Point of Care Contrast Enhanced Ultrasound Utility in the Diagnosis of a Gallbladder Perforation
Bibliographic record
Abstract
We detail the case of a 61-year-old patient with a history of metastatic ovarian cancer who presented to our emergency department (ED) with findings consistent with localized gallbladder perforation and abscess development on an outpatient computed tomography (CT) scan. The differential etiology included primary cholecystitis or infiltrative metastatic mass in the setting of known peritoneal carcinomatosis. Point of care contrast-enhanced ultrasound (CEUS) examination was performed and was able to rule out local tumor infiltration, which was later confirmed by pathology after cholecystectomy. In this case, the identification and confirmation of gallbladder perforation on imaging allowed for more conservative management with image-guided drain placement in a patient who was not an optimal surgical candidate at the time and underwent delayed cholecystectomy. This case report emphasizes the role of CEUS in providing detailed information about gallbladder wall perfusion and integrity with the potential to predict impending gallbladder perforation by demonstrating areas of gallbladder wall hypoperfusion and necrosis as well as visualizing infiltrative lesions.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".