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The most useful complex models were International Ovarian Tumor Analysis (IOTA) sonographic logistic regression model 2 (area under the curve, 0.949), risk of malignancy index\u2013cancer antigen 125\u2013human epididymis protein 4 (0.950), risk of malignancy algorithm (0.953), pelvic mass score (0.960), non\u2010IOTA logistic regression model (0.970), and histoscanning score logistic regression model (0.970). None of the indices was superior to an expert subjective sonographic assessment (0.968). For women with adnexal tumors, indices with high accuracy are available that are applicable in clinical practice and comparable to an expert subjective sonographic assessment for discriminating benign from malignant masses.<\/jats:p>","DOI":"10.7863\/ultra.34.2.207","type":"journal-article","created":{"date-parts":[[2015,1,22]],"date-time":"2015-01-22T22:44:34Z","timestamp":1421966674000},"page":"207-217","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Usefulness of Diagnostic Indices Comprising Clinical, Sonographic, and Biomarker Data for Discriminating Benign From Malignant Ovarian 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