Are Posttherapy Radioiodine Scans Informative and Do They Influence Subsequent Therapy of Patients with Differentiated Thyroid Cancer?
Bibliographic record
Abstract
UNLABELLED: Posttherapy scans (PTS) with a gamma camera are typically used after therapeutic doses of 131I to visualize metastases that may not be seen with lower dose diagnostic scans. During a 16-month period, we studied 81 patients (64 with papillary thyroid cancer and 17 with follicular thyroid cancer), who had both a diagnostic whole-body scan (131I dose 3 mCi) and a PTS. A total of 117 PTS were evaluated. At the time of PTS, clinical or radiologic evidence of metastatic or residual disease was present in 68 patients (84%). The anatomic sites of known disease included, neck (63), mediastinum (23), lung (35), bone (14), trachea (16), esophagus (5), and brain (2). PTS showed focal areas of abnormal uptake not seen in diagnostic scans in 15 scans (13%). Areas with abnormal new uptake included: neck (5), lung (5), mediastinum (4), bone (2), and adrenal (1). In 7 patients (9%) the PTS results impacted future decisions regarding plans for subsequent diagnostic scanning and 131I therapy or changed the patient's risk group category. IN CONCLUSION: (1) 13% of 117 PTS demonstrated abnormal foci of 131I uptake not seen on pretherapy scans and (2) PTS changed management strategy in 9% of the studied patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 source (direct Gemma or distilled Codex), 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".