Characterization of a parietal lesion detected by diffusion weighted MRI, NaF18-PET/CT and CT
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Bibliographic record
Abstract
It is very important to accurately characterize skull lesions so that appropriate treatment decisions can be made. False positive readings may lead to unnecessary surgical intervention or radiation. We present a case of a parietal lesion seen on Diffusion weighted (DW) MRI, and further characterized with NaF18-PET/CT and CT in a 69 year old male. This is the first case to report the use of DW MRI, NaF18-PET/CT bone scan and CT in the diagnosis of a skull lesion. DW MRI is known to have high specificity to detect malignant lesions in the skull. If a similar case such as ours in encountered in everyday clinical practice, a differential diagnosis of a benign etiology should be considered.
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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