Thorax Magnetic Resonance Imaging Findings in Patients with Coronavirus Disease (COVID-19).
Identifieur interne : 000129 ( Main/Exploration ); précédent : 000128; suivant : 000130Thorax Magnetic Resonance Imaging Findings in Patients with Coronavirus Disease (COVID-19).
Auteurs : Omer Faruk Ates [Turquie] ; Onur Taydas [Turquie] ; Hamad Dheir [Turquie]Source :
- Academic radiology [ 1878-4046 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Betacoronavirus (MeSH), Femelle (MeSH), Humains (MeSH), Imagerie par résonance magnétique (MeSH), Infections à coronavirus (imagerie diagnostique), Jeune adulte (MeSH), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (imagerie diagnostique), Poumon (MeSH), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH).
- MESH :
- imagerie diagnostique : Infections à coronavirus, Pneumopathie virale.
- Adulte, Adulte d'âge moyen, Betacoronavirus, Femelle, Humains, Imagerie par résonance magnétique, Jeune adulte, Mâle, Pandémies, Poumon, Sujet âgé, Sujet âgé de 80 ans ou plus.
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Betacoronavirus (MeSH), Coronavirus Infections (diagnostic imaging), Female (MeSH), Humans (MeSH), Lung (MeSH), Magnetic Resonance Imaging (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (diagnostic imaging), Young Adult (MeSH).
- MESH :
- diagnostic imaging : Coronavirus Infections, Pneumonia, Viral.
- Adult, Aged, Aged, 80 and over, Betacoronavirus, Female, Humans, Lung, Magnetic Resonance Imaging, Male, Middle Aged, Pandemics, Young Adult.
Abstract
RATIONALE AND OBJECTIVES
The aim of this study was to compare the findings found in thorax computed tomography (CT), which is increasingly used in the diagnosis of the important public health problem of coronavirus disease (COVID-19), and the findings of magnetic resonance imaging (MRI) as an important diagnostic alternative.
MATERIALS AND METHODS
Thirty-two patients diagnosed with COVID-19 who underwent thorax CT for COVID pneumonia and MRI for any reason within 24 hours after CT were included in the study. The number of lobes affected, number of lobes containing ground-glass opacities and consolidation, number of nodules, distribution of lesions (central, peripheral, or diffuse), lobes with centrilobular nodular pattern, and the presence of pleural effusion were recorded separately for both imaging methods.
RESULTS
Seventeen of the patients were female (53%) and 15 were male (47%). The mean age of the patients was 60.5 (range, 20-85) years. A total of 31 patients (96%) had signs of pneumonia on CT. The most common finding in CT was ground-glass opacities in 29 patients (90.6%), followed by consolidation in 14 patients (43.75%). Both consolidation and ground-glass opacities were also observed in MRI in all of these patients. Nodules were detected in 12 patients (37.5%) on CT and 11 patients (34.4%) on MRI. The sensitivity and specificity of MRI in nodule detection were calculated as 91.67% and 100%, respectively.
CONCLUSION
Although thorax CT is widely used in the imaging of COVID-19 infection, due to its advantages, MRI can also be used as an alternative diagnostic tool.
DOI: 10.1016/j.acra.2020.08.009
PubMed: 32830031
PubMed Central: PMC7428769
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Electronic address: taydasonur@gmail.com.</nlm:affiliation><country xml:lang="fr">Turquie</country><wicri:regionArea>Sakarya University, School of Medicine, Department of Radiology, Sakarya</wicri:regionArea><wicri:noRegion>Sakarya</wicri:noRegion></affiliation></author><author><name sortKey="Dheir, Hamad" sort="Dheir, Hamad" uniqKey="Dheir H" first="Hamad" last="Dheir">Hamad Dheir</name><affiliation wicri:level="1"><nlm:affiliation>Sakarya University, School of Medicine, Department of Internal Medicine, Sakarya, Turkey.</nlm:affiliation><country xml:lang="fr">Turquie</country><wicri:regionArea>Sakarya University, School of Medicine, Department of Internal Medicine, Sakarya</wicri:regionArea><wicri:noRegion>Sakarya</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32830031</idno><idno type="pmid">32830031</idno><idno type="doi">10.1016/j.acra.2020.08.009</idno><idno type="pmc">PMC7428769</idno><idno type="wicri:Area/Main/Corpus">000515</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000515</idno><idno type="wicri:Area/Main/Curation">000515</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000515</idno><idno type="wicri:Area/Main/Exploration">000515</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Thorax Magnetic Resonance Imaging Findings in Patients with Coronavirus Disease (COVID-19).</title><author><name sortKey="Ates, Omer Faruk" sort="Ates, Omer Faruk" uniqKey="Ates O" first="Omer Faruk" last="Ates">Omer Faruk Ates</name><affiliation wicri:level="1"><nlm:affiliation>Sakarya University, School of Medicine, Department of Radiology, Sakarya, Turkey.