A method of eliminating streak artifacts from metallic dental restorations in CTs of head and neck cancer patients
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Bibliographic record
Abstract
The purpose of this report was to develop a method to reduce streak artifacts derived from dental restorations in CT-imaging of the head and neck region. We selected six patients who were being treated for head and neck cancer and who had metal-derived artifacts on their CT that limited pre- or post-surgical visualization. The metal restorations were removed and replaced with non-metallic composite resin restorations. The CT was repeated as required on completion of the procedures. The streak artifacts were completely eliminated in patients in whom radiolucent composite materials were used. Patients have been followed for 6-26 months with no complications or breakdown of the restorations. The substitution of radiolucent for metallic restorations in special cases should be considered as a solution to CT dental artifact problems.
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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