Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review
Identifieur interne : 000380 ( Pmc/Corpus ); précédent : 000379; suivant : 000381Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review
Auteurs : Zheng Ye ; Yun Zhang ; Yi Wang ; Zixiang Huang ; Bin SongSource :
- European Radiology [ 0938-7994 ] ; 2020.
Abstract
Coronavirus disease 2019 (COVID-19) outbreak, first reported in Wuhan, China, has rapidly swept around the world just within a month, causing global public health emergency. In diagnosis, chest computed tomography (CT) manifestations can supplement parts of limitations of real-time reverse transcription polymerase chain reaction (RT-PCR) assay. Based on a comprehensive literature review and the experience in the frontline, we aim to review the typical and relatively atypical CT manifestations with representative COVID-19 cases at our hospital, and hope to strengthen the recognition of these features with radiologists and help them make a quick and accurate diagnosis.
Key Points
Url:
DOI: 10.1007/s00330-020-06801-0
PubMed: NONE
PubMed Central: 7088323
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PMC:7088323Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review</title><author><name sortKey="Ye, Zheng" sort="Ye, Zheng" uniqKey="Ye Z" first="Zheng" last="Ye">Zheng Ye</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author><author><name sortKey="Zhang, Yun" sort="Zhang, Yun" uniqKey="Zhang Y" first="Yun" last="Zhang">Yun Zhang</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author><author><name sortKey="Wang, Yi" sort="Wang, Yi" uniqKey="Wang Y" first="Yi" last="Wang">Yi Wang</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author><author><name sortKey="Huang, Zixiang" sort="Huang, Zixiang" uniqKey="Huang Z" first="Zixiang" last="Huang">Zixiang Huang</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author><author><name sortKey="Song, Bin" sort="Song, Bin" uniqKey="Song B" first="Bin" last="Song">Bin Song</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmc">7088323</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088323</idno><idno type="RBID">PMC:7088323</idno><idno type="doi">10.1007/s00330-020-06801-0</idno><idno type="pmid">NONE</idno><date when="2020">2020</date><idno type="wicri:Area/Pmc/Corpus">000380</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000380</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review</title><author><name sortKey="Ye, Zheng" sort="Ye, Zheng" uniqKey="Ye Z" first="Zheng" last="Ye">Zheng Ye</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author><author><name sortKey="Zhang, Yun" sort="Zhang, Yun" uniqKey="Zhang Y" first="Yun" last="Zhang">Yun Zhang</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author><author><name sortKey="Wang, Yi" sort="Wang, Yi" uniqKey="Wang Y" first="Yi" last="Wang">Yi Wang</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author><author><name sortKey="Huang, Zixiang" sort="Huang, Zixiang" uniqKey="Huang Z" first="Zixiang" last="Huang">Zixiang Huang</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author><author><name sortKey="Song, Bin" sort="Song, Bin" uniqKey="Song B" first="Bin" last="Song">Bin Song</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author></analytic><series><title level="j">European Radiology</title><idno type="ISSN">0938-7994</idno><idno type="eISSN">1432-1084</idno><imprint><date when="2020">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="Par1">Coronavirus disease 2019 (COVID-19) outbreak, first reported in Wuhan, China, has rapidly swept around the world just within a month, causing global public health emergency. In diagnosis, chest computed tomography (CT) manifestations can supplement parts of limitations of real-time reverse transcription polymerase chain reaction (RT-PCR) assay. Based on a comprehensive literature review and the experience in the frontline, we aim to review the typical and relatively atypical CT manifestations with representative COVID-19 cases at our hospital, and hope to strengthen the recognition of these features with radiologists and help them make a quick and accurate diagnosis.</p><p>Key Points</p><p id="Par2"><italic>• Ground glass opacities, consolidation, reticular pattern, and crazy paving pattern are typical CT manifestations of COVID-19.</italic></p><p id="Par3"><italic>• Emerging atypical CT manifestations, including airway changes, pleural changes, fibrosis, nodules, etc., were demonstrated in COVID-19 patients.</italic></p><p id="Par4"><italic>• CT manifestations may associate with the progression and prognosis of COVID-19.</italic></p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Zhu, Na" uniqKey="Zhu N">Na Zhu</name></author><author><name sortKey="Zhang, Dingyu" uniqKey="Zhang D">Dingyu Zhang</name></author><author><name sortKey="Wang, Wenling" uniqKey="Wang W">Wenling Wang</name></author><author><name sortKey="Li, Xingwang" uniqKey="Li X">Xingwang Li</name></author><author><name sortKey="Yang, Bo" uniqKey="Yang B">Bo Yang</name></author><author><name sortKey="Song, Jingdong" uniqKey="Song J">Jingdong Song</name></author><author><name sortKey="Zhao, Xiang" uniqKey="Zhao X">Xiang Zhao</name></author><author><name sortKey="Huang, Baoying" uniqKey="Huang B">Baoying Huang</name></author><author><name sortKey="Shi, Weifeng" uniqKey="Shi W">Weifeng Shi</name></author><author><name sortKey="Lu, Roujian" uniqKey="Lu R">Roujian Lu</name></author><author><name sortKey="Niu, Peihua" uniqKey="Niu P">Peihua Niu</name></author><author><name sortKey="Zhan, Faxian" uniqKey="Zhan F">Faxian Zhan</name></author><author><name sortKey="Ma, Xuejun" uniqKey="Ma X">Xuejun Ma</name></author><author><name sortKey="Wang, Dayan" uniqKey="Wang D">Dayan Wang</name></author><author><name sortKey="Xu, Wenbo" uniqKey="Xu W">Wenbo Xu</name></author><author><name sortKey="Wu, Guizhen" uniqKey="Wu G">Guizhen Wu</name></author><author><name sortKey="Gao, George F" uniqKey="Gao G">George F. Gao</name></author><author><name sortKey="Tan, Wenjie" uniqKey="Tan W">Wenjie Tan</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Huang, Peikai" uniqKey="Huang P">Peikai Huang</name></author><author><name sortKey="Liu, Tianzhu" uniqKey="Liu T">Tianzhu Liu</name></author><author><name sortKey="Huang, Lesheng" uniqKey="Huang L">Lesheng Huang</name></author><author><name sortKey="Liu, Hailong" uniqKey="Liu H">Hailong Liu</name></author><author><name sortKey="Lei, Ming" uniqKey="Lei M">Ming Lei</name></author><author><name sortKey="Xu, Wangdong" uniqKey="Xu W">Wangdong Xu</name></author><author><name sortKey="Hu, Xiaolu" uniqKey="Hu X">Xiaolu Hu</name></author><author><name sortKey="Chen, Jun" uniqKey="Chen J">Jun Chen</name></author><author><name sortKey="Liu, Bo" uniqKey="Liu B">Bo Liu</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Wang, Dawei" uniqKey="Wang D">Dawei Wang</name></author><author><name sortKey="Hu, Bo" uniqKey="Hu B">Bo Hu</name></author><author><name sortKey="Hu, Chang" uniqKey="Hu C">Chang Hu</name></author><author><name sortKey="Zhu, Fangfang" uniqKey="Zhu F">Fangfang Zhu</name></author><author><name sortKey="Liu, Xing" uniqKey="Liu X">Xing Liu</name></author><author><name sortKey="Zhang, Jing" uniqKey="Zhang J">Jing Zhang</name></author><author><name sortKey="Wang, Binbin" uniqKey="Wang B">Binbin Wang</name></author><author><name sortKey="Xiang, Hui" uniqKey="Xiang H">Hui Xiang</name></author><author><name sortKey="Cheng, Zhenshun" uniqKey="Cheng Z">Zhenshun Cheng</name></author><author><name sortKey="Xiong, Yong" uniqKey="Xiong Y">Yong Xiong</name></author><author><name sortKey="Zhao, Yan" uniqKey="Zhao Y">Yan Zhao</name></author><author><name sortKey="Li, Yirong" uniqKey="Li Y">Yirong Li</name></author><author><name sortKey="Wang, Xinghuan" uniqKey="Wang X">Xinghuan Wang</name></author><author><name sortKey="Peng, Zhiyong" uniqKey="Peng Z">Zhiyong Peng</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Chung, Michael" uniqKey="Chung M">Michael Chung</name></author><author><name sortKey="Bernheim, Adam" uniqKey="Bernheim A">Adam Bernheim</name></author><author><name sortKey="Mei, Xueyan" uniqKey="Mei X">Xueyan Mei</name></author><author><name sortKey="Zhang, Ning" uniqKey="Zhang N">Ning Zhang</name></author><author><name sortKey="Huang, Mingqian" uniqKey="Huang M">Mingqian Huang</name></author><author><name sortKey="Zeng, Xianjun" uniqKey="Zeng X">Xianjun Zeng</name></author><author><name sortKey="Cui, Jiufa" uniqKey="Cui J">Jiufa Cui</name></author><author><name sortKey="Xu, Wenjian" uniqKey="Xu W">Wenjian Xu</name></author><author><name sortKey="Yang, Yang" uniqKey="Yang Y">Yang Yang</name></author><author><name sortKey="Fayad, Zahi A" uniqKey="Fayad Z">Zahi A. Fayad</name></author><author><name sortKey="Jacobi, Adam" uniqKey="Jacobi A">Adam Jacobi</name></author><author><name sortKey="Li, Kunwei" uniqKey="Li K">Kunwei Li</name></author><author><name sortKey="Li, Shaolin" uniqKey="Li S">Shaolin Li</name></author><author><name sortKey="Shan, Hong" uniqKey="Shan H">Hong Shan</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Fang, Yicheng" uniqKey="Fang Y">Yicheng Fang</name></author><author><name sortKey="Zhang, Huangqi" uniqKey="Zhang H">Huangqi Zhang</name></author><author><name sortKey="Xu, Yunyu" uniqKey="Xu Y">Yunyu Xu</name></author><author><name sortKey="Xie, Jicheng" uniqKey="Xie J">Jicheng Xie</name></author><author><name sortKey="Pang, Peipei" uniqKey="Pang P">Peipei Pang</name></author><author><name sortKey="Ji, Wenbin" uniqKey="Ji W">Wenbin