Supraorbital craniotomy for large anterior skull base meningiomas: A technical note
Bibliographic record
Abstract
BACKGROUND: Supraorbital craniotomy (SOC) has brought a paradigm shift in approaching anterior skull base lesions. With better understanding of relevant anatomy, the indications are being stretched from highly selected, small-to-moderate-sized tumors to large and complex anterior skull base lesions. OBJECTIVE: We share our experience and discuss the nuances of surgery for large anterior skull base meningiomas using the SOC. METHODS: This is a single institute study using prospectively collected retrospective data from seven cases of large anterior skull base meningiomas (>3 cm) using the SOC. We reviewed the indications, safety, and procedural complications in these cases. RESULTS: Simpson's Grade 2 excision was achieved in all these seven cases, with faster postoperative recovery. Follow-up clinical outcome and cosmesis were satisfactory. CONCLUSION: SOC is a safe alternative for the standard skull base approaches in treating large anterior skull base meningiomas. The SOC can be effectively used to treat selected large anterior skull base meningiomas.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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".