Cystic masses of the lateral neck: Diagnostic value comparison between fine‐needle aspiration, core‐needle biopsy, and frozen section
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The usefulness of fine-needle aspiration (FNA), core-needle biopsy (CNB), and frozen section (FS) for assessing lateral cystic neck masses (LCNM) remains unclear. METHODS: A retrospective review of patients presenting with a LCNM was undertaken. RESULTS: In total, 135 patients were included. FNA had a lower sensitivity then CNB (59% vs 83%; P = .036) and FS (59% vs 93%; P = .01). FS had a better negative predictive value (NPV) when compared to FNA (92% vs 40%; P < .001) and CNB (92% vs 50%; P = .062). Positive predictive values (PPV) and sensitivities were similar among all groups. CONCLUSION: Given its adequate PPV (92%), FNA should be used initially on LCNM. Because of its high sensitivity, CNB should be considered if FNA is not diagnostic of malignancy. FS should always follow a CNB indicative of malignancy, because of low NPV. A diagnosis of malignancy on FNA, CNB, or FS strongly indicates presence of malignancy.
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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) | 0.001 | 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) | 0.000 | 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 it