Cutaneous Granular Cell Tumor of the Breast: A Clinical Diagnostic Pitfall
Bibliographic record
Abstract
UNLABELLED: We report the clinical-morphological study of a granular cell tumor in dermal/hypodermal junction and subcutaneous fat left breast of an 83-year-old woman with a family history of breast carcinoma. Mammography study showed a spiculated lesion in the lower inner quadrant with suspicion of malignancy. The results of fine needle puncture-aspiration were inconclusive. Subsequent tumorectomy revealed a poorly-defined indurated lesion of 1.1 x 0.7 cm. The histopathology study showed a proliferation of cells with ample and granular cytoplasm that were positive for S100, CD 68 and inhibin and negative for hormonal receptors. We present a benign lesion that clinically reproduces a breast carcinoma. KEYWORDS: Granular cell tumor; Breast; Differential diagnosis; Cutaneous.
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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 | 0.019 | 0.123 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.007 |
| 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".