Ji</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Qian, Lijuan" uniqKey="Qian L">Lijuan Qian</name></author><author><name sortKey="Yu, Jie" uniqKey="Yu J">Jie Yu</name></author><author><name sortKey="Shi, Heshui" uniqKey="Shi H">Heshui Shi</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Kay, Fernando" uniqKey="Kay F">Fernando Kay</name></author><author><name sortKey="Abbara, Suhny" uniqKey="Abbara S">Suhny Abbara</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Xu, X" uniqKey="Xu X">X Xu</name></author><author><name sortKey="Chen, P" uniqKey="Chen P">P Chen</name></author><author><name sortKey="Wang, J" uniqKey="Wang J">J Wang</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Yoon, Soon Ho" uniqKey="Yoon S">Soon Ho Yoon</name></author><author><name sortKey="Lee, Kyung Hee" uniqKey="Lee K">Kyung Hee Lee</name></author><author><name sortKey="Kim, Jin Yong" uniqKey="Kim J">Jin Yong Kim</name></author><author><name sortKey="Lee, Young Kyung" uniqKey="Lee Y">Young Kyung Lee</name></author><author><name sortKey="Ko, Hongseok" uniqKey="Ko H">Hongseok Ko</name></author><author><name sortKey="Kim, Ki Hwan" uniqKey="Kim K">Ki Hwan Kim</name></author><author><name sortKey="Park, Chang Min" uniqKey="Park C">Chang Min Park</name></author><author><name sortKey="Kim, Yun Hyeon" uniqKey="Kim Y">Yun-Hyeon Kim</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Song, Fengxiang" uniqKey="Song F">Fengxiang Song</name></author><author><name sortKey="Shi, Nannan" uniqKey="Shi N">Nannan Shi</name></author><author><name sortKey="Shan, Fei" uniqKey="Shan F">Fei Shan</name></author><author><name sortKey="Zhang, Zhiyong" uniqKey="Zhang Z">Zhiyong Zhang</name></author><author><name sortKey="Shen, Jie" uniqKey="Shen J">Jie Shen</name></author><author><name sortKey="Lu, Hongzhou" uniqKey="Lu H">Hongzhou Lu</name></author><author><name sortKey="Ling, Yun" uniqKey="Ling Y">Yun Ling</name></author><author><name sortKey="Jiang, Yebin" uniqKey="Jiang Y">Yebin Jiang</name></author><author><name sortKey="Shi, Yuxin" uniqKey="Shi Y">Yuxin Shi</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Ng, Ming Yen" uniqKey="Ng M">Ming-Yen Ng</name></author><author><name sortKey="Lee, Elaine Yp" uniqKey="Lee E">Elaine YP Lee</name></author><author><name sortKey="Yang, Jin" uniqKey="Yang J">Jin Yang</name></author><author><name sortKey="Yang, Fangfang" uniqKey="Yang F">Fangfang Yang</name></author><author><name sortKey="Li, Xia" uniqKey="Li X">Xia Li</name></author><author><name sortKey="Wang, Hongxia" uniqKey="Wang H">Hongxia Wang</name></author><author><name sortKey="Lui, Macy Mei Sze" uniqKey="Lui M">Macy Mei-sze Lui</name></author><author><name sortKey="Lo, Christine Shing Yen" uniqKey="Lo C">Christine Shing-Yen Lo</name></author><author><name sortKey="Leung, Barry" uniqKey="Leung B">Barry Leung</name></author><author><name sortKey="Khong, Pek Lan" uniqKey="Khong P">Pek-Lan Khong</name></author><author><name sortKey="Hui, Christopher Kim Ming" uniqKey="Hui C">Christopher Kim-Ming Hui</name></author><author><name sortKey="Yuen, Kwok Yung" uniqKey="Yuen K">Kwok-yung Yuen</name></author><author><name sortKey="Kuo, Michael David" uniqKey="Kuo M">Michael David Kuo</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Chen, Nanshan" uniqKey="Chen N">Nanshan Chen</name></author><author><name sortKey="Zhou, Min" uniqKey="Zhou M">Min Zhou</name></author><author><name sortKey="Dong, Xuan" uniqKey="Dong X">Xuan Dong</name></author><author><name sortKey="Qu, Jieming" uniqKey="Qu J">Jieming Qu</name></author><author><name sortKey="Gong, Fengyun" uniqKey="Gong F">Fengyun Gong</name></author><author><name sortKey="Han, Yang" uniqKey="Han Y">Yang Han</name></author><author><name sortKey="Qiu, Yang" uniqKey="Qiu Y">Yang Qiu</name></author><author><name sortKey="Wang, Jingli" uniqKey="Wang J">Jingli Wang</name></author><author><name sortKey="Liu, Ying" uniqKey="Liu Y">Ying Liu</name></author><author><name sortKey="Wei, Yuan" uniqKey="Wei Y">Yuan Wei</name></author><author><name sortKey="Xia, Jia An" uniqKey="Xia J">Jia'an Xia</name></author><author><name sortKey="Yu, Ting" uniqKey="Yu T">Ting Yu</name></author><author><name sortKey="Zhang, Xinxin" uniqKey="Zhang X">Xinxin Zhang</name></author><author><name sortKey="Zhang, Li" uniqKey="Zhang L">Li Zhang</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Hansell, Dm" uniqKey="Hansell D">DM Hansell</name></author><author><name sortKey="Bankier, Aa" uniqKey="Bankier A">AA Bankier</name></author><author><name sortKey="Macmahon, H" uniqKey="Macmahon H">H MacMahon</name></author><author><name sortKey="Mcloud, Tc" uniqKey="Mcloud T">TC McLoud</name></author><author><name sortKey="Muller, Nl" uniqKey="Muller N">NL Muller</name></author><author><name sortKey="Remy, J" uniqKey="Remy J">J Remy</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Kanne, Jeffrey P" uniqKey="Kanne J">Jeffrey P. Kanne</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Ajlan, Am" uniqKey="Ajlan A">AM Ajlan</name></author><author><name sortKey="Ahyad, Ra" uniqKey="Ahyad R">RA Ahyad</name></author><author><name sortKey="Jamjoom, Lg" uniqKey="Jamjoom L">LG Jamjoom</name></author><author><name sortKey="Alharthy, A" uniqKey="Alharthy A">A Alharthy</name></author><author><name sortKey="Madani, Ta" uniqKey="Madani T">TA Madani</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Wong, K" uniqKey="Wong K">K Wong</name></author><author><name sortKey="Antonio, Ge" uniqKey="Antonio G">GE Antonio</name></author><author><name sortKey="Hui, Ds" uniqKey="Hui D">DS Hui</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Kong, Weifang" uniqKey="Kong W">Weifang Kong</name></author><author><name sortKey="Agarwal, Prachi P" uniqKey="Agarwal P">Prachi P. Agarwal</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Franquet, T" uniqKey="Franquet T">T Franquet</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Li, Xiaohu" uniqKey="Li X">Xiaohu Li</name></author><author><name sortKey="Zeng, Xiaosong" uniqKey="Zeng X">Xiaosong Zeng</name></author><author><name sortKey="Liu, Bin" uniqKey="Liu B">Bin Liu</name></author><author><name sortKey="Yu, Yongqiang" uniqKey="Yu Y">Yongqiang Yu</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kuhlman, Je" uniqKey="Kuhlman J">JE Kuhlman</name></author><author><name sortKey="Fishman, Ek" uniqKey="Fishman E">EK Fishman</name></author><author><name sortKey="Siegelman, S" uniqKey="Siegelman S">S Siegelman</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Pinto, Ps" uniqKey="Pinto P">PS Pinto</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Zompatori, M" uniqKey="Zompatori M">M Zompatori</name></author><author><name sortKey="Poletti, V" uniqKey="Poletti V">V Poletti</name></author><author><name sortKey="Battista, G" uniqKey="Battista G">G Battista</name></author><author><name sortKey="Diegoli, M" uniqKey="Diegoli M">M Diegoli</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kim, Sj" uniqKey="Kim S">SJ Kim</name></author><author><name sortKey="Lee, Ks" uniqKey="Lee K">KS Lee</name></author><author><name sortKey="Ryu, Yh" uniqKey="Ryu Y">YH Ryu</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Gasparetto, El" uniqKey="Gasparetto E">EL Gasparetto</name></author><author><name sortKey="Escuissato, Dl" uniqKey="Escuissato D">DL Escuissato</name></author><author><name sortKey="Davaus, T" uniqKey="Davaus T">T Davaus</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Xu, Rui" uniqKey="Xu R">Rui Xu</name></author><author><name sortKey="Du, Mingshan" uniqKey="Du M">Mingshan Du</name></author><author><name sortKey="Li, Linfeng" uniqKey="Li L">Linfeng Li</name></author><author><name sortKey="Zhen, Zhiming" uniqKey="Zhen Z">Zhiming Zhen</name></author><author><name sortKey="Wang, Huiyou" uniqKey="Wang H">Huiyou Wang</name></author><author><name sortKey="Hu, Xiaofei" uniqKey="Hu X">Xiaofei Hu</name></author></analytic></biblStruct><biblStruct></biblStruct></listBibl></div1></back></TEI><pmc article-type="review-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Eur Radiol</journal-id><journal-id journal-id-type="iso-abbrev">Eur Radiol</journal-id><journal-title-group><journal-title>European Radiology</journal-title></journal-title-group><issn pub-type="ppub">0938-7994</issn><issn pub-type="epub">1432-1084</issn><publisher><publisher-name>Springer Berlin Heidelberg</publisher-name><publisher-loc>Berlin/Heidelberg</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmc">7088323</article-id><article-id pub-id-type="publisher-id">6801</article-id><article-id pub-id-type="doi">10.1007/s00330-020-06801-0</article-id><article-categories><subj-group subj-group-type="heading"><subject>Chest</subject></subj-group></article-categories><title-group><article-title>Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review</article-title></title-group><contrib-group><contrib contrib-type="author" equal-contrib="yes"><name><surname>Ye</surname><given-names>Zheng</given-names></name><xref ref-type="aff" rid="Aff1"></xref></contrib><contrib contrib-type="author" equal-contrib="yes"><name><surname>Zhang</surname><given-names>Yun</given-names></name><xref ref-type="aff" rid="Aff1"></xref></contrib><contrib contrib-type="author"><name><surname>Wang</surname><given-names>Yi</given-names></name><xref ref-type="aff" rid="Aff1"></xref></contrib><contrib contrib-type="author"><name><surname>Huang</surname><given-names>Zixiang</given-names></name><xref ref-type="aff" rid="Aff1"></xref></contrib><contrib contrib-type="author" corresp="yes"><name><surname>Song</surname><given-names>Bin</given-names></name><address><email>songlab_radiology@163.com</email></address><xref ref-type="aff" rid="Aff1"></xref></contrib><aff id="Aff1"><institution-wrap><institution-id institution-id-type="GRID">grid.13291.38</institution-id><institution-id institution-id-type="ISNI">0000 0001 0807 1581</institution-id><institution>Department of Radiology, West China Hospital,</institution><institution>Sichuan University,</institution></institution-wrap>No. 37 Guoxue Alley, Wuhou District, Chengdu, 610041 China</aff></contrib-group><pub-date pub-type="epub"><day>19</day><month>3</month><year>2020</year></pub-date><fpage>1</fpage><lpage>9</lpage><history><date date-type="received"><day>25</day><month>2</month><year>2020</year></date><date date-type="rev-recd"><day>3</day><month>3</month><year>2020</year></date><date date-type="accepted"><day>11</day><month>3</month><year>2020</year></date></history><permissions><copyright-statement>© European Society of Radiology 2020</copyright-statement><license><license-p>This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.