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 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 | 0.001 |
| 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) | 0.001 | 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 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".