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Record W4410122444 · doi:10.24908/pocusj.v10i01.18166

Point of Care Contrast Enhanced Ultrasound Utility in the Diagnosis of a Gallbladder Perforation

2025· article· en· W4410122444 on OpenAlexvenueno aff
Lauren Lu, Rebecca Leff, Tobias Kummer

Bibliographic record

VenuePOCUS Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicGallbladder and Bile Duct Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGallbladderRadiologyPerforationCholecystectomyContrast-enhanced ultrasoundGallbladder cancerAbscessUltrasoundDifferential diagnosisSurgeryPathology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.284
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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