Ruptured Middle Colic Artery Aneurysm Presenting with Symptoms of Acute Cholecystitis: A Case Report and Literature Review
Bibliographic record
Abstract
Background: Ruptured middle colic artery aneurysm is extremely uncommon. Diagnosis can be challenging, as symptomatology can be attributed to more common abdominal pathologies. Due to the rarity of this condition, only case reports are available to inform management. Case Presentation: We present the case of a 72-year-old woman with a ruptured middle colic artery aneurysm presenting with signs and symptoms more suggestive of acute calculous cholecystitis. Her co-existing bleed was confirmed on CT angiogram. Coil embolization was initially attempted unsuccessfully. She underwent laparotomy, a middle colic artery ligation, and extended right hemicolectomy with intra-aortic balloon placement for emergency proximal vascular control. Post-operatively, she had a re-bleed that was successfully managed with covered stent placement in the proximal superior mesenteric artery after an unsuccessful re-attempt at coil embolization. Her apparent associated cholecystitis was managed with antibiotics and resolved uneventfully. Conclusion: A middle colic artery aneurysm can be challenging to diagnose and treat. Management options include endovascular techniques, open surgery, or a combination approach. Intra-aortic balloon placement for emergency vascular control is a novel approach that could avoid hemorrhage when intra-abdominal vascular access is challenging.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".