Microvascular Reconstruction of Segmental Mandibular Defects without Tracheostomy
Bibliographic record
Abstract
OBJECTIVE: To report our experience with mandibular resection and reconstruction using vascularized bone-containing free flaps without an elective tracheostomy. STUDY DESIGN: Case series with chart review. SETTING: Tertiary referral hospital center. SUBJECTS AND METHODS: Sixty-six patients undergoing mandibular reconstruction with vascularized bone-containing free flaps without an elective tracheostomy were identified between 1995 and 2013. We describe patient, tumor, and surgical factors and report perioperative outcomes in this population. RESULTS: Most patients underwent fibula free flap reconstruction (n = 61, 92.44%). The 4 most frequent indications for resection were osteoradionecrosis, parotid carcinoma, oral squamous cell carcinoma, and osteomyelitis. Bone defects ranging from 4.0 to 13.0 cm were reconstructed, and associated soft-tissue defects were reconstructed with skin paddle sizes ranging from 24.0 to 450.0 cm(2). There was only 1 patient with a bilateral central mandibular defect, and there were no tongue/pharyngeal soft-tissue defects or bilateral neck dissections. One case required emergent tracheostomy on postoperative day 1, and 2 more patients developed respiratory complications. There were no cases of perioperative death or flap failure. CONCLUSION: Mandibular free flap reconstruction is feasible without an elective tracheostomy in a subset of carefully selected patients without bilateral central mandibular defects, tongue/pharynx defects, or bilateral neck dissection.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".