Chest Computed Tomography Manifestation of Coronavirus Disease 2019 (COVID-19) in Patients With Cardiothoracic Conditions.
Identifieur interne : 000285 ( Main/Corpus ); précédent : 000284; suivant : 000286Chest Computed Tomography Manifestation of Coronavirus Disease 2019 (COVID-19) in Patients With Cardiothoracic Conditions.
Auteurs : Sana Salehi ; Aidin Abedi ; Amir Reza Radmard ; Majid Sorouri ; Ali GholamrezanezhadSource :
- Journal of thoracic imaging [ 1536-0237 ] ; 2020.
English descriptors
- KwdEn :
- Betacoronavirus (MeSH), Cardiovascular Diseases (complications), Cardiovascular Diseases (diagnostic imaging), Coronavirus Infections (complications), Coronavirus Infections (diagnostic imaging), Humans (MeSH), Lung Diseases (complications), Lung Diseases (diagnostic imaging), Pandemics (MeSH), Pneumonia, Viral (complications), Pneumonia, Viral (diagnostic imaging), Radiography, Thoracic (methods), Tomography, X-Ray Computed (methods).
- MESH :
- complications : Cardiovascular Diseases, Coronavirus Infections, Lung Diseases, Pneumonia, Viral.
- diagnostic imaging : Cardiovascular Diseases, Coronavirus Infections, Lung Diseases, Pneumonia, Viral.
- methods : Radiography, Thoracic, Tomography, X-Ray Computed.
- Betacoronavirus, Humans, Pandemics.
Abstract
The coronavirus disease 2019 (COVID-19) pandemic is a serious public health concern, with an exponentially growing number of patients worldwide. Computed tomography (CT) has been suggested as a highly sensitive modality for the diagnosis of pulmonary involvement in the early stages of COVID-19. The typical features of COVID-19 in chest CT include bilateral, peripheral, and multifocal ground-glass opacities with or without superimposed consolidations. Patients with underlying medical conditions are at higher risks of complications and mortality. The diagnosis of COVID-19 on the basis of the imaging features may be more challenging in patients with preexisting cardiothoracic conditions, such as chronic obstructive pulmonary disease, interstitial lung disease, cardiovascular disease, and malignancies with cardiothoracic involvement. The extensive pulmonary involvement in some of these pathologies may obscure the typical manifestation of COVID-19, whereas other preexisting pathologies may resemble the atypical or rare CT manifestations of this viral pneumonia. Thus, understanding the specific CT manifestations in these special subgroups is essential for a prompt diagnosis.
DOI: 10.1097/RTI.0000000000000531
PubMed: 32404799
Links to Exploration step
pubmed:32404799Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Chest Computed Tomography Manifestation of Coronavirus Disease 2019 (COVID-19) in Patients With Cardiothoracic Conditions.</title><author><name sortKey="Salehi, Sana" sort="Salehi, Sana" uniqKey="Salehi S" first="Sana" last="Salehi">Sana Salehi</name><affiliation><nlm:affiliation>Keck School of Medicine, University of Southern California, Los Angeles, CA.</nlm:affiliation></affiliation></author><author><name sortKey="Abedi, Aidin" sort="Abedi, Aidin" uniqKey="Abedi A" first="Aidin" last="Abedi">Aidin Abedi</name><affiliation><nlm:affiliation>Keck School of Medicine, University of Southern California, Los Angeles, CA.</nlm:affiliation></affiliation></author><author><name sortKey="Radmard, Amir Reza" sort="Radmard, Amir Reza" uniqKey="Radmard A" first="Amir Reza" last="Radmard">Amir Reza Radmard</name><affiliation><nlm:affiliation>Department of Radiology.</nlm:affiliation></affiliation></author><author><name sortKey="Sorouri, Majid" sort="Sorouri, Majid" uniqKey="Sorouri M" first="Majid" last="Sorouri">Majid Sorouri</name><affiliation><nlm:affiliation>Digestive Diseases Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.</nlm:affiliation></affiliation></author><author><name sortKey="Gholamrezanezhad, Ali" sort="Gholamrezanezhad, Ali" uniqKey="Gholamrezanezhad A" first="Ali" last="Gholamrezanezhad">Ali Gholamrezanezhad</name><affiliation><nlm:affiliation>Keck School of Medicine, University of Southern California, Los Angeles, CA.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32404799</idno><idno type="pmid">32404799</idno><idno type="doi">10.1097/RTI.0000000000000531</idno><idno type="wicri:Area/Main/Corpus">000285</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000285</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Chest Computed Tomography Manifestation of Coronavirus Disease 2019 (COVID-19) in Patients With Cardiothoracic Conditions.</title><author><name sortKey="Salehi, Sana" sort="Salehi, Sana" uniqKey="Salehi S" first="Sana" last="Salehi">Sana Salehi</name><affiliation><nlm:affiliation>Keck School of Medicine, University of Southern California, Los Angeles, CA.</nlm:affiliation></affiliation></author><author><name sortKey="Abedi, Aidin" sort="Abedi, Aidin" uniqKey="Abedi A" first="Aidin" last="Abedi">Aidin Abedi</name><affiliation><nlm:affiliation>Keck School of Medicine, University of Southern California, Los Angeles, CA.</nlm:affiliation></affiliation></author><author><name sortKey="Radmard, Amir Reza" sort="Radmard, Amir Reza" uniqKey="Radmard A" first="Amir Reza" last="Radmard">Amir Reza Radmard</name><affiliation><nlm:affiliation>Department of Radiology.</nlm:affiliation></affiliation></author><author><name sortKey="Sorouri, Majid" sort="Sorouri, Majid" uniqKey="Sorouri M" first="Majid" last="Sorouri">Majid Sorouri</name><affiliation><nlm:affiliation>Digestive Diseases Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.</nlm:affiliation></affiliation></author><author><name sortKey="Gholamrezanezhad, Ali" sort="Gholamrezanezhad, Ali" uniqKey="Gholamrezanezhad A" first="Ali" last="Gholamrezanezhad">Ali Gholamrezanezhad</name><affiliation><nlm:affiliation>Keck School of Medicine, University of Southern California, Los Angeles, CA.