P.068 Malignant transformation of a spinal dermoid cyst into carcinosarcoma
Bibliographic record
Abstract
Background: Spinal dermoid cysts are uncommon, benign tumours of ectodermal origin, often associated with spinal dysraphism. Malignant transformation of spinal dermoid cysts is an exceptionally rare entity, with transformation into carcinosarcoma not previously reported. Methods: Case report and literature review Results: A 41-year-old male presented with a recurrent lumbar intradural mass, 28 years after resection of a dermal sinus tract and associated dermoid cyst. Intraoperative appearance and subsequent pathology were again consistent with a dermoid cyst. The patient re-presented 2 weeks after surgery with diplopia and headache due to hydrocephalus, thought to be due to chemical meningitis. Following ventriculoperitoneal shunt implantation, the patient rapidly deteriorated with progressive neurologic deficits and widespread leptomeningeal enhancement. A repeat spinal leptomeningeal biopsy was pursued, which revealed malignant transformation of the dermoid cyst into invasive carcinosarcoma. Without curative treatment options, the patient was palliated and died 85 days after admission. Conclusions: Malignant transformation of spinal dermoid cysts should be considered in the differential diagnosis of patients with dermoid cysts and progressive leptomeningeal enhancement. False negatives can occur with initial tumour pathology and repeat sampling may be warranted for diagnostic clarity. To the authors knowledge, this is the first report of a spinal dermoid cyst with malignant transformation into carcinosarcoma.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.006 | 0.003 |
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".