Subacute Thyroiditis With Coexisting Papillary Carcinoma Diagnosed by Immediately Repeat Fine Needle Aspiration: A Case Report
Bibliographic record
Abstract
Subacute granulomatous thyroiditis (SAT) is a spontaneously remitting inflammatory disease that is probably caused by viral infection. It has typical findings on ultrasound (US) which consist of focal ill-defined hypoechoic areas and no vascular flow in the hypoechoic areas on Doppler ultrasound. Papillary thyroid carcinoma is the most common type of thyroid cancer, and is often detected incidentally on US. However, SAT with coexisting papillary carcinoma is very rare. We report a case of SAT with coexisting papillary carcinoma diagnosed by immediate repeat US-guided fine needle aspiration (FNA). A 44-year-old woman was referred to our center for FNA of a thyroid nodule. She had anterior neck pain beginning 2 months prior to presentation and was treated at a local medical clinic. The thyroid US demonstrated a 1.2 x 0.8 cm nodule in the left lobe of the thyroid and ill-defined hypoechoic areas in both lobes of the thyroid. We performed US-guided FNA on that lesion. One week later, the cytology report was benign. Therefore, we performed repeat aspiration, which revealed papillary thyroid carcinoma. Total thyroidectomy was performed along with dissection of the central compartment of the neck and the nodule was confirmed to be papillary carcinoma without lymph node metastasis. The other portion of the thyroid showed the typical pathologic features of SAT. doi:10.4021/jmc665w
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".