tetano
Editor, Senior Moderator
PLoS One
. 2020 Sep 4;15(9):e0238760.
doi: 10.1371/journal.pone.0238760. eCollection 2020.
Chest computed tomography (CT) findings and semiquantitative scoring of 60 patients with coronavirus disease 2019 (COVID-19): A retrospective imaging analysis combining anatomy and pathology
Hao Zhang[SUP] 1 [/SUP], Xu-Jing Jiang[SUP] 2 [/SUP], Xiao-Hua Liu[SUP] 1 [/SUP], Hong Ma[SUP] 3 [/SUP], Ya-Hong Zhang[SUP] 4 [/SUP], Yue Rao[SUP] 5 [/SUP], Lin Li[SUP] 6 [/SUP], Hai-Yan Xu[SUP] 7 [/SUP], Fa-Jin Lyu[SUP] 8 [/SUP]
Affiliations
Abstract
In this study, we ascertained the chest CT data of 60 patients admitted to 3 hospitals in Chongqing with confirmed COVID-19. We conducted anatomical and pathological analyses to elucidate the possible reasons for the distribution, morphology, and characteristics of COVID-19 in chest CT. We also shared a semiquantitative scoring of affected lung segments, which was recommended by our local medical association. This scoring system was applied to quantify the severity of the disease. The most frequent imaging findings of COVID-19 were subpleural ground glass opacities and consolidation; there was a significant difference in semiquantitative scores between the early, progressive, and severe stages of the disease. We conclude that the chest CT findings of COVID-19 showed certain characteristics because of the anatomical features of the human body and pathological changes caused by the virus. Therefore, chest CT is a valuable tool for facilitating the diagnosis of COVID-19 and semiquantitative scoring of affected lung segments may further elucidate diagnosis and assessment of disease severity. This will assist healthcare workers in diagnosing COVID-19 and assessing disease severity, facilitate the selection of appropriate treatment options, which is important for reducing the spread of the virus, saving lives, and controlling the pandemic.
. 2020 Sep 4;15(9):e0238760.
doi: 10.1371/journal.pone.0238760. eCollection 2020.
Chest computed tomography (CT) findings and semiquantitative scoring of 60 patients with coronavirus disease 2019 (COVID-19): A retrospective imaging analysis combining anatomy and pathology
Hao Zhang[SUP] 1 [/SUP], Xu-Jing Jiang[SUP] 2 [/SUP], Xiao-Hua Liu[SUP] 1 [/SUP], Hong Ma[SUP] 3 [/SUP], Ya-Hong Zhang[SUP] 4 [/SUP], Yue Rao[SUP] 5 [/SUP], Lin Li[SUP] 6 [/SUP], Hai-Yan Xu[SUP] 7 [/SUP], Fa-Jin Lyu[SUP] 8 [/SUP]
Affiliations
- PMID: 32886711
- DOI: 10.1371/journal.pone.0238760
Abstract
In this study, we ascertained the chest CT data of 60 patients admitted to 3 hospitals in Chongqing with confirmed COVID-19. We conducted anatomical and pathological analyses to elucidate the possible reasons for the distribution, morphology, and characteristics of COVID-19 in chest CT. We also shared a semiquantitative scoring of affected lung segments, which was recommended by our local medical association. This scoring system was applied to quantify the severity of the disease. The most frequent imaging findings of COVID-19 were subpleural ground glass opacities and consolidation; there was a significant difference in semiquantitative scores between the early, progressive, and severe stages of the disease. We conclude that the chest CT findings of COVID-19 showed certain characteristics because of the anatomical features of the human body and pathological changes caused by the virus. Therefore, chest CT is a valuable tool for facilitating the diagnosis of COVID-19 and semiquantitative scoring of affected lung segments may further elucidate diagnosis and assessment of disease severity. This will assist healthcare workers in diagnosing COVID-19 and assessing disease severity, facilitate the selection of appropriate treatment options, which is important for reducing the spread of the virus, saving lives, and controlling the pandemic.