</license-p></license></permissions><abstract id="Abs1"><p id="Par1">Coronavirus disease 2019 (COVID-19) outbreak, first reported in Wuhan, China, has rapidly swept around the world just within a month, causing global public health emergency. In diagnosis, chest computed tomography (CT) manifestations can supplement parts of limitations of real-time reverse transcription polymerase chain reaction (RT-PCR) assay. Based on a comprehensive literature review and the experience in the frontline, we aim to review the typical and relatively atypical CT manifestations with representative COVID-19 cases at our hospital, and hope to strengthen the recognition of these features with radiologists and help them make a quick and accurate diagnosis.</p><p>Key Points</p><p id="Par2"><italic>• Ground glass opacities, consolidation, reticular pattern, and crazy paving pattern are typical CT manifestations of COVID-19.</italic></p><p id="Par3"><italic>• Emerging atypical CT manifestations, including airway changes, pleural changes, fibrosis, nodules, etc., were demonstrated in COVID-19 patients.</italic></p><p id="Par4"><italic>• CT manifestations may associate with the progression and prognosis of COVID-19.</italic></p></abstract><kwd-group xml:lang="en"><title>Keywords</title><kwd>Coronavirus infections</kwd><kwd>Pneumonia</kwd><kwd>Tomography, X-ray computed</kwd></kwd-group></article-meta></front><body><sec id="Sec1"><title>Introduction</title><p id="Par13">Coronavirus disease 2019 (COVID-19), a highly infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was firstly reported in Wuhan, Hubei Province, China, and rapidly spreads to other domestic cities and countries beyond China [<xref ref-type="bibr" rid="CR1">1</xref>]. On January 30, 2020, the World Health Organization (WHO) declared this ongoing outbreak as a global public health emergency and raised the risk of COVID-19 to very high at the global level on February 28, 2020 [<xref ref-type="bibr" rid="CR2">2</xref>]. A total of 88,948 COVID-19 cases with 3043 deaths were confirmed as of March 2, 2020, of which 80,174 were from China and 8774 were from other 64 countries [<xref ref-type="bibr" rid="CR3">3</xref>]. In COVID-19 diagnosis, real-time reverse transcription polymerase chain reaction (RT-PCR) of viral nucleic acid is regarded as the reference standard; however, recent studies addressed the importance of chest computed tomography (CT) examination in COVID-19 patients with false negative RT-PCR results [<xref ref-type="bibr" rid="CR4">4</xref>, <xref ref-type="bibr" rid="CR5">5</xref>], and reported the CT sensitivity as 98% [<xref ref-type="bibr" rid="CR6">6</xref>]. Additionally, according to the official diagnosis and treatment protocol (6th edition) declared by the National Health Commission of China [<xref ref-type="bibr" rid="CR7">7</xref>], CT examination is of great significance not only in diagnosing COVID-19 but also in monitoring disease progression and evaluating therapeutic efficacy.</p><p id="Par14">Bilateral distribution of ground glass opacities (GGO) with or without consolidation in posterior and peripheral lungs was the cardinal hallmark of COVID-19 [<xref ref-type="bibr" rid="CR8">8</xref>, <xref ref-type="bibr" rid="CR9">9</xref>]. However, with further analysis of increasing cases, a diversity of interesting CT imaging features were found, including crazy paving pattern, airway changes, reversed halo sign etc. [<xref ref-type="bibr" rid="CR10">10</xref>–<xref ref-type="bibr" rid="CR12">12</xref>], which may shed light on the possible mechanism of lung injury in COVID-19. A recent editorial by Kay et al [<xref ref-type="bibr" rid="CR13">13</xref>] also encouraged researchers to focus the many faces of COVID-19 for its better recognition and accurate diagnosis.</p><p id="Par15">Therefore, with a comprehensive review of published studies and the experience of COVID-19 imaging interpretation in frontline, we aim to review the typical and relatively atypical CT manifestations of COVID-19 in a pictorial fashion and help radiologists to familiarize these possible imaging features of COVID-19.</p></sec><sec id="Sec2"><title>CT manifestations of COVID-19</title><p id="Par16">SARS-CoV-2 was reported to utilize angiotensin-converting enzyme-2 (ACE2) as the cell receptor into humans [<xref ref-type="bibr" rid="CR14">14</xref>], and firstly causing pulmonary interstitial damages and subsequent with parenchymal changes. Table <xref rid="Tab1" ref-type="table">1</xref> shows the CT manifestations of COVID-19 in published articles. Reportedly, chest CT images could manifest different imaging features or patterns in COVID-19 patients with a different time course and disease severity [<xref ref-type="bibr" rid="CR18">18</xref>, <xref ref-type="bibr" rid="CR20">20</xref>]. Hereinafter, we will respectively describe each imaging feature of COVID-19 with RT-PCR confirmed cases at our hospital.<table-wrap id="Tab1"><label>Table 1</label><caption><p>The occurrence rate of different CT manifestations of COVID-19 in published articles</p></caption><table frame="hsides" rules="groups"><thead><tr><th>Author</th><th>No. of patients</th><th>CT scan</th><th>GGO</th><th>Consolidation</th><th>GGO + consolidation</th><th>Interlobular septal thickening</th><th>Reticular pattern</th><th>Crazy paving</th><th>Air bronchogram</th><th>Bronchial wall thickening</th><th>Bronchiolectasis</th><th>Pleural thickening</th><th>Pleural effusion</th><th>Subpleural line</th><th>Nodule</th><th>Reversed halo sign</th><th>Lymphadenopathy</th><th>Pericardial effusion</th><th>Others</th></tr></thead><tbody><tr><td>Wu et al [<xref ref-type="bibr" rid="CR15">15</xref>]</td><td>80</td><td>S</td><td>91% (73/80)</td><td>63% (50/80)</td><td>-</td><td>59% (47/80)</td><td>-</td><td>29% (23/80)</td><td>-</td><td>11% (9/80)</td><td>-</td><td>-</td><td>6% (5/80)</td><td char="(" align="left">20% (16/80)</td><td>-</td><td>-</td><td>4% (3/80)</td><td>5% (4/80)</td><td>-</td></tr><tr><td>Pan et al [<xref ref-type="bibr" rid="CR16">16</xref>]</td><td>63</td><td>S</td><td>86% (54/63)</td><td>19% (12/63)</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>13% (8/63)</td><td>-</td><td>-</td><td>-</td><td>Fibrous stripes 17% (11/63)</td></tr><tr><td>Yoon et al [<xref ref-type="bibr" rid="CR17">17</xref>]</td><td>9*</td><td>M</td><td>45% (35/77)</td><td>5% (2/40)</td><td>50% (20/40)</td><td>-</td><td>-</td><td>10% (4/40)</td><td>21% (16/77)</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>3% (1/37)</td><td>-</td><td>-</td><td>-</td></tr><tr><td>Shi et al [<xref ref-type="bibr" rid="CR18">18</xref>]</td><td>81</td><td>S</td><td>65% (53/81)</td><td>17% (14/81)</td><td>-</td><td>35% (28/81)</td><td>4% (3/81)</td><td>10% (8/81)</td><td>47% (38/81)</td><td>-</td><td>11% (9/81)</td><td>32% (26/81)</td><td>5% (4/81)</td><td>-</td><td>6% (5/81)</td><td>-</td><td>6% (5/81)</td><td>-</td><td>Cystic change 10% (8/81)</td></tr><tr><td>Chung et al [<xref ref-type="bibr" rid="CR9">9</xref>]</td><td>21</td><td>S</td><td>57% (12/21)</td><td>29% (6/21)</td><td>29% (6/21)</td><td>-</td><td>14% (3/21)</td><td>19% (4/21)</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>Song et al [<xref ref-type="bibr" rid="CR19">19</xref>]</td><td>51</td><td>S</td><td>76% (39/51)</td><td>55% (28/51)</td><td>59% (30/51)</td><td>75% (38/51)</td><td>22% (11/51)</td><td>-</td><td>80% (41/51)</td><td>-</td><td>-</td><td>-</td><td>8% (4/51)</td><td>-</td><td>-</td><td>-</td><td>6% (3/51)</td><td>6% (3/51)</td><td>-</td></tr><tr><td>Pan et al [<xref ref-type="bibr" rid="CR20">20</xref>]</td><td>21</td><td>M</td><td>73% (60/82)</td><td>63% (52/82)</td><td>-</td><td>-</td><td>-</td><td>23% (19/82)</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>Fang et al [<xref ref-type="bibr" rid="CR6">6</xref>]</td><td>51</td><td>S</td><td>72% (36/50)</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>Bernheim et al [<xref ref-type="bibr" rid="CR12">12</xref>]</td><td>121</td><td>S</td><td>34% (41/121)</td><td>2% (2/121)</td><td>41% (50/121)</td><td>-</td><td>-</td><td>5% (6/121)</td><td>-</td><td>12% (14/121)</td><td>-</td><td>-</td><td>1% (1/121)</td><td>-</td><td>-</td><td>2% (2/121)</td><td>-</td><td>-</td><td>Bronchiectasis 1% (1/121)</td></tr><tr><td>Ai et al [<xref ref-type="bibr" rid="CR21">21</xref>]</td><td>1014</td><td>S</td><td>46% (409/888)</td><td>50% (447/888)</td><td>-</td><td>1% (8/888)</td><td>1% (8/888)</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>3% (24/888)</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>NG