biostudies-literatureUnknown8(15)Wang C<h4>Background</h4>Coronavirus disease 2019 (COVID-19) has widely spread worldwide and caused a pandemic. Chest CT has been found to play an important role in the diagnosis and management of COVID-19. However, quantitatively assessing temporal changes of COVID-19 pneumonia over time using CT has still not been fully elucidated. The purpose of this study was to perform a longitudinal study to quantitatively assess temporal changes of COVID-19 pneumonia.<h4>Methods</h4>This retrospective and multi-center study included patients with laboratory-confirmed COVID-19 infection from 16 hospitals between January 19 and March 27, 2020. Mass was used as an approach to quantitatively measure dynamic changes of pulmonary involvement in patients with COVID-19. Artificial intelligence (AI) was employed aAnnals of translational medicine935https://www.ebi.ac.uk/biostudies/studies/S-EPMC7475384biostudies-literatureTemporal changes of COVID-19 pneumonia by mass evaluation using CT: a retrospective multi-center study.PMC7475384Liu JWang CSu MShu JZhang MZhao TRen DZhao ZYao WHuang PWang LLiu YShen ZLin BZheng HXia JYang YWang QJi WGao YMa JLiu BRuan GCheng JfalseTemporal changes of COVID-19 pneumonia by mass evaluation using CT: a retrospective multi-center study.<h4>Background</h4>Coronavirus disease 2019 (COVID-19) has widely spread worldwide and caused a pandemic. Chest CT has been found to play an important role in the diagnosis and management of COVID-19. However, quantitatively assessing temporal changes of COVID-19 pneumonia over time using CT has still not been fully elucidated. The purpose of this study was to perform a longitudinal study to quantitatively assess temporal changes of COVID-19 pneumonia.<h4>Methods</h4>This retrospective and multi-center study included patients with laboratory-confirmed COVID-19 infection from 16 hospitals between January 19 and March 27, 2020. Mass was used as an approach to quantitatively measure dynamic changes of pulmonary involvement in patients with COVID-19. Artificial intelligence (AI) was employed a2020-01-01T00:00:00Z2020 Aug2025-04-25T17:42:32.242Z2025-04-25T17:42:32.242ZS-EPMC74753843295373510.21037/atm-20-4004