Multivariate Analysis of Non-sentinel Lymph Node Status in Breast Cancer Patients with Positive Sentinel Lymph Node

Objective To study the factors influencing non-sentinel lymph node (NSLN) status in patients with SLN-positive breast cancer and to establish a predictive model. Methods Clinicopathological data of 285 breast cancer cases with positive sentinel lymph node were collected.The 13 factors were analyzed by Logistic regression．Predictive model was established for judging matastasis.The sensitivity，specificity and accuracy of the Logistic model were calculated. Results Univariate logistic regression revealed significant correlation between six variables and NSLN metastasis.The six variables were tumor size（OR=1.45，P<0.01）,size of positive SLNs（OR=2 078.49，P<0.01）,number of positive SLNs (OR=2.44，P<0.01),number of negative SLNs (OR=0.19，P<0.01),vascular invasion (OR=11.45，P<0.01),and positive SLN membrane invasion (OR=74.34，P<0.01).The size of primary tumor,vascular invasion,number of negative SLNs and size of positive SLNs as well as its membrane invasion were significantly related to NSLN metastasis (P<0.05).The rate of sensitivity,specificity and correction classified of the logistic model were 92.62％,89.15％ and 91.01%,respectively. Conclusion The model of 5 predictive factors are reliable in predicting the NSLN status and guiding clinical treatment in SLN-positive breast cancer.