Relationship between buccal osteotomy angulation and asymmetric expansion in surgically assisted rapid palatal expansion: a finite element analysis
Bibliographic record
Abstract
Objectives: To investigate the effects of buccal osteotomy angulation on surgically assisted rapid palatal expansion (SARPE) patterns. Materials and Methods: A finite element analysis (FEA) model of the maxilla with Haas expander was constructed from a cone beam computed tomography (CBCT) image using Mimics, Geomagic, and solidWorks software. One-mm-thick buccal osteotomies were created with different combinations of 0°, 10°, 20°, and 30° from the horizontal plane to simulate differences in bilateral osteotomy angulation. Springs were placed at the buccal osteotomy gaps to mimic the strain of the bone callus. After applying 150 Newton of expansion force at the level of the expander jackscrew in each FEA scenario, the expansion pattern of the hemimaxillae was evaluated in Ansys software. Results: Scenarios with 20° (0-20°; 10-30°) and 30° (0-30°) differences resulted in significant transverse asymmetric expansion. Among the groups with 10° difference, 0-10° resulted in relatively parallel expansion, while 10-20° and 20-30° experienced V-shaped expansion with more anterior widening. Conclusions: A larger difference between the angulations of the left and right buccal osteotomies resulted in increased asymmetry in both the transverse and vertical dimensions after expansion.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| 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".