Stromal Vascular Fraction in Scar Management
Bibliographic record
Abstract
Background: Stromal Vascular Fraction (SVF), obtained from adipose tissue, has recently emerged as a promising regenerative strategy owing to its diverse cellular composition. This fraction comprises mesenchymal stem cells, endothelial progenitor cells, pericytes, and immunomodulatory elements, each contributing to a processe essential for tissue regeneration, including angiogenesis, immune regulation, and extracellular matrix remodeling. Objectives: This study aimed to evaluate the efficacy of SVF in improving the characteristics and severity of various types of scars using objective and subjective assessment tools and to compare the degree of improvement among different scar types, supported by both clinical and proposed histopathological evaluation for future studies.Patient and Methods: This multicenter prospective study enrolled 60 patients presenting with post-operative, post acne, hypertrophic, atrophic, post-burn, or traumatic scars. SVF was isolated from autologous adipose tissue using a modified mechanical emulsification technique, providing a minimally manipulated regenerative fraction. Adipose tissue was harvested under sterile conditions, primarily from the lower abdomen, with alternative donor sites such as the flanks and thighs considered to optimize SVF yield. The isolated SVF was then injected intradermally into the scarred areas. Scars were evaluated at baseline and six months post-treatment using the Vancouver Scar Scale (VSS) and a 5-point Likert scale.Results: Significant improvement was observed in pigmentation (p = 0.003), height (p = 0.045), and vascularity (p = 0.030). The mean VSS score significantly decreased from 7.06 ± 3.60 to 5.23 ± 2.89 (p = 0.034). Patient satisfaction with overall scar appearance improved significantly (p = 0.046), with 66.7% reporting satisfaction. However, pliability, pain, and pruritus showed no significant improvement, indicating that multimodal approaches, such as combining SVF with PRP or laser therapy, may be required to target these elements more effectively.Conclusions: SVF significantly improves aesthetic characteristics of scars, particularly pigmentation, height, and vascularity, with high patient satisfaction, it shows potential as a minimally invasive therapy, yet refinement of isolation methods, longer follow-up, and histological validation are essential to confirm its regenerative impact.
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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 | 0.000 |
| 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".