Intelligent Medicine (May 2021)
Chinese guidelines for the application of colon cancer staging recognition systems based on artificial intelligence platforms (2021)
- Yun Lu,
- Shuai Li,
- Yuan Gao,
- Yong Dai,
- Bo Feng,
- Fanghai Han,
- Jiagang Han,
- Jingjing He,
- Xinxiang Li,
- Guole Lin,
- Qian Liu,
- Guiying Wang,
- Quan Wang,
- Zhenning Wang,
- Zheng Wang,
- Aiwen Wu,
- Bin Wu,
- Yingchi Yang,
- Hongwei Yao,
- Wei Zhang,
- Jianping Zhou,
- Aimin Hao,
- Zhongtao Zhang
Affiliations
- Yun Lu
- Department of General Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266003, China
- Shuai Li
- Beihang University State Key Laboratory of Virtual Reality Technology and Systems, Beijing 100191, China
- Yuan Gao
- Department of General Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266003, China
- Yong Dai
- Department of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong 250012, China
- Bo Feng
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200020, China; Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200020, China
- Fanghai Han
- Department of Gastrointestinal Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510120, China
- Jiagang Han
- Department of General Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100027, China
- Jingjing He
- Institute of International Law, Chinese Academy of Social Sciences, Beijing 102442, China
- Xinxiang Li
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Guole Lin
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- Qian Liu
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- Guiying Wang
- Third Hospital of Hebei Medical University, Shijiazhuang, Hebei 50051, China
- Quan Wang
- Department of Colon and Rectum Surgery, The First Hospital of Jilin University, Changchun, Jilin 130031, China
- Zhenning Wang
- Department of Surgical Oncology and General Surgery, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China
- Zheng Wang
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Aiwen Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Unit III & Ostomy Service, Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, Beijing 100142, China
- Bin Wu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100730, China
- Yingchi Yang
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China; Beijing Key Laboratory of Cancer Invasion and Metastasis Research and National Clinical Research Center of Digestive Diseases, Beijing 100050, China
- Hongwei Yao
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China; Beijing Key Laboratory of Cancer Invasion and Metastasis Research and National Clinical Research Center of Digestive Diseases, Beijing 100050, China
- Wei Zhang
- Colorectal Surgery Department, Changhai Hospital, Naval Medical University, Shanghai 200433, China
- Jianping Zhou
- Department of Gastrointestinal Surgery & Hernia and Abdominal Wall Surgery, The First Hospital, China Medical University, Shenyang, Liaoning 110001, China
- Aimin Hao
- Beihang University State Key Laboratory of Virtual Reality Technology and Systems, Beijing 100191, China; Beijing Advanced Innovation Center for Biomedical Engineering, Beijing 100083, China; Corresponding authors: Zhongtao Zhang, Department of General Surgery, Beijing Friendship Hospital, Capital Medical University; Branch Center of General Surgery, National Clinical Research Center for Digestive Diseases; Capital Medical University, Clinical Center for Colorectal Cancer, Beijing 100050, China (Email:[email protected]); Aimin Hao, Beihang University State Key Laboratory of Virtual Reality Technology and Systems, Beijing Advanced Innovation Center for Biomedical Engineering, Beijing 100191, China (Email:[email protected]).
- Zhongtao Zhang
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China; Beijing Key Laboratory of Cancer Invasion and Metastasis Research and National Clinical Research Center of Digestive Diseases, Beijing 100050, China; Corresponding authors: Zhongtao Zhang, Department of General Surgery, Beijing Friendship Hospital, Capital Medical University; Branch Center of General Surgery, National Clinical Research Center for Digestive Diseases; Capital Medical University, Clinical Center for Colorectal Cancer, Beijing 100050, China (Email:[email protected]); Aimin Hao, Beihang University State Key Laboratory of Virtual Reality Technology and Systems, Beijing Advanced Innovation Center for Biomedical Engineering, Beijing 100191, China (Email:[email protected]).
- Journal volume & issue
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Vol. 1,
no. 1
pp. 37 – 42
Abstract
The incidence and mortality of colon cancer in China are increasing each year. At present, treatment selection for colon cancer patients mainly depends on imaging results, which require a large number of radiologists to interpret. In China, there is a shortage and uneven distribution of experienced radiologists, which leads to delays and bias in the evaluation of imaging data. Based on these considerations, the Colorectal Surgery Group of the Surgery Branch of the Chinese Medical Association in collaboration with experts at Beihang University has independently developed an artificial intelligence (AI)-based recognition system for the preoperative determination of colon cancer stage to partially replace the work of and relieve the pressure on radiologists. These guidelines aim to standardize the use of AI-based recognition systems in the preoperative staging of colon cancer and guide their clinical application.
