Facial Reanimation by One-Stage Microneurovascular Free Abductor Hallucis Muscle Transplantation
Bibliographic record
Abstract
BACKGROUND: In 1990, Jiang Hua introduced a new method using one-stage reconstruction with free abductor hallucis muscle transfer for dynamic reanimation of established unilateral facial paralysis. The authors present their experience with this procedure and analyze the postoperative complications and long-term functional and aesthetic outcomes. METHODS: From March of 1990 to March of 2010, 45 patients underwent the free abductor hallucis muscle transfer procedure in the authors' department. Forty-one were followed up for 54.6 months (range, 28 months to 17 years). The Toronto Facial Grading System and Facial Nerve Function Index were used to evaluate facial nerve function at 2 years after surgery and last follow-up. Complications and function of the donor foot were analyzed. RESULTS: No postoperative mortality was found. Complications occurred in four of 41 patients, including muscle loss, infection, hematoma, and hypertrophic scar. The others obtained satisfactory symmetric faces in the static state and in voluntary contraction of the transferred muscles. Mean values for the Toronto Facial Grading System (50.6±7.8) and the Facial Nerve Function Index (65.7±11.4 percent) were significantly higher at 2 years postoperatively in comparison with preoperative status (21.2±5.3 and 19.5±3.6 percent, respectively) (p<0.05). Long-term outcomes (Toronto Facial Grading System, 54.8±6.9; Facial Nerve Function Index, 79.4±9.6 percent) were awarded higher values than early outcomes shown at 2 years postoperatively (p<0.05). CONCLUSIONS: Free abductor hallucis muscle transfer is safe and effective in dynamic reanimation of longstanding unilateral facial paralysis. Favorable long-term results demonstrate that the authors' technique is an alternative method for facial reanimation. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, IV.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".