Performance of the IOTA ADNEX model in preoperative discrimination of adnexal masses in a gynecological oncology center.

OBJECTIVE: To evaluate the performance of the International Ovarian Tumor Analysis (IOTA) ADNEX model in the preoperative discrimination between benign ovarian (including tubal and para-ovarian) tumors, borderline ovarian tumors (BOT), Stage I ovarian cancer (OC), Stage II-IV OC and ovarian metastasis in a gynecological oncology center in Brazil. METHODS: This was a diagnostic accuracy study including 131 women with an adnexal mass invited to participate between February 2014 and November 2015. Before surgery, pelvic ultrasound examination was performed and serum levels of tumor marker CA 125 were measured in all women. Adnexal masses were classified according to the IOTA ADNEX model. Histopathological diagnosis was the gold standard. Receiver-operating characteristics (ROC) curve analysis was used to determine the diagnostic accuracy of the model to classify tumors into different histological types. RESULTS: Of 131 women, 63 (48.1%) had a benign ovarian tumor, 16 (12.2%) had a BOT, 17 (13.0%) had Stage I OC, 24 (18.3%) had Stage II-IV OC and 11 (8.4%) had ovarian metastasis. The area under the ROC curve (AUC) was 0.92 (95% CI, 0.88-0.97) for the basic discrimination between benign vs malignant tumors using the IOTA ADNEX model. Performance was high for the discrimination between benign vs Stage II-IV OC, BOT vs Stage II-IV OC and Stage I OC vs Stage II-IV OC, with AUCs of 0.99, 0.97 and 0.94, respectively. Performance was poor for the differentiation between BOT vs Stage I OC and between Stage I OC vs ovarian metastasis with AUCs of 0.64. CONCLUSION: The majority of adnexal masses in our study were classified correctly using the IOTA ADNEX model. On the basis of our findings, we would expect the model to aid in the management of women with an adnexal mass presenting to a gynecological oncology center. Copyright © 2016 ISUOG. Published by John Wiley & Sons Ltd.

Ultrasound criteria and CA 125 as predictive variables of ovarian cancer in women with adnexal tumors.

OBJECTIVES: To evaluate the capacity to predict malignancy in women with adnexal tumors using CA 125 measurement and ultrasound criteria. METHODS: This was a cross-sectional study including 103 women with a total of 110 adnexal tumors. CA 125 level was measured in a sample of peripheral blood. Lesions were classified by ultrasound, using standardized predetermined criteria, as benign (B) or malignant (M). Those that could not be classified by these criteria were assessed subjectively. Histopathologic examination of surgical specimens was used as the gold standard. RESULTS: Of 110 tumors, 79 (71.8%) were benign and 31 (28.2%) were malignant on histopathology. Ultrasound criteria could be applied to 91 (82.7%) tumors, resulting in a sensitivity of 90%, specificity of 87%, positive predictive value (PPV) of 69% and negative predictive value (NPV) of 97%. In tumors not classifiable according to ultrasound criteria, subjective sonographic assessment gave a sensitivity of 67%, specificity of 80%, PPV of 75% and NPV of 73%. At a cut-off point of 37.4 U/mL, CA 125 had a sensitivity of 69%, a specificity of 87.8%, a PPV of 69% and a NPV of 88% for detection of malignancy. When CA 125 was associated with age and ultrasound criteria in a logistic regression model, the sensitivity and specificity increased in the subset of sonographically malignant tumors. CONCLUSION: The majority of tumors were correctly classified using ultrasound criteria. CA 125 alone performed worse than did ultrasound in discriminating malignant from benign adnexal tumors. CA 125 measurement contributed to the diagnosis of malignancy, improving overall specificity, only in sonographically malignant tumors.