Primary primitive neuroectodermal tumor of the urinary bladder: a case report
Bibliographic record
Abstract
We report a rare case of primary primitive neuroectodermal tumor (PNET) of the urinary bladder. An 85-year-old man with hormone refractory prostate cancer was presented with gross hematuria. Abdominal computed tomography showed a tumor occupying the right lateral portion and neck of the bladder wall, while a cystoscopic examination revealed a bleeding, sessile globular tumor with no papillary features. Transurethral resection of the bladder tumor was performed. Histopathological results showed a small round cell tumor forming rosettes, further positive immunoreactivities for some neural markers and MIC gene product (CD99), which indicated PNET of the bladder. Four months after surgery, PNET of the bladder recurred with rapid growth and the patient died of tumor. To our knowledge, there have been only 8 such cases reported.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".