False-Negative Results of Real-Time Reverse-Transcriptase Polymerase Chain Reaction for Severe Acute Respiratory Syndrome Coronavirus 2: Role of Deep-Learning-Based CT Diagnosis and Insights from Two Cases.
Identifieur interne : 000471 ( PubMed/Corpus ); précédent : 000470; suivant : 000472False-Negative Results of Real-Time Reverse-Transcriptase Polymerase Chain Reaction for Severe Acute Respiratory Syndrome Coronavirus 2: Role of Deep-Learning-Based CT Diagnosis and Insights from Two Cases.
Auteurs : Dasheng Li ; Dawei Wang ; Jianping Dong ; Nana Wang ; He Huang ; Haiwang Xu ; Chen XiaSource :
- Korean journal of radiology [ 2005-8330 ] ; 2020.
English descriptors
- KwdEn :
- Adult, Betacoronavirus (genetics), Betacoronavirus (isolation & purification), Coronavirus Infections (diagnostic imaging), Coronavirus Infections (virology), Deep Learning, False Negative Reactions, Humans, Infant, Male, Pneumonia, Viral (diagnostic imaging), Pneumonia, Viral (virology), Reverse Transcriptase Polymerase Chain Reaction, Tomography, X-Ray Computed.
- MESH :
- diagnostic imaging : Coronavirus Infections, Pneumonia, Viral.
- genetics : Betacoronavirus.
- isolation & purification : Betacoronavirus.
- virology : Coronavirus Infections, Pneumonia, Viral.
- Adult, Deep Learning, False Negative Reactions, Humans, Infant, Male, Reverse Transcriptase Polymerase Chain Reaction, Tomography, X-Ray Computed.
Abstract
The epidemic of 2019 novel coronavirus, later named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is still gradually spreading worldwide. The nucleic acid test or genetic sequencing serves as the gold standard method for confirmation of infection, yet several recent studies have reported false-negative results of real-time reverse-transcriptase polymerase chain reaction (rRT-PCR). Here, we report two representative false-negative cases and discuss the supplementary role of clinical data with rRT-PCR, including laboratory examination results and computed tomography features. Coinfection with SARS-COV-2 and other viruses has been discussed as well.
DOI: 10.3348/kjr.2020.0146
PubMed: 32174053
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pubmed:32174053Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">False-Negative Results of Real-Time Reverse-Transcriptase Polymerase Chain Reaction for Severe Acute Respiratory Syndrome Coronavirus 2: Role of Deep-Learning-Based CT Diagnosis and Insights from Two Cases.</title><author><name sortKey="Li, Dasheng" sort="Li, Dasheng" uniqKey="Li D" first="Dasheng" last="Li">Dasheng Li</name><affiliation><nlm:affiliation>Department of Radiology, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing, China. 724501143@qq.com.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Dawei" sort="Wang, Dawei" uniqKey="Wang D" first="Dawei" last="Wang">Dawei Wang</name><affiliation><nlm:affiliation>Institute of Advanced Research, Infervision, Beijing, China.</nlm:affiliation></affiliation></author><author><name sortKey="Dong, Jianping" sort="Dong, Jianping" uniqKey="Dong J" first="Jianping" last="Dong">Jianping Dong</name><affiliation><nlm:affiliation>Department of Infection, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing, China.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Nana" sort="Wang, Nana" uniqKey="Wang N" first="Nana" last="Wang">Nana Wang</name><affiliation><nlm:affiliation>Department of Radiology, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing, China.</nlm:affiliation></affiliation></author><author><name sortKey="Huang, He" sort="Huang, He" uniqKey="Huang H" first="He" last="Huang">He Huang</name><affiliation><nlm:affiliation>Department of Radiology, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing, China.</nlm:affiliation></affiliation></author><author><name sortKey="Xu, Haiwang" sort="Xu, Haiwang" uniqKey="Xu H" first="Haiwang" last="Xu">Haiwang Xu</name><affiliation><nlm:affiliation>Department of Radiology, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing, China.</nlm:affiliation></affiliation></author><author><name sortKey="Xia, Chen" sort="Xia, Chen" uniqKey="Xia C" first="Chen" last="Xia">Chen Xia</name><affiliation><nlm:affiliation>Institute of Advanced Research, Infervision, Beijing, China.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32174053</idno><idno type="pmid">32174053</idno><idno type="doi">10.3348/kjr.2020.0146</idno><idno type="wicri:Area/PubMed/Corpus">000471</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000471</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">False-Negative Results of Real-Time Reverse-Transcriptase Polymerase Chain Reaction for Severe Acute Respiratory Syndrome Coronavirus 2: Role of Deep-Learning-Based CT Diagnosis and Insights from Two Cases.