Setting the Stage for 2018: How the Changes in the American Joint Committee on Cancer/Union for International Cancer Control<i>Cancer Staging Manual</i>Eighth Edition Impact Radiologists
Bibliographic record
Abstract
of the American Joint Committee on Cancer will be implemented in January 2018. There are multiple changes to the head and neck section of the manual, which will be relevant to radiologists participating in multidisciplinary head and neck tumor boards and reading pretreatment head and neck cancer scans. Human papillomavirus-related/p16(+) oropharyngeal squamous cell carcinoma will now be staged separately; this change reflects the markedly better prognosis of these tumors compared with non-human papillomavirus/p16(-) oropharyngeal squamous cell carcinoma. Nodal staging has dramatically changed so that there are different tables for human papillomavirus/p16(+) oropharyngeal squamous cell carcinoma, Epstein-Barr virus-related nasopharyngeal carcinoma, and all other head and neck squamous cell carcinomas. Extranodal extension of tumor is a new clinical feature for this third staging group. In the oral cavity, the pathologically determined depth of tumor invasion is a new staging criterion, while extrinsic tongue muscle invasion is no longer part of staging. This review serves to educate radiologists on the eighth edition changes and their rationale.
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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 | 0.018 | 0.057 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.014 | 0.016 |
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".