Lateral Neck Radiography versus Direct Video Rhinoscopy in Assessing Adenoid Size
Bibliographic record
Abstract
OBJECTIVE: To evaluate the usefulness of adynamic lateral neck radiographs and dynamic video rhinoscopy in assessing adenoid size and the relationship of these methods to associated symptoms and thus the severity of the disease. METHODS: Children with suspected adenoid hypertrophy underwent standard lateral neck soft tissue radiographs: the percentage of airway occlusion, adenoid to nasopharynx (AN) ratio, airway to soft palate ratio, and adenoid thickness were assessed by a radiologist. The percentage of airway closure was assessed by direct fibre-optic rhinoscopy in an ear, nose, and throat clinic. Associated clinical symptoms were assessed by parents using a standardized questionnaire, evaluating the severity of symptoms (snoring, sleep apnea, mouth breathing, and otitis media) to give a total symptom score out of 16. RESULTS: Nonparametric statistical analysis using Spearman's correlation coefficients was performed on 32 patients. There was a weak correlation, which approaches significance, between the percentage of airway occlusion assessed by fibre-optic rhinoscopy and the total symptom score (r = .344, p = .054). However, this correlation becomes significant when the frequency of otitis media is omitted (r = .367, p = .039). There was also a significant correlation between airway occlusion assessed by rhinoscopy and the percentage of airway occlusion as determined by lateral neck radiography (r = .431, p = .014). There was no correlation between any of the measurements taken by lateral soft tissue neck radiography and total symptom score. CONCLUSION: Dynamic video rhinoscopy is more accurate at assessing adenoid hypertrophy, and the percentage of airway occlusion, as estimated by video rhinoscopy, is better correlated to the severity of symptoms than are values obtained by lateral neck radiography.
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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 | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".