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Staging and typing of chest CT images: A quantitative analysis based on an ambispective observational cohort study of 125 patients with COVID-19 in Xiangyang, China

By Guoxin Huang, Yong Wang, Xiaxia Wu, Gaojing Qu, Junwen Chen, Hui Yu, Meiling Zhang, Lisha Wang, Jinwei Ai, Haoming Zhu, Lei Chen, Bin Pei

Posted 27 Oct 2020
medRxiv DOI: 10.1101/2020.10.25.20219253

BackgroundThe stage of CT images was rarely studied and the relationship between the severity of Coronavirus Disease 2019 (COVID-19) and CT images has not been studied based on systematic quantitative analysis currently. PurposeTo investigate the staging duration and classification of CT images of patients with COVID-19 based on quantitative analysis. Materials and MethodsThis is an ambispective observational cohort study based on 125 patients with COVID-19 from Jan 23 to Feb 28, 2020. The stage of CT and pulmonary lesion size were quantitatively analyzed. The categorical regression analysis based on optimal scale (CATREG) was performed to evaluate the association of CT score, age, and gender with the clinical type. ResultsThe CT images of 125 patients with COVID-19 (50.13 {+/-} 16.91 years, 66 women) were analyzed in this study. Except for pre-early stage, the duration of early, progression-consolidation, and dissipation stage of CT images was 3.40 {+/-} 2.31, 10.07 {+/-} 4.91, and 20.60 {+/-} 7.64 days, respectively. The median CT score was 5.00 (2.00-8.50) during the first 30 days, which reached a peak on the 11th day. Significant differences were found between the median CT scores of different clinical types (P<0.05). Besides, the age was correlated with the clinical type (P<0.001), the CT scores of 0.00-11.50, 11.50-16.00, and 16.00-20.00 were separately correlated with the moderate, severe, and critical type with the output accuracy 69.60%. ConclusionThe four-stage staging method based on quantitative analysis is consistent with the change rules of staging features and COVID-19. Quantitative study by scoring pulmonary lesion sizes accurately revealed the evolvement of pulmonary lesions and differences between different clinical types. SummaryQuantitative study of the stage duration and classification of chest CT images can objectively reveal the relationship between Coronavirus Disease 2019 (COVID-19) and chest CT images. Key Results1. A four-stage staging method was proposed. Except for pre-early stage, the duration of early, progression-consolidation, and dissipation stage of CT images was 3.40 {+/-} 2.31, 10.07 {+/-} 4.91, and 20.60 {+/-} 7.64 days, respectively. 2. The severer the disease, the higher the median CT scores and their peak value. 3. The CT scores of 0.00-11.50, 11.50-16.00, and 16.00-20.00 were separately correlated with the moderate, severe, and critical type.

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