A Novel Approach to the Treatment of Comminuted Mandibular Condyle Fractures
Bibliographic record
Abstract
Introduction: A suture enlocation (SE) approach is proposed to manage comminuted intra-articular mandibular condyle fractures not amenable to open reduction internal fixation approaches. The SE approach is an effective operative option for the treatment of condylar fractures with the combination of fracture dislocation, malocclusion, comminution, and inadequate surface area for open fixation techniques. This study describes the SE approach, outcomes, and complications. Methods: The SE technique is described, and the health records of patients treated with the SE approach are reviewed. Outcome data were collected for diet, interincisal opening, occlusion, pain, and complications. Results: Technique: The SE approach involves reducing the fractured condylar fragment using a hole drilled through the fragment to secure it to the periosteum with a polydioxanone suture. This allows the reduced fragment to be managed as a nondisplaced fracture with mandibulomaxillary fixation and class 2 elastics. Outcomes: A chart review involving 8 patients (11 condyles) illustrates the outcomes of the SE approach from 2006 to 2021. Age at the time of injury ranged from 12 to 51 years and the follow up ranged from 2 to 68 months. At final follow up, 7 patients were eating a regular diet, 7 had normal interincisal opening, 4 had normal occlusion, and 4 reported ongoing mandibular discomfort. Failure of fixation occurred in 1 case, which required further operative management. Conclusions: The SE technique shows promise as an effective way to reduce fracture components, manage occlusion, and facilitate secondary bone healing in comminuted and displaced mandibular condyle fractures.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".