Focal Hepatic Masses: Enhancement Patterns with SH U 508A and Pulse-Inversion US
Bibliographic record
Abstract
PURPOSE: To evaluate the role of SH U 508A-enhanced ultrasonography (US) in the differentiation of focal hepatic masses. MATERIALS AND METHODS: Contrast material-enhanced pulse inversion US was performed on 58 unknown hepatic lesions: 23 hepatocellular carcinomas, 10 focal nodular hyperplasias, 16 hemangiomas, and nine metastases. Selected images were sequentially reviewed by readers blinded to the final diagnosis. On a baseline image, they determined lesion echogenicity, and on a vascular image, the presence or absence of distinct vascularity. On an arterial phase interval-delay flash image and a postvascular image, they assessed enhancement of the lesion and liver. Responses were compared with confirmed diagnoses. RESULTS: Focal nodular hyperplasia was characterized by detectable vascularity and positive enhancement on interval-delay and postvascular scans (sensitivity, 83% [eight of 10 lesions]; specificity, 98% [40 of 41 lesions]). Hepatocellular carcinoma also showed detectable vascularity and positive enhancement on interval-delay images but no postvascular enhancement (sensitivity, 68% [14 of 20 lesions]; specificity, 74% [23 of 31 lesions]). Vascular imaging with SH U 508A did not contribute to the diagnosis of metastasis or hemangioma. However, no or weak enhancement during the arterial phase flash without postvascular enhancement produced a sensitivity of 83% (seven of eight lesions) and sensitivity of 77% (33 of 43 lesions) for metastasis. Peripheral nodular enhancement on arterial phase flash images was highly specific (98% [37 of 38 lesions]) but not sensitive (44% [six of 13 lesions]) for hemangioma. CONCLUSION: SH U 508A-enhanced pulse-inversion interval-delay flash and postvascular phase imaging are helpful in differential diagnosis of focal hepatic lesions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".