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REVIEW ARTICLE
Year : 2021  |  Volume : 8  |  Issue : 4  |  Page : 158-167

Manual severity evaluation methods for novel coronavirus pneumonia based on computed tomography imaging


Department of Medical Imaging, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou City, Inner Mongolia Autonomous Region, China

Correspondence Address:
Lin Luo
Department of Medical Imaging, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou City 014010, Inner Mongolia Autonomous Region
China
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/RID.RID_20_22

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Computed tomography (CT) examination plays an indispensable role in the diagnosis of coronavirus disease-2019 (COVID-19). Many studies have evaluated the severity of COVID-19 based on CT images, with the severity of COVID-19 being evaluated either manually or by using artificial intelligence. In this review, the recently reported methods for manually evaluating COVID-19 severity based on CT images are summarized and divided into three categories: evaluation based on the extent of abnormalities; evaluation based on the characteristics of abnormalities; and evaluation based on both the extent and characteristics of abnormalities.


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