Identifying malignant and benign breast lesions using vibroelastography
Bibliographic record
Abstract
Vibroelastography is a technique to measure tissue elasticity using a multi-frequency shear wave approach. The method uses ultrasound to image dynamic deformation of soft tissue while an actuator applies surface vibrations. In this paper we evaluate vibroelastography for the first time in differentiating between malignant and benign breast lesions. A dataset of 20 lesions, including fibroadenoma and invasive ductal carcinoma (IDC) lesions was analysed. Ultrasound radio-frequency data were captured while the breast tissue was vibrated with a snap-on actuator at multiple frequencies at an amplitude of less than 100 microns. After the VE exam, the subjects underwent core-needle biopsy. The pathology report was used as the ground truth to validate the VE result. The VE results indicate that both benign fibroadenoma and IDC result in hardening of the tissue; however, IDC lesions exhibits higher values of elasticity compared to benign masses which can be captured using absolute and relative elasticity maps provided by VE.
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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) | 0.000 | 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".