A Novel Technique for Malar Eminence Evaluation Using 3-Dimensional Computed Tomography
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Bibliographic record
Abstract
To describe a novel method to locate the malar eminence using 3-dimensional computed tomography (3D-CT), and a new axis system for evaluation of malar eminence symmetry. A retrospective case series was carried out in 42 disease-free white adult patients. The 3D-CT reconstructions of the face were obtained, and the soft-tissue maxillozygion was used to locate the malar eminence. Other skeletal and soft-tissue landmarks (frontozygomatic suture, zygion, and orbitale) were evaluated. A patient-oriented axis system was constructed using 3 sagittal midline landmarks (nasion, subspinale, and basion). Coordinates were obtained for each landmark, and symmetry was evaluated. Twenty-one men and 21 women with mean ages of 41.1 and 41.3 years, respectively, were included. The malar eminence was easily localized using the 3D-CT technique for soft-tissue maxillozygion identification. Clinical asymmetry at the level of the soft-tissue maxillozygion was 40.5% (95% CI, 25.0%-56.0%). Other landmarks showed a prevalence of clinical asymmetry ranging from 24.0% to 50.0%. The malar eminence can be easily and precisely located using the 3D-CT soft-tissue maxillozygion landmark. A reliable patient-oriented axis system can be defined using nasion, subspinale, and basion. The prevalence of malar eminence asymmetry in our study was 40.5%. Moubayed and coauthors describe a novel method to locate the malar eminence using 3D-CT and a new axis system for evaluation of malar eminence symmetry.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 it