Primary Retroperitoneal Mucinous Cystadenocarcinoma in a Male Patient: A Case Report
Bibliographic record
Abstract
Primary retroperitoneal mucinous cystadenocarcinoma (PRMC) is an uncommon malignant neoplasm with few reported cases, particularly among male patients. Currently, only nine documented cases have been reported worldwide, including the present case. The present case report describes the incidental detection of PRMC in an 86-year-old male patient. Despite being offered surgical intervention, the patient initially opted against treatment. Consequently, follow-up imaging examinations were performed for 3 subsequent years. The tumor, initially measuring 31 × 32 × 31 mm, gradually increased to 58 × 60 × 59 mm. Subsequently, the patient underwent laparoscopic retroperitoneal tumor resection. Histopathological examination revealed adenocarcinoma characterized by intestinal differentiation. The patient has exhibited no evidence of disease for 1 year postoperatively. The present case is noteworthy, as this disease rarely occurs in men, thereby offering significant potential for educational and scientific contributions. Notably, the patient's age, longitudinal observation of tumor progression through imaging over a period of 3 years, and complete surgical excision of the tumor are salient features of this case. These findings may prove useful in the diagnosis and treatment strategy for male patients with PRMC.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".