CT-based body composition analysis to study the effect of visceral obesity on postoperative complications in ovarian cancer: implications for young patients
Ovarian cancer is characterized by high morbidity and mortality, with surgery remaining the primary treatment modality. The occurrence of postoperative complications significantly impacts patient prognosis and quality of life. As cancer increasingly affects younger individuals, it is crucial to consider age-related differences. Meanwhile, epidemiology suggests a high prevalence of obesity among females. This study aims to evaluate the effect of visceral obesity (VO), diagnosed using computed tomography (CT)-based body composition analysis, on postoperative complications. A total of 309 patients operated between 2017 and 2022 were included in this study. Patients were stratified into two age groups: ≤65 years (younger group) and > 65 years (older group). The receiver operating characteristic (ROC) curve was employed to determine the threshold value for VO. Univariate and multivariate analyses were conducted to identify risk factors associated with postoperative complications. According to the cut-off value, the incidence of postoperative complications was significantly higher in younger patients with VO compared to the non-VO group (56% vs. 36%, p < 0.01), whereas no difference was observed in older age groups. VO (OR = 1.980, p = 0.031), total protein < 65 g/L (OR = 3.704, p = 0.045), primary debulking surgery (PDS) (OR = 0.369, p = 0.026), duration of surgery (OR = 1.004, p = 0.006) and intraoperative bleeding volume (OR = 1.003, p < 0.01) were identified as independent predictors of postoperative complications in the younger age group. International Federation of Gynecology and Obstetrics (FIGO) stage for III or IV (OR = 4.00, p = 0.029) remained as the only independent predictor for the older age group. In young ovarian cancer patients, VO may serve as a predictor for postoperative complications, and appropriate preventive measures may be beneficial in reducing the incidence of postoperative complications.