Chinese guideline for the application of rectal cancer staging recognition systems based on artificial intelligence platforms (2021 edition)

作     者：Yuan Gao Yun Lu Shuai Li Yong Dai Bo Feng Fang-Hai Han Jia-Gang Han Jing-Jing He Xin-Xiang Li Guo-Le Lin Qian Liu Gui-Ying Wang Quan Wang Zhen-Ning Wang Zheng Wang Ai-Wen Wu Bin Wu Ying-Chi Yang Hong-Wei Yao Wei Zhang Jian-Ping Zhou Ai-Min Hao Zhong-Tao Zhang Colorectal Surgery Group of the Surgery Branch in the Chinese Medical Association Beihang University State Key Laboratory of Virtual Reality Technology and Systems Gao Yuan;Lu Yun;Li Shuai;Dai Yong;Feng Bo;Han Fang-Hai;Han Jia-Gang;He Jing-Jing;Li Xin-Xiang;Lin Guo-Le;Liu Qian;Wang Gui-Ying;Wang Quan;Wang Zhen-Ning;Wang Zheng;Wu Ai-Wen;Wu Bin;Yang Ying-Chi;Yao Hong-Wei;Zhang Wei;Zhou Jian-Ping;Hao Ai-Min;Zhang Zhong-Tao;Colorectal Surgery Group of the Surgery Branch in the Chinese Medical Association;Beihang University State Key Laboratory of Virtual Reality Technology and Systems

作者机构：Department of General SurgeryThe Affiliated Hospital of Qingdao UniversityQingdaoShandong 266555China Beihang University State Key Laboratory of Virtual Reality Technology and SystemsBeijing 100191China Department of General SurgeryQilu Hospital of Shandong UniversityJinanShandong 250012China Department of General SurgeryRuijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200025China Shanghai Minimally Invasive Surgery CenterRuijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200025China Department of Gastrointestinal SurgerySun Yat-sen UniversityGuangzhouGuangdong 510120China Department of General SurgeryBeijing Chaoyang HospitalCapital Medical UniversityBeijing 100020China Institute of International LawChinese Academy of Social SciencesBeijing 100732China Department of Colorectal SurgeryFudan University Shanghai Cancer CenterShanghai 201321China Department of OncologyShanghai Medical CollegeFudan UniversityShanghai 201321China Department of General SurgeryPeking Union Medical College HospitalPeking Union Medical CollegeChinese Academy of Medical SciencesBeijing 100730China National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical SciencesPeking Union Medical CollegeBeijing 100021China Third Hospital of Hebei Medical UniversityShijiazhuangHebei 050051China Department of Colon and Rectum SurgeryThe First Hospital of Jilin UniversityChangchunJilin 130021China Department of Surgical Oncology and General SurgeryKey Laboratory of Precision Diagnosis and Treatment of Gastrointestinal TumorsMinistry of EducationThe First Affiliated Hospital of China Medical UniversityShenyangLiaoning 110001China Department of Gastrointestinal SurgeryUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubei 430022China Department of Unit III&Ostomy ServiceKey laboratory of Carcinogenesis and Translational Research(Ministry of Education)Gastrointestinal Cancer CenterPeking University Cancer Hospital&InstituteBeijing 100142China Department of General SurgeryPeking Union Medical College HospitalChinese Academy of Medical SciencesPeking Union Medical CollegeBeijing 100730China Department of General SurgeryBeijing Friendship HospitalCapital Medical UniversityBeijing 100050China Beijing Key Laboratory of Cancer Invasion and Metastasis ResearchNational Clinical Research Center of Digestive DiseasesBeijing 100050China Colorectal Surgery DepartmentChanghai HospitalNaval Medical UniversityShanghai 200433China Department of Gastrointestinal Surgery&Hernia and Abdominal Wall SurgeryThe First HospitalChina Medical UniversityShenyangLiaoning 110001China Beijing Advanced Innovation Center for Biomedical EngineeringBeijing 100191China 不详 

出 版 物：《Chinese Medical Journal》 (中华医学杂志（英文版）)

年 卷 期：2021年第134卷第11期

页      面：1261-1263页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：International Practice Guideline Registry(No.IPGRP-2020CN175). 

主　　题：staging artificial replace 

摘      要：Development and Application of Artificial Intelligence Recognition Systems in Rectal Cancer Staging Whether for surgical treatment or for neoadjuvant chemoradiotherapy,imaging evaluation has become an important basis to perform the treatment plans.[1]The reading of imaging results requires a large number of experienced radiologists to complete,but shortages and uneven distributions of personnel cause delays and biases in imaging results.Therefore,independent research and development of automatic recognition systems of rectal cancer staging based on artificial intelligence(AI)platforms aim to partially replace practitioners’work and achieve rapid and accurate identification of rectal cancer staging.