Fibrosis Management Algorithm in Secondary Liposculpture

Author:

Mera-Cruz Giovanni,Durán HéctorORCID,Murillo-Romero NataliaORCID,Pérez MauricioORCID,Rubiano Victoria,Camacho-Domínguez Laura

Abstract

Abstract Background Liposuction is considered one of the most common procedures in plastic surgery. However, major postoperative complications such as visceral injury, fluid overload, and necrotizing fasciitis still occur. Likewise, minor complications such as ecchymosis, seromas, infections, and contour irregularities that do not threaten the life of the patient do generate significant dissatisfaction. Current evidence regarding the management of fibrosis after previous liposuction remains limited. Objectives The objective of this article is to standardize a management algorithm based on the extensive experience and successful results of the primary author (G.M.). Methods Patients who underwent secondary liposculpture between August 2022 and May 2023 were evaluated prospectively. Inclusion criteria comprised females between 18 and 60 years old, nonsmokers, with a BMI < 35 kg/m2 and a history of previous body contouring surgeries. Identification of the patient's skin condition and subcutaneous lesions in the adipose tissue were obtained in detail. Statistical analysis of preoperative and postoperative medical photographs was also performed with the Fiji Biological image analyzer. Results Photographic analysis of preoperative and postoperative photographs showed a statistically significant difference between the areas affected by fibrosis (P < .001). The most frequent clinical findings were depressions in 99% of the females (74), followed by soft nodules in 95% (70), hard nodules in 81% (61), adhesions in 47% (35), and finally cutaneous bursas in 4%. Conclusions Our classification system and management algorithm for fibrosis and contour irregularities is a safe and reliable tool. Results were objectively verified, yielding statistically significant outcomes. Level of Evidence: 3

Publisher

Oxford University Press (OUP)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3