Serum thyroglobulin predicts thyroid remnant ablation failure with 30 mCi iodine-131 treatment in patients with papillary thyroid carcinoma
Bibliographic record
Abstract
BACKGROUND: Most patients with differentiated thyroid cancer are treated with radioiodine (131-I) after thyroidectomy. The characteristics predictive of successful remnant ablation with low activities of 131-I are ill defined and could help stratify patients into those who should receive higher activities. METHODS: In a case series of 193 consecutive patients with papillary thyroid cancer who underwent total thyroidectomy and received 30 mCi (1110 MBq) of 131-I, we assessed the percentage of successful radioremnant ablation as defined by a composite of scintigraphic and biochemical endpoints. Clinical, histological, scintigraphic, and biochemical covariables were analyzed to identify associations with treatment failure. RESULTS: Successful radioremnant ablation with low-activity 131-I was obtained in 78% of the entire cohort of patients. The presence of limited microscopic extrathyroidal extension, nodal micrometastases, or an elevated stimulated ablation was associated with failure to ablate the remnant. While accounting for other factors in a multivariable analysis, patients with an ablation thyroglobulin of at least 6 μg/l were at a more than five times greater risk (P<0.001) to fail 30 mCi 131-I remnant ablation. CONCLUSION: The majority of patients with papillary thyroid carcinoma experienced successful ablation. However, elevated-stimulated ablation thyroglobulin levels were strongly predictive of ablation failure, suggesting that this biochemical marker correlates with a more aggressive tumor profile and identifies those patients who might benefit from additional therapy.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".