Application of Preexpanded Free Flaps Based on Thoracic Branch of Supraclavicular Artery for Facial Scar Treatment
Bibliographic record
Abstract
BACKGROUND: As an exposure region, the face is susceptible to burn injuries, which often lead to physical and psychological problems. For facial scar reconstruction, the subclavicular region has the advantages of matched color, similar texture, and thin and pliable tissue supply. The island or pedicled subclavicular flap, which is nourished by the thoracic branch of supraclavicular artery (TBSA) had been reported to cover cervical facial defects and achieved good outcomes. However, the main restriction is the limitation of the pedicle length. Therefore, the authors applied preexpanded TBSA free flap transplantation for treatments of upper and contralateral facial scars to overcome the pedicle limitation. METHODS: Three patients were treated with preexpanded TBSA flaps to repair the facial defects after scar resections. Two of them were combined with forearm or deltopectoral flaps according to different purposes. The patients were followed up for 2 to 7 years. The clinical data and surgical techniques were recorded and analyzed. The scars were scored by Vancouver Scar Scale. RESULTS: Two of the TBSA flaps survived well without complication. Partial flap necrosis in the distal end was healed by dressing changes, and mild contracture in the left medial canthus was corrected by Z plasty in case 1. The scars around transferred flaps and donor sites were scored 3 to 4 by Vancouver Scar Scale. The patients were satisfied with the outcomes. All the donor sites were closed primarily. CONCLUSION: A preexpanded TBSA-free flap could overcome the restriction of pedicle length for reconstruction procedures. The method is a feasible alternative of thoracic flaps to repair facial defects beyond pedicle limitation.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".