Case series – Prioritizing bladder-sparing treatments in patients with urinary tract leiomyoma: A report of three cases and updated literature review
Bibliographic record
Abstract
Urinary tract leiomyomas are rare, benign mesenchymal tumors that are traditionally treated with complete surgical excision. We present three cases of urinary tract leiomyoma - two located in the bladder and one in the ureter. Both bladder leiomyomas were treated with transurethral resection of bladder tumor (TURBT) with no evidence of recurrent disease, while the upper tract leiomyoma was managed with surveillance by patient preference, which to our knowledge, has not been previously described. The ureteral leiomyoma has remained stable at five years followup from initial diagnosis. Given the benign nature of leiomyomas and the overall low recurrence rate reported in the literature, bladder-sparing options should be emphasized when feasible, with active surveillance potentially applicable for highly select patients.
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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 | 0.001 |
| 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".