Ileal neuroendocrine tumor metastasis to pancreas and liver: A case report
Bibliographic record
Abstract
Introduction: Neuroendocrine tumors (NETs) formally known as carcinoids tumors are neoplasms that arise from enterochromaffin cells. The NETs most commonly occur in the gastro-intestinal tract and predominately within the ileum. Symptomatic ileal NETs have most likely metastasized to the liver at the time of diagnosis. Pancreatic metastasis from ileal NETs are exceptionally rare. Case Report: A 76-year-old female with a primary ileal carcinoid underwent right hemi-colectomy secondary to bowel obstruction. One-year post bowel resection, the patient presented with carcinoid syndrome, imaging revealed a singular hepatic metastasis (segment 2) and a pancreatic tail mass. After radiologic workup with an abdominal CT, PET and octreotide scan a presumed diagnosis of recurrent metastatic NET was made. Multi-disciplinary rounds discussed the case. Laparoscopic distal pancreatectomy, splenectomy and radiofrequency ablation of the liver tumor were performed. Surgical pathology of the pancreatic mass was consistent with primary ileal carcinoid tumor. Conclusion: Ileal NET metastasis to the pancreas is a rare phenomenon. Metastatic NET management should be discussed with a multi-disciplinary team. R0 resection of primary and metastatic NETs offers the only chance of cure. Loco-regional, systemic therapies, and surgical debulking can offer a survival benefit in un-resectable disease or in cases where resection incurs a high perioperative risk.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".