A Pragmatic Contouring Guideline for Salivary Gland Structures in Head and Neck Radiation Oncology
Bibliographic record
Abstract
OBJECTIVES: One of the main normal tissue toxicities in head and neck radiation oncology is xerostomia. In several studies, reduced radiation dose to the salivary glands has been shown to diminish the effects of gland dysfunction. However, no clear guidelines exist to define the anatomic location of the involved glands on cross-sectional imaging in a pragmatic manner. This study presents an anatomic, computed tomography (CT)-based definition of the major and minor salivary glands. METHODS: On the basis of information from normal structure anatomy, the location of major and minor salivary glands was identified and translated into a cross-sectional CT-based description of the salivary glands. RESULTS: The major salivary glands include the parotids and submandibular glands. The minor salivary glands are presented as a part of a surrogate structure (the Minor Oral Including Sublingual Salivary Tissue target), including the minor glands located in the oral mucosa of the tongue, hard and soft palate, buccal mucosa, and inner surface of the lips. CONCLUSIONS: Clinical implementation of CT-based delineations of the salivary glands according to the proposed guideline should reduce interobserver variability. This may lead to an improved understanding of the relationship between radiation dose and volume and effects on salivary function.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Methods About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: no | Other design | low |
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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) | 0.000 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".