Clinicopathological features and surgical outcomes of resected functional pancreatic neuroendocrine tumors: a single institution experience
Bibliographic record
Abstract
Abstract Background: Functional pancreatic neuroendocrine tumors (f-PanNETs) are rare tumors of the pancreas that are associated with excess hormone production. A majority of literature available on these tumors is limited to case reports and small series and discusses a particular subtype. Here, we report the clinicopathological features and outcomes of all f-PanNETs from a high-volume pancreatectomy center. Methods: A prospectively maintained database was used to identify patients who underwent resection for f-PanNETs between January 1995 and December 2015. Patients were stratified by the type of f-PanNET, and their clinicopathological features and outcomes were analyzed and reported. Results: We identified 69 patients with a mean age of 52 ± 16 years, and the majority were female (62%). The most common type of f-PanNET were insulinomas (70%) followed by gastrinomas (15%), and vasoactive intestinal peptidomas (VIPomas) (10%). There was considerable heterogeneity in the presenting symptoms. Patients with insulinomas presented with smaller tumors compared to the other subtypes. Nodal disease was most frequent in patients with VIPomas (71%), and gastrinomas (50%). The median overall survival (OS) was 7.4 years. Elevated Ki-67 and age >65 years were associated with poorer OS. Recurrence was observed in 8 patients (12%) and was most frequent in patients with VIPomas. Recurrence was associated with a poorer OS ( P = .012). Conclusion: f-PanNETs are exceedingly rare and present with a wide variety of symptoms, histopathological findings, and outcomes. Surgical resection can help achieve good long-term survival.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".