Value of ultrasound combined with pathological parameters in predicting axillary lymph node metastasis in breast cancer
10.3760/cma.j.cn131148-20211217-00930
- VernacularTitle:超声联合病理参数预测乳腺癌腋窝淋巴结转移的价值
- Author:
Tian SANG
1
;
Xuegang REN
;
Ye WANG
;
Yuwen CAO
;
Qiaoli LI
;
Linan SHI
;
Wenxiao LI
;
Jun LI
Author Information
1. 石河子大学医学院第一附属医院超声科，石河子 832008
- Keywords:
Ultrasonography;
Breast cancer;
Elastography;
Lymph node metastasis;
Immunohistochemistry
- From:
Chinese Journal of Ultrasonography
2022;31(8):691-697
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the value of conventional ultrasound, shear wave elastic parameters and immunohistochemistry in predicting axillary lymph node metastasis of breast cancer.Methods:The ultrasonographic features and pathological results of 172 masses in 152 breast cancer patients who underwent surgery in the First Affiliated Hospital of Shihezi University Medical College from May to October 2020 were analyzed retrospectively. The patients were divided into metastatic group and non-metastatic group according to the status of axillary lymph nodes. The conventional ultrasound characteristics, shear wave velocity (SWV) and immunohistochemical indexes (ER, PR, HER-2, Ki-67) of 2 groups of breast cancer masses were analyzed. Finally, the parameters with statistically significant difference between groups were selected and the Logistic regression model was established.Results:There were significant differences in the aspect ratio, calcification, SWVmean and HER-2 expression between metastatic group and non-metastatic group (all P<0.05). A prediction model was constructed with aspect ratio >1, calcification, high SWVmean and HER-2(+ ). The area under receiver operating characteristic curve (AUC) of the subjects was 0.891, which was larger than the single parameter (all P<0.05), and was in good agreement with pathological results (Kappa=0.731). Conclusions:The joint prediction model can be used to predict the status of lymph nodes, and the axillary lymph node metastasis is more likely to occur in breast cancer with the aspect ratio >1, calcification, high SWVmean and HER-2(+ ).
