High‐grade radiologic extra‐nodal extension predicts distant metastasis in stage II nasopharyngeal carcinoma
Bibliographic record
Abstract
BACKGROUND: To investigate the prognostic value of radiologic extra-nodal extension (rENE) in stage II nasopharyngeal carcinoma (NPC). METHODS: Stage II NPC patients with N1 category (n = 365) were enrolled and divided into three groups according to the situation of rENE: without rENE, suspected rENE, and confirmed rENE (grades: A, infiltration into surrounding fat; B, matted nodes; C, infiltration into adjacent structures). RESULTS: Only high-grade rENE (including matted nodes and infiltration into adjacent structures) could significantly influence the survival outcomes, patients with high-grade rENE had significantly poorer survival than those without, with the 7-year distant metastasis-free survival and overall survival demonstrated to be 78.5% vs 93.0% (P < .001) and 81.9% vs 89.9% (P = .05), respectively. High-grade rENE, as defined in our study, is a stable criterion, with high intra-rater and inter-rater consistency. CONCLUSION: High-grade rENE was an evaluable predictor that could help with the selection of stage II patients with high risk of distant metastasis.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".