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 : 000613 ( PubMed/Curation ); précédent : 000612; suivant : 000614False-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 [République populaire de Chine] ; Dawei Wang [République populaire de Chine] ; Jianping Dong [République populaire de Chine] ; Nana Wang [République populaire de Chine] ; He Huang [République populaire de Chine] ; Haiwang Xu [République populaire de Chine] ; Chen Xia [République populaire de Chine]Source :
- Korean journal of radiology [ 2005-8330 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte, Faux négatifs, Humains, Infections à coronavirus (diagnostic), Infections à coronavirus (imagerie diagnostique), Infections à coronavirus (virologie), Mâle, Nourrisson, Pneumopathie virale (imagerie diagnostique), Pneumopathie virale (virologie), RT-PCR, Techniques de laboratoire clinique, Tomodensitométrie.
- MESH :
- diagnostic : Infections à coronavirus.
- imagerie diagnostique : Infections à coronavirus, Pneumopathie virale.
- virologie : Infections à coronavirus, Pneumopathie virale.
- Adulte, Faux négatifs, Humains, Mâle, Nourrisson, RT-PCR, Techniques de laboratoire clinique, Tomodensitométrie.
English descriptors
- KwdEn :
- Adult, Betacoronavirus (genetics), Betacoronavirus (isolation & purification), Clinical Laboratory Techniques, Coronavirus Infections (diagnosis), 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 :
- diagnosis : Coronavirus Infections.
- diagnostic imaging : Coronavirus Infections, Pneumonia, Viral.
- genetics : Betacoronavirus.
- isolation & purification : Betacoronavirus.
- virology : Coronavirus Infections, Pneumonia, Viral.
- Adult, Clinical Laboratory Techniques, 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
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<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>
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<ArticleIdList><ArticleId IdType="pubmed">31978945</ArticleId>
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<ArticleIdList><ArticleId IdType="pubmed">32017661</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Radiology. 2020 Feb 12;:200343</Citation>
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