Clinical practice guideline for body composition assessment based on upper abdominal magnetic resonance images annotated using artificial intelligence

作     者：Han Lv Mengyi Li Zhenchang Wang Dawei Yang Hui Xu Juan Li Yang Liu Di Cao Yawen Liu Xinru Wu He Jin Peng Zhang Liqin Zhao Rixing Bai Yunlong Yue Bin Li Nengwei Zhang Mingzhu Zou Jinghai Song Weibin Yu Pin Zhang Weijun Tang Qiyuan Yao Liheng Liu Hui Yang Zhenghan Yang Zhongtao Zhang National Clinical Research Center for Digestive Diseases in Beijing Friendship Hospital,Capital Medical University Beijing Quality Control and Improvement Center of Medical Imaging National Health Commission Capacity Building and Continuing Education Center,Chinese College of Metabolic and Bariatric Surgeons Beijing Quality Control and Improvement Center of Metabolic and Bariatric Surgery Han Lv;Mengyi Li;Zhenchang Wang;Dawei Yang;Hui Xu;Juan Li;Yang Liu;Di Cao;Yawen Liu;Xinru Wu;He Jin;Peng Zhang;Liqin Zhao;Rixing Bai;Yunlong Yue;Bin Li;Nengwei Zhang;Mingzhu Zou;Jinghai Song;Weibin Yu;Pin Zhang;Weijun Tang;Qiyuan Yao;Liheng Liu;Hui Yang;Zhenghan Yang;Zhongtao Zhang;National Clinical Research Center for Digestive Diseases in Beijing Friendship Hospital, Capital Medical University;Beijing Quality Control and Improvement Center of Medical Imaging;National Health Commission Capacity Building and Continuing Education Center, Chinese College of Metabolic and Bariatric Surgeons;Beijing Quality Control and Improvement Center of Metabolic and Bariatric Surgery

作者机构：Department of RadiologyBeijing Friendship HospitalCapital Medical UniversityBeijing 100050China Department of General SurgeryBeijing Friendship HospitalCapital Medical University&National Clinical Research Center for Digestive DiseasesBeijing 100050China School of Biological Science and Medical EngineeringBeihang UniversityBeijing 100191China Department of RadiologyBeijing Tiantan HospitalCapital Medical UniversityBeijing 100070China Department of General SurgeryBeijing Tiantan HospitalCapital Medical UniversityBeijing 100070China Department of MRBeijing Shijitan HospitalCapital Medical University/Peking UniversityNinth Clinical Medical CollegeBeijing 100038China Department of General SurgeryBeijing Shijitan HospitalCapital Medical University/Peking UniversityNinth Clinical Medical CollegeBeijing 100038China Department of RadiologyBeijing HospitalNational Center of GerontologyInstitute of Geriatric MedicineChinese Academy of Medical SciencesBeijing 100730China Department of General SurgeryBeijing HospitalNational Center of GerontologyInstitute of Geriatric MedicineChinese Academy of Medical SciencesBeijing 100730China Department of RadiologyShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai 200233China Department of Bariatric and Metabolic SurgeryShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai 200233China Department of RadiologyHuashan HospitalFudan UniversityShanghai 200040China Center for Obesity and Metabolic SurgeryHuashan HospitalFudan UniversityShanghai 200040China Department of RadiologyZhongshan HospitalFudan UniversityShanghai 200032China Department of RadiologyThe Second Affiliated Hospital of Shandong First Medical UniversityTai'anShandong 271000China 不详 

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

年 卷 期：2022年第135卷第6期

页      面：631-633页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 100207[医学-影像医学与核医学] 1002[医学-临床医学] 08[工学] 1010[医学-医学技术（可授医学、理学学位）] 10[医学] 

基　　金：supported by the National Natural Science Foundation of China(No.62171297) the Capital's Funds for Health Improvement and Research(No.2020-1-2021) the Beijing Hospitals Authority Clinical Medicine Development of Special Funding Support(No.ZYLX202101) 

主　　题：abdominal obesity artificial 

摘      要：Introduction Upper abdominal magnetic resonance(MR)imaging is appropriate for body composition analysis.111 Especially for individuals with obesity,it is of great value to quantify the hepatic proton density fat fraction(PDFF)and the amount of abdominal adipose tissue during clinical evaluation and for research on obesity-related *** results may be used to determine the optimal choice of surgical procedure and evaluate treatment *** artificial intelligence(Al)algorithms and systems have been developed for the automated measurement of body *** basis of Al development and application is to have uniform standards for clinical data acquisition and *** uneven quality ofMR images is one ofthe major obstacles to Al system development and analytical results.A standardized process of MR scanning and clinical data management is urgently needed.