Superficial Peroneal Neurocutaneous Flap for Coverage of Donor Site Defect After the Combined Transfer of Toe and Dorsal Foot Flap
Bibliographic record
Abstract
BACKGROUND: Reconstruction of digital loss with soft tissue defects remains a tough challenge. Although a combined flap of toe and dorsal foot skin provides a good option for "like-for-like" hand reconstruction, the disappointed donor site morbidity prevents it from popularity. In this study, we presented experiences of the superficial peroneal neurocutaneous (SPNC) flap for donor site closure after the combined toe and dorsal foot flap transfer. METHODS: Superficial peroneal neurocutaneous flaps were used to cover foot donor site defects in 9 patients. The flaps harvested from feet including 3 cases of wrap-around flap with dorsal foot flap, 4 cases of 2nd toe flap with dorsal foot flap, 2 cases of 2nd and 3rd toe flap with dorsal foot flap. The flap size, operation time, and complications were documented, and the donor sites were evaluated by the subjective outcome measure, the foot evaluation questionnaire, and the Vancouver Scar Scale. RESULTS: All flaps but one survived completely without complications. Marginal necrosis occurred in the distal part of the flap in one case, which was treated by daily dressings. The skin grafts on the lower leg healed uneventfully. The average operation time of flap transfer was 40 minutes. Follow-up ranged from 9 to 16 months, and patients were content with the results of the foot donor site according to the outcome measures. All the patients were able to wear normal shoes walking and running with a normal gait, and none sustained complications of skin erosion or ulceration. Protective sensibility was obtained in all the flaps. Two patients complained of cold intolerance and 2 could not wear a thong sandal. The donor site scars on the lower leg were measured 3.2 on average on the Vancouver Scar Scale. CONCLUSIONS: The SPNC flap is a practical procedure for donor site closure on the foot, especially when extra dorsal foot skin is elevated with a toe flap for hand reconstruction.
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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 | 0.000 |
| 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) | 0.003 | 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".