Morphologic and topographic radiologic features of human papillomavirus‐related and –unrelated oropharyngeal carcinoma
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to compare the clinicoradiologic characteristics of human papillomavirus (HPV)-related (HPV-positive) and HPV-unrelated (HPV-negative) oropharyngeal carcinoma (OPC). METHODS: Primary tumor and lymph node features of HPV-positive and HPV-negative OPCs from 2008 to 2013 were compared on pretreatment CT/MRI. Intrarater/interrater concordance was assessed. Multivariable analyses identified factors associated with HPV-positivity to be used in nomogram construction. RESULTS: Compared to HPV-negative (n = 194), HPV-positive (n = 488) tumors were more exophytic (73% vs 63%; p = .02) with well-defined border (58% vs 47%; p = .033) and smaller axial dimensions; lymph node involvement predominated (89% vs 69%; p < .001) with cystic appearance (45% vs 32%; p = .009) but similar topography. Intrarater/interrater concordance varied (fair to excellent). Nomograms combining clinical (age, sex, smoking pack-years, subsite, T/N classification) and/or radiologic (nonnecrotic tumor and cystic lymph node) features were used to weigh the likelihood of HPV-driven tumors (area under the curve [AUC] = 0.84). CONCLUSION: HPV-positive OPC has different radiologic tumor (exophytic/well-defined border/smaller axial dimension) and lymph node (cystic) features but similar lymph node topography.
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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 | 0.001 |
| 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".