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.