The Role of Imaging in the Detection and Management of COVID-19: A Review

被引：217

作者：

Dong, Di ^{[1
,2
]}

Tang, Zhenchao ^{[3
]}

Wang, Shuo ^{[3
]}

Hui, Hui ^{[1
,2
]}

Gong, Lixin ^{[4
,5
]}

Lu, Yao ^{[6
]}

Xue, Zhong ^{[7
]}

Liao, Hongen ^{[8
]}

Chen, Fang ^{[9
]}

Yang, Fan ^{[10
]}

Jin, Ronghua ^{[11
]}

Wang, Kun ^{[1
,2
]}

Liu, Zhenyu ^{[1
,2
]}

Wei, Jingwei ^{[1
,2
]}

Mu, Wei ^{[3
]}

Zhang, Hui ^{[3
]}

Jiang, Jingying ^{[3
]}

Tian, Jie ^{[12
,13
]}

Li, Hongjun ^{[14
]}

机构：

[1] Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100190, Peoples R China

[2] Chinese Acad Sci, CAS Key Lab Mol Imaging Inst Automat, Beijing 100190, Peoples R China

[3] Beihang Univ, Minist Ind & Informat Technol, Key Lab Big Data Based Precis Med, Beijing 100191, Peoples R China

[4] Northeastern Univ, Coll Med, Shenyang 110819, Liaoning, Peoples R China

[5] Northeastern Univ, Biol Informat Engn Sch, Shenyang 110819, Liaoning, Peoples R China

[6] Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510275, Guangdong, Peoples R China

[7] Shanghai United Imaging Intelligence Co Ltd, Shanghai 201210, Peoples R China

[8] Tsinghua Univ, Dept Biomed Engn, Sch Med, Beijing 100084, Peoples R China

[9] Nanjing Univ Aeronaut & Astronaut, Dept Comp Sci & Engn, Nanjing 210016, Jiangsu, Peoples R China

[10] Huazhong Univ Sci & Technol, Union Hosp, Tongji Med Coll, Dept Radiol, Wuhan 430022, Hubei, Peoples R China

[11] Capital Med Univ, Beijing Youan Hosp, Beijing 100069, Peoples R China

[12] Chinese Acad Sci, CAS Key Lab Mol Imaging Inst Automat, Beijing 100190, Peoples R China

[13] Beihang Univ, Sch Med & Engn, Beijing Adv Innovat Ctr Big Data Based Precis Me, Beijing 100191, Peoples R China

[14] Capital Med Univ, Beijing Youan Hosp, Dept Radiol, Beijing 100069, Peoples R China

来源：

IEEE REVIEWS IN BIOMEDICAL ENGINEERING | 2021年 / 14卷

基金：

国家重点研发计划; 北京市自然科学基金; 中国国家自然科学基金;

关键词：

COVID-19; Computed tomography; Diseases; Lung; Hospitals; Biomedical imaging; imaging; chest CT; artificial intelligence; CORONAVIRUS DISEASE COVID-19; CHEST CT; PNEUMONIA; RADIOLOGIST; FEATURES; IMAGES;

D O I：

10.1109/RBME.2020.2990959

中图分类号：

R318 [生物医学工程];

学科分类号：

100103 [病原生物学];

摘要：

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.

引用

页码：16 / 29

页数：14

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