Simulating pancreatic tissue motion to study the performance of polarimetry-based intraoperative cancer detection
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Pancreatic cancer is a leading cause of cancer-related death, and surgery remains the only curative option. Accurate intraoperative detection of tumor boundaries is thus critical. Müller Matrix Polarimetry (MMP) shows promise for distinguishing cancerous from healthy tissue, but is sensitive to tissue motion. Supporting the development of MMP-based devices, we designed a motion model that generates the pancreatic motion trajectory during open-abdomen surgery and a motion stage that executes the generated motion trajectory in 3D. The achieved 1–99th percentile range for the motion stage error is −0.193 to 0.367 mm, and −0.202 to 0.213 mm for the repeatability. The motion model and stage provide a sufficiently accurate and repeatable platform for simulating pancreatic motion, enabling evaluation of MMP-based device performance under near-realistic surgical conditions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it