Cutaneous reactive angiomatosis occurring in erythema ab igne can cause atypia in endothelial cells: Potential mimic of malignant vascular neoplasm
Bibliographic record
Abstract
Erythema ab igne (EAI), an old and rare disease, is an erythematous, often pigmented, reticular, macular dermatosis that occurs at the site of repeated exposure to moderate heat. Reported herein is an unusual case of EAI occurring in a 33-year-old woman with a very broad lesion of reticular erythema and pigmentation on the lower extremities. The patient frequently put her lower extremities close to a heater in the wintertime to alleviate chill. The lesion started a decade ago, and it gradually became conspicuous. Microscopic findings showed a proliferation of small blood vessels in a thickened papillary dermis, not as typical as seen in EAI, but as seen in cutaneous reactive angiomatosis. They were arranged as small lobules and associated with hyalinization, edema and delicate fibroplasia. Many vessels were lined by plump endothelial cells, some of which had enlarged hyperchromatic nuclei. Many of these cells were multinucleated. Similar-appearing cells were associated with concentric foci of hyalinization without vascular lumina. A few atypical mitoses were observed. The lesion became much less conspicuous after the patient started avoiding close exposure to a heater, without any other special treatments. The aforementioned changes may be confused with malignant vascular neoplasm because of unusual cytological atypia and atypical mitoses in the endothelial cells.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".