Benign lichenoid keratoses with histologic features of mycosis fungoides: clinicopathologic description of a clinically significant histologic pattern
Bibliographic record
Abstract
BACKGROUND: Benign lichenoid keratosis (BLK) is a well-known clinicopathologic entity and several histopathologic patterns have been described. Features mimicking mycosis fungoides (MF) in clinically typical BLKs have not yet been emphasized. The aim of this study was to confirm the occurrence of an MF-like pattern of BLK. METHODS: A retrospective survey was conducted on cases diagnosed as BLK over a 9-month period in a regional dermatopathology service. Seven histologic parameters, previously confirmed as diagnostically suggestive of MF, were applied. Inclusion criteria were: three or more MF-related histologic features and a size less than 2 cm. The clinical features were reviewed. RESULTS: Fifteen cases of MF-pattern BLK were identified. The number of MF-like parameters present in individual cases exceeded the inclusion criteria by variable amounts. Pautrier microabscesses and alignment of lymphocytes along the basal layer were the most frequent (14/15). The age of the patients ranged from 28 to 83 years, with a mean of 50. The size of the lesions ranged from 0.2 to 1.8 cm, with a mean of 0.6 cm. The upper trunk was the favored site. Most of the lesions had been removed because of suspicion of cutaneous malignancy; basal cell carcinoma was the most frequent clinical diagnosis. CONCLUSION: We describe an MF-like histologic pattern of BLK. Pathologists and dermatopathologists should be aware of this novel histologic pattern to facilitate distinction between the two disorders.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".