et al [<xref ref-type="bibr" rid="CR22">22</xref>]</td><td>21</td><td>S</td><td>86% (18/21)</td><td>62% (13/21)</td><td>19% (4/21)</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>Li et al [<xref ref-type="bibr" rid="CR23">23</xref>]</td><td>83</td><td>S</td><td>98% (81/83)</td><td>64% (53/83)</td><td>-</td><td>63% (52/83)</td><td>5% (4/83)</td><td>36% (30/83)</td><td></td><td>23% (19/83)</td><td>-</td><td>-</td><td>8% (7/83)</td><td char="(" align="left">20% (17/83)</td><td>7% (6/83)</td><td>-</td><td>8% (7/83)</td><td>5% (4/83)</td><td>-</td></tr><tr><td>Chen et al [<xref ref-type="bibr" rid="CR24">24</xref>]</td><td>99</td><td>S</td><td>14% (14/99)</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>Guan et al [<xref ref-type="bibr" rid="CR25">25</xref>]</td><td>1099</td><td>S</td><td>56% (550/975)</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr></tbody></table><table-wrap-foot><p>*77 lesions in 9 patients were assessed (40 patchy to confluent lesions and 37 nodular lesions)</p><p><italic>COVID-19</italic>, coronavirus disease 2019; <italic>No. of patients</italic>, number of patients; <italic>M</italic>, multiple, indicating multiple CT scans were assessed; <italic>S</italic>, single, indicating single CT scan was assessed; <italic>GGO</italic>, ground glass opacities</p></table-wrap-foot></table-wrap></p><sec id="Sec3"><title>Ground glass opacity</title><p id="Par17">GGO were defined as hazy areas with slightly increased density in lungs without obscuration of bronchial and vascular margins, which may be caused by partial displacement of air due to partial filling of airspaces or interstitial thickening [<xref ref-type="bibr" rid="CR26">26</xref>]. In patients with COVID-19, unilaterally or bilaterally GGO with a peripheral lung and subpleural distribution are commonly encountered [<xref ref-type="bibr" rid="CR16">16</xref>, <xref ref-type="bibr" rid="CR19">19</xref>, <xref ref-type="bibr" rid="CR22">22</xref>] (Fig. <xref rid="Fig1" ref-type="fig">1a</xref>). In the very first radiologic investigation of 21 patients by Chung et al [<xref ref-type="bibr" rid="CR9">9</xref>], GGO was found in 57% patients and was believed to be the earliest radiographically visible CT manifestation in some patients. These results are consistent with those of other subsequent studies, presenting GGO as the most common imaging finding with occurrence rate of up to 98% [<xref ref-type="bibr" rid="CR23">23</xref>]. Recently, the first post-mortem biopsy in a COVID-19 patient was reported [<xref ref-type="bibr" rid="CR27">27</xref>], showing pulmonary edema and hyaline membrane formation in both lungs, which we speculate may be the underlying pathological driver of GGO sign. Moreover, GGO are often accompanied by other features or patterns, including reticular and/or interlobular septal thickening and consolidation [<xref ref-type="bibr" rid="CR19">19</xref>]. GGO together with small areas of consolidation may suggest an organizing pneumonia pattern of lung injury [<xref ref-type="bibr" rid="CR28">28</xref>].<fig id="Fig1"><label>Fig. 1</label><caption><p><bold>a</bold> A 35-year-old male COVID-19 patient presenting fever and headache for 1 day. CT scan shows a pure ground glass opacity in the right lower lobe (red frame). <bold>b</bold> A 47-year-old male COVID-19 patient presenting fever for 7 days. CT scan shows consolidation in the right lobe subpleural area (red frame)</p></caption><graphic xlink:href="330_2020_6801_Fig1_HTML" id="MO1"></graphic></fig></p></sec><sec id="Sec4"><title>Consolidation</title><p id="Par18">Consolidation refers to alveolar air being replaced by pathological fluids, cells, or tissues, manifested by an increase in pulmonary parenchymal density that obscures the margins of underlying vessels and airway walls [<xref ref-type="bibr" rid="CR26">26</xref>]. Multifocal, patchy, or segmental consolidation, distributed in subpleural areas or along bronchovascular bundles, is usually presented in COVID-19 patients (Fig. <xref rid="Fig1" ref-type="fig">1b</xref>) with occurrence rate of 2~64% [<xref ref-type="bibr" rid="CR12">12</xref>, <xref ref-type="bibr" rid="CR15">15</xref>, <xref ref-type="bibr" rid="CR23">23</xref>]. In COVID-19 patients, consolidation may relate to cellular fibromyxoid exudates in alveoli [<xref ref-type="bibr" rid="CR27">27</xref>]. In addition, consolidation was considered as an indication of disease progression. A recent study showed lung involvement gradually increased to consolidation up to 2 weeks after disease onset [<xref ref-type="bibr" rid="CR20">20</xref>], which concurs with another conclusion that GGO could progress to or co-existed with consolidations within 1–3 weeks [<xref ref-type="bibr" rid="CR18">18</xref>]. Likewise, Song et al found more consolidative lesions in patients with longer time interval between symptom onset and CT scan or older than 50 years old [<xref ref-type="bibr" rid="CR19">19</xref>], suggesting that this manifestation could serve as an alert in the management of patients.</p></sec><sec id="Sec5"><title>Reticular pattern</title><p id="Par19">Reticular pattern was defined as thickened pulmonary interstitial structures such as interlobular septa and intralobular lines [<xref ref-type="bibr" rid="CR26">26</xref>, <xref ref-type="bibr" rid="CR29">29</xref>], manifested as a collection of innumerable small linear opacities on CT images (Fig. <xref rid="Fig2" ref-type="fig">2a</xref>). The formation of this pattern might associate with interstitial lymphocyte infiltration causing interlobular septal thickening [<xref ref-type="bibr" rid="CR27">27</xref>]. Several studies have listed reticular pattern with interlobular septal thickening as the common chest CT manifestation of COVID-19, only second to GGO and consolidation [<xref ref-type="bibr" rid="CR15">15</xref>, <xref ref-type="bibr" rid="CR18">18</xref>, <xref ref-type="bibr" rid="CR19">19</xref>]. As the disease course gets longer, the prevalence of reticular pattern could increase in COVID-19 patients [<xref ref-type="bibr" rid="CR18">18</xref>].<fig id="Fig2"><label>Fig. 2</label><caption><p><bold>a</bold> A 34-year-old female COVID-19 patient presenting fever with dry cough for 2 days. CT scan shows slight reticular pattern in the left lower lobe and subpleural area (red frame). <bold>b</bold> An 81-year-old female COVID-19 patient presenting fever with cough for 7 days. CT scan shows reticular pattern superimposed on the background of GGO, resembling the sign of crazy paving stones in the right middle lobe (red frame)</p></caption><graphic xlink:href="330_2020_6801_Fig2_HTML" id="MO2"></graphic></fig></p></sec><sec id="Sec6"><title>Crazy paving pattern</title><p id="Par20">Crazy paving pattern demonstrates as thickened interlobular septa and intralobular lines with superimposition on a GGO background, resembling irregular paving stones (Fig. <xref rid="Fig2" ref-type="fig">2b</xref>), which was not frequently observed as GGO and consolidation [<xref ref-type="bibr" rid="CR20">20</xref>, <xref ref-type="bibr" rid="CR26">26</xref>]. Based on the previous pathological knowledge of SARS, this sign may result from the alveolar edema and interstitial inflammatory of acute lung injury [<xref ref-type="bibr" rid="CR15">15</xref>, <xref ref-type="bibr" rid="CR30">30</xref>]. Recent investigations reported 5~36% COVID-19 patients with crazy paving pattern in their studies [<xref ref-type="bibr" rid="CR12">12</xref>, <xref ref-type="bibr" rid="CR23">23</xref>]. Additionally, in combination with diffuse GGO and consolidation, crazy paving pattern can be the signal of COVID-19 entering progressive or peak stage [<xref ref-type="bibr" rid="CR20">20</xref>].</p></sec><sec id="Sec7"><title>Air bronchogram</title><p id="Par21">Air bronchogram was defined as a pattern of air-filled (low-attenuation) bronchi on a background of opaque (high-attenuation) airless lung [<xref ref-type="bibr" rid="CR26">26</xref>] and was reported to be another CT manifestation of COVID-19 [<xref ref-type="bibr" rid="CR17">17</xref>, <xref ref-type="bibr" rid="CR19">19</xref>] (Fig. <xref rid="Fig3" ref-type="fig">3a</xref>). However, according to a recent general observation report of the COVID-19 autopsy [<xref ref-type="bibr" rid="CR31">31</xref>], gelatinous mucus attachment was present in the lung bronchus; therefore, we infer the low-attenuation bronchi in CT imaging may be filled with gelatinous mucus instead of air. Moreover, this sign was often accompanied by slightly bronchiolar dilatation, and thus we think it may be more appropriate to term it as bronchiolectasis. As for the dry cough in COVID-19 patients, we surmise it may be explained by the high viscosity of mucus and the damage of dilated bronchioles, resulting in insufficient sputum motility.