Prediction of Response to Neoadjuvant Chemoradiotherapy Combined with Pembrolizumab in Esophageal Squamous Cell Carcinoma with CT/FDG PET Radiomic Signatures Based on Machine Learning Classification

被引：0
|
作者：
Qi, W. [1 ]
Li, S. [1 ]
Xiao, J. [2 ]
Zhang, W. [3 ]
Mo, Z. [2 ]
He, S. M. [4 ]
Li, H. [5 ]
Chen, J. [6 ]
Zhao, S. [6 ]
机构：
[1] Shanghai Jiaotong Univ Sch Med, Ruijin Hosp, Dept Radiat Oncol, Shanghai, Peoples R China
[2] Shenzhen United Imaging Res Inst Innovat Med Equi, Shenzhen, Peoples R China
[3] Shanghai United Imaging Healthcare Technol Co Ltd, Shanghai, Peoples R China
[4] United Imaging Res Inst Intelligent Imaging, Beijing, Peoples R China
[5] Shanghai Jiaotong Univ Sch Med, Ruijin Hosp, Dept Thorac Surg, Shanghai, Peoples R China
[6] Shanghai Jiao Tong Univ Sch Med, Ruijin Hosp, Shanghai, Peoples R China
来源：
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS | 2023年 / 117卷 / 02期
关键词：
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
2784
引用
收藏
页码：E358 / E359
页数：2
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