 415 meningiomas cases who had undergone surgical resection at Toronto Western Hospital between January 2007 to June 2013. Our cohort consisted of 162 males and 253 females. We reviewed clinical, radiological, and pathological reports, and collected the following data for statistical analysis: patients' sex, age, tumor grade-location, presence of peritumoral edema prior to surgical resection, tumors' largest diameter as a clinical measure of tumor size and history of radiation. All analyses were performed using IBM SPSS 20.0. RESULTS: The incidence of peritumoral edema was significantly higher in males (75%) than in females patients (52%) (p = 0.007). Meningioma location was associated with presence of edema (p < 0.001): olfactory meningiomas showed the highest incidence of edema (71.4%) followed by convexity meningiomas (62%), and sphenoid wing meningiomas (72%) (p < 0.001). Tumors with larger diameters (4.3cm vs. 3.5cm) were likely to have peritumoral edema (p = 0.001). The history of radiation was significantly correlated with peritumoral brain edema (76.4%, p = 0.003). The presence of residual tumor after surgical resection was more likely in meningiomas with higher grades; residual tumor was most common in grade III meningioma (75%) followed by grade II (29.3%), and grade I (17.7%) (p = 0.008). In radiation induced meningiomas the incidence of residual was 41.1%. Also, the grade of tumor was significantly correlated with the incidence of recurrence; grade III meningiomas showed the highest incidence of recurrence (50%) followed by grade II (19.5%) and grade I (4.1%) (p < 0.001). CONCLUSION: The present study demonstrates that specific demographic, radiologic, and pathologic characteristics are significant predictors of tumor response to therapy, tumor recurrence and overall patient outcome.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".