Isolated Peritoneal Metastasis of Prostate Cancer Presenting with Massive Ascites: A Case Report
Bibliographic record
Abstract
The peritoneal carcinomatosis of prostate cancer without bone or other visceral organ involvement is extremely rare. We report a case of an isolated peritoneal metastasis of prostate cancer in a patient without other metastatic sites and a history of prostate surgery. A 63-year-old male with locally advanced prostate cancer without known distant metastasis on androgen deprivation therapy presented with abdominal distension that had persisted for a month. Abdominopelvic computed tomography (CT) showed gastric wall thickening and a moderate amount of ascites. The gastroscopy showed hyperemic mucosal patches on the antrum body. A cytological examination of the ascites fluid was negative for malignant cells. Diagnostic laparoscopy showed multiple nodules in the peritoneum. A biopsy was performed. Histological findings were compatible with metastatic carcinoma of the prostate, which was immunohistochemically positive for pan-cytokeratin, the androgen receptor, and prostate-specific antigen (PSA). The patient was then treated with abiraterone acetate. After 1 month of treatment, both ascites and the PSA value decreased. We describe an extremely rare case of isolated peritoneal carcinomatosis from prostate cancer without any organ metastasis or history of surgery. Clinicians should be aware of these very rare metastases of prostate cancer. Hormonal therapy may be helpful for such cases.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".