The Use of High Frequency Vibration and Clear Aligners in Management of an Adult Patient with Class III Skeletal Malocclusion with Open Bite and Severe Bimaxillary Protrusion: Case Report
Bibliographic record
Abstract
Adult orthodontic patients with skeletal Class III malocclusion, open bite and bimaxillary dentoalveolar protrusion are complex problems that normally require surgical intervention to correct. This is a report of an adult female with a skeletal Class III jaw relationship; in addition, the patient had anterior open bite and bimaxillary dentoalveolar protrusion. The patient also had three premolars in the lower left quadrant. Treatment involved extracting the extra premolar distal to lower left canine, retraction of lower anterior teeth, closing extraction space and anterior open bite utilizing Invisalign clear aligners. The patient initially changed aligners every week before this was changed to 3-5 days after starting to use a high frequency vibration (HFV = 120 Hz) device. Satisfactory results were achieved in a relatively shorter period. Comparing before and after treatment cone beam computed tomography revealed that new bone has been formed labial to the lower incisors after their retraction/correction of their initial proclined position and the use of HFV and myofunctional therapy without gingival graft. The present case report shows the comprehensive multidisciplinary team approach in treatment for such cases and the advantage of using HFV to improve bone formation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".