Risk factors of axillary nodes metastasis in breast cancer and construction of prediction model

Abstract

Objective To analyze the relationship between axillary lymph node metastasis and clinical factors, and to construct a mathematical model of axillary lymph node metastasis in breast cancer patients. Methods Univariate analysis was performed on 423 female patients with breast cancer in terms of age, tumor size, hormone receptor, oncogene, menopause, fertility, tumor location and multifocal nature, and a mathematical diagnostic model for breast cancer axillary lymph node status was constructed by Bayes discrimination. Results The correlation between tumor size and axillary lymph node metastasis showed that the larger the primary tumor was, the more likely the axillary lymph node metastasis, the location of the tumor was also closely related to lymph node metastasis, and the lymph node metastasis rate was highest in patients with polycentric tumor. However, age of onset, hormone receptor, oncogene expression, menopause, fertility, and multifocal tumor could not be independent factors in the determination of axillary lymph node metastasis. The accuracy of self-verification and cross-validation was 89.4% and 74.7% for the mathematical diagnostic model of axillary lymph node shape of breast cancer constructed by Bayes discrimination. Conclusion The location and size of the tumor were independent factors in the determination of lymph node metastasis. The establishment of mathematical function has important clinical significance for the preoperative diagnosis of axillary lymph node metastasis in breast cancer. Key words: Breast carcinoma; Axillary lymph node; Metastasis; Bayes mathematical model