Periapical Cyst and Odontogenic Remnants on Osseous Mandibulectomy Margins: Two Diagnostic Pitfalls
Bibliographic record
Abstract
In this article, we describe 2 high-stake diagnostic pitfalls that occurred in a single patient having undergone partial glossectomy and marginal mandibulectomy for invasive squamous cell carcinoma. Margins were grossly uninvolved. Histopathology showed a moderately differentiated squamous cell carcinoma. Microscopic evaluation of margins was challenging, as the inferior osseous margin submitted en face showed spongiotic epithelium with mixed chronic and acute inflammation, representing a periapical cyst after correlation with the gross examination. Another section of the osseous margin showed a small non-atypical epithelial nest, consistent with an odontogenic epithelial rest. We wish to raise awareness of these diagnostic pitfalls as a bone margin with such epithelial foci could be misinterpreted as positive, with serious therapeutic consequences.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".