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.