TY - JOUR
T1 - The Role of Imaging in the Detection and Management of COVID-19
T2 - A Review
AU - Dong, Di
AU - Tang, Zhenchao
AU - Wang, Shuo
AU - Hui, Hui
AU - Gong, Lixin
AU - Lu, Yao
AU - Xue, Zhong
AU - Liao, Hongen
AU - Chen, Fang
AU - Yang, Fan
AU - Jin, Ronghua
AU - Wang, Kun
AU - Liu, Zhenyu
AU - Wei, Jingwei
AU - Mu, Wei
AU - Zhang, Hui
AU - Jiang, Jingying
AU - Tian, Jie
AU - Li, Hongjun
N1 - Publisher Copyright:
© 2008-2011 IEEE.
PY - 2021
Y1 - 2021
N2 - Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is spreading rapidly around the world, resulting in a massive death toll. Lung infection or pneumonia is the common complication of COVID-19, and imaging techniques, especially computed tomography (CT), have played an important role in diagnosis and treatment assessment of the disease. Herein, we review the imaging characteristics and computing models that have been applied for the management of COVID-19. CT, positron emission tomography - CT (PET/CT), lung ultrasound, and magnetic resonance imaging (MRI) have been used for detection, treatment, and follow-up. The quantitative analysis of imaging data using artificial intelligence (AI) is also explored. Our findings indicate that typical imaging characteristics and their changes can play crucial roles in the detection and management of COVID-19. In addition, AI or other quantitative image analysis methods are urgently needed to maximize the value of imaging in the management of COVID-19.
AB - Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is spreading rapidly around the world, resulting in a massive death toll. Lung infection or pneumonia is the common complication of COVID-19, and imaging techniques, especially computed tomography (CT), have played an important role in diagnosis and treatment assessment of the disease. Herein, we review the imaging characteristics and computing models that have been applied for the management of COVID-19. CT, positron emission tomography - CT (PET/CT), lung ultrasound, and magnetic resonance imaging (MRI) have been used for detection, treatment, and follow-up. The quantitative analysis of imaging data using artificial intelligence (AI) is also explored. Our findings indicate that typical imaging characteristics and their changes can play crucial roles in the detection and management of COVID-19. In addition, AI or other quantitative image analysis methods are urgently needed to maximize the value of imaging in the management of COVID-19.
KW - COVID-19
KW - artificial intelligence
KW - chest CT
KW - imaging
UR - https://www.scopus.com/pages/publications/85084208192
U2 - 10.1109/RBME.2020.2990959
DO - 10.1109/RBME.2020.2990959
M3 - 文章
C2 - 32356760
AN - SCOPUS:85084208192
SN - 1937-3333
VL - 14
SP - 16
EP - 29
JO - IEEE Reviews in Biomedical Engineering
JF - IEEE Reviews in Biomedical Engineering
M1 - 9079648
ER -