<fig id="Fig3"><label>Fig. 3</label><caption><p><bold>a</bold> A 48-year-old male COVID-19 patient presenting fever for 5 days. CT scan shows bilateral GGO in the lower lobe (red frames) and air bronchogram (white arrow) in the left subpleural area. <bold>b</bold> A 66-year-old male COVID-19 patient presenting fever with cough for 7 days. CT scan shows reticular pattern in the subpleural areas of the bilateral lower lobe, GGO, and bronchial wall thickening (white arrow) in the right middle lobe</p></caption><graphic xlink:href="330_2020_6801_Fig3_HTML" id="MO3"></graphic></fig></p></sec><sec id="Sec8"><title>Airway changes</title><p id="Par22">Airway changes include bronchiectasis and bronchial wall thickening (Fig. <xref rid="Fig3" ref-type="fig">3b</xref>). Bronchiectasis was reported in some COVID-19 cases [<xref ref-type="bibr" rid="CR4">4</xref>, <xref ref-type="bibr" rid="CR10">10</xref>], while bronchial wall thickening has been reported in around 10% to 20% COVID-19 patients [<xref ref-type="bibr" rid="CR15">15</xref>, <xref ref-type="bibr" rid="CR23">23</xref>]. Pathogenesis can be the inflammatory damage of the bronchial wall and the bronchial obstruction, resulting in the destruction of bronchial wall structure, proliferation of fibrous tissue, fibrosis, and tractive bronchiectasis [<xref ref-type="bibr" rid="CR26">26</xref>]. Li et al investigated 83 COVID-19 patients and found the incidence of bronchial wall thickening in severe/critical patients was significantly higher than that in ordinary patients [<xref ref-type="bibr" rid="CR23">23</xref>].</p></sec><sec id="Sec9"><title>Pleural changes</title><p id="Par23">Pleural changes including pleural thickening (Fig. <xref rid="Fig4" ref-type="fig">4a</xref>) and pleural effusion were reported in COVID-19, among which, the former sign is more prevalent [<xref ref-type="bibr" rid="CR18">18</xref>]. According to a recent study comprising 81 patients with COVID-19, 32% of them demonstrated pleural thickening while 5% showed pleural effusion [<xref ref-type="bibr" rid="CR12">12</xref>, <xref ref-type="bibr" rid="CR18">18</xref>]. Based on the experience of Middle East respiratory syndrome coronavirus (MERS-CoV) infection and recent findings [<xref ref-type="bibr" rid="CR18">18</xref>, <xref ref-type="bibr" rid="CR23">23</xref>], the presence of pleural effusion may suggest a poor prognosis in COVID-19. Moreover, the recent autopsy report also revealed a photo of pleural thickening with extensive adhesion in a COVID-19 patient [<xref ref-type="bibr" rid="CR31">31</xref>], suggesting consistency between CT imaging presentations and autopsy findings.<fig id="Fig4"><label>Fig. 4</label><caption><p><bold>a</bold> An 80-year-old female COVID-19 patient presenting fever for 7 days. CT scan shows left pleural thickening (white arrows). <bold>b</bold> A 43-year-old female COVID-19 patient presenting fever and chills for 5 days. CT scan shows subpleural lines (white arrows) in bilateral lower lobes. <bold>c</bold> A 66-year-old female COVID-19 patient presenting cough and myalgia for 7 days. CT scan shows bilateral GGO and fibrous stripes (white arrows) in the left lower lobe. <bold>d</bold> A 35-year-old male COVID-19 patient presenting fever and headache for 1 day. CT scan shows a large area of GGO (red frame) in the right upper lobe with multiple small vascular enlargement (white arrows)</p></caption><graphic xlink:href="330_2020_6801_Fig4_HTML" id="MO4"></graphic></fig></p></sec><sec id="Sec10"><title>Subpleural curvilinear line</title><p id="Par24">This manifestation was defined as a thin curvilinear opacity with 1–3 mm thickness, lying less than 1 cm from and parallel to the pleural surface [<xref ref-type="bibr" rid="CR26">26</xref>] (Fig. <xref rid="Fig4" ref-type="fig">4b</xref>). Wu et al [<xref ref-type="bibr" rid="CR15">15</xref>] and Li et al [<xref ref-type="bibr" rid="CR23">23</xref>] both reported around 20% of patients with COVID-19 demonstrated this sign, which might relate to pulmonary edema or fibrosis of COVID-19.</p></sec><sec id="Sec11"><title>Fibrosis</title><p id="Par25">CT manifestations of fibrosis or fibrous stripes were also observed in COVID-19 (Fig. <xref rid="Fig4" ref-type="fig">4c</xref>). Pan et al [<xref ref-type="bibr" rid="CR16">16</xref>] reported 17% COVID-19 patients with fibrous stripes in their study. Fibrous lesions may form during the healing of pulmonary chronic inflammation or proliferative diseases, with gradual replacement of cellular components by scar tissues. Currently, the relation between fibrosis and patients’ prognosis is debatable. Some researchers suggested the presence of fibrosis indicates good prognosis of a COVID-19 patient with stabilizing disease status [<xref ref-type="bibr" rid="CR16">16</xref>]. However, others argued that fibrosis might indicate a poor outcome of COVID-19, reporting it may subsequently progress to peak stage or result in pulmonary interstitial fibrosis disease [<xref ref-type="bibr" rid="CR20">20</xref>, <xref ref-type="bibr" rid="CR32">32</xref>].</p></sec><sec id="Sec12"><title>Vascular enlargement</title><p id="Par26">Vascular enlargement is often described as the dilatation of pulmonary vessels around and within the lesions on CT images (Fig. <xref rid="Fig4" ref-type="fig">4d</xref>). One previous study reported this particular CT manifestation on a RT-PCR-negative COVID-19 patient who was admitted to a hospital 6 days after symptom onset [<xref ref-type="bibr" rid="CR4">4</xref>]. Although rarely reported, we found this manifestation in most of our cases, which might be attributed to the damage and swelling of the capillary wall caused by pro-inflammatory factors.</p></sec><sec id="Sec13"><title>Air bubble sign</title><p id="Par27">Air bubble sign refers to a small air-containing space in the lung (Fig. <xref rid="Fig5" ref-type="fig">5a</xref>), which might be the pathological dilation of a physiological space or a cross section of the bronchiolectasis, or associated with the process of consolidation resorption. Shi et al termed this sign as round cystic change in their study [<xref ref-type="bibr" rid="CR18">18</xref>], while Kong et al reported it as cavity sign [<xref ref-type="bibr" rid="CR32">32</xref>]. However, given the displayed pictures in their studies and the definition of cyst and cavity [<xref ref-type="bibr" rid="CR26">26</xref>], we believe it may be more appropriate to term this small bubble-like air-containing space as air bubble sign.<fig id="Fig5"><label>Fig. 5</label><caption><p><bold>a</bold> A 49-year-old male COVID-19 patient presenting fever with diarrhea for 3 days. CT scan shows a patchy GGO (red frame) with an air bubble sign (white arrow) in the apicoposterior segment of the upper left lobe. <bold>b</bold> A 76-year-old female COVID-19 patient presenting fever with cough for 4 days. CT scan shows an irregular nodule (white arrow) in the posterior segment of the right upper lobe. <bold>c</bold> A 46-year-old male COVID-19 patient presenting fever with dry cough for 5 days. CT scan shows a solid nodule surrounded by a ground glass halo in the lateral segment of the right middle lobe (red frame). <bold>d</bold> A 66-year-old woman confirmed with COVID-19 presenting fever and myalgia for 7 days. CT scan shows a reversed halo sign (red frame) in the posterior basal segment of the right lower lobe</p></caption><graphic xlink:href="330_2020_6801_Fig5_HTML" id="MO5"></graphic></fig></p></sec><sec id="Sec14"><title>Nodules</title><p id="Par28">A nodule refers to a rounded or irregular opacity with well- or poorly defined edges, measuring less than 3 cm in diameter [<xref ref-type="bibr" rid="CR26">26</xref>] (Fig. <xref rid="Fig5" ref-type="fig">5b</xref>). This sign has been frequently associated with viral pneumonia [<xref ref-type="bibr" rid="CR33">33</xref>]. As reported, 3~13% of COVID-19 patients can appear with multifocal solid irregular nodules [<xref ref-type="bibr" rid="CR16">16</xref>, <xref ref-type="bibr" rid="CR21">21</xref>] or nodules with visible halo sign [<xref ref-type="bibr" rid="CR34">34</xref>].</p></sec><sec id="Sec15"><title>Halo sign</title><p id="Par29">Halo sign was defined as nodules or masses surrounded by ground glass [<xref ref-type="bibr" rid="CR26">26</xref>] (Fig. <xref rid="Fig5" ref-type="fig">5c</xref>). In current limited research, only Li et al [<xref ref-type="bibr" rid="CR34">34</xref>] reported a case of halo sign in a 27-year-old female COVID-19 patient. In the past, halo sign is thought to be associated with perilesional hemorrhage in angioinvasive fungal infections or hypervascular metastases [<xref ref-type="bibr" rid="CR35">35</xref>], as well as viral infections and organizing pneumonia [<xref ref-type="bibr" rid="CR36">36</xref>]. However, the main pathological driver of this manifestation remains unknown at present.</p></sec><sec id="Sec16"><title>Reversed halo sign or atoll sign</title><p id="Par30">Reversed halo sign, also known as atoll sign, was under a definition of a focal rounded GGO surrounded by a more or less complete ring-like consolidation [<xref ref-type="bibr" rid="CR26">26</xref>] (see Fig. <xref rid="Fig5" ref-type="fig">5d</xref>). It was initially reported to be specific for cryptogenic organizing pneumonia [<xref ref-type="bibr" rid="CR37">37</xref>, <xref ref-type="bibr" rid="CR38">38</xref>] but was subsequently described in other patients [<xref ref-type="bibr" rid="CR39">39</xref>]. Recently, this sign was reported in several COVID-19 cases, which may be attributed to disease progression making consolidation developed around GGO or lesion absorption leaving a decreased intensity in the center [<xref ref-type="bibr" rid="CR5">5</xref>, <xref ref-type="bibr" rid="CR12">12</xref>, <xref ref-type="bibr" rid="CR17">17</xref>, <xref ref-type="bibr" rid="CR40">40</xref>].