Covid-19: Correlation of Early Chest Computed Tomography Findings With the Course of Disease.
Identifieur interne : 000006 ( Main/Exploration ); précédent : 000005; suivant : 000007Covid-19: Correlation of Early Chest Computed Tomography Findings With the Course of Disease.
Auteurs : Sukru Mehmet Erturk ; Gorkem Durak ; Hakan Ayyildiz ; Rana Gunoz Comert ; Alpay Medetalibeyoglu ; Naci Senkal ; Emre Uysal [Turquie] ; Atadan TunaciSource :
- Journal of computer assisted tomography [ 1532-3145 ]
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Betacoronavirus (MeSH), Femelle (MeSH), Humains (MeSH), Infections à coronavirus (diagnostic), Jeune adulte (MeSH), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (diagnostic), Poumon (imagerie diagnostique), Radiographie thoracique (méthodes), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Tomodensitométrie (méthodes), Études rétrospectives (MeSH), Évolution de la maladie (MeSH).
- MESH :
- diagnostic : Infections à coronavirus, Pneumopathie virale.
- imagerie diagnostique : Poumon.
- méthodes : Radiographie thoracique, Tomodensitométrie.
- Adulte, Adulte d'âge moyen, Betacoronavirus, Femelle, Humains, Jeune adulte, Mâle, Pandémies, Sujet âgé, Sujet âgé de 80 ans ou plus, Études rétrospectives, Évolution de la maladie.
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Betacoronavirus (MeSH), Coronavirus Infections (diagnosis), Disease Progression (MeSH), Female (MeSH), Humans (MeSH), Lung (diagnostic imaging), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (diagnosis), Radiography, Thoracic (methods), Retrospective Studies (MeSH), Tomography, X-Ray Computed (methods), Young Adult (MeSH).
- MESH :
- diagnosis : Coronavirus Infections, Pneumonia, Viral.
- diagnostic imaging : Lung.
- methods : Radiography, Thoracic, Tomography, X-Ray Computed.
- Adult, Aged, Aged, 80 and over, Betacoronavirus, Disease Progression, Female, Humans, Male, Middle Aged, Pandemics, Retrospective Studies, Young Adult.
Abstract
OBJECTIVE
To investigate the role of chest computed tomography (CT) examinations acquired early after initial onset of symptoms in predicting disease course in coronavirus disease 2019.
METHODS
Two hundred sixty-two patients were categorized according to intensive care unit (ICU) admission, survival, length of hospital stay, and reverse transcriptase-polymerase chain reaction positivity. Mean time interval between the onset of symptoms and CT scan was 5.2 ± 2.3 days. Groups were compared using Student t test, Mann-Whitney U, and Fisher exact tests.
RESULTS
In the ICU (+) and died groups, crazy paving (64% and 57.1%), bronchus distortion (68% and 66.7%), bronchiectasis-bronchiolectasis (80% and 76.2%), air trapping (52% and 52.4%) and mediastinal-hilar lymph node enlargement (52% and 52.4%) were significantly more encountered (P < 0,05). These findings were correlated with longer hospital stays (P < 0.05). There were no differences between reverse transcriptase-polymerase chain reaction-positive and -negative patients except bronchiectasis-bronchiolectasis.
CONCLUSION
Computed tomography examinations performed early after the onset of symptoms may help in predicting disease course and planning of resources, such as ICU beds.
