临床病理模型预测早期乳腺癌腋窝淋巴结转移的回顾性研究
李志伟, 郑新宇, 程晓琪, 王芳琳中国医科大学附属第一医院乳腺外科, 沈阳 110001
收稿日期:
2020-01-02出版日期:
2020-11-30发布日期:
2020-10-31通讯作者:
郑新宇E-mail:xyzheng@cmu.edu.cn作者简介:
李志伟(1994-),男,硕士研究生.基金资助:
辽宁省自然科学基金(20180551215);中国健康促进基金会乳腺癌防治专项基金(CHPF-RX0180301)关键词: 乳腺癌, logistic, 预测, 转移
Abstract: Objective To explore the significance of clinicopathological data of breast cancer patients with axillary lymph node metastasis. Methods Data were collected from 1 165 breast cancer patients in The First Hospital Of China Medical University, Department of Breast Surgery,and single-factor analysis was performed to determine axillary lymph node metastasis. Logistic regression and Kaplan-Meier survival curves were used to analyze the correlation between clinicopathological data and axillary lymph node metastasis in all 1 165 patients. A predictive model was established,and validation was performed using the data of 404 patients. Results Age,body mass index,tumor size,Ki-67,histological grade,menstrual status,and HER2 status were correlated with the occurrence of axillary lymph node metastases in patients with breast cancer. Conclusion The prediction model can predict the occurrence of axillary lymph node metastasis in breast cancer patients.
Key words: breast cancer, logistic, prediction, metastasis
PDF全文下载地址:
https://journal.cmu.edu.cn/CN/article/downloadArticleFile.do?attachType=PDF&id=2631