</p></sec><sec id="Sec17"><title>Lymphadenopathy</title><p id="Par31">Thresholds for lymphadenopathy were somewhat arbitrary, typically 1 cm in short taxis diameter for mediastinal nodes [<xref ref-type="bibr" rid="CR26">26</xref>] (Fig. <xref rid="Fig6" ref-type="fig">6</xref>). Lymphadenopathy was reported in 4~8% of patients with COVID-19 [<xref ref-type="bibr" rid="CR15">15</xref>, <xref ref-type="bibr" rid="CR18">18</xref>]. Moreover, lymphadenopathy was considered one of the significant risk factors of severe/critical COVID-19 pneumonia [<xref ref-type="bibr" rid="CR23">23</xref>]. Occurring with pleural effusion and extensive tiny lung nodules may suggest bacterial superinfection [<xref ref-type="bibr" rid="CR41">41</xref>].<fig id="Fig6"><label>Fig. 6</label><caption><p>A 49-year-old female COVID-19 patient presenting chest pain for 14 days. CT scan shows enlargement of mediastinal lymph nodes (asterisks)</p></caption><graphic xlink:href="330_2020_6801_Fig6_HTML" id="MO6"></graphic></fig></p></sec><sec id="Sec18"><title>Pericardial effusion</title><p id="Par32">Pericardial effusion is rare to identify in COVID-19 patients, with incidence of approximately 5%, which may indicate the occurrence of severe inflammation [<xref ref-type="bibr" rid="CR15">15</xref>, <xref ref-type="bibr" rid="CR23">23</xref>]. A recent study found severe/critical COVID-19 patients showed higher incidences of pericardial effusion than ordinary patients [<xref ref-type="bibr" rid="CR23">23</xref>].</p></sec></sec><sec id="Sec19"><title>Summary</title><p id="Par33">Early recognition and isolation of COVID-19 patients is of crucial importance in controlling this outbreak, especially in those with false negative RT-PCR or without symptoms. Although bilateral GGO and consolidation were reported as the predominant imaging characteristics in COVID-19, chest CT manifestations can vary in different patients and stages. In this paper, we review the typical and atypical CT manifestations with representative pictures and, hopefully, help familiarize radiologists with these features and make right diagnosis when encountering. Moreover, as the COVID-19 autopsies were in progress, we believe that the radiologic-pathologic correlation will be further explored, which is expected to be helpful in determining prognostic imaging features and guiding clinical treatment.</p></sec></body><back><fn-group><fn><p><bold>Publisher’s note</bold></p><p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p></fn><fn><p>Zheng Ye and Yun Zhang contributed equally to this work.</p></fn></fn-group><notes notes-type="funding-information"><title>Funding information</title><p>The authors state that this work has not received any funding.</p></notes><notes notes-type="ethics"><title>Compliance with ethical standards</title><notes><title>Guarantor</title><p id="Par34">The scientific guarantor of this publication is Bin Song.</p></notes><notes notes-type="COI-statement"><title>Conflict of interest</title><p id="Par35">The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.</p></notes><notes><title>Statistics and biometry</title><p id="Par36">No complex statistical methods were necessary for this paper.</p></notes><notes><title>Informed consent</title><p id="Par37">Written informed consent was waived by the Institutional Review Board.</p></notes><notes><title>Ethical approval</title><p id="Par38">Institutional Review Board approval was obtained.</p></notes><notes><title>Methodology</title><p id="Par39">• retrospective</p><p id="Par40">• observational</p><p id="Par41">• performed at one institution</p></notes></notes><ref-list id="Bib1"><title>References</title><ref id="CR1"><label>1.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhu</surname><given-names>Na</given-names></name><name><surname>Zhang</surname><given-names>Dingyu</given-names></name><name><surname>Wang</surname><given-names>Wenling</given-names></name><name><surname>Li</surname><given-names>Xingwang</given-names></name><name><surname>Yang</surname><given-names>Bo</given-names></name><name><surname>Song</surname><given-names>Jingdong</given-names></name><name><surname>Zhao</surname><given-names>Xiang</given-names></name><name><surname>Huang</surname><given-names>Baoying</given-names></name><name><surname>Shi</surname><given-names>Weifeng</given-names></name><name><surname>Lu</surname><given-names>Roujian</given-names></name><name><surname>Niu</surname><given-names>Peihua</given-names></name><name><surname>Zhan</surname><given-names>Faxian</given-names></name><name><surname>Ma</surname><given-names>Xuejun</given-names></name><name><surname>Wang</surname><given-names>Dayan</given-names></name><name><surname>Xu</surname><given-names>Wenbo</given-names></name><name><surname>Wu</surname><given-names>Guizhen</given-names></name><name><surname>Gao</surname><given-names>George F.</given-names></name><name><surname>Tan</surname><given-names>Wenjie</given-names></name></person-group><article-title>A Novel Coronavirus from Patients with Pneumonia in China, 2019</article-title><source>New England Journal of Medicine</source><year>2020</year><volume>382</volume><issue>8</issue><fpage>727</fpage><lpage>733</lpage><pub-id pub-id-type="doi">10.1056/NEJMoa2001017</pub-id><pub-id pub-id-type="pmid">31978945</pub-id></element-citation></ref><ref id="CR2"><label>2.</label><mixed-citation publication-type="other">World Health Organization (2020) Coronavirus disease 2019 (COVID-19) situation report–39. World Health Organization, Geneva. Available via <ext-link ext-link-type="uri" xlink:href="https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200228-sitrep-39-covid-19.pdf?sfvrsn=5bbf3e7d_2">https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200228-sitrep-39-covid-19.pdf?sfvrsn=5bbf3e7d_2</ext-link>. Accessed 3 Mar 2020</mixed-citation></ref><ref id="CR3"><label>3.</label><mixed-citation publication-type="other">World Health Organization (2020) Coronavirus disease 2019 (COVID-19) situation report–42. World Health Organization, Geneva. Available via <ext-link ext-link-type="uri" xlink:href="https://www.who.int/docs/default-source/coronaviruse/20200302-sitrep-42-covid-19.pdf?sfvrsn=d863e045_2">https://www.who.int/docs/default-source/coronaviruse/20200302-sitrep-42-covid-19.pdf?sfvrsn=d863e045_2</ext-link>. Accessed 3 Mar 2020</mixed-citation></ref><ref id="CR4"><label>4.</label><mixed-citation publication-type="other">Xie X, Zhong Z, Zhao W, Zheng C, Wang F, Liu J (2020) Chest CT for typical 2019-nCoV pneumonia: relationship to negative RT-PCR testing. Radiology. 10.1148/radiol.2020200343</mixed-citation></ref><ref id="CR5"><label>5.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname><given-names>Peikai</given-names></name><name><surname>Liu</surname><given-names>Tianzhu</given-names></name><name><surname>Huang</surname><given-names>Lesheng</given-names></name><name><surname>Liu</surname><given-names>Hailong</given-names></name><name><surname>Lei</surname><given-names>Ming</given-names></name><name><surname>Xu</surname><given-names>Wangdong</given-names></name><name><surname>Hu</surname><given-names>Xiaolu</given-names></name><name><surname>Chen</surname><given-names>Jun</given-names></name><name><surname>Liu</surname><given-names>Bo</given-names></name></person-group><article-title>Use of Chest CT in Combination with Negative RT-PCR Assay for the 2019 Novel Coronavirus but High Clinical Suspicion</article-title><source>Radiology</source><year>2020</year><volume>295</volume><issue>1</issue><fpage>22</fpage><lpage>23</lpage><pub-id pub-id-type="doi">10.1148/radiol.2020200330</pub-id><pub-id pub-id-type="pmid">32049600</pub-id></element-citation></ref><ref id="CR6"><label>6.</label><mixed-citation publication-type="other">Fang Y, Zhang H, Xie J et al (2020) Sensitivity of chest CT for COVID-19: comparison to RT-PCR. Radiology. 10.1148/radiol.2020200432</mixed-citation></ref><ref id="CR7"><label>7.</label><mixed-citation publication-type="other">National Health Commission of the People’s Republic of China (2020) The diagnostic and treatment protocol of COVID-19. China. Available via <ext-link ext-link-type="uri" xlink:href="http://www.gov.cn/zhengce/zhengceku/2020-02/19/content_5480948.htm">http://www.gov.cn/zhengce/zhengceku/2020-02/19/content_5480948.htm</ext-link> Accessed 3 Mar 2020</mixed-citation></ref><ref id="CR8"><label>8.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>Dawei</given-names></name><name><surname>Hu</surname><given-names>Bo</given-names></name><name><surname>Hu</surname><given-names>Chang</given-names></name><name><surname>Zhu</surname><given-names>Fangfang</given-names></name><name><surname>Liu</surname><given-names>Xing</given-names></name><name><surname>Zhang</surname><given-names>Jing</given-names></name><name><surname>Wang</surname><given-names>Binbin</given-names></name><name><surname>Xiang</surname><given-names>Hui</given-names></name><name><surname>Cheng</surname><given-names>Zhenshun</given-names></name><name><surname>Xiong</surname><given-names>Yong</given-names></name><name><surname>Zhao</surname><given-names>Yan</given-names></name><name><surname>Li</surname><given-names>Yirong</given-names></name><name><surname>Wang</surname><given-names>Xinghuan</given-names></name><name><surname>Peng</surname><given-names>Zhiyong</given-names></name></person-group><article-title>Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China</article-title><source>JAMA</source><year>2020</year><volume>323</volume><issue>11</issue><fpage>1061</fpage><pub-id pub-id-type="doi">10.1001/jama.2020.1585</pub-id></element-citation></ref><ref id="CR9"><label>9.