Affiliations: Department of Ultrasound, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
Correspondence:
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Corresponding authors: Xiangdong You and Pintong Huang, Department of Ultrasound, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, NO.88, Jiefang Road, Hangzhou, China. E-mails: 2190005@zju.edu.cn (Xiangdong You) and huangpintong@zju.edu.cn (Pintong Huang).
Abstract: OBJECTIVE:To clarify the clinical role of contrast enhanced ultrasound (CEUS) in predicting BI-RADS 4 breast disease. METHODS:A total of 92 sites of BI-RADS 4 breast diseases were reassessed by routine ultrasound and CEUS. The main indicators of routine ultrasound, CEUS and the combination of the two modalities were picked up by binary logistic regression analysis, scoring 0 for benign and 1 for malignant characteristics with pathology as referential standard to generate corresponding score systems of them. Finally, the receiver operating characteristic curves (ROC) were applied to compare the diagnostic efficacy of the three score systems. RESULTS:As pathological results showing, there were 43 malignant and 49 benign sites in total. Binary logistic regression analysis indicated that the margin, micro-calcification, and hyperechoic halo were main indicators for routine ultrasound score system. The scope expansion and pathological vessels in CEUS were main indicators for CEUS score system. The microcalcification, hyperechoic halo, the scope expansion and pathological vessels in CEUS were main indicators for the combination score system of the two modalities. The sensitivity, specificity and the area under ROC curve (AUC) of routine US, CEUS and the combination of the two modalities score systems were 74.4%, 91.8%, 0.885 and 88.4%, 87.8%, 0.901 and 86.0%, 95.9%, 0.937, respectively. CONCLUSION:In summary, CEUS is helpful for us to identify malignant disease and plays a supplementary role in predicting BI-RADS 4 breast disease in some extent. The scope expansion and pathological vessels in CEUS may be the most useful indicators.
