Imaging of Small Bowel Obstruction following Gastric Bypass Surgery for Morbid Obesity: A retrospective review.
Bibliographic record
Abstract
OBJECTIVES: This study is a single institution retrospective evaluation of imaging findings of small bowel obstruction (SBO) after retrocolic antegastric Roux-en-Y gastric bypass surgery for morbid obesity. METHODS: The radiological database of 490 patients who underwent gastric bypass surgery for morbid obesity from January 2001-2005 at the Royal Victoria Hospital McGill University Health Center was searched for SBO complications related to the procedure. There were 22 cases of small bowel obstruction related to the procedure. Ten patients had abdominal and pelvic computed tomography (CT) scans, 12 patients had upper gastrointestinal (UGI) and small bowel follow through (SBFT). RESULTS: Among 22 cases of SBO, 14 cases were due to anastomotic stenosis or adhesion, 7 due to internal hernia and one to jejuno-jejunal intussusception. Among the 14 patients with SBO related to adhesion and anastomotic narrowing, 11 patients were managed medically and 3 cases managed surgically. CT scans correctly diagnosed 4 out of 5 cases including the 3 patients managed surgically and UGI and SBFT examinations diagnosed the remaining 9 cases that were managed medically. Among the 7 patients with internal hernias, CT scans correctly diagnosed 2 out of 4 cases, while UGI and SBFT examinations correctly diagnosed 1 out of 3. The jejuno-jejunal intussusception was correctly diagnosed by CT scan. CONCLUSION: The most frequent cause of SBO is anastomotic narrowing or adhesion. CT scan remains the most appropriate imaging modality in diagnosing acute presentation of SBO caused by internal hernia or adhesion/anastomotic narrowing. UGI and SBFT appear more appropriate for diagnosing the subacute insidious presentation of adhesive partial SBO.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".