</title><author><name sortKey="Li, Dasheng" sort="Li, Dasheng" uniqKey="Li D" first="Dasheng" last="Li">Dasheng Li</name><affiliation><nlm:affiliation>Department of Radiology, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing, China. 724501143@qq.com.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Dawei" sort="Wang, Dawei" uniqKey="Wang D" first="Dawei" last="Wang">Dawei Wang</name><affiliation><nlm:affiliation>Institute of Advanced Research, Infervision, Beijing, China.</nlm:affiliation></affiliation></author><author><name sortKey="Dong, Jianping" sort="Dong, Jianping" uniqKey="Dong J" first="Jianping" last="Dong">Jianping Dong</name><affiliation><nlm:affiliation>Department of Infection, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing, China.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Nana" sort="Wang, Nana" uniqKey="Wang N" first="Nana" last="Wang">Nana Wang</name><affiliation><nlm:affiliation>Department of Radiology, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing, China.</nlm:affiliation></affiliation></author><author><name sortKey="Huang, He" sort="Huang, He" uniqKey="Huang H" first="He" last="Huang">He Huang</name><affiliation><nlm:affiliation>Department of Radiology, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing, China.</nlm:affiliation></affiliation></author><author><name sortKey="Xu, Haiwang" sort="Xu, Haiwang" uniqKey="Xu H" first="Haiwang" last="Xu">Haiwang Xu</name><affiliation><nlm:affiliation>Department of Radiology, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing, China.</nlm:affiliation></affiliation></author><author><name sortKey="Xia, Chen" sort="Xia, Chen" uniqKey="Xia C" first="Chen" last="Xia">Chen Xia</name><affiliation><nlm:affiliation>Institute of Advanced Research, Infervision, Beijing, China.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Korean journal of radiology</title><idno type="eISSN">2005-8330</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Betacoronavirus (genetics)</term><term>Betacoronavirus (isolation & purification)</term><term>Coronavirus Infections (diagnostic imaging)</term><term>Coronavirus Infections (virology)</term><term>Deep Learning</term><term>False Negative Reactions</term><term>Humans</term><term>Infant</term><term>Male</term><term>Pneumonia, Viral (diagnostic imaging)</term><term>Pneumonia, Viral (virology)</term><term>Reverse Transcriptase Polymerase Chain Reaction</term><term>Tomography, X-Ray Computed</term></keywords><keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Betacoronavirus</term></keywords><keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Betacoronavirus</term></keywords><keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Deep Learning</term><term>False Negative Reactions</term><term>Humans</term><term>Infant</term><term>Male</term><term>Reverse Transcriptase Polymerase Chain Reaction</term><term>Tomography, X-Ray Computed</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The epidemic of 2019 novel coronavirus, later named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is still gradually spreading worldwide. The nucleic acid test or genetic sequencing serves as the gold standard method for confirmation of infection, yet several recent studies have reported false-negative results of real-time reverse-transcriptase polymerase chain reaction (rRT-PCR). Here, we report two representative false-negative cases and discuss the supplementary role of clinical data with rRT-PCR, including laboratory examination results and computed tomography features. Coinfection with SARS-COV-2 and other viruses has been discussed as well.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">32174053</PMID><DateCompleted><Year>2020</Year><Month>03</Month><Day>24</Day></DateCompleted><DateRevised><Year>2020</Year><Month>03</Month><Day>25</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">2005-8330</ISSN><JournalIssue CitedMedium="Internet"><Volume>21</Volume><Issue>4</Issue><PubDate><Year>2020</Year><Month>04</Month></PubDate></JournalIssue><Title>Korean journal of radiology</Title><ISOAbbreviation>Korean J Radiol</ISOAbbreviation></Journal><ArticleTitle>False-Negative Results of Real-Time Reverse-Transcriptase Polymerase Chain Reaction for Severe Acute Respiratory Syndrome Coronavirus 2: Role of Deep-Learning-Based CT Diagnosis and Insights from Two Cases.