Prognostic value of 18F-fluorodeoxyglucose-positron emission tomography in patients with differentiated thyroid carcinoma and circulating antithyroglobulin autoantibodies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To explore the prognostic value of F-fluorodeoxyglucose (FDG)-positron emission tomography (PET) in radioiodine-negative patients with differentiated follicular cell-derived thyroid carcinoma with circulating antithyroglobulin autoantibodies (TgAb). METHODS: We retrospectively reviewed cases of all patients with differentiated thyroid cancer and increased TgAb referred for FDG-PET at Mayo Clinic, Rochester, Minnesota, from August 2001 to December 2004. PET findings were compared with results of other imaging and laboratory studies. Follow-up information was recorded until 19 December 2009. RESULTS: Of the 17 patients identified, PET results were true positive in 10 and false negative in two. In eight of these 12 patients with confirmed residual or recurrent disease, the increased TgAb level persisted and the disease progressed. In four of the 12 patients, TgAb decreased or disappeared after further treatment. In five patients, no residual or recurrent disease was found during follow-up. PET results were true negative in these five patients; TgAb disappeared spontaneously in four of these patients. CONCLUSIONS: Negative PET results were associated with the absence of active disease and disappearing TgAb over time. FDG-avid residual lesions were associated with more aggressive disease and persistently increased TgAb.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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