Chest CT in COVID-19 pneumonia: A review of current knowledge.
Identifieur interne : 000062 ( Main/Exploration ); précédent : 000061; suivant : 000063Chest CT in COVID-19 pneumonia: A review of current knowledge.
Auteurs : C. Jalaber [France] ; T. Lapotre [France] ; T. Morcet-Delattre [France] ; F. Ribet [France] ; S. Jouneau [France] ; M. Lederlin [France]Source :
- Diagnostic and interventional imaging [ 2211-5684 ]
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Betacoronavirus (MeSH), Embolie pulmonaire (imagerie diagnostique), Embolie pulmonaire (étiologie), Enfant (MeSH), Femelle (MeSH), Grossesse (MeSH), Hospitalisation (MeSH), Humains (MeSH), Indice de gravité de la maladie (MeSH), Infections à coronavirus (complications), Infections à coronavirus (imagerie diagnostique), Infections à coronavirus (épidémiologie), Intelligence artificielle (MeSH), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (complications), Pneumopathie virale (imagerie diagnostique), Pneumopathie virale (épidémiologie), Poumon (imagerie diagnostique), Produits de contraste (MeSH), Radiographie thoracique (méthodes), Sujet âgé (MeSH), Tomodensitométrie (MeSH), Triage (MeSH), Unités hospitalières (classification).
- MESH :
- imagerie diagnostique : Embolie pulmonaire, Infections à coronavirus, Pneumopathie virale, Poumon.
- méthodes : Radiographie thoracique.
- épidémiologie : Infections à coronavirus, Pneumopathie virale.
- étiologie : Embolie pulmonaire.
- Adulte, Adulte d'âge moyen, Betacoronavirus, Enfant, Femelle, Grossesse, Hospitalisation, Humains, Indice de gravité de la maladie, Infections à coronavirus, Intelligence artificielle, Mâle, Pandémies, Pneumopathie virale, Produits de contraste, Sujet âgé, Tomodensitométrie, Triage, Unités hospitalières.
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Artificial Intelligence (MeSH), Betacoronavirus (MeSH), Child (MeSH), Contrast Media (MeSH), Coronavirus Infections (complications), Coronavirus Infections (diagnostic imaging), Coronavirus Infections (epidemiology), Female (MeSH), Hospital Units (classification), Hospitalization (MeSH), Humans (MeSH), Lung (diagnostic imaging), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (complications), Pneumonia, Viral (diagnostic imaging), Pneumonia, Viral (epidemiology), Pregnancy (MeSH), Pulmonary Embolism (diagnostic imaging), Pulmonary Embolism (etiology), Radiography, Thoracic (methods), Severity of Illness Index (MeSH), Tomography, X-Ray Computed (MeSH), Triage (MeSH).
- MESH :
- chemical : Contrast Media.
- classification : Hospital Units.
- complications : Coronavirus Infections, Pneumonia, Viral.
- diagnostic imaging : Coronavirus Infections, Lung, Pneumonia, Viral, Pulmonary Embolism.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- etiology : Pulmonary Embolism.
- methods : Radiography, Thoracic.
- Adult, Aged, Artificial Intelligence, Betacoronavirus, Child, Female, Hospitalization, Humans, Male, Middle Aged, Pandemics, Pregnancy, Severity of Illness Index, Tomography, X-Ray Computed, Triage.
Abstract
The current COVID-19 pandemic has highlighted the essential role of chest computed tomography (CT) examination in patient triage in the emergency departments, allowing them to be referred to "COVID" or "non-COVID" wards. Initial chest CT examination must be performed without intravenous administration of iodinated contrast material, but contrast material administration is required when pulmonary embolism is suspected, which seems to be frequent in severe forms of the disease. Typical CT features consist of bilateral ground-glass opacities with peripheral, posterior and basal predominance. Lung disease extent on CT correlates with clinical severity. Artificial intelligence could assist radiologists for diagnosis and prognosis evaluation.
DOI: 10.1016/j.diii.2020.06.001
PubMed: 32571748
PubMed Central: PMC7287482
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Chest CT in COVID-19 pneumonia: A review of current knowledge.</title><author><name sortKey="Jalaber, C" sort="Jalaber, C" uniqKey="Jalaber C" first="C" last="Jalaber">C. Jalaber</name><affiliation wicri:level="3"><nlm:affiliation>CHU Saint-Étienne, Department of Radiology, 42270 Saint-Priest-en-Jarez, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>CHU Saint-Étienne, Department of Radiology, 42270 Saint-Priest-en-Jarez</wicri:regionArea><placeName><region type="region" nuts="2">Auvergne-Rhône-Alpes</region><region type="old region" nuts="2">Rhône-Alpes</region><settlement type="city">Saint-Priest-en-Jarez</settlement></placeName></affiliation></author><author><name sortKey="Lapotre, T" sort="Lapotre, T" uniqKey="Lapotre T" first="T" last="Lapotre">T. Lapotre</name><affiliation wicri:level="3"><nlm:affiliation>CHU de Rennes, Department of Radiology, 35033 Rennes, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>CHU de Rennes, Department of Radiology, 35033 Rennes</wicri:regionArea><placeName><region type="region" nuts="2">Région Bretagne</region><settlement type="city">Rennes</settlement></placeName></affiliation></author><author><name sortKey="Morcet Delattre, T" sort="Morcet Delattre, T" uniqKey="Morcet Delattre T" first="T" last="Morcet-Delattre">T. Morcet-Delattre</name><affiliation wicri:level="3"><nlm:affiliation>CHU de Rennes, Department of Radiology, 35033 Rennes, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>CHU de Rennes, Department of Radiology, 35033 Rennes</wicri:regionArea><placeName><region