1. Dynamic evaluation of lung involvement during coronavirus disease-2019 (COVID-19) with quantitative lung CT
- Author
-
Yong-Ji Zheng, Bing Ming, Yu-Dan Li, Chun Ma, Xiao-Ling Wang, Hai-Bing Zhang, and Dong-Mei Xie
- Subjects
Adult ,Male ,Artificial intelligence ,Adolescent ,Coronavirus disease 2019 (COVID-19) ,Pneumonia, Viral ,030218 nuclear medicine & medical imaging ,X-ray ,Betacoronavirus ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Stage (cooking) ,Child ,Pandemics ,Tomography ,Lung ,Aged ,Retrospective Studies ,SARS-CoV-2 ,business.industry ,Significant difference ,COVID-19 ,Infant ,030208 emergency & critical care medicine ,Retrospective cohort study ,Pneumonia ,Middle Aged ,medicine.disease ,Lung involvement ,Coronavirus ,medicine.anatomical_structure ,Radiology Nuclear Medicine and imaging ,Child, Preschool ,Emergency Medicine ,Female ,Original Article ,Coronavirus Infections ,Tomography, X-Ray Computed ,business ,Nuclear medicine ,viral - Abstract
Purpose To identify and quantify lung changes associated with coronavirus disease-2019 (COVID-19) with quantitative lung CT during the disease. Methods This retrospective study reviewed COVID-19 patients who underwent multiple chest CT scans during their disease course. Quantitative lung CT was used to determine the nature and volume of lung involvement. A semi-quantitative scoring system was also used to evaluate lung lesions. Results This study included eighteen cases (4 cases in mild type, 10 cases in moderate type, 4 cases in severe type, and without critical type cases) with confirmed COVID-19. Patients had a mean hospitalized period of 24.1 ± 7.1 days (range: 14–38 days) and underwent an average CT scans of 3.9 ± 1.6 (range: 2–8). The total volumes of lung abnormalities reached a peak of 8.8 ± 4.1 days (range: 2–14 days). The ground-glass opacity (GGO) volume percentage was higher than the consolidative opacity (CO) volume percentage on the first CT examination (Z = 2.229, P = 0.026), and there was no significant difference between the GGO volume percentage and that of CO at the peak stage (Z = - 0.628, P = 0.53). The volume percentage of lung involvement identified by AI demonstrated a strong correlation with the total CT scores at each stage (r = 0.873, P = 0.0001). Conclusions Quantitative lung CT can automatically identify the nature of lung involvement and quantify the dynamic changes of lung lesions on CT during COVID-19. For patients who recovered from COVID-19, GGO was the predominant imaging feature on the initial CT scan, while GGO and CO were the main appearances at peak stage. Electronic supplementary material The online version of this article (10.1007/s10140-020-01856-4) contains supplementary material, which is available to authorized users.
- Published
- 2020