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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 被引量:1

Retrospective study of a clinicopathological model for predicting axillary lymph node metastasis in early breast cancer
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摘要 目的探讨临床病理资料在乳腺癌腋窝淋巴结转移中的意义。方法收集中国医科大学附属第一医院乳腺外科的乳腺癌患者数据,单因素分析确定与腋窝淋巴结转移相关的因素,logistic回归和Kaplan-Meier生存曲线分析1165例患者的临床病理资料与腋窝淋巴结转移的相关性,建立预测模型,并在404例患者中进行验证。结果年龄、体质量指数、肿瘤大小、Ki-67、组织学分级、月经状态和HER2状态与乳腺癌患者的腋窝淋巴结转移相关。结论预测模型可以很好地预测乳腺癌患者腋窝淋巴结转移情况。 Objective To explore the significance of clinicopathological data of breast cancer patients with axillary lymph node metastasis.Methods Data were collected from 1165 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 1165 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.
作者 李志伟 郑新宇 程晓琪 王芳琳 LI Zhiwei;ZHENG Xinyu;CHENG Xiaoqi;WANG Fanglin(Department of Breast Surgery,The First Hospital,China Medical University,Shenyang 110001)
出处 《中国医科大学学报》 CAS CSCD 北大核心 2020年第11期992-996,1001,共6页 Journal of China Medical University
基金 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 breast cancer logistic prediction metastasis
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