Worrisome histologic alterations following fine-needle aspiration of the parathyroid
Bibliographic record
Abstract
Fine-needle aspiration (FNA) is a procedure that is increasingly being performed. Artefacts occurring after FNA are reported to complicate the histological analysis of the tissue, mainly in the thyroid; WHAFFT (worrisome histologic alterations following FNA of thyroid) is well documented in the literature. The case of a male patient with hypercalcaemia who was subsequently found to have a nodule in the thyroid gland is reported here. He underwent FNA, followed by a total thyroidectomy and parathyroidectomy. The abnormality in the parathyroid gland showed worrisome histological changes that were suspicious of a malignant lesion, resembling the changes seen in the thyroid gland after FNA. Parathyroid cells were identified by a review of the previous FNA. The concept of WHAFFT, which can mimic the features of malignancy in the parathyroid gland, is therefore introduced.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 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".