Primary Marginal Zone Lymphoma of the Subcutis Associated With Panniculitis and Fat Necrosis
Bibliographic record
Abstract
OBJECTIVES: Lymphocytic infiltrates in the subcutaneous adipose tissue, often accompanied by fat necrosis, are typically seen in benign panniculitis. Diagnostic considerations include subcutaneous panniculitis-like T-cell lymphoma and cutaneous γδ T-cell lymphoma, whereas a primary subcutaneous B-cell lymphoma in this setting has not been previously described. METHODS: We report the case of a 72-year-old woman with multiple deep cutaneous nodules on the trunk and upper extremities. RESULTS: During 3 years of clinical follow-up, new skin nodules developed, while existing lesions remained stable or regressed. No other organ involvement was detected. Sequential biopsy specimens of the subcutaneous lesions revealed patchy, predominantly septal, lymphocytic infiltrates associated with extensive hyaline fat necrosis. The histologic and immunophenotypic features were consistent with marginal zone lymphoma. Genotyping revealed an identical monoclonal immunoglobulin gene rearrangement across all biopsy specimens. CONCLUSIONS: This case represents, to our knowledge, the first reported case of primary subcutaneous B-cell lymphoma closely associated with panniculitis.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".