Anatomic Feasibility of Percutaneous Cholecystoenteric Fistula Creation and Stent Insertion in Acute Cholecystitis
Bibliographic record
Abstract
OBJECTIVE: To assess the prevalence of patients whose anatomy would be potentially amenable to percutaneous cholecystoenteric lumen-apposing metallic stents (LAMS) insertion from a population of acute cholecystitis patients. METHODS: Contrast-enhanced abdominal computed tomography images in 100 consecutive adult patients with acute cholecystitis were reviewed retrospectively. Feasibility of LAMS placement percutaneously or with endoscopic ultrasound guidance was defined as the presence of a straight and unobstructed trajectory from the skin to the gallbladder, and between the gallbladder and the gastric antrum, or the proximal duodenum, measuring ≤2 cm, respectively. RESULTS: The gallbladder was within 2 cm of the gastric antrum or proximal duodenum without intervening structures in 95 of 100 patients (95%). Percutaneous LAMS appeared anatomically feasible in 90 of 100 patients (90%). Mean ± SD shortest inner-inner wall distance between the gallbladder and the adjacent proximal gastrointestinal tract was 1.20 ± 0.43 cm. The closest location for percutaneous LAMS was between the gallbladder and duodenum in 87 of the feasible cases (97%). The percutaneous approach was transhepatic in 89.5%, and extrahepatic in 10.5%. Endoscopic ultrasound-guided LAMS appeared feasible in 95 of 100 patients, including 5 of the 10 percutaneously unfeasible cases. The other 5 patients appeared unfeasible due to colonic interposition or other intervening structures. CONCLUSIONS: LAMS appeared anatomically feasible percutaneously in 90% of acute cholecystitis patients. The shortest and most direct path for percutaneous LAMS was transhepatic and cholecystoduodenal. Percutaneously placed LAMS may be an attractive alternative to percutaneous cholecystostomy.
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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 | 0.009 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".