Incidental Autopsy Finding of Intraosseous Dermoid Cyst With Craniosynostosis
Bibliographic record
Abstract
ABSTRACT: Dermoid cysts are benign developmental anomalies that are typically cutaneous and occur along lines of embryonic closure. Rarely, intraosseous dermoid cysts can occur in the pediatric population. This report presents an incidental finding of an intraosseous dermoid cyst found during autopsy in the frontal bone of a 3-year-old female patient who died by drowning. The cyst measured 1.2 × 0.7 × 0.6 cm and was located along the sagittal suture. Histopathologic examination of the cyst revealed keratinized stratified squamous epithelium alongside sebaceous glands and hair follicles, confirming the diagnosis of dermoid cyst. Premature closure of all cranial sutures, or craniosynostosis, was also noted. This unique combination of findings may indicate an etiological connection, which may warrant further research. Furthermore, this report provides rare photographs while most intraosseous dermoid cysts are only captured via radiography. From a forensic pathology perspective, incidental findings like these can provide critical insights into congenital anomalies that may impact the family, future research, or medicolegal conclusions, highlighting the broader relevance of thorough autopsies. Moreover, incidental findings such as this case contribute to the growing need for forensic guidelines on how to manage and document unexpected discoveries during investigations.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".