Nodular fasciitis of the head and neck region: a clinicopathologic description in a series of 30 cases
Bibliographic record
Abstract
Nodular fasciitis (NF) is a reactive lesion composed of fibroblasts/myofibroblasts and most commonly found in extremities and trunk. NF has been described in the head and neck region (HNR) in 13-20% of cases. It is our impression based on consultation experience that many pathologists do not consider NF in the differential diagnosis of soft tissue masses arising in the HNR. Moreover, it is common for these lesions to be incompletely excised, leading to additional challenges in diagnosis. We describe 30 cases of NF of the HNR in order to focus attention on this frequently overlooked diagnosis. While they had the typical histologic features of NF, the lesions had a tendency for smaller size, increased skeletal muscle involvement (30%) compared to fasciitis elsewhere in the body and diffuse and strong actin expression. Follow up demonstrated one recurrence (7.1%) higher than reported elsewhere in the body. These latter features may add to the challenge in diagnosing NF in these locations.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| 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".