Abstract
The purpose of this study was to evaluate HE4, CA125, progesterone (Prog), and estradiol (E2) for differentiating pelvic masses in postmenopausal women and aimed to build a multi-marker model which may improve the diagnostic value. HE4, CA125, Prog, and E2 were detected in 57 benign pelvic masses (BPM) and 92 epithelial ovarian cancer (EOC) patients. A total of 66.66% of the BPM and EOC serum samples were used for building the differentiation model, and the remaining 33.33% of the BPM and EOC serum samples were used for validation of the differentiation model. After comparing by Z score statistics, HE4 + CA125 + E2 model was chosen as the best multi-marker model. In the training group, the area under curve of the HE4 + CA125 + E2 model was 0.97 (0.93, 1.00), sensitivities of the model for distinguishing BPM from EOC, from early EOC, and from advanced EOC were 90.16, 86.21, and 95.65%; specificities were 92.11, 92.11, and 92.11%. In the validation group, sensitivities of HE4 + CA125 + E2 model for distinguishing BPM from EOC, from early EOC, and from advanced EOC were 96.77, 100.00, and 87.50%, specificities were 84.21, 100.00, and 84.21%. The multi-marker model showed significant improvement when compared to CA125 or HE4, and it might be an effective pelvic mass differentiation method.
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