Efficacy analysis of a model for predicting axillary lymph node metastasis in breast cancer using Ki67, molecular subtyping, and ultrasonographic parameters
10.3760/cma.j.cn115807-20250125-00042
- VernacularTitle:Ki67、分子分型结合超声参数建立乳腺癌腋窝淋巴结转移模型效能分析
- Author:
Qiaocong LUO
1
;
Zhimei LI
;
Yuling YAO
;
Qiuming WANG
;
Xiaoyuan LI
;
Sirong LAN
Author Information
1. 梅州市人民医院超声科，梅州 514000
- Publication Type:Journal Article
- Keywords:
Cell proliferation index;
Molecular subtyping;
Ultrasonographic parameters;
Breast cancer;
Axillary lymph node metastasis
- From:
Chinese Journal of Endocrine Surgery
2025;19(2):198-202
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the diagnostic value of combining Ki67, molecular subtyping, and ultrasonographic parameters in predicting axillary lymph node metastasis in breast cancer.Methods:200 breast cancer patients who were admitted to Meizhou People’s Hospital from Jan. 2020 to Dec. 2022 were collected. Based on the presence or absence of axillary lymph node metastasis in breast cancer, the patients were divided into an axillary lymph node metastasis group and a non-axillary lymph node metastasis group. Age, clinical stage, tumor location, tumor size, degree of differentiation, boundary, blood flow, echo, calcification, morphology, vascular invasion, Ki67, molecular typing, resistance index (RI) , shear wave velocity were collected. Multivariate Logistic regression analysis was used to screen the risk factors for axillary lymph node metastasis of breast cancer, and receiver operating characteristic curve (ROC) was used to evaluate the clinical value of ki67, molecular typing combined with ultrasound parameters in the diagnosis of axillary lymph node metastasis of breast cancer.Results:There were no statistically significant differences in age, clinical stage, tumor location, tumor size, differentiation degree, boundary, blood flow, echo or calcification between the axillary lymph node metastasis group and the non-axillary lymph node metastasis group ( t=0.80, χ20.13, χ2=0.14, χ2=0.90, χ2=0.64, χ2=1.03, χ2=0.04, χ2=0.34, χ2=1.2, P>0.05) , while there were statistically significant differences in morphology, vascular invasion, Ki67, molecular classification, RI and shear wave velocity between the two groups ( χ2=12.01, χ2=8.75, χ2=11.36, χ2=11.43, t=6.34, t=7.25, P<0.05) . Multivariate Logistic regression analysis showed that vascular invasion, Ki67 high expression, triple negative breast cancer, RI and shear wave velocity were all risk factors for axillary lymph node metastasis ( OR=5.572,4.026,3.632,107.639,1.936, P<0.05) . ROC curve analysis results showed that the AUC of Ki67, molecular typing, RI and shear wave velocity in the diagnosis of axillary lymph node metastasis of breast cancer was 0.620, 0.594, 0.744 and 0.792, respectively, and the AUC of Ki67, molecular typing, RI and shear wave velocity in the diagnosis of axillary lymph node metastasis of breast cancer was 0.846. The AUC of the combination of Ki67, molecular typing, RI and shear wave velocity in the diagnosis of axillary lymph node metastasis of breast cancer was higher than that of Ki67, molecular typing, RI and shear wave velocity alone ( Z=5.55,7.10,3.44,2.45, P<0.05) . Conclusions:High Ki67 expression, triple-negative breast cancer, lymphovascular invasion,RI, and shear wave velocity are all risk factors for axillary lymph node metastasis in breast cancer. The combined use of Ki67, molecular subtype, RI, and shear wave velocity can improve the diagnostic accuracy for axillary lymph node metastasis in breast cancer.
