Contrast-enhanced ultrasound for differentiation of gallbladder sludge from polyp: A case report demonstrating clinical utility
Bibliographic record
Abstract
Gallbladder lesion characterization remains a common diagnostic dilemma in abdominal imaging, particularly when differentiating between polyps and organized sludge. Findings on conventional gray-scale ultrasound may be equivocal, especially when typical imaging features such as mobility are absent. We present a case of a 65-year-old patient who presented with a concerning nonmobile 3.7 cm gallbladder lesion on initial ultrasound assessment. Due to the superior sensitivity of contrast-enhanced ultrasound (CEUS) for blood flow compared to other imaging modalities, CEUS was able to demonstrate complete absence of enhancement within the lesion, consistent with tumefactive sludge rather than solid tissue, and averting the need for additional cross-sectional imaging. Surgical pathology following cholecystectomy confirmed these findings. This case highlights the utility of CEUS as a valuable tool in gallbladder imaging, potentially reducing healthcare costs and expediting appropriate patient care while avoiding the risks associated with other contrast-enhanced imaging modalities.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".