Primary Osteosarcoma of the Skull Base Treated with Endoscopic Endonasal Approach: A Case Report and Literature Review
Bibliographic record
Abstract
Introduction Giant cell-rich osteosarcoma (GCRO) is a rare pathologic diagnosis, and most cases have involved the appendicular skeleton. We present a challenging diagnosis of GCRO of the skull base treated with an endoscopic endonasal approach. Case Presentation An 18-year-old female patient presented with acute monocular visual loss. Imaging revealed a large clival mass encasing the internal carotid arteries bilaterally with pituitary and optic nerve compression. The lesion was resected via a staged endoscopic endonasal approach and the patient's vision normalized postoperatively. The final pathological diagnosis was challenging and, after consultation with multiple North American centers, was concluded as GCRO. The tumor recurred and further surgery was performed, followed by adjuvant chemoradiation. Conclusion We highlight diagnostic challenges of GCRO of the skull base, and describe, with intraoperative pictures, successful surgical resection via an endoscopic endonasal approach. Based on our literature review, this is the first published case report of GCRO of the skull base.
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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 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".