Background: We aimed to analyze the risk factors for non-sentinel lymph node(n SLN)metastasis and validated the clinical values of the Memorial Sloan Kettering Cancer Center(MSKCC)nomogram that predicts n SLN metastasis in sentinel lymph node(SLN)positive patients with breast cancer.Methods: Patient bio data,tumor pathology,and positive SLN characteristics were collected for 287 patients who had positive SLN and underwent completion of axillary lymph node dissection(ALND).The MSKCC breast cancer nomogram tool was used to calculate risk of metastases in all cases.A receiver-operating characteristic(ROC)curve was drawn and predictive accuracy was assessed by calculating the area under the ROC curve.Results: The data was gone through the univariate analysis,that showed that tumor size,lymphovascular invasion,multifocality,number of positive SLNs,number of negative SLNs and percentage of positive SLNs were related to n SLNs metastasis(P?0.05).In addition,multivariate analysis showed that tumor size(P=0.012),multifocality(P=0.031),number of positive SLNs(P?0.001)and number of negative SLNs(P=0.002)were independent predictors for n SLNs metastasis.The ROC curve of the validated the MSKCC breast cancer nomogram in our study of breast cancer population revealed a value of 0.694.Conclusions: The MSKCC model gave lower accuracy for prediction n SLN metastasis in sentinel lymph node positive breast cancer patients in our results. |