Absence of Planned Neck Dissection for the N2-N3 Neck After Chemoradiation for Locally Advanced Squamous Cell Carcinoma of the Head and Neck
Bibliographic record
Abstract
OBJECTIVE: To review our institutional experience of patients with locally advanced squamous cell carcinoma of the head and neck (SCCHN) and N2-N3 neck disease with respect to neck recurrence after chemoradiation without planned neck dissection (ND). DESIGN: Retrospective study. SETTING: Tom Baker Cancer Centre, Calgary, Alberta, Canada. PATIENTS: Fifty-four adults with locally advanced SCCHN and N2-N3 neck disease. INTERVENTIONS: Eighty consecutive patients were treated with chemoradiation, 70 Gy given as 2 Gy daily for 7 weeks, with cisplatin, 20 mg/m(2), given on the first 4 days of weeks 1 and 5. Of the 80 patients, 54 were evaluable. MAIN OUTCOME MEASURES: Primary outcomes were overall survival and absence or presence of neck disease after chemoradiation. Secondary outcomes included disease-specific survival and locoregional recurrence-free survival. RESULTS: Median follow-up of living patients was 35 months. Patients with a complete response (CR) did not have any planned ND. Factors associated with the absence of recurrent neck disease included CR (P < .001), younger age (P = .02), and better Karnofsky Performance Status (P = .049). In patients achieving CR, 2-year overall, disease-specific, and locoregional recurrence-free survival was 92%, 95%, and 95%, respectively. Three of the 43 patients (7%) with N2 lesions obtaining CR subsequently experienced a neck recurrence at a median of 15 months (range, 7-24 months). CONCLUSIONS: In these patients with locally advanced SCCHN and N2-N3 neck disease treated with chemoradiation and achieving CR, only a few patients with N2 neck disease experienced recurrence despite the absence of planned ND. Prospective trials are needed to identify patients with N2 neck disease who may still benefit from planned ND after chemoradiation. There were not enough patients with N3 neck disease to make any recommendations.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".