Robotic D3 Partial Duodenal Resection with Primary Side-to-Side Anastomosis
Bibliographic record
Abstract
Duodenal stenosis is a condition that can be related to several diseases, being either intrinsic, such as neoplasm and inflammatory stenosis, or extrinsic, such as pancreatic pseudocyst, superior mesenteric artery syndrome, and foreign bodies. Current treatments range from endoscopic approaches, such as endoscopic resection and stent placement, to surgical approaches, including duodenal resection, pancreaticoduodenectomy, and gastrointestinal bypass. Minimally invasive robot-assisted surgery is gaining importance due to its potential to decrease surgical stress, intraoperative blood loss, and postoperative pain, while its instruments and 3D-vision facilitate fine dissection and intra-abdominal suturing, all leading to a reduced time to functional recovery and shorter hospital stay. We present a case of a 75-year-old female who underwent robotic D3 partial duodenal resection with primary side-to-side duodeno-jejunal anastomosis for a 5 cm adenoma with focal high-grade dysplasia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".