Combination of submandibular salivary gland transfer and intensity‐modulated radiotherapy to reduce dryness of mouth (xerostomia) in patients with head and neck cancer
Bibliographic record
Abstract
BACKGROUND: Xerostomia is a debilitating side effect of radiotherapy for head and neck cancer. Combining surgical submandibular-gland transfer (SMGT) with intensity-modulated radiotherapy (IMRT) may provide greater protection of salivary function. METHODS: This was a single-institution, prospective phase II feasibility trial. Patients with head and neck cancer or unknown primary with neck node metastases received primary surgery with SMGT and postoperative radiotherapy with tomotherapy (60 Gy in 30 fractions). Toxicity and quality of life (QOL) were assessed before surgery, before RT, and after RT. RESULTS: Forty patients received SMGT and IMRT. Only 1 patient experienced grade 3 salivary gland toxicity. At 12 months post-RT, the rate of absent or only mild xerostomia was 89%, and salivary flow rates were approximately 75% of pre-RT levels. CONCLUSIONS: The combination of IMRT with SMGT is feasible and with improved dose constraints may maximally spare the parotid and submandibular glands, leading to decreased xerostomia and improved patient QOL.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".