Application of Anthropometric Measurements in Assessing Lower Extremity Volume for Fat Grafting in the Treatment of Lower Extremity Asymmetry Caused by Poliomyelitis
摘要
Lower extremity asymmetry caused by poliomyelitis sequelae presents persistent aesthetic and psychosocial challenges. Accurate assessment of limb volume discrepancy is essential for planning liposuction combined with autologous fat grafting; yet, practical methods for precise volume assessment remain limited in clinical settings.
ObjectivesThe authors of this study aim to evaluate the clinical utility of anthropometric measurement for estimating lower extremity volume discrepancy and guiding surgical planning.
MethodsA retrospective analysis was conducted on nine patients with lower extremity asymmetry secondary to poliomyelitis who underwent surgical correction between 2023 and 2025. Preoperative thigh and calf volumes were estimated using a truncated cone-based anthropometric model. The surgical procedure involved liposuction of the contralateral thicker limb and fat grafting to the atrophic limb. The accuracy of this method was assessed against three-dimensional scanning. Estimated aspirated and injected fat volumes were compared with intraoperative values. Postoperative volume changes and patient-reported outcomes were analyzed.
ResultsAnthropometric measurement demonstrated over 95% accuracy against 3D scanning. The mean preoperative volume discrepancy was 1693 ± 584 mL in the thigh and 324 ± 167 mL in the calf. Estimated and intraoperative fat volumes demonstrated high consistency (intraclass correlation coefficient > 0.75, P < 0.01 for all comparisons). At 6 months postoperatively, volume discrepancy was reduced by 81.1% in the thigh and 88.4% in the calf. Patient satisfaction and clothing confidence improved significantly.
ConclusionsAnthropometric measurement is a simple, cost-effective, and clinically practical method for estimating lower extremity volumes and guiding surgical correction of asymmetry.
Level of Evidence IVThis 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.