Can the Tall Cell Variant of Papillary Thyroid Carcinoma Be Distinguished from the Conventional Type in Fine Needle Aspirates? A Cytomorphologic Study with Assessment of Diagnostic Accuracy
Bibliographic record
Abstract
OBJECTIVES: The tall cell variant of papillary thyroid carcinoma (TCV-PTC) is an aggressive variant of PTC requiring accurate cytopathologic diagnosis for early aggressive management. STUDY DESIGN: Twenty-five cases of TCV-PTC in which the tall cells comprised at least 30% of surgically resected tumor were included in the study. The direct smears from a preoperative fine needle aspiration (FNA) and available hematoxylin and eosin cell block sections were reviewed. Ten cases of TCV-PTC were randomly selected and blinded with an equal number of conventional PTC cases. Representative slides were independently reviewed by 7 cytologists. RESULTS: In a majority of the cases, the FNA direct smears were hypercellular and displayed flat monolayer sheets of cells. Tall columnar cells with cytoplasmic tails were seen in 56% of cases. The presence of large polygonal follicular cells with abundant granular oncocytic cytoplasm and distinct cell borders was the most common feature seen in all cases. Seventeen (68%) cases displayed intranuclear pseudoinclusions in cells with abundant granular cytoplasm. A correct diagnosis of TCV-PTC was made in 30-40% of cases by 7 study participants. CONCLUSIONS: The correct recognition of TCV-PTC features in preoperative FNA is important for clinical management, and reporting these features in a cytopathology report is suggested.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".