DOI: 10.1097/RCT.0000000000001073
PubMed: 32842068
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Senkal</name><affiliation><nlm:affiliation>Department of Internal Medicine, Istanbul University School of Medicine, Capa, Istanbul.</nlm:affiliation><wicri:noCountry code="subField">Istanbul</wicri:noCountry></affiliation></author><author><name sortKey="Uysal, Emre" sort="Uysal, Emre" uniqKey="Uysal E" first="Emre" last="Uysal">Emre Uysal</name><affiliation wicri:level="1"><nlm:affiliation>Department of Radiation Oncology, Okmeydani Training and Research Hospital, Sisli, Istanbul, Turkey.</nlm:affiliation><country xml:lang="fr">Turquie</country><wicri:regionArea>Department of Radiation Oncology, Okmeydani Training and Research Hospital, Sisli, Istanbul</wicri:regionArea><wicri:noRegion>Istanbul</wicri:noRegion></affiliation></author><author><name sortKey="Tunaci, Atadan" sort="Tunaci, Atadan" uniqKey="Tunaci A" first="Atadan" last="Tunaci">Atadan Tunaci</name><affiliation><nlm:affiliation>From the Department of Radiology.</nlm:affiliation><wicri:noCountry code="no comma">From the Department of Radiology.</wicri:noCountry></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020 Sep/Oct</date><idno type="RBID">pubmed:32842068</idno><idno type="pmid">32842068</idno><idno type="doi">10.1097/RCT.0000000000001073</idno><idno type="wicri:Area/Main/Corpus">000498</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000498</idno><idno type="wicri:Area/Main/Curation">000498</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000498</idno><idno type="wicri:Area/Main/Exploration">000498</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Covid-19: Correlation of Early Chest Computed Tomography Findings With the Course of Disease.</title><author><name sortKey="Erturk, Sukru Mehmet" sort="Erturk, Sukru Mehmet" uniqKey="Erturk S" first="Sukru Mehmet" last="Erturk">Sukru Mehmet Erturk</name><affiliation><nlm:affiliation>From the Department of Radiology.</nlm:affiliation><wicri:noCountry code="no comma">From the Department of Radiology.</wicri:noCountry></affiliation></author><author><name sortKey="Durak, Gorkem" sort="Durak, Gorkem" uniqKey="Durak G" first="Gorkem" last="Durak">Gorkem Durak</name><affiliation><nlm:affiliation>From the Department of Radiology.</nlm:affiliation><wicri:noCountry code="no comma">From the Department of Radiology.</wicri:noCountry></affiliation></author><author><name sortKey="Ayyildiz, Hakan" sort="Ayyildiz, Hakan" uniqKey="Ayyildiz H" first="Hakan" last="Ayyildiz">Hakan Ayyildiz</name><affiliation><nlm:affiliation>From the Department of Radiology.</nlm:affiliation><wicri:noCountry code="no comma">From the Department of Radiology.</wicri:noCountry></affiliation></author><author><name sortKey="Comert, Rana Gunoz" sort="Comert, Rana Gunoz" uniqKey="Comert R" first="Rana Gunoz" last="Comert">Rana Gunoz Comert</name><affiliation><nlm:affiliation>From the Department of Radiology.</nlm:affiliation><wicri:noCountry code="no comma">From the Department of Radiology.</wicri:noCountry></affiliation></author><author><name sortKey="Medetalibeyoglu, Alpay" sort="Medetalibeyoglu, Alpay" uniqKey="Medetalibeyoglu A" first="Alpay" last="Medetalibeyoglu">Alpay Medetalibeyoglu</name><affiliation><nlm:affiliation>Department of Internal Medicine, Istanbul University School of Medicine, Capa, Istanbul.</nlm:affiliation><wicri:noCountry code="subField">Istanbul</wicri:noCountry></affiliation></author><author><name sortKey="Senkal, Naci" sort="Senkal, Naci" uniqKey="Senkal N" first="Naci" last="Senkal">Naci Senkal</name><affiliation><nlm:affiliation>Department of Internal Medicine, Istanbul University School of Medicine, Capa, Istanbul.</nlm:affiliation><wicri:noCountry code="subField">Istanbul</wicri:noCountry></affiliation></author><author><name sortKey="Uysal, Emre" sort="Uysal, Emre" uniqKey="Uysal E" first="Emre" last="Uysal">Emre Uysal</name><affiliation wicri:level="1"><nlm:affiliation>Department of Radiation Oncology, Okmeydani Training and Research Hospital, Sisli, Istanbul, Turkey.</nlm:affiliation><country xml:lang="fr">Turquie</country><wicri:regionArea>Department of Radiation Oncology, Okmeydani Training and Research Hospital, Sisli, Istanbul</wicri:regionArea><wicri:noRegion>Istanbul</wicri:noRegion></affiliation></author><author><name sortKey="Tunaci, Atadan" sort="Tunaci, Atadan" uniqKey="Tunaci A" first="Atadan" last="Tunaci">Atadan Tunaci</name><affiliation><nlm:affiliation>From the Department of Radiology.</nlm:affiliation><wicri:noCountry code="no comma">From the Department of Radiology.