EP-1163: Partial Laryngectomy vs Definitive Radiotherapy: 10 year-Outcomes in T2N0 Glottic Cancer
Bibliographic record
Abstract
Purpose or ObjectiveRadiotherapy alone has been standard management for early stage glottis cancer for decades.Various fractionation regimens exist, but hypofractionation has been proven to lead to better outcomes.Second malignancy is a concern in these patients who have long life expectancies.We reviewed our experience to determine if radiotherapy was associated with an increase in the risk of second malignancies. Material and MethodsWe retrospectively reviewed consecutive patients treated with radiotherapy for T1-T2 glottis cancer b etween January 2006 and January 2013.From 2006, all patients with early glottis cancer received hypofractionated treatments at our regional tertiary center.89%, received 52,0 Gy in 20 fractions over 4 weeks.82% were treated with 6 MV photons and 18% with Cobalt using either wedged laterals or 3DCRT with 2-4 fields.Patients were treated supine with appropriate bolus, and immobilized with a thermoplastic shell.Patient information was stored in our head and neck registry database.Baseline
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".