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Stromal Vascular Fraction in Scar Management

2025· article· en· W4416333941 on OpenAlexaboutno aff
Sarah Fathallah Aly, Eman Abdelhafez, Ayman Abdelmofeed, mohamed younis, ola seif

Bibliographic record

VenueThe Egyptian Journal of Plastic and Reconstructive Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsnot available
Fundersnot available
KeywordsStromal vascular fractionVascularityAdipose tissueScarsMesenchymal stem cellStromal cellProspective cohort studyExtracellular matrix

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score0.177

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.270
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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