机构：[1]Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.医技科室放射科首都医科大学附属北京同仁医院首都医科大学附属同仁医院[2]Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China.
The study was supported by National Health Commission’s Capacity Building and Continuing Education Center (No. YXFSC2022JJSJ009); Beijing Municipal Administration of Hospitals’ Ascent Plan (No. DFL20190203); Beijing Postdoctoral Research Foundation (No. 2023- ZZ-027); National Key R&D Program of China (No. 2022YFC2404005).
第一作者机构：[1]Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.
通讯作者：
推荐引用方式(GB/T 7714)：
Wang Guorong,Qu Xiaoxia,Guo Jian,et al.Radiomics and machine learning model can improve the differentiation between ocular adnexal lymphoma and idiopathic orbital inflammation[J].Chinese Medical Journal.2025,138(2):234-236.doi:10.1097/CM9.0000000000003356.
APA：
Wang Guorong,Qu Xiaoxia,Guo Jian,Luo Yongheng&Xian Junfang.(2025).Radiomics and machine learning model can improve the differentiation between ocular adnexal lymphoma and idiopathic orbital inflammation.Chinese Medical Journal,138,(2)
MLA：
Wang Guorong,et al."Radiomics and machine learning model can improve the differentiation between ocular adnexal lymphoma and idiopathic orbital inflammation".Chinese Medical Journal 138..2(2025):234-236