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chung</surname><given-names>Michael</given-names></name><name><surname>Bernheim</surname><given-names>Adam</given-names></name><name><surname>Mei</surname><given-names>Xueyan</given-names></name><name><surname>Zhang</surname><given-names>Ning</given-names></name><name><surname>Huang</surname><given-names>Mingqian</given-names></name><name><surname>Zeng</surname><given-names>Xianjun</given-names></name><name><surname>Cui</surname><given-names>Jiufa</given-names></name><name><surname>Xu</surname><given-names>Wenjian</given-names></name><name><surname>Yang</surname><given-names>Yang</given-names></name><name><surname>Fayad</surname><given-names>Zahi A.</given-names></name><name><surname>Jacobi</surname><given-names>Adam</given-names></name><name><surname>Li</surname><given-names>Kunwei</given-names></name><name><surname>Li</surname><given-names>Shaolin</given-names></name><name><surname>Shan</surname><given-names>Hong</given-names></name></person-group><article-title>CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)</article-title><source>Radiology</source><year>2020</year><volume>295</volume><issue>1</issue><fpage>202</fpage><lpage>207</lpage><pub-id pub-id-type="doi">10.1148/radiol.2020200230</pub-id><pub-id pub-id-type="pmid">32017661</pub-id></element-citation></ref><ref id="CR10"><label>10.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fang</surname><given-names>Yicheng</given-names></name><name><surname>Zhang</surname><given-names>Huangqi</given-names></name><name><surname>Xu</surname><given-names>Yunyu</given-names></name><name><surname>Xie</surname><given-names>Jicheng</given-names></name><name><surname>Pang</surname><given-names>Peipei</given-names></name><name><surname>Ji</surname><given-names>Wenbin</given-names></name></person-group><article-title>CT Manifestations of Two Cases of 2019 Novel Coronavirus (2019-nCoV) Pneumonia</article-title><source>Radiology</source><year>2020</year><volume>295</volume><issue>1</issue><fpage>208</fpage><lpage>209</lpage><pub-id pub-id-type="doi">10.1148/radiol.2020200280</pub-id><pub-id pub-id-type="pmid">32031481</pub-id></element-citation></ref><ref id="CR11"><label>11.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Qian</surname><given-names>Lijuan</given-names></name><name><surname>Yu</surname><given-names>Jie</given-names></name><name><surname>Shi</surname><given-names>Heshui</given-names></name></person-group><article-title>Severe Acute Respiratory Disease in a Huanan Seafood Market Worker: Images of an Early Casualty</article-title><source>Radiology: Cardiothoracic Imaging</source><year>2020</year><volume>2</volume><issue>1</issue><fpage>e200033</fpage></element-citation></ref><ref id="CR12"><label>12.</label><mixed-citation publication-type="other">Bernheim A, Mei X, Huang M et al (2020) Chest CT findings in coronavirus disease-19 (COVID-19): relationship to duration of infection. Radiology. 10.1148/radiol.2020200463</mixed-citation></ref><ref id="CR13"><label>13.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kay</surname><given-names>Fernando</given-names></name><name><surname>Abbara</surname><given-names>Suhny</given-names></name></person-group><article-title>The Many Faces of COVID-19: Spectrum of Imaging Manifestations</article-title><source>Radiology: Cardiothoracic Imaging</source><year>2020</year><volume>2</volume><issue>1</issue><fpage>e200037</fpage></element-citation></ref><ref id="CR14"><label>14.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname><given-names>X</given-names></name><name><surname>Chen</surname><given-names>P</given-names></name><name><surname>Wang</surname><given-names>J</given-names></name><etal></etal></person-group><article-title>Evolution of the novel coronavirus from the ongoing Wuhan outbreak and modeling of its spike protein for risk of human transmission</article-title><source>Sci China Life Sci</source><year>2020</year><volume>2020</volume><fpage>1</fpage><lpage>4</lpage></element-citation></ref><ref id="CR15"><label>15.</label><mixed-citation publication-type="other">Wu J, Wu X, Zeng W et al (2020) Chest CT findings in patients with corona virus disease 2019 and its relationship with clinical features. Invest Radiol. 10.1097/RLI.0000000000000670</mixed-citation></ref><ref id="CR16"><label>16.</label><mixed-citation publication-type="other">Pan Y, Guan H, Zhou S et al (2020) Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): a study of 63 patients in Wuhan, China. Eur Radiol. 10.1007/s00330-020-06731-x</mixed-citation></ref><ref id="CR17"><label>17.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yoon</surname><given-names>Soon Ho</given-names></name><name><surname>Lee</surname><given-names>Kyung Hee</given-names></name><name><surname>Kim</surname><given-names>Jin Yong</given-names></name><name><surname>Lee</surname><given-names>Young Kyung</given-names></name><name><surname>Ko</surname><given-names>Hongseok</given-names></name><name><surname>Kim</surname><given-names>Ki Hwan</given-names></name><name><surname>Park</surname><given-names>Chang Min</given-names></name><name><surname>Kim</surname><given-names>Yun-Hyeon</given-names></name></person-group><article-title>Chest Radiographic and CT Findings of the 2019 Novel Coronavirus Disease (COVID-19): Analysis of Nine Patients Treated in Korea</article-title><source>Korean Journal of Radiology</source><year>2020</year><volume>21</volume><issue>4</issue><fpage>498</fpage><pub-id pub-id-type="doi">10.3348/kjr.2020.0132</pub-id></element-citation></ref><ref id="CR18"><label>18.</label><mixed-citation publication-type="other">Shi H, Han X, Jiang N et al (2020) Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study. Lancet Infect Dis. 10.1016/S1473-3099(20)30086-4</mixed-citation></ref><ref id="CR19"><label>19.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Song</surname><given-names>Fengxiang</given-names></name><name><surname>Shi</surname><given-names>Nannan</given-names></name><name><surname>Shan</surname><given-names>Fei</given-names></name><name><surname>Zhang</surname><given-names>Zhiyong</given-names></name><name><surname>Shen</surname><given-names>Jie</given-names></name><name><surname>Lu</surname><given-names>Hongzhou</given-names></name><name><surname>Ling</surname><given-names>Yun</given-names></name><name><surname>Jiang</surname><given-names>Yebin</given-names></name><name><surname>Shi</surname><given-names>Yuxin</given-names></name></person-group><article-title>Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia</article-title><source>Radiology</source><year>2020</year><volume>295</volume><issue>1</issue><fpage>210</fpage><lpage>217</lpage><pub-id pub-id-type="doi">10.1148/radiol.2020200274</pub-id><pub-id pub-id-type="pmid">32027573</pub-id></element-citation></ref><ref id="CR20"><label>20.</label><mixed-citation publication-type="other">Pan F, Ye T, Sun P et al (2020) Time course of lung changes on chest CT during recovery from 2019 novel coronavirus (COVID-19) pneumonia. Radiology. 10.1148/radiol.2020200370</mixed-citation></ref><ref id="CR21"><label>21.</label><mixed-citation publication-type="other">Ai T, Yang Z, Hou H et al (2020) Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases. Radiology. 10.1148/radiol.2020200642</mixed-citation></ref><ref id="CR22"><label>22.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ng</surname><given-names>Ming-Yen</given-names></name><name><surname>Lee</surname><given-names>Elaine YP</given-names></name><name><surname>Yang</surname><given-names>Jin</given-names></name><name><surname>Yang</surname><given-names>Fangfang</given-names></name><name><surname>Li</surname><given-names>Xia</given-names></name><name><surname>Wang</surname><given-names>Hongxia</given-names></name><name><surname>Lui</surname><given-names>Macy Mei-sze</given-names></name><name><surname>Lo</surname><given-names>Christine Shing-Yen</given-names></name><name><surname>Leung</surname><given-names>Barry</given-names></name><name><surname>Khong</surname><given-names>Pek-Lan</given-names></name><name><surname>Hui</surname><given-names>Christopher Kim-Ming</given-names></name><name><surname>Yuen</surname><given-names>Kwok-yung</given-names></name><name><surname>Kuo</surname><given-names>Michael David</given-names></name></person-group><article-title>Imaging Profile of the COVID-19 Infection: Radiologic Findings and Literature Review</article-title><source>Radiology: Cardiothoracic Imaging</source><year>2020</year><volume>2</volume><issue>1</issue><fpage>e200034</fpage></element-citation></ref><ref id="CR23"><label>23.</label><mixed-citation publication-type="other">Kunhua Li JW, Wu F, Guo D, Chen L, Zheng F, Li C (2020) The clinical and chest CT features associated with severe and critical COVID-19 pneumonia. Invest Radiol. 10.1097/RLI.0000000000000672</mixed-citation></ref><ref id="CR24"><label>24.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>Nanshan</given-names></name><name><surname>Zhou</surname><given-names>Min</given-names></name><name><surname>Dong</surname><given-names>Xuan</given-names></name><name><surname>Qu</surname><given-names>Jieming</given-names></name><name><surname>Gong</surname><given-names>Fengyun</given-names></name><name><surname>Han</surname><given-names>Yang</given-names></name><name><surname>Qiu</surname><given-names>Yang</given-names></name><name><surname>Wang</surname><given-names>Jingli</given-names></name><name><surname>Liu</surname><given-names>Ying</given-names></name><name><surname>Wei</surname><given-names>Yuan</given-names></name><name><surname>Xia</surname><given-names>Jia'an</given-names></name><name><surname>Yu</surname><given-names>Ting</given-names></name><name><surname>Zhang</surname><given-names>Xinxin</given-names></name><name><surname>Zhang</surname><given-names>Li</given-names></name></person-group><article-title>Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study</article-title><source>The Lancet</source><year>2020</year><volume>395</volume><issue>10223</issue><fpage>507</fpage><lpage>513</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(20)30211-7</pub-id></element-citation></ref><ref id="CR25"><label>25.