ArticleAesthetic plastic surgery2026
The Role of Helium Plasma Technology in Liposuction for Lipedema of the Lower Limbs: A Stage-Specific Analysis.
Article in Aesthetic plastic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Lipedema Diagnosis, Clinical Manifestations, and Therapeutics: A Systematic Review.International journal of dermatology · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLipedema is a chronic adipose tissue disorder characterized by abnormal fat accumulation, pain, often necessitating surgical intervention. While liposuction is the primary treatment to remove pathological fat, postoperative skin laxity poses a significant challenge, particularly in advanced stages.
objectiveThis study evaluates the efficacy of helium plasma technology as an adjunct to liposuction of the lower limbs across the three clinical stages of lipedema, with a focus on its impact on skin tone, elasticity, and the necessity for dermolipectomy.
methodsA prospective study was conducted on 90 female patients with lower limbs lipedema, divided equally across Stages I, II, and III. Helium plasma technology was applied post-liposuction to enhance skin tightening. Outcomes included postoperative skin elasticity, dermolipectomy incidence, and patient satisfaction
resultsIn Stage I, skin tone and elasticity increased by 25%, though the already low need for dermolipectomy remained largely unchanged. In Stage II, skin elasticity improved by 40%, reducing the incidence of dermolipectomy from 30 to 10%. In Stage III, while the need for dermolipectomy was unaffected, helium plasma contributed to improved skin elasticity and patient satisfaction. No major adverse events were reported. This study is limited by the absence of a randomized control group and the lack of blinding in outcome assessments, which may introduce observer bias. These factors should be considered when interpreting the results and highlight the need for future controlled trials.
conclusionsHelium plasma technology offers stage-specific benefits in liposuction for lipedema of the lower limbs. It enhances skin tone and elasticity in early stages, reduces dermolipectomy requirements in intermediate stages, and improves skin quality in advanced stages when combined with dermolipectomy. Further research is needed to validate these findings and optimize protocols for clinical use. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
Indexed as
Identifiers
41193894What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.