Bipartite Atlas With Os Odontoideum and Synovial Cyst
Bibliographic record
Abstract
In Brief Study Design. Case report and review of the literature. Objective. To present an os odontoideum with bipartite atlas and synovial cyst at the C1–C2 junction in a 13-year-old girl and to review the relevant background literature. Summary of Background Data. Bipartite atlas associated with os odontoideum and synovial cyst at the C1–C2 junction is extremely rare. Methods. The patient's clinical presentation, evolution of physical findings, and sequential radiologic studies. Surgery of the bipartite atlas with os odontoideum and synovial cyst. Posterior fixation between occipital and C 2 without resection of the mass was performed. Results. The patient had significant improvement and spontaneous regression of the cyst was identified on the follow-up magnetic resonance imaging (MRI) taken 3 months after posterior fixation. To our knowledge, no case of a bipartite atlas with os odontoideum and synovial cyst with complete recovery of an accompanying quadriparesis after reduction has been previously reported in English medical literature. Conclusion. We described a rare association of an anterior arch defect, posterior arch aplasia, os odontoideum, and synovial cyst at the C1–C2 junction. This case report supports surgical intervention of synovial cyst with craniovertebral instability using posterior fixation without resection of the cyst. We reported a rare association of an anterior arch defect, posterior arch aplasia, os odontoideum, and synovial cyst at the C1–C2 junction in a 13-year-old girl who complete recovery of an accompanying quadriplegia after posterior reduction without resection of the cyst.
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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 | 0.002 | 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) | 0.004 | 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".