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. 2020 Mar 23;2(2):e200082. doi: 10.1148/ryct.2020200082

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2020 by the Radiological Society of North America, Inc.

This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.

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Figure 2: — Evolution of COVID-19 in a 44-year-old man across 12 days of treatment. A, Axial unenhanced chest CT images at four time points (dates annotated in each panel) show a small nodular opacity in the right upper lobe on the initial CT, progressing to a larger area of ground-glass opacity and consolidation, especially at time points 2 and 3. B, Color overlay of voxel-level segmentation at the same level and time points as in A show pulmonary opacities displayed in yellow and normal lung in blue. C, Coronal reconstructions at the same time points as in A show progression of the lung opacities, especially across first and third time points. D, Three-dimensional volume-rendered reconstructions at the same time points as in A show pulmonary opacities displayed in yellow, normal lung and vessels in light gray, and tracheobronchial tree in green. The volumetric assessment of the pulmonary opacities derived from the deep learning–based quantitative CT analysis is annotated at different time points on the volume-rendered images. LOV = lung opacification volume.