Preoperative diagnosis of ovarian tumors using Logistic model / 中华超声影像学杂志

ABSTRACT

Objective To assess the diagnostic value of Logistic model in differentiating between malignant and benign ovarian lesions. Methods Thirty-five indexes of clinical and ultrasound data were recorded in 601 ovarian lesions confirmed by surgical pathology. The Logistic model was developed on a training set( n - 400) and tested on a test set( n = 201). Results Variable selection resulted in a set of 10 variables for the models personal history of ovarian cancer, maximal diameter of the lesion, maximal diameter of the solid component, multilocular-solid tumor, solid tumor, ascites, flow within papillation, irregular walls, very strong intratumoral blood flow (i. e. color score 4) and acoustic shadows. Test set area under the receiver-operating characteristics curve was 0.963 with a sensitivity 93.9% and a specificity 93. 1 %. Conclusions Logistic model can accurately separate malignant from benign ovarian masses.