Tehran University of Medical Sciences Iranian Journal of Public Health 2251-6085 49 7 2020 06 30 1262 1268 EN Xiangyu WANG Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China Yinqi GAO Department of Oncology, Capital Medical University Electric Power Teaching Hospital, Beijing, 100073, China Xue YANG Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China Xiangyi KONG Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China Zixing WANG School of Basic Medical Sciences, Jining Medical University, Jining, 272067, China Yi FANG Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China Jing WANG Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China 2018 09 04 2018 10 14 Background: Omitting axillary lymph node dissection (ALND) is recommended for early-stage breast cancer patients with 1-2 sentinel lymph nodes (SLNs) macro-metastases and breast-conserving therapy. However, it is not safe for part of patients, so it is significant to find risk factors and develop a predictive model of non-SLNs metastases in breast cancer patients with 1-2 SLNs macro-metastases and breast-conserving therapy. Methods: This retrospective study enrolled 228 breast cancer patients with 1-2 SLNs macro-metastases who underwent ALND and breast-conserving surgery between Jan 2012 and Dec 2017 at Cancer Hospital Chinese Academy of Medical Sciences. Chi-square test and backward stepwise binary logistic regression were used to find factors that influenced non-SLN metastases, then a predictive model was formulated and obtained its area under the curve. Results: Tumor pathologic invasion size, number of positive SLNs and ALN status on imaging was associated with non-SLNs metastases. The predictive model was also formulated based on these three factors to assess and the area under the curve of model was 0.708. Conclusion: We developed a predictive model to assess the high-risk cohort of patients of non-SLNs metastases which can be an auxiliary tool for doctors. https://ijph.tums.ac.ir/index.php/ijph/article/view/14639 https://ijph.tums.ac.ir/index.php/ijph/article/download/14639/6851