A novel diagnostic nomogram based on serological and ultrasound findings for preoperative prediction of malignancy in patients with ovarian masses

• Published in: Gynecologic oncology Vol. 160; no. 3; pp. 704 - 712
• Main Authors: Guo, Yunyun, Jiang, Tengjia, Ouyang, Linglong, Li, Xiaohui, He, Weipeng, Zhang, Zuwei, Shen, Hongwei, You, Zeshan, Yang, Guofen, Lai, Huiling
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.03.2021
• Subjects: Diagnosis; Hematology, Oncology, and Palliative Medicine; Nomogram; Obstetrics and Gynecology; Ovarian mass; Risk of malignancy; Ovarian mass; Risk of malignancy; Diagnosis; Nomogram

To develop a novel diagnostic nomogram model to predict malignancy in patients with ovarian masses. In total, 1277 patients with ovarian masses were retrospectively analyzed. Receiver operating characteristic (ROC) analysis was performed to identify valuable predictive factors. Univariate and multiv...