The endonasal endoscopic surgical approach to challenging pediatric frontal sinus inflammatory lesions
Bibliographic record
Abstract
A variety of pathologies and anatomical variations contribute to the underreporting of pediatric paranasal sinus disorders. The frontal sinus presents significant risk for complications due to its proximity to the orbit and brain. Three cases encountered in a tertiary hospital are discussed in this study to illustrate the usefulness of endonasal endoscopic methods in addressing pediatric frontal sinus lesions. These included bilateral frontal sinus mucopyoceles, bilateral frontal allergic fungal sinusitis, and a unilateral frontal mucocele, all of which were completely resolved with no recurrence during follow-up. Diagnosis is often delayed in pediatric patients due to their unusual presentations. In conclusion, endoscopic sinus surgery is the cornerstone for managing challenging pediatric frontal sinus disease, showing good recovery and superior cosmetic outcomes. The minimally invasive endoscopic approach is recommended for these conditions.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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, unvalidatedMachine predicted; a candidate call from one teacher head, 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".