Implanting Metal Fiducials to Guide Stereotactic Liver Radiation: McGill Experience and Review of Current Devices, Techniques and Complications
Why this work is in the frame
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Bibliographic record
Abstract
In this work we report our technique and outcomes placing percutaneous liver fiducials, summarize the literature on the risks of this procedure and present the various fiducials available today. Thirty-nine subjects, 27 males and 12 females who had received liver fiducial implants between November 2006 and September 2010 were retrospectively studied. Eighty-five gold cylinders (15%) and platinum coils (85%) were inserted under computed tomography (CT) guidance. All fiducials placed proved adequate to proceed with radiation image guidance. With one notable exception of gross migration, fiducials were inserted without serious complications. Although fiducial implantation in the liver has proven successful, the procedure does carry a variety of risks.
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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 | 0.000 |
| 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 it