Free thyroid transfer: Short‐term results of a novel procedure to prevent post‐radiation hypothyroidism
Bibliographic record
Abstract
BACKGROUND: The incidence of radiation-induced hypothyroidism (RIH) in patients with head and neck cancer is >50%. The purpose of this study was to assess the long-term efficacy of free thyroid transfer (FTT) for prevention of RIH in patients with head and neck cancer. METHODS: Hemithyroid dissection was completed in 10 patients with advanced head and neck cancer undergoing ablation, radial forearm free flap (RFFF) reconstruction, and postoperative radiotherapy (RT). The hemithyroid was anastomosed to the donor site vessels in the forearm. Thyroid laboratory testing and technetium (Tc) scans were performed 6 weeks and 12 months postoperatively to establish functional integrity. RESULTS: FTT was successfully performed in 9 of 10 recruited patients. Postoperative Tc scans demonstrated strong Tc uptake in the forearm donor site at 6 weeks and 12 months in all patients who underwent transplantations. CONCLUSION: FTT is feasible with maintenance of function, and may represent a novel strategy for prevention of RIH. © 2016 Elsevier Head & Neck Published by Wiley Periodicals, Inc. Head Neck 39: 1234-1238, 2017.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.002 | 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".