Correlation study between quantitative characteristics of CT lung opacification based on machine learning and clinical subtypes and severity of lung injury of COVID-19  

作　　者：ZHU Tong 朱桐(Dept Radiol,Tongji Hosp,Tongji Med Coll,Huazhong Sci&Technol Univ,Wuhan 430030)

机构地区：[1]Dept Radiol,Tongji Hosp,Tongji Med Coll,Huazhong Sci&Technol Univ,Wuhan 430030

出　　处：《China Medical Abstracts(Internal Medicine)》2021年第2期68-68,共1页中国医学文摘（内科学分册（英文版）

摘　　要：Objective To investigate the value of chest CT quantitative index in clinical classification and lung injury severity evaluation of COVID-19.Methods The current study retrospectively analyzed the clinical and CT data of 438 patients with COVID-19 between January2020 and March 2020 in Tongji Hospital,Tongji Medical College,Huazhong University of Science&Technology.The clinical types included common type(n=146),severe type(n=247)and critical type(n=45).

关 键 词：CLINICAL SEVERITY LUNG 

分 类 号：R816.41[医药卫生—放射医学] R563.1[医药卫生—临床医学]