The ability of different methods to discriminate between benign and malignant adnexal masses has been compared in a meta-analysis showing that the IOTA Simple Rules and the IOTA logistic regression model LR2 were superior to RMI and to all other methods for predicting malignancy in an adnexal mass included in the meta-analysis. However, a fair comparison of methods requires them to be applied on the same tumor population. The general objective of this study is to prospectively validate the Simple Rules, ADNEX, the Simple Rules risk model, LR2, and RMI on a large multicenter dataset to allow direct comparison of these tools. IOTA7 is an international multicenter prospective observational study including different types of ultrasound centers and examiners with different levels of ultrasound experience. In total, about 1700 adnexal masses with histological outcome will be included in IOTA 7.
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Inclusion Criteria: * Any woman presenting with an adnexal mass judged not to be physiological and likely to undergo surgery (primarily planned for surgical management based on subjective assessment by the ultrasound examiner; however, the ultrasound examiner is allowed to change the advised management to conservative management after the results of Simple Rules or ADNEX are known). * Pregnant patients can be included but will be analysed separately. * Patients finally selected for conservative management can be included but will not be used for all statistical analyses. * For patients selected for surgery, delay of surgery is not an exclusion criterion for this study, but for selected objectives only those patients in whom surgery was performed within 180 days after the ultrasound examination will be assessed. * Patients can be selected at any age, but for patients \<18 years old, a guardian's permission should be obtained. * Patients that only underwent transabdominal scanning can be included in the study, but will be analysed separately. Exclusion Criteria: * Previous bilateral adnexectomy * Denial or withdrawal of informed consent