Diagnostic value and key features of computed tomography in Coronavirus Disease 2019
On 31 December 2019, a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, Hubei province, China, and caused the outbreak of the Coronavirus Disease 2019 (COVID-19). To date, computed tomography (CT) findings have been recommended as major evidence for the clinical diagnos...
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Veröffentlicht in: | Emerging microbes & infections 2020-01, Vol.9 (1), p.787-793 |
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description | On 31 December 2019, a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, Hubei province, China, and caused the outbreak of the Coronavirus Disease 2019 (COVID-19). To date, computed tomography (CT) findings have been recommended as major evidence for the clinical diagnosis of COVID-19 in Hubei, China. This review focuses on the imaging characteristics and changes throughout the disease course in patients with COVID-19 in order to provide some help for clinicians. Typical CT findings included bilateral ground-glass opacity, pulmonary consolidation, and prominent distribution in the posterior and peripheral parts of the lungs. This review also provides a comparison between COVID-19 and other diseases that have similar CT findings. Since most patients with COVID-19 infection share typical imaging features, radiological examinations have an irreplaceable role in screening, diagnosis and monitoring treatment effects in clinical practice. |
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To date, computed tomography (CT) findings have been recommended as major evidence for the clinical diagnosis of COVID-19 in Hubei, China. This review focuses on the imaging characteristics and changes throughout the disease course in patients with COVID-19 in order to provide some help for clinicians. Typical CT findings included bilateral ground-glass opacity, pulmonary consolidation, and prominent distribution in the posterior and peripheral parts of the lungs. This review also provides a comparison between COVID-19 and other diseases that have similar CT findings. Since most patients with COVID-19 infection share typical imaging features, radiological examinations have an irreplaceable role in screening, diagnosis and monitoring treatment effects in clinical practice.</description><identifier>ISSN: 2222-1751</identifier><identifier>EISSN: 2222-1751</identifier><identifier>DOI: 10.1080/22221751.2020.1750307</identifier><identifier>PMID: 32241244</identifier><language>eng</language><publisher>United States: Taylor & Francis</publisher><subject>Betacoronavirus ; Clinical Laboratory Techniques ; computed tomography ; Coronavirus Disease 2019 ; Coronavirus Infections - diagnosis ; Coronavirus Infections - diagnostic imaging ; Coronaviruses ; COVID-19 ; COVID-19 Testing ; diagnosis ; Diagnosis, Differential ; Disease ; Disease Progression ; ground-glass opacity ; Humans ; Lung - diagnostic imaging ; Lung - pathology ; Nucleic Acid Amplification Techniques ; Pandemics ; Pneumonia, Viral - diagnostic imaging ; Radiography, Thoracic ; Review ; SARS-CoV-2 ; Severe Acute Respiratory Syndrome - diagnostic imaging ; Severe acute respiratory syndrome coronavirus 2 ; Tomography, X-Ray Computed</subject><ispartof>Emerging microbes & infections, 2020-01, Vol.9 (1), p.787-793</ispartof><rights>2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Shanghai Shangyixun Cultural Communication Co., Ltd 2020</rights><rights>2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Shanghai Shangyixun Cultural Communication Co., Ltd. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Shanghai Shangyixun Cultural Communication Co., Ltd 2020 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c628t-c8875c83ec477fe72d912e828c335651f52a852d8b4dea79f232c3b59df0f4ed3</citedby><cites>FETCH-LOGICAL-c628t-c8875c83ec477fe72d912e828c335651f52a852d8b4dea79f232c3b59df0f4ed3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191895/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191895/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,27479,27901,27902,53766,53768,59116,59117</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32241244$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Bingjie</creatorcontrib><creatorcontrib>Li, Xin</creatorcontrib><creatorcontrib>Wang, Yaxuan</creatorcontrib><creatorcontrib>Han, Yikai</creatorcontrib><creatorcontrib>Wang, Yidi</creatorcontrib><creatorcontrib>Wang, Chen</creatorcontrib><creatorcontrib>Zhang, Guorui</creatorcontrib><creatorcontrib>Jin, Jianjun</creatorcontrib><creatorcontrib>Jia, Hongxia</creatorcontrib><creatorcontrib>Fan, Feifei</creatorcontrib><creatorcontrib>Ma, Wang</creatorcontrib><creatorcontrib>Liu, Hong</creatorcontrib><creatorcontrib>Zhou, Yue</creatorcontrib><title>Diagnostic value and key features of computed tomography in Coronavirus Disease 2019</title><title>Emerging microbes & infections</title><addtitle>Emerg Microbes Infect</addtitle><description>On 31 December 2019, a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, Hubei province, China, and caused the outbreak of the Coronavirus Disease 2019 (COVID-19). To date, computed tomography (CT) findings have been recommended as major evidence for the clinical diagnosis of COVID-19 in Hubei, China. This review focuses on the imaging characteristics and changes throughout the disease course in patients with COVID-19 in order to provide some help for clinicians. Typical CT findings included bilateral ground-glass opacity, pulmonary consolidation, and prominent distribution in the posterior and peripheral parts of the lungs. This review also provides a comparison between COVID-19 and other diseases that have similar CT findings. Since most patients with COVID-19 infection share typical imaging features, radiological examinations have an irreplaceable role in screening, diagnosis and monitoring treatment effects in clinical practice.</description><subject>Betacoronavirus</subject><subject>Clinical Laboratory Techniques</subject><subject>computed tomography</subject><subject>Coronavirus Disease 2019</subject><subject>Coronavirus Infections - diagnosis</subject><subject>Coronavirus Infections - diagnostic imaging</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 Testing</subject><subject>diagnosis</subject><subject>Diagnosis, Differential</subject><subject>Disease</subject><subject>Disease Progression</subject><subject>ground-glass opacity</subject><subject>Humans</subject><subject>Lung - diagnostic imaging</subject><subject>Lung - pathology</subject><subject>Nucleic Acid Amplification Techniques</subject><subject>Pandemics</subject><subject>Pneumonia, Viral - diagnostic imaging</subject><subject>Radiography, Thoracic</subject><subject>Review</subject><subject>SARS-CoV-2</subject><subject>Severe Acute Respiratory Syndrome - diagnostic imaging</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Tomography, X-Ray Computed</subject><issn>2222-1751</issn><issn>2222-1751</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>0YH</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNp9kk1vEzEQhlcIRKvSnwCyxIVLij_X3gsCpXxUqsSlnK2JPU5ddtfB3g3Kv8chadVyYC62Zl4_nrHfpnnN6AWjhr7nNZhW7IJTXlNaUUH1s-Z0n1_sC88f7U-a81LuaA1NW8nky-ZEcC4Zl_K0ubmMsB5TmaIjW-hnJDB68hN3JCBMc8ZCUiAuDZt5Qk-mNKR1hs3tjsSRLFNOI2xjngu5jAWhIOGUda-aFwH6gufH9az58eXzzfLb4vr716vlp-uFa7mZFs4YrZwR6KTWATX3HeNouHFCqFaxoDgYxb1ZSY-gu8AFd2KlOh9okOjFWXN14PoEd3aT4wB5ZxNE-zeR8tpCrpP1aJnxmnIhfNuirJAOKAapW-kZrFaGVtaHA2szrwb0DscpQ_8E-rQyxlu7TlurWcdMpyrg3RGQ068Zy2SHWBz2PYyY5mK5MC3XnaGmSt_-I71Lcx7rU1muqNG8ZXzfkTqoXE6lZAwPzTBq9zaw9zawexvYow3quTePJ3k4df_pVfDxIIhjSHmA3yn33k6w61MOGUYXixX_v-MPWwbATA</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Li, Bingjie</creator><creator>Li, Xin</creator><creator>Wang, Yaxuan</creator><creator>Han, Yikai</creator><creator>Wang, Yidi</creator><creator>Wang, Chen</creator><creator>Zhang, Guorui</creator><creator>Jin, Jianjun</creator><creator>Jia, Hongxia</creator><creator>Fan, Feifei</creator><creator>Ma, Wang</creator><creator>Liu, Hong</creator><creator>Zhou, Yue</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><general>Taylor & Francis Group</general><scope>0YH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20200101</creationdate><title>Diagnostic value and key features of computed tomography in Coronavirus Disease 2019</title><author>Li, Bingjie ; Li, Xin ; Wang, Yaxuan ; Han, Yikai ; Wang, Yidi ; Wang, Chen ; Zhang, Guorui ; Jin, Jianjun ; Jia, Hongxia ; Fan, Feifei ; Ma, Wang ; Liu, Hong ; Zhou, Yue</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c628t-c8875c83ec477fe72d912e828c335651f52a852d8b4dea79f232c3b59df0f4ed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Betacoronavirus</topic><topic>Clinical Laboratory Techniques</topic><topic>computed tomography</topic><topic>Coronavirus Disease 2019</topic><topic>Coronavirus Infections - diagnosis</topic><topic>Coronavirus Infections - diagnostic imaging</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 Testing</topic><topic>diagnosis</topic><topic>Diagnosis, Differential</topic><topic>Disease</topic><topic>Disease Progression</topic><topic>ground-glass opacity</topic><topic>Humans</topic><topic>Lung - diagnostic imaging</topic><topic>Lung - pathology</topic><topic>Nucleic Acid Amplification Techniques</topic><topic>Pandemics</topic><topic>Pneumonia, Viral - diagnostic imaging</topic><topic>Radiography, Thoracic</topic><topic>Review</topic><topic>SARS-CoV-2</topic><topic>Severe Acute Respiratory Syndrome - diagnostic imaging</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Tomography, X-Ray Computed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Bingjie</creatorcontrib><creatorcontrib>Li, Xin</creatorcontrib><creatorcontrib>Wang, Yaxuan</creatorcontrib><creatorcontrib>Han, Yikai</creatorcontrib><creatorcontrib>Wang, Yidi</creatorcontrib><creatorcontrib>Wang, Chen</creatorcontrib><creatorcontrib>Zhang, Guorui</creatorcontrib><creatorcontrib>Jin, Jianjun</creatorcontrib><creatorcontrib>Jia, Hongxia</creatorcontrib><creatorcontrib>Fan, Feifei</creatorcontrib><creatorcontrib>Ma, Wang</creatorcontrib><creatorcontrib>Liu, Hong</creatorcontrib><creatorcontrib>Zhou, Yue</creatorcontrib><collection>Taylor & Francis Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Emerging microbes & infections</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Bingjie</au><au>Li, Xin</au><au>Wang, Yaxuan</au><au>Han, Yikai</au><au>Wang, Yidi</au><au>Wang, Chen</au><au>Zhang, Guorui</au><au>Jin, Jianjun</au><au>Jia, Hongxia</au><au>Fan, Feifei</au><au>Ma, Wang</au><au>Liu, Hong</au><au>Zhou, Yue</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnostic value and key features of computed tomography in Coronavirus Disease 2019</atitle><jtitle>Emerging microbes & infections</jtitle><addtitle>Emerg Microbes Infect</addtitle><date>2020-01-01</date><risdate>2020</risdate><volume>9</volume><issue>1</issue><spage>787</spage><epage>793</epage><pages>787-793</pages><issn>2222-1751</issn><eissn>2222-1751</eissn><abstract>On 31 December 2019, a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, Hubei province, China, and caused the outbreak of the Coronavirus Disease 2019 (COVID-19). 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subjects | Betacoronavirus Clinical Laboratory Techniques computed tomography Coronavirus Disease 2019 Coronavirus Infections - diagnosis Coronavirus Infections - diagnostic imaging Coronaviruses COVID-19 COVID-19 Testing diagnosis Diagnosis, Differential Disease Disease Progression ground-glass opacity Humans Lung - diagnostic imaging Lung - pathology Nucleic Acid Amplification Techniques Pandemics Pneumonia, Viral - diagnostic imaging Radiography, Thoracic Review SARS-CoV-2 Severe Acute Respiratory Syndrome - diagnostic imaging Severe acute respiratory syndrome coronavirus 2 Tomography, X-Ray Computed |
title | Diagnostic value and key features of computed tomography in Coronavirus Disease 2019 |
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