Preoperative clinical characteristics scoring system for differentiating uterine leiomyosarcoma from fibroid

Abstract

Background: Morcellation may lead to intraperitoneal spread of tumor cells, thus making prognosis of undiagnosed uterine leiomyosarcoma (ULMS) worse. However, preoperative diagnosis of ULMS remains challenging. This study aimed to design a preoperative clinical characteristics scoring system for differentiating ULMS from uterine fibroid. Methods: This study enrolled 45 ULMS patients and 180 uterine fibroid patients in Peking Union Medical College Hospital from January 2013 to December 2018. Results: The incidence of occult ULMS was 0.59% (95% CI, 0.39-0.71%). Age ≥ 40 years old (OR 2.826, 95%CI 1.326-5.461), tumor size ≥7 cm (OR 6.930, 95% CI 2.872-16.724), neutrophil-to-lymphocyte ratio (NLR) ≥ 2.8 (OR 3.032, 95%CI 1.288-7.13), number of platelet ≥298 × 109/L (OR 3.688, 95%CI 1.452-9.266) and lactate dehydrogenase (LDH) ≥ 193 U/L (OR 6.479, 95%CI 2.658-15.792) were independent predictors of ULMS. A preoperative clinical characteristics scoring system was designed based on OR values, with a total score of 7 points. Tumor size ≥7 cm, LDH ≥ 193 U/L were assigned 2 points, while age ≥ 40 years old, NLR ≥ 2.8 and number of platelet ≥298 × 109/L were assigned 1 point. Score ≥ 4 points was a useful predictor in diagnosing ULMS from fibroid (sensitivity 0.800, specificity 0.778). Conclusions: The incidence of occult ULMS was low. Age ≥ 40 years old, tumor size ≥7 cm, LDH ≥ 193 U/L, NLR ≥ 2.8 and number of platelet ≥298 × 109/L were independent predictors of ULMS. The preoperative clinical characteristics scoring system could be helpful in preoperative diagnosis of occult ULMS.