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Figure 1 Predictive models for contrast-enhanced ultrasound of malignant breast lesions. A: Hyper-enhancement, enlarged size after enhancement, irregular shape, IDC; B: Hyper-enhancement, centripetal enhancement, enlarged size, present perfusion INPP5D defect (red arrow), ... Figure 2 Predictive models for contrast-enhanced ultrasound of benign breast lesions. A: Hyper-enhancement, equal size after enhancement, regular shape, without penetrating vessels, adenoma; B: Synchronous wash-in with iso-enhancement, can not distinguish margin ... Pathology analysis All patients underwent surgery or core biopsy 1-2 d after the CEUS examination. The pathology findings were used as the final diagnostic standard. Statistical analysis Mean and standard deviation were calculated for con�Ctinuous variables. Dichotomous variables were evaluated with the Pearson ��2 test. A P value of less than 0.05 was considered indicative Selleck RO4929097 of a significant difference. To assess the discriminative ability of the different enhancement patterns and parameters with respect to the prognostic factors, binary logistic regression analysis with stepwise forward variable selection was used (P values for entry and removal were 0.05 and 0.10, respectively). All statistical evaluations were performed with statistical software (SPSS for Windows, version 13.0; SPSS, Chicago, Ill). RESULTS Pathological results There were a total of 235 lesions, of which 96 were benign and 139 were malignant. The lesion types are summarized in Table ?Table11. Table 1 Final pathologic diagnosis of 235 breast lesions Qualitative analysis In our study, 10 enhancement patterns were analyzed. ��2 tests indicated that the differences find more in the 9 enhancement patterns between malignant and benign lesions were statistically significant (P