Urinary bladder melanosis associated with urothelial dysplasia and invasive urothelial carcinoma: a report of two cases.
Bibliographic record
Abstract
BACKGROUND: Melanosis is defined as an abnormal or excessive deposition of melanin within cells and/or tissues. It typically presents as a cutaneous or buccal mucosal lesion, but rare cases of bladder melanosis have also been documented. Melanosis of the urinary bladder is typically considered a benign condition, but it has also been described in association with malignant melanoma and urothelial carcinoma. CASES: We report the cases of 2 patients who presented with melanosis of the urinary bladder. One patient presented with melanosis of the urinary bladder together with urothelial dysplasia. Melanosis was incidentally identified during a cystoscopy for ureteral stones. A second patient presented with hematuria and was found to have a muscle invasive urothelial carcinoma with focal small nested morphology together with melanosis. We also present a literature review of the bladder melanosis and an overview of other bladder melanocytic lesions, which include primary and metastatic melanoma and blue nevus. CONCLUSION: Initial evaluation for bladder melanosis should include cystoscopy and upper urinary tract imaging. Biopsy is essential to establish the diagnosis and rule out associated malignancy.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.009 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".