</wicri:noCountry></affiliation></author></analytic><series><title level="j">Journal of computer assisted tomography</title><idno type="eISSN">1532-3145</idno></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 (diagnosis)</term><term>Disease Progression (MeSH)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Lung (diagnostic imaging)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (diagnosis)</term><term>Radiography, Thoracic (methods)</term><term>Retrospective Studies (MeSH)</term><term>Tomography, X-Ray Computed (methods)</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>Infections à coronavirus (diagnostic)</term><term>Jeune adulte (MeSH)</term><term>Mâle (MeSH)</term><term>Pandémies (MeSH)</term><term>Pneumopathie virale (diagnostic)</term><term>Poumon (imagerie diagnostique)</term><term>Radiographie thoracique (méthodes)</term><term>Sujet âgé (MeSH)</term><term>Sujet âgé de 80 ans ou plus (MeSH)</term><term>Tomodensitométrie (méthodes)</term><term>Études rétrospectives (MeSH)</term><term>Évolution de la maladie (MeSH)</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Lung</term></keywords><keywords scheme="MESH" qualifier="imagerie diagnostique" xml:lang="fr"><term>Poumon</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Radiography, Thoracic</term><term>Tomography, X-Ray Computed</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Radiographie thoracique</term><term>Tomodensitométrie</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Aged, 80 and over</term><term>Betacoronavirus</term><term>Disease Progression</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Retrospective Studies</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>Jeune adulte</term><term>Mâle</term><term>Pandémies</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term><term>Études rétrospectives</term><term>Évolution de la maladie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b></p><p>To investigate the role of chest computed tomography (CT) examinations acquired early after initial onset of symptoms in predicting disease course in coronavirus disease 2019.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>Two hundred sixty-two patients were categorized according to intensive care unit (ICU) admission, survival, length of hospital stay, and reverse transcriptase-polymerase chain reaction positivity. Mean time interval between the onset of symptoms and CT scan was 5.2 ± 2.3 days. Groups were compared using Student t test, Mann-Whitney U, and Fisher exact tests.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>In the ICU (+) and died groups, crazy paving (64% and 57.1%), bronchus distortion (68% and 66.7%), bronchiectasis-bronchiolectasis (80% and 76.2%), air trapping (52% and 52.4%) and mediastinal-hilar lymph node enlargement (52% and 52.4%) were significantly more encountered (P < 0,05). These findings were correlated with longer hospital stays (P < 0.05). There were no differences between reverse transcriptase-polymerase chain reaction-positive and -negative patients except bronchiectasis-bronchiolectasis.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>Computed tomography examinations performed early after the onset of symptoms may help in predicting disease course and planning of resources, such as ICU beds.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32842068</PMID><DateCompleted><Year>2020</Year><Month>10</Month><Day>01</Day></DateCompleted><DateRevised><Year>2020</Year><Month>10</Month><Day>01</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1532-3145</ISSN><JournalIssue CitedMedium="Internet"><Volume>44</Volume><Issue>5</Issue><PubDate><MedlineDate>2020 Sep/Oct</MedlineDate></PubDate></JournalIssue><Title>Journal of computer assisted tomography</Title><ISOAbbreviation>J Comput Assist Tomogr</ISOAbbreviation></Journal><ArticleTitle>Covid-19: Correlation of Early Chest Computed Tomography Findings With the Course of Disease.</ArticleTitle><Pagination><MedlinePgn>633-639</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1097/RCT.0000000000001073</ELocationID><Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">To investigate the role of chest computed tomography (CT) examinations acquired early after initial onset of symptoms in predicting disease course in coronavirus disease 2019.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Two hundred sixty-two patients were categorized according to intensive care unit (ICU) admission, survival, length of hospital stay, and reverse transcriptase-polymerase chain reaction positivity. Mean time interval between the onset of symptoms and CT scan was 5.2 ± 2.3 days. Groups were compared using Student t test, Mann-Whitney U, and Fisher exact tests.