Enhancement patterns and parameters of breast cancers at contrast-enhanced US: correlation with prognostic factors.

PURPOSE: To investigate the correlation between enhancement patterns and parameters of contrast material-enhanced ultrasonography (US) with prognostic factors in breast cancers. MATERIALS AND METHODS: The study was approved by the institutional ethics committee, and written informed consent was obtained. Surgical resection specimens of 74 malignant breast lesions in 74 women (mean age, 55 years; age range, 32-78 years) who had undergone contrast-enhanced US were included. Different contrast enhancement patterns (enhancement degree, order, and margin; internal homogeneity; perfusion defect; and radial or penetrating vessels) and parameters (wash-in time, peak intensity, time to peak, area under the time-intensity curve, ascending slope, and descending slope) were evaluated. Pathologic prognostic factors, including histologic grade, lymph node status, tumor diameter, microvessel density (MVD), estrogen and progesterone receptor status, and c-erb-B2, p53, and Ki-67 expression were determined. Correlation of enhancement patterns and parameters with prognostic factors was analyzed with the Pearson χ2 test, Spearman rank correlation test, and logistic regression analysis. RESULTS: Some enhancement features were associated, albeit not significantly, with prognostic factors. Perfusion defect was the most accurate enhancement criterion for higher histologic grade (grade III) (P=.016), negative estrogen receptor expression (P=.006), positive c-erb-B2 expression (P=.013), larger tumor diameter (≥2 cm) (P=.016), and increased MVD (P=.019). Radial or penetrating vessels were associated with lymph node status (P=.010). Hyperenhancement may be useful in reflecting increased MVD (P=.008) and positive p53 expression (P=.037). For contrast enhancement parameters, ascending slope was the best discrimination criterion for proliferative activity (P=.003). CONCLUSION: Enhancement patterns and parameters of contrast-enhanced US may be useful in the noninvasive prediction of prognostic factors of breast cancers.