Multifrequency Liver Shear Wave Absolute Vibro-Elastography with an xMATRIX Array - 2D vs. 3D Comparison Study
Bibliographic record
Abstract
Shear wave absolute vibro-elastography (S-WAVE) is a quantitative technique that can provide volumetric hepatic stiffness measurements to aid the diagnosis and monitoring of chronic liver diseases. In our previous studies, we have shown that xMATRIX based 3D S-WAVE imaging system can generate large field of view shear wave phasors, and the volumetric reconstruction results are comparable to Magnetic Resonance Elastography (MRE). In recent literature, 2D vibro-elastography techniques are still the current state-of-the-art, and no study has compared inherent performance differences between the 2D and 3D approaches in a controlled setting. In this study, we address this gap in the literature. With an updated S-WAVE imaging setup, a set of four liver tissue phantoms and five healthy subjects were imaged. 3D MRE was used as the reference method for a cross-comparison study. Our results show that the 2D reconstruction with S-WAVE phasor data showed a consistent overestimation pattern in both the phantom and in vivo dataset, resulting in a lower agreement to the MRE results when compared to the 3D reconstruction in a similar setting.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".