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

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).