Predictive Factor of Conversion to Laparotomy in Minimally Invasive Surgical Staging for Endometrial Cancer

ObjectiveThe aim of the study was to identify risk factors associated with laparotomy conversion during total laparoscopic hysterectomy for endometrial cancer.MethodsThis is a retrospective study examining endometrial cancer cases that underwent hysterectomy-based surgical staging initiated via conventional laparoscopic approach. Factors related to patient, tumor, and surgeon were examined to establish risk of laparotomy conversion using a multivariate logistic regression model.ResultsThere were 251 cases identified including 30 cases (12.0%) of laparotomy conversion. The most common indication for laparotomy conversion was a large uterus (27.0%), followed by extensive adhesions (24.3%) and surgical complications (18.9%). Outcomes of cases resulting in laparotomy conversion include longer surgical time (333 vs 224 minutes, P < 0.001), larger blood loss (350 vs 100 mL, P < 0.001), longer hospital stay (4 vs 2 days, P < 0.001), and increased risk of hospital readmission (10% vs 1.4%, P = 0.024). In multivariate analysis, morbid obesity (odds ratio [OR], 4.51; P = 0.011), suboptimal pelvic examination or enlarged uterus during preoperative evaluation (OR, 3.55; P = 0.034), para-aortic lymphadenectomy (OR, 10.5; P = 0.001), uterine size 250 g or greater (OR, 3.49; P = 0.026), and extrauterine disease (OR, 4.68; P = 0.012) remained the independent predictors for laparotomy conversion. The following numbers of risk factors were significantly correlated with laparotomy-conversion rate: none, 1.1%; single risk factor, 5.3% (OR, 5.00; P = 0.15); double risk factors, 21.7% (OR, 24.9; P = 0.002); and triple or more risk factors, 50% (OR, 90.0; P < 0.001). Ultrasonographic 3-dimensional volumes of 496 cm3 in preoperative uterine size correlate with actual uterine weight of 250 g (Y = 61.5 + 0.38X, P < 0.001).ConclusionsLaparotomy conversion significantly impacts outcomes of patients with endometrial cancer. In this setting, our predictive model for laparotomy conversion will be useful to guide the surgical management of endometrial cancer.