| Objective: The aim was to investigate the influencing factors of axillary lymph node metastasis of breast cancer, and establish a Nomogram model to predict the risk of axillary lymph node metastasis.
Methods: The clinicopathological data of 130 breast cancer patients undergoing surgical treatment from 2019 to 2021 in Xiamen Hospital of Traditional Chinese Medicine were prospectively collected, and the microvascular density, microlymphatic vessel density of the cancer tissues were further detected. The status of axillary lymph nodes after surgery was divided into negative group and positive group. The clinical, ultrasonic, molybdenum and pathological parameters were analyzed by univariate and multivariate analysis. The Nomogram prediction model for the risk of axillary lymph node metastasis in breast cancer patients was established by using R language software, and the model was validated by using receiver operating characteristic (ROC) curve.
Results: There were 63 cases with axillary lymph node metastasis and 67 cases without axillary lymph node metastasis. Univariate analysis showed that delayed diagnosis and treatment, lateral location of tumor, suspicious axillary lymph node before surgery, tumor > 2cm and vascular cancer embolus were risk factors for axillary lymph node metastasis. Multivariate analysis showed that delayed diagnosis and treatment, suspicious axillary lymph node before operation and vascular cancer thrombus were independent factors of axillary lymph node metastasis, and these three factors were included in the Nomogram prediction model. Internal validation evaluated the model with an AUC of 0.84(95%CI 0.67-1.00).
Conclusion: Delayed diagnosis and treatment, suspicious axillary lymph node and vascular cancer thrombus are the independent risk factors of axillary lymph node metastasis. This Nomogram prediction model based on these three factors has high accuracy, and has certain value in predicting the risk of axillary lymph node metastasis before surgery. |
