Dissecting Pseudoaneurysm of the Proper Hepatic Artery Repaired by Primary Anastomosis: A Case Report
Bibliographic record
Abstract
Background. Although rare, visceral artery pseudoaneurysms often present as surgical emergencies with a specific mortality rate as high as 35% related to aneurysmal rupture. Risk factors for the development of iatrogenic pseudoaneurysms include anticoagulation, female gender, obesity, and vessel calcification. Case Report. We present a case of an elderly female who developed a dissecting pseudoaneurysm of the proper hepatic artery after undergoing routine surgery to resect a large duodenal adenoma. Surgical repair comprised of resection and primary anastomosis was employed resulting in a favourable outcome. Discussion/Conclusion. Surgical management reduces the risk of hepatic ischemia, biliary complications, and abscess formation. Although stenting, coil embolization, and thrombin injection are all plausible options for management, we propose that surgical reconstruction be considered seriously as a treatment for such spontaneous pseudoaneurysms.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".