Laparoscopic Pancreatoduodenectomy With Modified Blumgart Pancreaticojejunostomy
Bibliographic record
Abstract
Minimally invasive pancreatic resections are technically demanding but rapidly increasing in popularity. In contrast to laparoscopic distal pancreatectomy, laparoscopic pancreatoduodenectomy (LPD) has not yet obtained wide acceptance, probably due to technical challenges, especially regarding the pancreatic anastomosis. The study describes and demonstrates all steps of LPD, including the modified Blumgart pancreaticojejunostomy. Indications for LPD are all pancreatic and peri-ampullary tumors without vascular involvement. Relative contra-indications are body mass index >35 kg/m2, chronic pancreatitis, mid-cholangiocarcinomas and large duodenal cancers. The patient is in French position, 6 trocars are placed, and dissection is performed using an (articulating) sealing device. A modified Blumgart end-to-side pancreaticojejunostomy is performed with 4 large needles (3/0) barbed trans-pancreatic sutures and 4 to 6 duct-to-mucosa sutures using 5/0 absorbable multifilament combined with a 12 cm, 6 or 8 Fr internal stent using 3D laparoscopy. Two surgical drains are placed alongside the pancreaticojejunostomy. The described technique for LPD including a modified Blumgart pancreatico-jejunostomy is well standardized, and its merits are currently studied in the randomized controlled multicenter trial. This complex operation should be performed at high-volume centers where surgeons have extensive experience in both open pancreatic surgery and advanced laparoscopic gastro-intestinal surgery.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".