Combined transurethral and laparoscopic partial cystectomy for the treatment of bladder endometriosis
Bibliographic record
Abstract
We present a case of a 22-year-old nulliparous woman, initially investigated by a urologist after she presented with a history of urinary tract symptoms including catamenial hematuria and suprapubic pain. Ultrasonographic and cystoscopic findings suggested a bladder mass suspicious for endometriosis. Further MRI revealed a 3 X 4 cm mass in the bladder, and the diagnosis of endometriosis was confirmed by the biopsy. Consequently, the patient was offered treatment options including combined laparoscopic and transurethral resection of the bladder lesion for definitive diagnosis and treatment. Using a combination of hydrodissection and CO2 laser energy laparoscopically and monopolar electro-surgery cystoscopically, the lesion was resected uneventfully and the bladder defect was repaired laparoscopically. The patient was discharged on the same day with a Foley catheter, which was removed 10 days later. After 8 weeks follow up period, she remained free of symptoms. Histopathology confirmed endometriosis. We conclude that this combined approach is feasible, safe and effective therapy for intramural bladder endometriosis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".