Models including serum CA-125, BMI, cyst pathology, dysmenorrhea or dyspareunia for diagnosis of endometriosis

Abstract

Aim: To evaluate preoperative levels of CA-125 and HE4 in patients with endometriosis-like symptoms and to construct diagnostic models. Patients: Prospective case–control study included 124 endometriosis patients and 97 control patients. Materials & methods: Logistic regression was used to construct diagnostic models based on serum biomarker levels and clinical data. Results: A model with CA-125, BMI, information on cysts and dyspareunia had an area under the curve value of 0.836, sensitivity of 74.0% and specificity of 81.3%. The second model included CA-125, BMI, information on cysts and dysmenorrhea and had an area under the curve value of 0.819, sensitivity of 74.8% and specificity of 79.2%. Conclusion: Constructed models have the potential for noninvasive diagnosis of endometriosis, and might be translated into clinical practice after additional validation.