The Clinical Management of Main Duct Intraductal Papillary Mucinous Neoplasm of the Pancreas
Bibliographic record
Abstract
BACKGROUND: Intraductal papillary mucinous neoplasms (IPMNs) of the pancreas comprise a heterogeneous group of intraductal mucin-producing neoplasms representing a typical adenoma-to-carcinoma sequence. The involvement of the main pancreatic duct (MPD) is a feature of paramount importance, directly related to a more aggressive biology and a higher malignancy rate. METHOD: We review and discuss the clinical management of IPMNs with a MPD involvement, recalling the different consensus guidelines and addressing recent controversies in literature, presenting the current clinical practice in Verona Pancreas Institute. RESULTS: All the aspects of surgical management were discussed, from the indication for surgery to the intraoperative management and the follow-up strategies. CONCLUSION: The management of presumed IPMNs involving the MPD at our Institution is in line with the International Association of Pancreatology 2012 guidelines, revised in 2016. Surgical resection proposed should achieve the complete removal of the tumor with negative margins. Despite a good prognosis in terms of survival of overall resected main duct intraductal papillary mucinous neoplasms, follow-up should not be discontinued.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".