Three-Dimensional CT for Quantification of Longitudinal Lung and Pneumonia Variations in COVID-19 Patients
作者： Bin Zhang , Shuixing Zhang , Qiuying Chen , Minmin Li , Zhuozhi Chen
关键词: Rank correlation 、 Post-hoc analysis 、 Interquartile range 、 Three dimensional ct 、 Coronavirus disease 2019 (COVID-19) 、 Lung volumes 、 Nuclear medicine 、 Pneumonia 、 Medicine 、 Lung
摘要: Objectives: Visual chest CT is subjective with large inter- and intra-observer variability. We aimed to quantify the dynamic changes of lung pneumonia on three dimensional (3D-CT) images in coronavirus disease 2019 (COVID-19) patients during hospitalization. Methods: A total 110 laboratory-confirmed COVID-19 who underwent from January 3 February 29, 2020, were retrospectively reviewed. Pneumonia lesions classified as four stages: early, progressive, peak, absorption stages CT. computer-aided diagnostic (CAD) system calculated volume (TLV), percentage low attenuation areas (LAA%), pneumonia, ground-glass opacities (GGO), consolidation plus GGO: ratio. score was visually assessed by radiologists. Comparisons parameters among performed one-way ANONA post hoc tests. The relationship between LAA% Spearman’s rank correlation analysis. Results: a 534 scans median interval 4 days (interquartile range, 3-5 days). TLV, ratio significantly decreased while GGO, increased progressive peak (for all, P<0.001). correlated (r = 0.731, 0.761, 0.715, 0.669, respectively, Conclusion: 3D-CT could be used useful quantification method monitoring pneumonia.
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