Enhancing Safety and Outcomes in Brazilian Butt Lift: Mobile Ultrasound With Artificial Intelligence
Kazzi T., El Turk J., Baroud R.
Laboratory Study, published in Plast Reconstr Surg Glob Open (2026) — summary generated from the PubMed abstract.
Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.
- Level A · Stronger Clinical Evidence
- Level B · Emerging clinical evidence with positive signals
- Level C · Early human research exploring benefits
- Level D · Scientific groundwork from lab and animal studies
- Emerging · Emerging topic under active research
This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.
- Study type
- Laboratory Study
- Journal
- Plast Reconstr Surg Glob Open (2026)
- Reported sample size
- —
- Source database
- Europe PMC
- PMID
- 42004773
- PMCID
- PMC13090055
- DOI
- 10.1097/gox.0000000000007671
Abstract (original English)
Background The Brazilian butt lift (BBL) is increasingly guided by ultrasound to avoid deep or intramuscular fat placement, which has been associated with fatal pulmonary fat embolism. Real-time visualization of the superficial and deep gluteal fasciae improves safety, but consistent plane identification can remain challenging. Artificial intelligence (AI) may augment ultrasound by assisting with tissue-layer recognition, cannula tracking, and standardized interpretation. Methods A narrative review of gluteal anatomy, historical safety guidelines, and contemporary evidence on ultrasound-guided BBL was performed. We additionally outlined an AI-assisted ultrasound workflow and described a detailed surgical technique using mobile, handheld ultrasound with integrated AI-based optimization features. A preliminary retrospective clinical experience using this method was evaluated to assess feasibility and early safety signals. Results Ultrasound reliably enables identification of the gluteal fascial layers and supports subcutaneous-only fat placement. AI-assisted visualization further enhances anatomical consistency, facilitates plane confirmation during injection, and may reduce operator-dependent variability. In our early clinical experience, the workflow was feasible, with no major complications observed and satisfactory short-term outcomes. Conclusions Ultrasound guidance has sign
What this study does not prove
- • This study does not prove SVF is an approved treatment or a replacement for standard care.
- • This is preclinical work; animal or laboratory results cannot be applied to humans.
Evidence level
Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.
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