Pathologic response to neoadjuvant chemotherapy in HPV‐associated oropharynx cancer
Bibliographic record
Abstract
BACKGROUND: A paradigm shift has led to de-escalation trials for the treatment of HPV-positive oropharynx cancer (OPC). The objective of this study was to assess the ability of tumor volume reduction on imaging to predict pathological response to neoadjuvant chemotherapy in patients with HPV-positive OPC. METHODS: A prospective observational study of 54 patients with HPV-positive OPC enrolled in a clinical trial of neoadjuvant chemotherapy followed by surgery was performed. Patients underwent three cycles of induction chemotherapy (cisplatin/docetaxel); prechemotherapy and postchemotherapy imaging were obtained. Receiver operating characteristic curves and logistic regression analyses were used. RESULTS: The complete pathologic response (pCR) rate at primary and nodal sites were 72% and 57%, respectively. Tumor volume reduction of ≥90% following induction chemotherapy predicted pCR of the primary tumor. CONCLUSIONS: Neoadjuvant chemotherapy followed by definitive transoral surgery is a new paradigm worthy of further investigation and MRI is a reliable modality to assess preoperative response.
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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 | 0.001 | 0.003 |
| 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".