LAUSR

Simple Summary In patients with adnexal masses, classification into benign or malignant tumors is essential for optimal treatment planning, but remains challenging. In the search for new models applicable in a routine clinical setting, we compared classical single parameters to multiparameter predictive models. Abstract Discrimination between benign and malignant adnexal masses is essential for optimal treatment planning, but still remains challenging in a routine clinical setting. In this retrospective study, we aimed to compare albumin as a single parameter to calculate models by analyzing laboratory parameters of 1552 patients with an adnexal mass (epithelial ovarian cancer (EOC): n= 294; borderline tumor of the ovary (BTO): n = 66; benign adnexal mass: n = 1192) undergoing surgery. Models comprising classical laboratory parameters show better accuracies (AUCs 0.92–0.93; 95% CI 0.90–0.95) compared to the use of single markers, and could easily be implemented in clinical practice by containing only readily available markers. This has been incorporated into a nomogram.