A Web-based Tool for Liposuction Endpoints and Postoperative Results: A Quantitative Prediction Model for Thigh Circumferential Liposuction

Background: The endpoint of liposuction surgery in a current clinical dilemma. The liposuction volume (LV) should be individualized according to each patient's objective and subjective needs. Objectives: To create a mathematical model to quantitatively predict the change ratio of thigh circumference to LV. Methods: In this retrospective cohort study, 122 patients who underwent circumferential liposuction of the thigh between July 2018 and June 2022 at a single center were included. Preoperative demographic variables and operative details were analyzed using linear regression to construct the prediction model. Results: Body mass index (BMI), body fat rate (BFR), greatest thickness of subcutaneous adipose tissue (SAT) at the horizontal level at the innermost point via the groin (T-upper), and LV were independent predictors of the change ratio of the horizontal circumference at the innermost point via the groin (RC-upper). The linear regression model resulted in the following predictive equation: RC-upper = −1.0072 + 0.3225 × BMI − 0.1885 × BFR + 0.6721 × T-upper + 0.0015 × LV. Conclusion: This personalized prediction model can be used in daily clinical practice to rationalize surgical expectations and to quantitatively assess surgeons' preoperative designs.

背景：当前临床中，吸脂手术的核心困境在于手术终点的精准界定。吸脂量（liposuction volume, LV）需结合每位患者的客观与主观需求进行个体化定制。研究目的：构建数学模型，以定量预测大腿围度变化率与吸脂量的比值关系。方法：本研究为单中心回顾性队列研究，纳入2018年7月至2022年6月期间于本中心接受大腿环周吸脂术的122例患者。通过线性回归分析术前人口学变量与手术细节，构建该预测模型。结果：体质量指数（Body mass index, BMI）、体脂率（body fat rate, BFR）、经腹股沟最内侧点水平位的皮下脂肪组织最大厚度（subcutaneous adipose tissue, SAT，记为T-upper）以及LV均为经腹股沟最内侧点水平位的大腿水平围度变化率（the horizontal circumference at the innermost point via the groin, RC-upper）的独立预测因子。本线性回归模型得到如下预测方程：RC-upper = −1.0072 + 0.3225 × BMI − 0.1885 × BFR + 0.6721 × T-upper + 0.0015 × LV。结论：本个体化预测模型可应用于日常临床实践，用于合理设定患者的手术预期，并定量评估外科医师的术前手术设计。