Why are recurrent cervical cancers of the pelvic stump misdiagnosed as interstitial cystitis?: The urologist’s point of view based on a case report
Bibliographic record
Abstract
A 50-year-old female who had undergone laparoscopic total hysterectomy at a local clinic owing to leiomyoma of the uterus was referred to our hospital after having dysuria, urgency, frequency, lower abdominal pain and right flank pain over several months. After routine examinations, cystoscopy, computed tomography and magnetic resonance imaging were performed, and non-ulcerative interstitial cystitis accompanied by postoperative fibrosis secondary to a previous surgery was suggested. Pentosan sulfuric polyester (Elmiron, Alza Pharmaceuticals, Mountain View, CA) reduced her severely debilitating symptoms and improved her quality of life. Both the hydronephrosis and the symptoms were relieved by ureteral stent insertion and percutaneous nephrostomy. However, a few days later, she presented with vaginal bleeding along with her previous symptoms, and punch biopsy of the vaginal stump resulted in a diagnosis of adenocarcinoma. Both ureterocutaneostomy with radical cystectomy and lower anterior resection for rectum invasion were conducted. After the slide review of the original specimen from the local clinic, she was diagnosed with recurrent cervical cancer of the vaginal stump.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.008 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".