Outcomes after reirradiation for recurrent nasopharyngeal carcinoma: North American experience
Bibliographic record
Abstract
BACKGROUND: The purpose of this article was to report outcomes of reirradiation for locoregionally recurrent nasopharyngeal carcinoma (NPC). METHODS: A retrospective review was conducted of all patients with locoregionally recurrent NPC who received reirradiation between 2001 and 2012. Overall survival (OS), local control, regional control, distant control, and Radiation Therapy Oncology Group (RTOG) grades 3 to 4 late toxicity were examined. RESULTS: A total of 42 recurrent cases treated with intensity-modulated radiotherapy (IMRT; 27 patients) or non-IMRT (stereotactic radiotherapy [RT], 12 patients; 3D conformal RT, 3 patients) were identified. Median time from initial RT to recurrence was 4.6 years. Hyperfractionation with 1.1 to 1.4 Gy/fraction twice daily to a total of 40 to 60 Gy was used in 27 IMRT and 5 non-IMRT patients. The remaining 10 patients received conventional fractionation 1.8 to 2.0 Gy/fraction to 50 to 60 Gy. Median follow-up was 3.0 years. The 3-year OS, local control, regional control, distant control, and late toxicity rates were 49%, 46%, 71%, 79%, and 37%, respectively. CONCLUSION: Reirradiation for recurrent NPC, delivered mostly with hyperfractionated IMRT, can result in durable disease control with acceptable late toxicity. © 2015 Wiley Periodicals, Inc. Head Neck 38: E1102-E1109, 2016.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".