Abstract：Objective To investigate the tissue shear wave velocity (SWV) value of breast cancer with different pathological
characteristics and its early warning value for axillary lymph node metastasis. Methods A total of 105 BC patients from January
2019 to October 2021 were selected as the research objects. The SWV value and dispersion coefficient of patients with different
pathological characteristics were compared. The Logistic regression equation of axillary lymph node metastasis was established and
the Hosmer-Lemeshow goodness of fit test was performed. Receiver operating characteristic (ROC) curve was used to analyze the
effectiveness of SWV in evaluating axillary lymph node metastasis. Results The SWVmean, SWVmax, dispersion coefficient were
related to tumor diameter, type, histological grade, axillary lymph node metastasis, human epidermal growth factor receptor-2 and
proliferation antigen expression (P<0.05). Tumor diameter, histological grade, SWVmean, SWVmax and dispersion coefficient were
related to the rate of axillary lymph node metastasis (P<0.05). SWVmean and dispersion coefficient were independent risk factors
for axillary lymph node metastasis rate (P<0.05). ROC analysis results showed that the area under curve value of SWVmean and the
dispersion coefficient combined to predict axillary lymph node metastasis was greater than the single index prediction value of
SWVmean (χ2=2.210, P=0.027) and the dispersion coefficient (χ2=2.685, P=0.007). Conclusion SWV is associated with breast cancer
pathological characteristic. SWVmean and dispersion coefficient are independent risk factors of axillary lymph node metastasis. The
combination of the two can improve the evaluation performance of axillary lymph node metastasis in breast cancer patients.
于珊珊a，陈坤a，孟杰a，马强b，马跃c. 不同乳腺癌组织SWV值及对腋窝淋巴结
转移的定量预警[J]. 中国医疗设备, 2023, 38(4): 143-148.
YU Shanshana, CHEN Kuna, MENG Jiea, MA Qiangb, MA Yuec. SWV Values in Different Breast Cancer Tissues and Quantitative Early Warning for
Axillary Lymph Node Metastasis. China Medical Devices, 2023, 38(4): 143-148.
