Mucinous Cystic Neoplasms in Male Patients: Histopathological and Molecular Diagnoses
Bibliographic record
Abstract
Cystic mucinous neoplasms (MCNs) of the pancreas are rare cystic tumors, accounting for approximately 2-5% of all pancreatic neoplasms. They predominantly occur in premenopausal women and are typically located in the body or tail of the pancreas. Due to their potential for malignant transformation, especially in cases associated with invasive carcinoma such as pancreatic ductal adenocarcinoma, early detection, complete surgical resection, and rigorous postoperative surveillance are essential. The occurrence of MCNs in male patients is exceedingly rare, comprising only about 2% of reported cases, and often resulting in preoperative diagnostic challenges. Molecular analyses have identified a strong association between KRAS mutations and disease progression in MCNs, underscoring their potential role as prognostic markers despite limited diagnostic utility. In this report, we present two additional cases of MCNs in male patients, highlighting their histopathological features and the ancillary investigations undertaken to support diagnosis.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".