Jugular Foramen Meningioma with Transverse and Sigmoid Sinuses Invasion and Jugular Vein Extension
Bibliographic record
Abstract
Abstract We present the case of a jugular foramen meningioma with predominantly intraluminal invasion of the transverse, sigmoid sinuses, jugular bulb, and internal jugular vein with venous occlusion in a 45-year-old woman. Magnetic resonance imaging (MRI) of the brain and conventional angiography were performed preoperatively and revealed a right-sided extra-axial dural-based mass in the jugular foramen. The surgical approach was a high cervical approach with exposure of the internal carotid artery, jugular vein, and cranial nerves IX to XII as well as a combined posterior temporo-basal and retrosigmoid craniotomy with mastoidectomy and posterior retrolabyrinthine petrosectomy. The transverse, sigmoid sinuses, jugular bulb, and superior internal jugular vein were removed en bloc, and the exophytic intradural tumor extension around cranial nerves IX, X, XI, and XII was resected subtotally. Postoperatively, the patient presented a transient right facial weakness (House-Brackmann II). MRI showed partial resection. This is the first case report of a jugular foramen meningioma with transverse and sigmoid sinuses invasion and jugular vein extension in the adult population.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".