Unsuspected Synchronous Thyroid Carcinoma Revealed on a Post-Therapy F-18 FDG PET/CT, in a Patient With Follicular Lymphoma
Bibliographic record
Abstract
A 64-year-old man with high-grade follicular lymphoma had a staging F-18 FDG PET/CT scan, which showed extensive disease in the lymph nodes, skeleton, and spleen. After 5 cycles of chemotherapy, a post-therapy PET/CT showed resolution of all abnormal findings except for 1 lesion in the neck. Biopsy revealed a Hurthle cell thyroid carcinoma. This unexpected second primary malignancy, although present on the initial scan, revealed itself visually only on the post-therapy PET/CT. It is important to carefully evaluate post-therapy PET/CT scans especially in cases of “mixed” or “discordant” metabolic response, as presumed residual disease may represent the unmasking of another primary malignancy.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".