VASER-assisted high-definition liposculpture is an aggressive approach to body contouring that enables the surgeon to perform body sculpting of the superficial tissues to define the 3-dimensional surface musculature in a wide range of patients. However, it is a difficult and time-consuming procedure with a high learning curve that is appropriate only for highly experienced surgeons.
The authors were able to achieve natural results with this new procedure in arm contouring. The technique is safe and effective with reproducible results when performed through multilayer fragmentation and liposuction with an anatomical extraction. Fat grafting can be performed for contouring with no additional complications.
Background:Liposuction of the arms alone may be inadequate for aesthetic improvement because of skin laxity. Radiofrequency-assisted liposuction (RFAL) and aggressive superficial liposuction (SupL) have been described to stimulate soft tissue retraction to improve results. We compare the techniques and describe a classification scheme that factors skin laxity, skin quality, and Fitzpatrick type to provide treatment recommendations.Methods:Ten consecutive female patients underwent RFAL of 1 arm and SupL on the contralateral arm. All patients had Fitzpatrick skin types of III, IV, or V with an average body mass index of 26.0. Using fluorescent tattooing, key points on the arm skin were measured preoperatively and postoperatively to indicate changes in surface area.Results:There were no complications in the group, and all patients reported satisfaction with the aesthetic results. All patients showed reduction of measured skin surface areas and skin distances postoperatively. At 1 year, the measured surface area reductions on the anterior arms averaged 15.0% for RFAL and 10.9% for SupL on the anterior arm skin. Posteriorly, RFAL showed 13.1% reduction and SupL 8.1% reduction in the surface areas at 1 year. Linear reduction for RFAL averaged 22.6% and 17.8% for SupL 1 year postoperatively anteriorly.Conclusion:Both RFAL and SupL of the arms showed quantifiable and sustained reductions in skin surface. Good contour and soft tissue contraction were achieved with both techniques but RFAL with its safety features presents an alternative to SupL, which has a higher complication rate, risk for contour deformities, and steeper learning curve.
Background
Nowadays, corporal perception has evolved among different ethnic groups and a tendency to change from a slim to an athletic shape has been influenced by geography, culture, race, gender, and social media. Although exercise improves health status, physical appearance does as well in the long term. Patients often opt for an immediate solution for which High Definition Liposculpture has been the best choice. However, they differ on their preference regarding muscular definition.
Objectives
We are presenting a new therapeutic algorithm for High Definition Liposculpture in harmony with body biotypes and patients’ preferences.
Methods
We are reporting our experience on 1772 consecutive patients, classified according to their body type in: Endomorph (217), Ectomorph (195), and Mesomorph (1360), and treated according to our new algorithm. Patients in general good health asking for High Definition liposculpture were included, from June 2013 to September 2019. Pre- and postoperative photographs were taken to evaluate results.
Results
A total of 479 men and 1293 women were analyzed. Ages ranged from 23 to 69 years in men and 18 to 57 in women. Variable degree HD liposculpture was successfully performed in all cases. Minor complications included: Port wound dehiscence (1.2%), seroma (4.1%), prolonged bruising (1.5%), and hyperchromia (10.4%). Superficial burns (0.7%), localized infection (0.4%), erratic skin adhesion (1%), and flap necrosis (0.4%) were also reported. A high satisfaction index was reported in a non-standardized patient survey.
Conclusion
Our new algorithm helps in the decision making for High Definition liposculpture according to variable degrees of muscle definition due to patients’ preferences.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.