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">In the ICU (+) and died groups, crazy paving (64% and 57.1%), bronchus distortion (68% and 66.7%), bronchiectasis-bronchiolectasis (80% and 76.2%), air trapping (52% and 52.4%) and mediastinal-hilar lymph node enlargement (52% and 52.4%) were significantly more encountered (P < 0,05). These findings were correlated with longer hospital stays (P < 0.05). There were no differences between reverse transcriptase-polymerase chain reaction-positive and -negative patients except bronchiectasis-bronchiolectasis.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Computed tomography examinations performed early after the onset of symptoms may help in predicting disease course and planning of resources, such as ICU beds.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Erturk</LastName><ForeName>Sukru Mehmet</ForeName><Initials>SM</Initials><AffiliationInfo><Affiliation>From the Department of Radiology.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Durak</LastName><ForeName>Gorkem</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>From the Department of Radiology.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ayyildiz</LastName><ForeName>Hakan</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>From the Department of Radiology.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Comert</LastName><ForeName>Rana Gunoz</ForeName><Initials>RG</Initials><AffiliationInfo><Affiliation>From the Department of Radiology.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Medetalibeyoglu</LastName><ForeName>Alpay</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department of Internal Medicine, Istanbul University School of Medicine, Capa, Istanbul.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Senkal</LastName><ForeName>Naci</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Department of Internal Medicine, Istanbul University School of Medicine, Capa, Istanbul.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Uysal</LastName><ForeName>Emre</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>Department of Radiation Oncology, Okmeydani Training and Research Hospital, Sisli, Istanbul, Turkey.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tunaci</LastName><ForeName>Atadan</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>From the Department of Radiology.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Comput Assist Tomogr</MedlineTA><NlmUniqueID>7703942</NlmUniqueID><ISSNLinking>0363-8715</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="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018450" MajorTopicYN="N">Disease Progression</DescriptorName></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><QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName></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="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013902" MajorTopicYN="N">Radiography, Thoracic</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014057" MajorTopicYN="N">Tomography, X-Ray Computed</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>8</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>10</Month><Day>2</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>8</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32842068</ArticleId><ArticleId IdType="doi">10.1097/RCT.0000000000001073</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Turquie</li></country></list><tree><noCountry><name sortKey="Ayyildiz, Hakan" sort="Ayyildiz, Hakan" uniqKey="Ayyildiz H" first="Hakan" last="Ayyildiz">Hakan Ayyildiz</name><name sortKey="Comert, Rana Gunoz" sort="Comert, Rana Gunoz" uniqKey="Comert R" first="Rana Gunoz" last="Comert">Rana Gunoz Comert</name><name sortKey="Durak, Gorkem" sort="Durak, Gorkem" uniqKey="Durak G" first="Gorkem" last="Durak">Gorkem Durak</name><name sortKey="Erturk, Sukru Mehmet" sort="Erturk, Sukru Mehmet" uniqKey="Erturk S" first="Sukru Mehmet" last="Erturk">Sukru Mehmet Erturk</name><name sortKey="Medetalibeyoglu, Alpay" sort="Medetalibeyoglu, Alpay" uniqKey="Medetalibeyoglu A" first="Alpay" last="Medetalibeyoglu">Alpay Medetalibeyoglu</name><name sortKey="Senkal, Naci" sort="Senkal, Naci" uniqKey="Senkal N" first="Naci" last="Senkal">Naci Senkal</name><name sortKey="Tunaci, Atadan" sort="Tunaci, Atadan" uniqKey="Tunaci A" first="Atadan" last="Tunaci">Atadan Tunaci</name></noCountry><country name="Turquie"><noRegion><name sortKey="Uysal, Emre" sort="Uysal, Emre" uniqKey="Uysal E" first="Emre" last="Uysal">Emre Uysal</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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