Five-Segment Mandibular Osteotomy: A Novel Approach to the Correction of Complex Post-Traumatic Mandibular Deformities
Bibliographic record
Abstract
BACKGROUND: Post-traumatic mandibular malocclusion is a complex condition that poses a significant challenge to reconstructive surgeons. The malocclusion that ensues from bilateral condylar and parasymphseal fractures presents a particular challenge as it leads to bilateral posterior shortening and lingual tilting of dental arch leading to a combination of open anterior bite, crossbite, overbite, underbite, and/or facial asymmetry. The complexity of such malocclusion requires intricate freedom of movement of the mandibular arch that can be achieved by performing a 5-segment mandibular osteotomy. METHOD: This is a case series of 9 adult patients with significant post-traumatic mandibular malocclusion who were treated with 5-segment mandibular osteotomy technique. This article details the demographics, surgical technique and outcomes in this cohort of patients. RESULTS: All 9 patients in this series had condylar fracture as part of the index mandibular trauma. They have a common post-traumatic deformity of the mandibular arch due to shortening of the vertical mandibular height in the fracture site and variable degrees of lingual tilting leading to crossbite. The 5-segment mandibular osteotomy provided an adequate correction of dental and facial deformities in all 9 patients. One patient had a relapse of the dental malocclusion that required postoperative rescue orthodontics. Furthermore, one patient had a significant postoperative hemorrhage that required a facial artery ligation. CONCLUSION: Post-traumatic mandibular malocclusion is a complex deformity that poses a great challenge to practicing surgeons. Five-segment mandibular osteotomy is a technique that provides ample degrees of movement of mandibular segments that is necessary to correct such deformity.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".