Granulomatous Thyroiditis Diagnosed by Fine-Needle Aspiration Cytology—A Case Report With Review of Other Benign Thyroid Entities
Bibliographic record
Abstract
Fine-needle aspiration cytology is important in the evaluation of thyroid nodules; its results guiding management and often reducing unnecessary surgery to the patients harboring benign nodules. Most thyroid nodules are benign, and the most commonly aspirated lesion is the benign follicular nodule. Other benign conditions include inflammatory and autoimmune disorders. This review discusses the clinical and cytological findings of various benign entities involving the thyroid gland, including benign follicular nodule, Graves disease, lymphocytic (Hashimoto) thyroiditis, suppurative thyroiditis, Riedel thyroiditis, and granulomatous (subacute, de Quervain) thyroiditis; a case report of the latter is presented.
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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 | 0.001 | 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 | 0.000 |
| 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 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".