Stereotactic body radiotherapy for medically unfit patients with cancers to the head and neck
Bibliographic record
Abstract
BACKGROUND: A single institutional experience of stereotactic body radiation therapy (SBRT) to medically unfit patients with unresectable head and neck cancers (HNCs). METHODS: A retrospective review of HNC patients undergoing SBRT was undertaken from 2011 to 2016 for fractionation ranges between 35 and 50 Gy in 4 to 6 fractions. RESULTS: One hundred and fourteen patients with 117 SBRT courses were included with mean follow-up of 10.5 months. The cohort consisted of previously untreated primary HNC (n = 48), recurrent never irradiated HNC (n = 19), oligometastatic (n = 17) non-HNC primaries and previously irradiated HNC (n = 33). Local control (LC) at 12 months and median progression free survival was 85.8%, 78.2%, 85%, 78.9% (P = .86) and 23.7, 14.8, 10.5 and 7.8 months (P = .04) respectively. Only one patient had an acute grade 4 toxicity, two patients had grade 4 late toxicities. CONCLUSIONS: HNC SBRT is an effective treatment for frail patients where longer LC is relevant but are unable to tolerate protracted radiation schedules.
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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 | 0.000 |
| 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) | 0.002 | 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".