</ArticleTitle><Pagination><MedlinePgn>505-508</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3348/kjr.2020.0146</ELocationID><Abstract><AbstractText>The epidemic of 2019 novel coronavirus, later named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is still gradually spreading worldwide. The nucleic acid test or genetic sequencing serves as the gold standard method for confirmation of infection, yet several recent studies have reported false-negative results of real-time reverse-transcriptase polymerase chain reaction (rRT-PCR). Here, we report two representative false-negative cases and discuss the supplementary role of clinical data with rRT-PCR, including laboratory examination results and computed tomography features. Coinfection with SARS-COV-2 and other viruses has been discussed as well.</AbstractText><CopyrightInformation>Copyright © 2020 The Korean Society of Radiology.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Dasheng</ForeName><Initials>D</Initials><Identifier Source="ORCID">0000-0002-5071-5739</Identifier><AffiliationInfo><Affiliation>Department of Radiology, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing, China. 724501143@qq.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Dawei</ForeName><Initials>D</Initials><Identifier Source="ORCID">0000-0002-8670-1961</Identifier><AffiliationInfo><Affiliation>Institute of Advanced Research, Infervision, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Dong</LastName><ForeName>Jianping</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Infection, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Nana</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Department of Radiology, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Huang</LastName><ForeName>He</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Department of Radiology, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Xu</LastName><ForeName>Haiwang</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Department of Radiology, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Xia</LastName><ForeName>Chen</ForeName><Initials>C</Initials><Identifier Source="ORCID">0000-0002-8839-0220</Identifier><AffiliationInfo><Affiliation>Institute of Advanced Research, Infervision, Beijing, China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D002363">Case Reports</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>03</Month><Day>05</Day></ArticleDate></Article><MedlineJournalInfo><Country>Korea (South)</Country><MedlineTA>Korean J Radiol</MedlineTA><NlmUniqueID>100956096</NlmUniqueID><ISSNLinking>1229-6929</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName><SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="ErratumIn"><RefSource>Korean J Radiol. 2020 Mar 20;:</RefSource><PMID Version="1">32207257</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName><QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000000981" MajorTopicYN="N">diagnostic imaging</QualifierName><QualifierName UI="Q000821" MajorTopicYN="Y">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000077321" MajorTopicYN="N">Deep Learning</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005188" MajorTopicYN="N">False Negative Reactions</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007223" MajorTopicYN="N">Infant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000000981" MajorTopicYN="N">diagnostic imaging</QualifierName><QualifierName UI="Q000821" MajorTopicYN="Y">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D020133" MajorTopicYN="Y">Reverse Transcriptase Polymerase Chain Reaction</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014057" MajorTopicYN="N">Tomography, X-Ray Computed</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">COVID-19</Keyword><Keyword MajorTopicYN="Y">Computed tomography</Keyword><Keyword MajorTopicYN="Y">False-negative results</Keyword><Keyword MajorTopicYN="Y">Laboratory examination</Keyword><Keyword MajorTopicYN="Y">SARS-COV-2</Keyword><Keyword MajorTopicYN="Y">rRT-PCR</Keyword></KeywordList><CoiStatement>The authors have no potential conflicts of interest to disclose.</CoiStatement></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>02</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>02</Month><Day>25</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>3</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>3</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>3</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32174053</ArticleId><ArticleId IdType="pii">21.e37</ArticleId><ArticleId IdType="doi">10.3348/kjr.2020.0146</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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