Plastic surgery of extensive soft tissue defects of the lower leg in children with the use of a parotid flap after its prefabrication with tissue expanders (preliminary report)
Bibliographic record
Abstract
Background. Extensive deep soft tissue defects in children are an indication for the microsurgical reconstruction using autotransplantation of a tissue complex. The use of a flap prefabrication before their microsurgical transplantation to various segments and areas is a promising approach in reconstructive surgery.
 Aim. The aim of this study was to evaluate the possibilities and immediate results of plastic surgery of extensive soft tissue defects of the lower leg with a tissue complex, after its prefabrication with a tissue expander, and the state of the donor area in different surgical treatment options.
 Materials and methods. Six patients aged 13 2.3 years were operated on for deep scar deformities of the lower leg and foot. For plastic surgery, a pericarpial flap was used. In two patients, the flap was prefabricated with tissue expanders at a volume of 720 ml. After filling the expander, the second stage of surgical treatment was performed. First, the expander was removed. Next, the flap on the artery surrounding the scapula was isolated. Last, it was transplanted into a soft tissue defect of the lower leg with the imposition of microvascular anastomoses. A layer-by-layer suture was applied to the donor wound. The Vancouver scale was used to assess the quality of the scar tissue in the donor area.
 Results. The removal of the tissue complex after the prefabrication with expanders made it possible to perform plastic surgery of extensive soft tissue defects of the lower leg in one stage of surgical treatment with the application of a cosmetic suture in the donor area. There were no complications in the postoperative period.
 At the examination after six months, patients who did not undergo flap prefabrication complained of cosmetic defects and discomfort when moving in the donor area.
 The evaluation of the quality of scar tissue by the Vancouver scale showed that the scars in patients after flap prefabrication were similar to optimal (total score in two patients is 2). In two patients without flap prefabrication, the total score was 7, and in two patients, it was 9, which indicated unsatisfactory cosmetic parameters of the postoperative scar.
 Conclusion. The prefabrication of a tissue complex using tissue expanders before microsurgical transplantation enables the collection of a large volume of tissue for plastic surgery of extensive defects. It also reduces the risk of trophic complications in the postoperative period and creates optimal conditions for closing the donor site.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".