Contrast-Enhanced Ultrasound: What Is the Evidence and What Are the Obstacles?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Although ultrasound contrast agents (UCAs) are popular and widely used in Europe and Asia, the U.S. Food and Drug Administration (FDA) has not approved a microbubble agent for radiology imaging in the United States. Herein, we discuss the evidence for and the obstacles to using UCAs for contrast-enhanced ultrasound (CEUS). CONCLUSION: Despite the obstacles to the use of UCAs for CEUS including regulatory and practice patterns, the evidence indicates that radiologists and patients will be missing an effectual imaging option if we do not encourage the use of CEUS and strongly support the approval of UCAs by the FDA. The evidence outweighs the obstacles: CEUS is cost-effective; can be performed at the bedside; uses no ionizing radiation; has no nephrotoxicity; and, most importantly, can provide accurate diagnostic information comparable to CT and MRI.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it