内科学
肿瘤科
列线图
比例危险模型
新辅助治疗
生存分析
存活率
危险系数
接收机工作特性
队列
作者
Yuming Jiang,Cheng Jin,Heng Yu,Jia Wu,Chuanli Chen,Qingyu Yuan,Weicai Huang,Yanfeng Hu,Yikai Xu,Zhiwei Zhou,George A. Fisher,Guoxin Li,Ruijiang Li
出处
期刊:Annals of Surgery
[Ovid Technologies (Wolters Kluwer)]
日期:2021-12-01
卷期号:274 (6)
被引量:34
标识
DOI:10.1097/sla.0000000000003778
摘要
Objective:We aimed to develop a deep learning-based signature to predict prognosis and benefit from adjuvant chemotherapy using preoperative computed tomography (CT) images.Background:Current staging methods do not accurately predict the risk of disease relapse for patients with gastric cancer.Metho
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