The role of 18F-FDG-PET/CT in initial staging and re-staging of head and neck cancer
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Bibliographic record
Abstract
The aim of this study is to have a solid basis for the effectiveness of the 18F-FDG-PET/CT imaging technique, which hasknown advantages for patients with head and neck cancers during staging and restaging prior to treatment and to comparethis method with the corresponding clinical and radiological methods. A total of 139 patients with squamous cell head and neck carcinoma underwent PET/CT imaging. A total of 146 PET/CTimaging was performed in all patients. PET/CT imaging performed for staging and restaging in 36 and 103 patients,respectively. At least one conventional imaging (CI) as CT and/or MRI was performed for each one of the total patients.PET/CT studies revealed 66 true positive, 72 true negative, 4 false positive and 4 false negative results whereas the samevalues for CI were 65, 64, 4 and 6, respectively. When all studies were analyzed on the basis of lesion for PET/CT, specificity was 94.7%, and sensitivity being 94.2%,where as corresponding values for conventional imaging methods were found 94.1% and 91.5% respectively. Recurrentlesions have been detected with PET/CT and treatment management was changed in 29 of 139 patients.FDG-PET/CT improves the diagnostic accuracy in head and neck cancer patients.
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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 | 0.001 | 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