Comparison of Craniofacial Skeletal Characteristics of Infants with Bilateral Choanal Atresia and an Age-Matched Normative Population: Computed Tomography Analysis
Bibliographic record
Abstract
Choanal atresia (CA) results from the developmental failure of the posterior nasal cavity to communicate with the nasopharynx. Computed tomographic (CT) scanning is often used as a diagnostic tool for CA as it is able to provide information regarding the extent and type of atresia. Studies have used CT measurements to analyze the skeletal deformities of children with CA. Computed tomographic analysis of the complete craniofacial skeletal characteristics of children with CA has not been previously reported. This study analyzed the craniofacial skeletal characteristics of infants with bilateral choanal atresia (BCA) and compared them with age-matched standards. Eight patients with BCA under the age of 3 months were evaluated. Fourteen cranio-orbitozygomatic variables were used to represent the craniofacial skeletal configuration. The measurements from the control group were compared with the available values of age-matched normal controls. Statistically significant differences between the means of the sample group and control group were demonstrated in 10 of 14 variables. The sample group means were consistently smaller than the control group mean. Detailed knowledge of the underlying anatomy of infants with BCA will help in the development of treatment strategies and will provide data for evaluation of operative intervention on craniofacial growth.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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, 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".