Low Malignancy Rates in Fine-Needle Aspiration Cytologies in a Primary Care Setting in Germany
Bibliographic record
Abstract
BACKGROUND: Reported results for thyroid nodule fine-needle aspiration (FNA) cytology mainly originate from tertiary centers. However, thyroid nodule FNA cytology is mainly performed in primary care settings for which the distribution of FNA Bethesda categories and their respective malignancy rates are largely unknown. Therefore, this study investigated FNA cytology malignancy rates of a large primary care setting to determine to what extent current evidence-based strategies for the malignancy risk stratification of thyroid nodules are applied and applicable in such primary care settings. METHODS: In a primary care setting, 9460 FNAs of thyroid nodules were retrospectively analyzed from 8380 patients evaluated by one cytologist (I.R.) during a period of two years. The 8380 FNA cytologies were performed by 64 physicians in different private practices throughout Germany in primary care settings. RESULTS: The cytopathologic results were classified according to the Bethesda System as non-diagnostic in 19%, cyst/cystic nodule in 21%, benign (including thyroiditis) in 48%, atypia of undetermined significance/follicular lesion of undetermined significance (AUS/FLUS) in 6%, follicular neoplasms/suspicious for follicular neoplasm (FN/SFN) in 4%, suspicious for malignancy (SFM) in 1%, and malignant in 1%. The proportion of patients proceeding to surgery or with a follow-up of at least one year and the observed risks of malignancy were 22%/8% for AUS/FLUS, 69%/17% for FN/SFN, 78%/86% for SFM, and 71%/98% for malignant. For 112 cytologically suspicious and malignant FNAs, there were 102 true positives and 10 false positives, considering histology as gold standard. CONCLUSION: At variance with other data mostly originating from tertiary centers, these data demonstrate low percentages for malignant, SFM, FN/SFN, and AUS/FLUS, and high percentages for cysts/cystic nodules in this primary care setting in Germany. The risks of malignancy for malignant, SFM, AUS/FLUS, and FN/SFN FNA cytologies are according to Bethesda recommendations.
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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 | 0.000 | 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 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".