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Journal of thoracic imaging</title><idno type="eISSN">1536-0237</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Betacoronavirus (MeSH)</term><term>Cardiovascular Diseases (complications)</term><term>Cardiovascular Diseases (diagnostic imaging)</term><term>Coronavirus Infections (complications)</term><term>Coronavirus Infections (diagnostic imaging)</term><term>Humans (MeSH)</term><term>Lung Diseases (complications)</term><term>Lung Diseases (diagnostic imaging)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (complications)</term><term>Pneumonia, Viral (diagnostic imaging)</term><term>Radiography, Thoracic (methods)</term><term>Tomography, X-Ray Computed (methods)</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Cardiovascular Diseases</term><term>Coronavirus Infections</term><term>Lung Diseases</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Cardiovascular Diseases</term><term>Coronavirus Infections</term><term>Lung Diseases</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Radiography, Thoracic</term><term>Tomography, X-Ray Computed</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Betacoronavirus</term><term>Humans</term><term>Pandemics</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The coronavirus disease 2019 (COVID-19) pandemic is a serious public health concern, with an exponentially growing number of patients worldwide. Computed tomography (CT) has been suggested as a highly sensitive modality for the diagnosis of pulmonary involvement in the early stages of COVID-19. The typical features of COVID-19 in chest CT include bilateral, peripheral, and multifocal ground-glass opacities with or without superimposed consolidations. Patients with underlying medical conditions are at higher risks of complications and mortality. The diagnosis of COVID-19 on the basis of the imaging features may be more challenging in patients with preexisting cardiothoracic conditions, such as chronic obstructive pulmonary disease, interstitial lung disease, cardiovascular disease, and malignancies with cardiothoracic involvement. The extensive pulmonary involvement in some of these pathologies may obscure the typical manifestation of COVID-19, whereas other preexisting pathologies may resemble the atypical or rare CT manifestations of this viral pneumonia. Thus, understanding the specific CT manifestations in these special subgroups is essential for a prompt diagnosis.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32404799</PMID><DateCompleted><Year>2020</Year><Month>07</Month><Day>06</Day></DateCompleted><DateRevised><Year>2020</Year><Month>07</Month><Day>06</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1536-0237</ISSN><JournalIssue CitedMedium="Internet"><Volume>35</Volume><Issue>4</Issue><PubDate><Year>2020</Year><Month>Jul</Month></PubDate></JournalIssue><Title>Journal of thoracic imaging</Title><ISOAbbreviation>J Thorac Imaging</ISOAbbreviation></Journal><ArticleTitle>Chest Computed Tomography Manifestation of Coronavirus Disease 2019 (COVID-19) in Patients With Cardiothoracic Conditions.</ArticleTitle><Pagination><MedlinePgn>W90-W96</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1097/RTI.0000000000000531</ELocationID><Abstract><AbstractText>The coronavirus disease 2019 (COVID-19) pandemic is a serious public health concern, with an exponentially growing number of patients worldwide. Computed tomography (CT) has been suggested as a highly sensitive modality for the diagnosis of pulmonary involvement in the early stages of COVID-19. The typical features of COVID-19 in chest CT include bilateral, peripheral, and multifocal ground-glass opacities with or without superimposed consolidations. Patients with underlying medical conditions are at higher risks of complications and mortality. The diagnosis of COVID-19 on the basis of the imaging features may be more challenging in patients with preexisting cardiothoracic conditions, such as chronic obstructive pulmonary disease, interstitial lung disease, cardiovascular disease, and malignancies with cardiothoracic involvement. The extensive pulmonary involvement in some of these pathologies may obscure the typical manifestation of COVID-19, whereas other preexisting pathologies may resemble the atypical or rare CT manifestations of this viral pneumonia. Thus, understanding the specific CT manifestations in these special subgroups is essential for a prompt diagnosis.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Salehi</LastName><ForeName>Sana</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Keck School of Medicine, University of Southern California, Los Angeles, CA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Abedi</LastName><ForeName>Aidin</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Keck School of Medicine, University of Southern California, Los Angeles, CA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Radmard</LastName><ForeName>Amir Reza</ForeName><Initials>AR</Initials><AffiliationInfo><Affiliation>Department of Radiology.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sorouri</LastName><ForeName>Majid</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Digestive Diseases Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gholamrezanezhad</LastName><ForeName>Ali</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Keck School of Medicine, University of Southern California, Los Angeles, CA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D016454">Review</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Thorac Imaging</MedlineTA><NlmUniqueID>8606160</NlmUniqueID><ISSNLinking>0883-5993</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><MeshHeadingList><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002318" MajorTopicYN="N">Cardiovascular Diseases</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="N">complications</QualifierName><QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="N">complications</QualifierName><QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008171" MajorTopicYN="N">Lung Diseases</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="N">complications</QualifierName><QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="N">complications</QualifierName><QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013902" MajorTopicYN="N">Radiography, Thoracic</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014057" MajorTopicYN="N">Tomography, X-Ray Computed</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>5</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>7</Month><Day>7</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>5</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32404799</ArticleId><ArticleId IdType="doi">10.1097/RTI.0000000000000531</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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