Objective To explore the diagnostic value of qualitative and quantitative parameters of breast CEUS in differentiating benign and malignant breast nodules. Methods 233 cases of breast nodules confirmed by ultrasound-guided biopsy or pathology after operation were selected, including 95 cases of malignant nodules and 138 cases of benign nodules. Through contrast-enhanced ultrasound examination, the qualitative and quantitative parameters of breast lesions were observed, and univariate analysis was carried out. Statistically significant qualitative and quantitative parameters were screened for binary logistic regression analysis, and ROC curve was obtained to evaluate the effectiveness of ROC curve in the diagnosis of malignant nodules. Results Univariate analysis showed that CEUS enhancement intensity, enhancement speed, morphology, enhancement range, enhancement boundary, burr, perfusion defect and Pak% were important parameters for the diagnosis of malignant breast nodules (P < 0.05). Logistic regression analysis showed that the optimized diagnostic indexes and parameters were the enhanced range, whether there was perfusion defect, whether there were burrs, the enhanced boundary and the enhanced morphology (P < 0.05). The accuracy of logistic regression model in predicting malignant breast nodules was 81.5%, the area under ROC curve was 0.894, and the sensitivity and specificity were 0.811 and 0.841, respectively. Conclusion The logistic regression model established by CEUS enhancement range, perfusion defect, burr, post-enhancement boundary and post-enhancement morphology is helpful for the diagnosis of breast cancer.