</nlm:affiliation><country xml:lang="fr">Turquie</country><wicri:regionArea>Sakarya University, School of Medicine, Department of Radiology, Sakarya</wicri:regionArea><wicri:noRegion>Sakarya</wicri:noRegion></affiliation></author><author><name sortKey="Taydas, Onur" sort="Taydas, Onur" uniqKey="Taydas O" first="Onur" last="Taydas">Onur Taydas</name><affiliation wicri:level="1"><nlm:affiliation>Sakarya University, School of Medicine, Department of Radiology, Sakarya, Turkey. Electronic address: taydasonur@gmail.com.</nlm:affiliation><country xml:lang="fr">Turquie</country><wicri:regionArea>Sakarya University, School of Medicine, Department of Radiology, Sakarya</wicri:regionArea><wicri:noRegion>Sakarya</wicri:noRegion></affiliation></author><author><name sortKey="Dheir, Hamad" sort="Dheir, Hamad" uniqKey="Dheir H" first="Hamad" last="Dheir">Hamad Dheir</name><affiliation wicri:level="1"><nlm:affiliation>Sakarya University, School of Medicine, Department of Internal Medicine, Sakarya, Turkey.</nlm:affiliation><country xml:lang="fr">Turquie</country><wicri:regionArea>Sakarya University, School of Medicine, Department of Internal Medicine, Sakarya</wicri:regionArea><wicri:noRegion>Sakarya</wicri:noRegion></affiliation></author></analytic><series><title level="j">Academic radiology</title><idno type="eISSN">1878-4046</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Aged, 80 and over (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>Coronavirus Infections (diagnostic imaging)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Lung (MeSH)</term><term>Magnetic Resonance Imaging (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (diagnostic imaging)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Imagerie par résonance magnétique (MeSH)</term><term>Infections à coronavirus (imagerie diagnostique)</term><term>Jeune adulte (MeSH)</term><term>Mâle (MeSH)</term><term>Pandémies (MeSH)</term><term>Pneumopathie virale (imagerie diagnostique)</term><term>Poumon (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Sujet âgé de 80 ans ou plus (MeSH)</term></keywords><keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="imagerie diagnostique" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Aged, 80 and over</term><term>Betacoronavirus</term><term>Female</term><term>Humans</term><term>Lung</term><term>Magnetic Resonance Imaging</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Betacoronavirus</term><term>Femelle</term><term>Humains</term><term>Imagerie par résonance magnétique</term><term>Jeune adulte</term><term>Mâle</term><term>Pandémies</term><term>Poumon</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>RATIONALE AND OBJECTIVES</b></p><p>The aim of this study was to compare the findings found in thorax computed tomography (CT), which is increasingly used in the diagnosis of the important public health problem of coronavirus disease (COVID-19), and the findings of magnetic resonance imaging (MRI) as an important diagnostic alternative.</p></div><div type="abstract" xml:lang="en"><p><b>MATERIALS AND METHODS</b></p><p>Thirty-two patients diagnosed with COVID-19 who underwent thorax CT for COVID pneumonia and MRI for any reason within 24 hours after CT were included in the study. The number of lobes affected, number of lobes containing ground-glass opacities and consolidation, number of nodules, distribution of lesions (central, peripheral, or diffuse), lobes with centrilobular nodular pattern, and the presence of pleural effusion were recorded separately for both imaging methods.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Seventeen of the patients were female (53%) and 15 were male (47%). The mean age of the patients was 60.5 (range, 20-85) years. A total of 31 patients (96%) had signs of pneumonia on CT. The most common finding in CT was ground-glass opacities in 29 patients (90.6%), followed by consolidation in 14 patients (43.75%). Both consolidation and ground-glass opacities were also observed in MRI in all of these patients. Nodules were detected in 12 patients (37.5%) on CT and 11 patients (34.4%) on MRI. The sensitivity and specificity of MRI in nodule detection were calculated as 91.67% and 100%, respectively.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>Although thorax CT is widely used in the imaging of COVID-19 infection, due to its advantages, MRI can also be used as an alternative diagnostic tool.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">32830031</PMID><DateCompleted><Year>2020</Year><Month>10</Month><Day>08</Day></DateCompleted><DateRevised><Year>2020</Year><Month>10</Month><Day>08</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1878-4046</ISSN><JournalIssue CitedMedium="Internet"><Volume>27</Volume><Issue>10</Issue><PubDate><Year>2020</Year><Month>10</Month></PubDate></JournalIssue><Title>Academic radiology</Title><ISOAbbreviation>Acad Radiol</ISOAbbreviation></Journal><ArticleTitle>Thorax Magnetic Resonance Imaging Findings in Patients with Coronavirus Disease (COVID-19).