Dynamic evolution of COVID-19 on chest computed tomography: experience from Jiangsu Province of China
- PDF / 1,756,345 Bytes
- 10 Pages / 595.276 x 790.866 pts Page_size
- 41 Downloads / 173 Views
CHEST
Dynamic evolution of COVID-19 on chest computed tomography: experience from Jiangsu Province of China Yuan-Cheng Wang 1 & Huanyuan Luo 2 & Songqiao Liu 3 & Shan Huang 1 & Zhen Zhou 4 & Qian Yu 1 & Shijun Zhang 1 & Zhen Zhao 1 & Yizhou Yu 5 & Yi Yang 3 & Duolao Wang 2 & Shenghong Ju 1 Received: 4 April 2020 / Revised: 30 April 2020 / Accepted: 20 May 2020 # European Society of Radiology 2020
Abstract Objectives To determine the patterns of chest computed tomography (CT) evolution according to disease severity in a large coronavirus disease 2019 (COVID-19) cohort in Jiangsu Province, China. Methods This retrospective cohort study was conducted from January 10, 2020, to February 18, 2020. All patients diagnosed with COVID-19 in Jiangsu Province were included, retrospectively. Quantitative CT measurements of pulmonary opacities including volume, density, and location were extracted by deep learning algorithm. Dynamic evolution of these measurements was investigated from symptom onset (day 1) to beyond day 15. Comparison was made between severity groups. Results A total of 484 patients (median age of 47 years, interquartile range 33–57) with 954 CT examinations were included, and each was assigned to one of the three groups: asymptomatic/mild (n = 63), moderate (n = 378), severe/critically ill (n = 43). Time series showed different evolution patterns of CT measurements in the groups. Following disease onset, posteroinferior subpleural area of the lung was the most common location for pulmonary opacities. Opacity volume continued to increase beyond 15 days in the severe/ critically ill group, compared with peaking on days 13–15 in the moderate group. Asymptomatic/mild group had the lowest opacity volume which almost resolved after 15 days. The opacity density began to drop from day 10 to day 12 for moderately ill patients. Conclusions Volume, density, and location of the pulmonary opacity and their evolution on CT varied with disease severity in COVID-19. These findings are valuable in understanding the nature of the disease and monitoring the patient’s condition during the course of illness. Key Points • Volume, density, and location of the pulmonary opacity on CT change over time in COVID-19. • The evolution of CT appearance follows specific pattern, varying with disease severity. Keywords Coronavirus . Multidetector computed tomography . Viral pneumonia Electronic supplementary material The online version of this article (https://doi.org/10.1007/s00330-020-06976-6) contains supplementary material, which is available to authorized users. * Shenghong Ju [email protected] 1
Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, 87 Ding Jia Qiao Road, Nanjing 210009, China
2
Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool L3 5QA, UK
3
Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
4
School of Electronics Engineering and Computer Science, Peking University, Beijing, China
Data Loading...
