Treatment of Mandibular Ameloblastoma Involving the Mandibular Condyle: Resection and Concomitant Reconstruction With a Custom Hybrid Total Joint Prosthesis and Iliac Bone Graft
Bibliographic record
Abstract
AIM: To describe the treatment of ameloblastoma involving the mandibular body and condyle in 3 patients. METHODS: This report describes 3 patients with large ameloblastomas (2 were second recurrences) treated by partial mandibular resection. Involvement of the mandibular condyle in these 3 patients made the reconstruction more challenging. Reconstruction included immediate temporomandibular joint replacement by a custom-made alloplastic total joint and mandibular body (Zimmer-Biomet, Jacksonville, FL). These devices were designed using virtual surgical planning software. The 3 patients underwent concomitant bone graft reconstruction using autogenous-free corticocancellous block bone grafts from the iliac crest. This facilitated later dental implant placement and full dental rehabilitation. Direct inferior alveolar nerve repair or nerve graft reconstruction with allograft was also carried out for all 3 patients. Maxillomandibular fixation was not used in all 3 patients. RESULTS: All the 3 patients underwent successful surgery and recovery. Mandibular function was preserved. The concomitant bone graft allowed successful dental implant placement for subsequent planned restorative dentistry. CONCLUSION: Ameloblastoma involving the mandibular condyle can be successfully treated by resection and concomitant total joint replacement with an alloplastic device. This technique shows promise in that there is rapid return to excellent function thanks to rigid fixation of the construct. Mirroring software used in the prosthesis design facilitates excellent cosmetic outcomes.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".