Atypical squamous cells in the urine revealing endometrioid adenocarcinoma of the endometrium with squamous cell differentiation: A case report
Bibliographic record
Abstract
Urine cytology is mainly used to detect urothelial carcinoma (UC), especially for high-grade lesions including urothelial carcinoma in situ. Benign squamous cells are often seen in the urine specimens of women, they are either exfoliated from the trigone area of the bladder, the urethra, or the cervicovaginal region. However, abnormal squamous cells in the urine raise concerns of abnormalities of the urinary tract and cervicovaginal area which range from squamous metaplasia of the urothelium, a cervicovaginal squamous intraepithelial lesion, condyloma acuminatum of the bladder, UC with squamous differentiation, and squamous cell carcinoma. We present here a unique case of atypical squamous cells (ASCs) in the urine subsequently leading to the diagnosis of endometrioid adenocarcinoma of the endometrium with squamous differentiation. The presence of ASCs in voided urine is a rare finding that may indicate an underlying malignancy. Careful evaluation of squamous cells in the urine is an important part of our daily cytopathology practice.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".