</label><mixed-citation publication-type="other">Guan WJ, Ni ZY, Hu Y et al (2020) Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 10.1056/NEJMoa2002032</mixed-citation></ref><ref id="CR26"><label>26.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hansell</surname><given-names>DM</given-names></name><name><surname>Bankier</surname><given-names>AA</given-names></name><name><surname>MacMahon</surname><given-names>H</given-names></name><name><surname>McLoud</surname><given-names>TC</given-names></name><name><surname>Muller</surname><given-names>NL</given-names></name><name><surname>Remy</surname><given-names>J</given-names></name></person-group><article-title>Fleischner Society: glossary of terms for thoracic imaging</article-title><source>Radiology</source><year>2008</year><volume>246</volume><fpage>697</fpage><lpage>722</lpage><pub-id pub-id-type="doi">10.1148/radiol.2462070712</pub-id><pub-id pub-id-type="pmid">18195376</pub-id></element-citation></ref><ref id="CR27"><label>27.</label><mixed-citation publication-type="other">Xu Z, Shi L, Wang Y et al (2020) Pathological findings of COVID-19 associated with acute respiratory distress syndrome. Lancet Respir Med. 10.1016/S2213-2600(20)30076-X</mixed-citation></ref><ref id="CR28"><label>28.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kanne</surname><given-names>Jeffrey P.</given-names></name></person-group><article-title>Chest CT Findings in 2019 Novel Coronavirus (2019-nCoV) Infections from Wuhan, China: Key Points for the Radiologist</article-title><source>Radiology</source><year>2020</year><volume>295</volume><issue>1</issue><fpage>16</fpage><lpage>17</lpage><pub-id pub-id-type="doi">10.1148/radiol.2020200241</pub-id><pub-id pub-id-type="pmid">32017662</pub-id></element-citation></ref><ref id="CR29"><label>29.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ajlan</surname><given-names>AM</given-names></name><name><surname>Ahyad</surname><given-names>RA</given-names></name><name><surname>Jamjoom</surname><given-names>LG</given-names></name><name><surname>Alharthy</surname><given-names>A</given-names></name><name><surname>Madani</surname><given-names>TA</given-names></name></person-group><article-title>Middle East respiratory syndrome coronavirus (MERS-CoV) infection: chest CT findings</article-title><source>AJR Am J Roentgenol</source><year>2014</year><volume>203</volume><fpage>782</fpage><lpage>787</lpage><pub-id pub-id-type="doi">10.2214/AJR.14.13021</pub-id><pub-id pub-id-type="pmid">24918624</pub-id></element-citation></ref><ref id="CR30"><label>30.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wong</surname><given-names>K</given-names></name><name><surname>Antonio</surname><given-names>GE</given-names></name><name><surname>Hui</surname><given-names>DS</given-names></name><etal></etal></person-group><article-title>Thin-section CT of severe acute respiratory syndrome: evaluation of 73 patients exposed to or with the disease</article-title><source>Radiology</source><year>2003</year><volume>228</volume><fpage>395</fpage><lpage>400</lpage><pub-id pub-id-type="doi">10.1148/radiol.2283030541</pub-id><pub-id pub-id-type="pmid">12738877</pub-id></element-citation></ref><ref id="CR31"><label>31.</label><mixed-citation publication-type="other">Xi Liu RW, Guoqiang Q, Wang Y et al (2020) A observational autopsy report of COVID-19 (Chinese). J Forensic Med 36:19–21</mixed-citation></ref><ref id="CR32"><label>32.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kong</surname><given-names>Weifang</given-names></name><name><surname>Agarwal</surname><given-names>Prachi P.</given-names></name></person-group><article-title>Chest Imaging Appearance of COVID-19 Infection</article-title><source>Radiology: Cardiothoracic Imaging</source><year>2020</year><volume>2</volume><issue>1</issue><fpage>e200028</fpage></element-citation></ref><ref id="CR33"><label>33.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Franquet</surname><given-names>T</given-names></name></person-group><article-title>Imaging of pulmonary viral pneumonia</article-title><source>Radiology</source><year>2011</year><volume>260</volume><fpage>18</fpage><lpage>39</lpage><pub-id pub-id-type="doi">10.1148/radiol.11092149</pub-id><pub-id pub-id-type="pmid">21697307</pub-id></element-citation></ref><ref id="CR34"><label>34.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>Xiaohu</given-names></name><name><surname>Zeng</surname><given-names>Xiaosong</given-names></name><name><surname>Liu</surname><given-names>Bin</given-names></name><name><surname>Yu</surname><given-names>Yongqiang</given-names></name></person-group><article-title>COVID-19 Infection Presenting with CT Halo Sign</article-title><source>Radiology: Cardiothoracic Imaging</source><year>2020</year><volume>2</volume><issue>1</issue><fpage>e200026</fpage></element-citation></ref><ref id="CR35"><label>35.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kuhlman</surname><given-names>JE</given-names></name><name><surname>Fishman</surname><given-names>EK</given-names></name><name><surname>Siegelman</surname><given-names>S</given-names></name></person-group><article-title>Invasive pulmonary aspergillosis in acute leukemia: characteristic findings on CT, the CT halo sign, and the role of CT in early diagnosis</article-title><source>Radiology</source><year>1985</year><volume>157</volume><fpage>611</fpage><lpage>614</lpage><pub-id pub-id-type="doi">10.1148/radiology.157.3.3864189</pub-id><pub-id pub-id-type="pmid">3864189</pub-id></element-citation></ref><ref id="CR36"><label>36.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pinto</surname><given-names>PS</given-names></name></person-group><article-title>The CT halo sign</article-title><source>Radiology</source><year>2004</year><volume>230</volume><fpage>109</fpage><lpage>110</lpage><pub-id pub-id-type="doi">10.1148/radiol.2301020649</pub-id><pub-id pub-id-type="pmid">14695389</pub-id></element-citation></ref><ref id="CR37"><label>37.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zompatori</surname><given-names>M</given-names></name><name><surname>Poletti</surname><given-names>V</given-names></name><name><surname>Battista</surname><given-names>G</given-names></name><name><surname>Diegoli</surname><given-names>M</given-names></name></person-group><article-title>Bronchiolitis obliterans with organizing pneumonia (BOOP), presenting as a ring-shaped opacity at HRCT (the atoll sign). A case report</article-title><source>Radiol Med</source><year>1999</year><volume>97</volume><fpage>308</fpage><pub-id pub-id-type="pmid">10414267</pub-id></element-citation></ref><ref id="CR38"><label>38.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname><given-names>SJ</given-names></name><name><surname>Lee</surname><given-names>KS</given-names></name><name><surname>Ryu</surname><given-names>YH</given-names></name><etal></etal></person-group><article-title>Reversed halo sign on high-resolution CT of cryptogenic organizing pneumonia: diagnostic implications</article-title><source>AJR Am J Roentgenol</source><year>2003</year><volume>180</volume><fpage>1251</fpage><lpage>1254</lpage><pub-id pub-id-type="doi">10.2214/ajr.180.5.1801251</pub-id><pub-id pub-id-type="pmid">12704033</pub-id></element-citation></ref><ref id="CR39"><label>39.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gasparetto</surname><given-names>EL</given-names></name><name><surname>Escuissato</surname><given-names>DL</given-names></name><name><surname>Davaus</surname><given-names>T</given-names></name><etal></etal></person-group><article-title>Reversed halo sign in pulmonary paracoccidioidomycosis</article-title><source>AJR Am J Roentgenol</source><year>2005</year><volume>184</volume><fpage>1932</fpage><lpage>1934</lpage><pub-id pub-id-type="doi">10.2214/ajr.184.6.01841932</pub-id><pub-id pub-id-type="pmid">15908556</pub-id></element-citation></ref><ref id="CR40"><label>40.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname><given-names>Rui</given-names></name><name><surname>Du</surname><given-names>Mingshan</given-names></name><name><surname>Li</surname><given-names>Linfeng</given-names></name><name><surname>Zhen</surname><given-names>Zhiming</given-names></name><name><surname>Wang</surname><given-names>Huiyou</given-names></name><name><surname>Hu</surname><given-names>Xiaofei</given-names></name></person-group><article-title>CT imaging of one extended family cluster of corona virus disease 2019 (COVID-19) including adolescent patients and “silent infection”</article-title><source>Quantitative Imaging in Medicine and Surgery</source><year>2020</year><volume>10</volume><issue>3</issue><fpage>800</fpage><lpage>804</lpage><pub-id pub-id-type="doi">10.21037/qims.2020.02.13</pub-id></element-citation></ref><ref id="CR41"><label>41.</label><mixed-citation publication-type="other">Kanne JP, Little BP, Chung JH, Elicker BM, Ketai LH (2020) Essentials for radiologists on COVID-19: an update—radiology scientific expert panel. Radiology. 10.1148/radiol.2020200527</mixed-citation></ref></ref-list></back></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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