Nodular fasciitis: A rapidly enlarging destructive periorbital mass in an infant
Bibliographic record
Abstract
To review the clinical and histopathological features of nodular fasciitis, a rare benign periorbital tumor that mimics orbital malignancy, by presenting a case involving an infant with marked orbital wall erosion requiring repair. A 9-month-old boy developed a rapidly growing periorbital mass concerning for a soft tissue malignancy. Computerized tomography (CT) scans showed bony erosion of the lateral orbital wall. Incisional biopsy revealed nodular fasciitis. USP6 gene rearrangement was negative. The tumor was completely excised and the underlying orbital wall defect was repaired with polydioxanone (PDS) plate. Nodular fasciitis is a benign periorbital tumor that presents like malignancies and warrants prompt investigations, especially in children. Orbital wall erosion is rare and can be repaired to yield good functional and cosmetic outcome.
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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 | 0.002 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".