Non-surgical Treatment of a Late Adolescent Patient with Skeletal Class II Malocclusion Using Clear Aligners: A Case Report
Bibliographic record
Abstract
Background/Introduction: There are a variety of treatment modalities for orthodontic treatment of patients with skeletal Class II malocclusions in late adolescence. These treatment modalities may include surgical intervention, camouflage treatment, functional appliances, extraction of teeth, and/or Class II elastics mechanics. Most Class II mechanics produce retroclination of the upper incisors and proclination of lower incisors. These dentoalveolar effects limit the possibility for forward mandibular projection/growth, hence minimizing skeletal improvement. Case Presentation: To present a unique case report that was treated with a new perspective in maximizing skeletal improvement in a late adolescent male with skeletal Class II malocclusion and deep overbite. A 15-year-old male presented with a skeletal Class II pattern due to mandibular retrognathism was treated with non-extraction, non-surgical technique using clear aligners in two phases. Phase 1 was designed to decompensate the compensated inclination of his anterior teeth, and phase II was planned to correct his skeletal and dental Class II malocclusion/mal relation. Results: Maxillary incisors decompensation of the inclination of the upper and lower incisors and posterior teeth intrusion allowed forward mandibular projection that led to skeletal and dental correction of his malocclusion and improvement of his chin forward projection. Conclusion: This case report shows successful treatment of a Class II malocclusion in alate adolescent male. This method could perhaps be used for similar cases, avoiding the need to extract teeth or include surgical intervention.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".