Pancreatic-Type Mixed Acinar Neuroendocrine Carcinoma Arising in the Common Bile Duct: A Case Report
Bibliographic record
Abstract
Abstract Mixed acinar neuroendocrine carcinoma (MAcNEC) of pancreatic type arising in an extrapancreatic location is extremely rare. We present a case of a 70-year-old woman with constipation, abdominal discomfort, and jaundice. Imaging studies revealed a 1.8-cm solid mass in the common bile duct causing dilatation of intrahepatic and extrahepatic bile ducts, which was resected. Microscopically, the tumor was limited to the wall of the bile duct, without involvement of the pancreas, and was composed of solid sheets and nests of relatively monomorphic cells with minimal to moderate amounts of cytoplasm, granular chromatin, focally prominent nucleoli, and up to 160 mitoses per 10 high-power fields. Immunohistochemistry showed equal to or greater than 30% positivity for synaptophysin, chromogranin, chymotrypsin, and trypsin. A diagnosis of MAcNEC was rendered. Immunohistochemistry plays a pivotal role in the identification of these tumors and discrimination from other related entities, neuroendocrine neoplasms in particular. Because pancreatic heterotopia has been described in the common bile duct, we postulate that this case of MAcNEC in the common bile duct, the first to be reported in the literature, may have arisen via malignant transformation of pancreatic heterotopia.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| 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".