Intratumoral and peritumoral radiomics for preoperative prediction of neoadjuvant chemotherapy effect in breast cancer based on contrast-enhanced spectral mammography

被引：0
作者：
Ning Mao
Yinghong Shi
Chun Lian
Zhongyi Wang
Kun Zhang
Haizhu Xie
Haicheng Zhang
Qianqian Chen
Guanxun Cheng
Cong Xu
Yi Dai
机构：
[1] Qingdao University,Department of Radiology, Yantai Yuhuangding Hospital
[2] Qingdao University,Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital
[3] Peking University Shenzhen Hospital,Department of Radiology
[4] Qingdao University,Department of Breast Surgery, Yantai Yuhuangding Hospital
[5] GE Healthcare,Precision Health Institution
[6] Qingdao University,Physical Examination Center, Yantai Yuhuangding Hospital
来源：
European Radiology | 2022年 / 32卷
关键词：
Breast Neoplasms; Machine Learning; Mammography; Neoadjuvant therapy;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：3207 / 3219
页数：12
相关论文
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James JJ(2020)The diagnostic performance of CESM and CE-MRI in evaluating the pathological response to neoadjuvant therapy in breast cancer: a systematic review and meta-analysis Br J Radiol 93 20200301-163
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