Case Report: Diagnosis of a Rare Plaque-Like Dermal Fibroma Successfully Treated With Mohs Surgery
Bibliographic record
Abstract
BACKGROUND: CD34-positive plaque-like dermal fibroma (PDF) is a poorly characterised benign dermal neoplasm that has a wide differential diagnosis. It can be mistaken for other entities on superficial biopsy and be overtreated, leading to unnecessary worry and extensive surgery. OBJECTIVE: To report on an uncommon presentation of this entity, the histopathologic differential diagnosis of PDF, and a novel treatment method. METHODS: Clinical and histopathological information was obtained for a PDF lesion on a 75-year-old man. RESULTS: On superficial biopsy, the PDF lesion was misinterpreted as a possible neurothekeoma. Successful Mohs surgery and genetic testing confirmed the diagnosis of PDF, and the patient received appropriate tissue-sparing surgical management. CONCLUSION: This case adds to our current knowledge about PDF and highlights the importance of early recognition of these lesions to direct appropriate diagnostic testing (full-thickness biopsy) and management. This case confirms successful management with Mohs surgery.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.008 | 0.004 |
| 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".