Extrathyroidal Extension in Well-Differentiated Thyroid Cancer
Bibliographic record
Abstract
OBJECTIVE: To examine the prognostic difference in well-differentiated thyroid cancer between macroscopic extrathyroidal extension (ETE), which is appreciated in the operating room, vs microscopic ETE, which is only appreciated under the microscope by the pathologist. DESIGN: Retrospective medical record review. SETTING: Tertiary care academic hospital. PATIENTS: Among 582 patients, those who were surgically treated for stage III well-differentiated thyroid cancer with a minimum 5-year follow-up were included. Fifty-five patients (10%) (17 males and 38 females [mean age, 53.1 years]) met the selection criteria. MAIN OUTCOME MEASURES: Disease-specific survival and overall survival. RESULTS: Thirty-two patients (58%) had macroscopic ETE, while 23 patients (42%) had microscopic ETE. Twenty-year disease-specific survival in the macroscopic group was 47% (8 of 17) and 45% (5 of 11) in the microscopic group (P=.45). Twenty-year overall survival in the macroscopic group was 27% (3 of 11) and 24% (4 of 17) in the microscopic group (P=.59). The only confounding factor was external beam radiation therapy (EBRT). More patients with macroscopic ETE were treated with EBRT (P=.007). When survival was stratified according to EBRT, patients with macroscopic ETE who did not receive EBRT had diminished disease-specific survival (P=.07) and overall survival (P=.12). On multivariate analysis, EBRT was the only predictor of improved disease-specific survival (P=.02) and overall survival (P=.06). CONCLUSIONS: In selected patients with macroscopic ETE, we recommend postoperative EBRT. Further investigation is required to determine whether macroscopic ETE vs microscopic ETE is an independent predictor of outcome.
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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) | 0.001 | 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 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".