</ArticleTitle><Pagination><MedlinePgn>1373-1378</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S1076-6332(20)30490-6</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.acra.2020.08.009</ELocationID><Abstract><AbstractText Label="RATIONALE AND OBJECTIVES">The aim of this study was to compare the findings found in thorax computed tomography (CT), which is increasingly used in the diagnosis of the important public health problem of coronavirus disease (COVID-19), and the findings of magnetic resonance imaging (MRI) as an important diagnostic alternative.</AbstractText><AbstractText Label="MATERIALS AND METHODS">Thirty-two patients diagnosed with COVID-19 who underwent thorax CT for COVID pneumonia and MRI for any reason within 24 hours after CT were included in the study. The number of lobes affected, number of lobes containing ground-glass opacities and consolidation, number of nodules, distribution of lesions (central, peripheral, or diffuse), lobes with centrilobular nodular pattern, and the presence of pleural effusion were recorded separately for both imaging methods.</AbstractText><AbstractText Label="RESULTS">Seventeen of the patients were female (53%) and 15 were male (47%). The mean age of the patients was 60.5 (range, 20-85) years. A total of 31 patients (96%) had signs of pneumonia on CT. The most common finding in CT was ground-glass opacities in 29 patients (90.6%), followed by consolidation in 14 patients (43.75%). Both consolidation and ground-glass opacities were also observed in MRI in all of these patients. Nodules were detected in 12 patients (37.5%) on CT and 11 patients (34.4%) on MRI. The sensitivity and specificity of MRI in nodule detection were calculated as 91.67% and 100%, respectively.</AbstractText><AbstractText Label="CONCLUSION">Although thorax CT is widely used in the imaging of COVID-19 infection, due to its advantages, MRI can also be used as an alternative diagnostic tool.</AbstractText><CopyrightInformation>Copyright © 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ates</LastName><ForeName>Omer Faruk</ForeName><Initials>OF</Initials><AffiliationInfo><Affiliation>Sakarya University, School of Medicine, Department of Radiology, Sakarya, Turkey.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Taydas</LastName><ForeName>Onur</ForeName><Initials>O</Initials><AffiliationInfo><Affiliation>Sakarya University, School of Medicine, Department of Radiology, Sakarya, Turkey. Electronic address: taydasonur@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Dheir</LastName><ForeName>Hamad</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Sakarya University, School of Medicine, Department of Internal Medicine, Sakarya, Turkey.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>08</Month><Day>15</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Acad Radiol</MedlineTA><NlmUniqueID>9440159</NlmUniqueID><ISSNLinking>1076-6332</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="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="Y">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="Y">Coronavirus Infections</DescriptorName><QualifierName UI="Q000000981" MajorTopicYN="N">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008168" MajorTopicYN="N">Lung</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008279" MajorTopicYN="N">Magnetic Resonance Imaging</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="Y">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="Y">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000000981" MajorTopicYN="N">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">COVID-19</Keyword><Keyword MajorTopicYN="Y">Computed tomography</Keyword><Keyword MajorTopicYN="Y">Magnetic resonance imaging</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>06</Month><Day>15</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>07</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>08</Month><Day>09</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>8</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>10</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>8</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32830031</ArticleId><ArticleId IdType="pii">S1076-6332(20)30490-6</ArticleId><ArticleId IdType="doi">10.1016/j.acra.2020.08.009</ArticleId><ArticleId IdType="pmc">PMC7428769</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Turquie</li></country></list><tree><country name="Turquie"><noRegion><name sortKey="Ates, Omer Faruk" sort="Ates, Omer Faruk" uniqKey="Ates O" first="Omer Faruk" last="Ates">Omer Faruk Ates</name></noRegion><name sortKey="Dheir, Hamad" sort="Dheir, Hamad" uniqKey="Dheir H" first="Hamad" last="Dheir">Hamad Dheir</name><name sortKey="Taydas, Onur" sort="Taydas, Onur" uniqKey="Taydas O" first="Onur" last="Taydas">Onur Taydas</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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