Temporary Anchorage Device as an Innovative Alternative for Unilateral Arch Mesialization in Medical Application
Bibliographic record
Abstract
Like any other medical intervention, orthodontic treatment has, in addition to its benefits, also associated risks and complications that are sometimes caused by wrongful treatment objectives. Correction of previous orthodontic malpractice is always a challenging problem in orthodontics. The present study aimed to introduce an innovative approach for total arch mesialization. In this study, the treatment course of a 25-year-old woman dissatisfied with her previous improper orthodontic treatment plan and unnecessary extraction of the upper and lower right first premolar teeth. Maxillary and mandibular dental midline deviation was evident concurrent with asymmetric dental arches and excessive gingival display a smile. The proposed corrective treatment plan consisted of right side temporary anchorage devices assisted total arch mesialization in both maxilla and mandible, followed by orthognathic surgery at the end. The patient’s final occlusion and facial profile improved significantly after the second treatment. The result was determined to be stable over a 1-year period. No significant evidence of root resorption was detected. Overbite decreased from 95% to 25%. Yaw correction was completely accomplished, and the final lateral cephalometric analysis after orthognathic surgery showed skeletal cl I relationship, normal proclination of upper and lower incisor teeth, and no evidence of periodontal complication and loss of vitality in the mandibular and maxillary teeth. The unilateral mesialization approach used in the current study prevented invasive therapies such as dental implants employing a special approach, which is less aggressive and more durable for the patient and revealed successful results with minimum side effects.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".