Research On Sonographic Features Of Breast Ultrasound Combined With Immunohistochemistry And Axillary Lymph Node Metastasis

Objective:The present project aims to explore the correlations and clinical values of sonographic features of breast ultrasound, immunohistochemical results and axillary lymph node metastasis through analyzing the sonographic signs of breast cancer and detecting tumor micro-vessel density (MVD) value by immunohistochemistry.Methods:Samples were collected from88cases of patients who had been pathologically confirmed with breast cancer. These samples were all single masses in the primary lesions.88cases of patients with breast cancer underwent preoperative ultrasound examination and analysis of sonographic features of mass and axilla. Postoperatively, MVD values were detected by immunohistochemistry, so as to determine its correlation to axillary lymph node metastasis. The correlations between the sonographic features of breast ultrasound and axillary lymph node metastasis, between the MVD value and axillary lymph node metastasis were observed, respectively. The sonographic features of breast ultrasound and immunohistochemical results were considered as the independent variables, while axillary lymph node metastases were as the dependent variable. Dichotomy non-conditional Logistic regression analysis was used to screen the risk factors of axillary lymph node metastasis. The results were evaluated using receiver operating curve (ROC) curve.Results:The classification of blood flow in primary breast tumors, the maximum of cortical thickness in axillary lymph nodes and the MVD count of primary lesions had important hinting roles in judging axillary lymph node metastasis. The classification (Ⅱ III level) of blood flow in tumor was positively correlated to the metastasis rate of axillary lymph nodes (OR=33.445, P=0.005); the occurrence rate of axillary lymph node metastasis with the maximum of cortical thickness in axillary lymph nodes not less than3mm was increased up to46.964times compared with those with the maximum cortical thickness less than3mm; the MVD count in the axillary lymph node metastasis group was96.879times as the non-metastasis group; ROC curve was used to evaluate the Logistic regression, indicating that the classification (Ⅱ-Ⅲ level) of blood flow in primary breast tumors, the maximum of cortical thickness (≥3mm) in axillary lymph nodes and the MVD count were risk factors leading to axillary lymph node metastasis in breast cancer.Conclusion:This study showed the diagnosis of axillary lymph node metastases required comprehensive judgment of multiple indicators. Axillary lymph node metastases was highly correlated to the classification of blood flow in primary breast tumors, the maximum of cortical thickness in axillary lymph nodes, and the MVD value in tumors. At the same time, it was also showed that the classification of blood flow could indirectly reflect angiogenic activity in tumors; the classification of blood flow in primary breast tumors was positively correlated to the MVD value, i.e., the higher the classification of blood flow was, the higher the MVD value was, which could indirectly reflect the degree of malignancy tumor and axillary lymph node metastasis, providing guidelines for clinical diagnosis and treatment.