A retrospective review in the management of T3 laryngeal squamous cell carcinoma: An expanding indication for transoral laser microsurgery
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to evaluate the functional and oncological outcomes of patients treated for T3 laryngeal squamous cell carcinoma. Specifically comparing transoral laser microsurgery and radiotherapy/chemoradiotherapy treatment modalities. METHOD: A retrospective review of patients treated for T3 laryngeal SCC between 2002 and 2010 was undertaken. RESULTS: Forty-nine patients were included. 15 cases were glottic, (9 treated with TLM, 6 with RT/CRT), 33 supraglottic (6 treated with TLM, 27 with RT/CRT) and 1 subglottic subsite (treated with RT/CRT). There was no statistical difference between treatment groups for 24 month locoregional control (72.3 %), overall survival (glottis 86.7 %, supraglottic 70.4 %) and disease specific survival (glottic 93.3 % and supraglottic 74.1 %). Overall laryngeal preservation (84.9 %) was also similar in both groups. CONCLUSION: Our institution is expanding the application of TLM to selected patients with T3 laryngeal carcinoma. Oncological outcomes have not been jeopardized by this approach and the treatment is well tolerated by patients with few complications.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".