type="region" nuts="2">Région Bretagne</region><settlement type="city">Rennes</settlement></placeName></affiliation></author><author><name sortKey="Ribet, F" sort="Ribet, F" uniqKey="Ribet F" first="F" last="Ribet">F. Ribet</name><affiliation wicri:level="3"><nlm:affiliation>CHU de Rennes, Department of Radiology, 35033 Rennes, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>CHU de Rennes, Department of Radiology, 35033 Rennes</wicri:regionArea><placeName><region type="region" nuts="2">Région Bretagne</region><settlement type="city">Rennes</settlement></placeName></affiliation></author><author><name sortKey="Jouneau, S" sort="Jouneau, S" uniqKey="Jouneau S" first="S" last="Jouneau">S. Jouneau</name><affiliation wicri:level="3"><nlm:affiliation>CHU de Rennes, Department of Respiratory Medicine, 35033 Rennes, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>CHU de Rennes, Department of Respiratory Medicine, 35033 Rennes</wicri:regionArea><placeName><region type="region" nuts="2">Région Bretagne</region><settlement type="city">Rennes</settlement></placeName></affiliation></author><author><name sortKey="Lederlin, M" sort="Lederlin, M" uniqKey="Lederlin M" first="M" last="Lederlin">M. Lederlin</name><affiliation wicri:level="3"><nlm:affiliation>CHU de Rennes, Department of Radiology, 35033 Rennes, France; LTSI, INSERM, UMR 1099, Université de Rennes, 35000 Rennes, France. Electronic address: mathieu.lederlin@chu-rennes.fr.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>CHU de Rennes, Department of Radiology, 35033 Rennes, France; LTSI, INSERM, UMR 1099, Université de Rennes, 35000 Rennes</wicri:regionArea><placeName><region type="region" nuts="2">Région Bretagne</region><settlement type="city">Rennes</settlement></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020 Jul - Aug</date><idno type="RBID">pubmed:32571748</idno><idno type="pmid">32571748</idno><idno type="doi">10.1016/j.diii.2020.06.001</idno><idno type="pmc">PMC7287482</idno><idno type="wicri:Area/Main/Corpus">000C51</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000C51</idno><idno type="wicri:Area/Main/Curation">000C51</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000C51</idno><idno type="wicri:Area/Main/Exploration">000C51</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Chest CT in COVID-19 pneumonia: A review of current knowledge.</title><author><name sortKey="Jalaber, C" sort="Jalaber, C" uniqKey="Jalaber C" first="C" last="Jalaber">C. Jalaber</name><affiliation wicri:level="3"><nlm:affiliation>CHU Saint-Étienne, Department of Radiology, 42270 Saint-Priest-en-Jarez, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>CHU Saint-Étienne, Department of Radiology, 42270 Saint-Priest-en-Jarez</wicri:regionArea><placeName><region type="region" nuts="2">Auvergne-Rhône-Alpes</region><region type="old region" nuts="2">Rhône-Alpes</region><settlement type="city">Saint-Priest-en-Jarez</settlement></placeName></affiliation></author><author><name sortKey="Lapotre, T" sort="Lapotre, T" uniqKey="Lapotre T" first="T" last="Lapotre">T. Lapotre</name><affiliation wicri:level="3"><nlm:affiliation>CHU de Rennes, Department of Radiology, 35033 Rennes, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>CHU de Rennes, Department of Radiology, 35033 Rennes</wicri:regionArea><placeName><region type="region" nuts="2">Région Bretagne</region><settlement type="city">Rennes</settlement></placeName></affiliation></author><author><name sortKey="Morcet Delattre, T" sort="Morcet Delattre, T" uniqKey="Morcet Delattre T" first="T" last="Morcet-Delattre">T. Morcet-Delattre</name><affiliation wicri:level="3"><nlm:affiliation>CHU de Rennes, Department of Radiology, 35033 Rennes, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>CHU de Rennes, Department of Radiology, 35033 Rennes</wicri:regionArea><placeName><region type="region" nuts="2">Région Bretagne</region><settlement type="city">Rennes</settlement></placeName></affiliation></author><author><name sortKey="Ribet, F" sort="Ribet, F" uniqKey="Ribet F" first="F" last="Ribet">F. Ribet</name><affiliation wicri:level="3"><nlm:affiliation>CHU de Rennes, Department of Radiology, 35033 Rennes, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>CHU de Rennes, Department of Radiology, 35033 Rennes</wicri:regionArea><placeName><region type="region" nuts="2">Région Bretagne</region><settlement type="city">Rennes</settlement></placeName></affiliation></author><author><name sortKey="Jouneau, S" sort="Jouneau, S" uniqKey="Jouneau S" first="S" last="Jouneau">S. Jouneau</name><affiliation wicri:level="3"><nlm:affiliation>CHU de Rennes, Department of Respiratory Medicine, 35033 Rennes, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>CHU de Rennes, Department of Respiratory Medicine, 35033 Rennes</wicri:regionArea><placeName><region type="region" nuts="2">Région Bretagne</region><settlement type="city">Rennes</settlement></placeName></affiliation></author><author><name sortKey="Lederlin, M" sort="Lederlin, M" uniqKey="Lederlin M" first="M" last="Lederlin">M. Lederlin</name><affiliation wicri:level="3"><nlm:affiliation>CHU de Rennes, Department of Radiology, 35033 Rennes, France; LTSI, INSERM, UMR 1099, Université de Rennes, 35000 Rennes, France. Electronic address: mathieu.lederlin@chu-rennes.fr.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>CHU de Rennes, Department of Radiology, 35033 Rennes, France; LTSI, INSERM, UMR 1099, Université de Rennes, 35000 Rennes</wicri:regionArea><placeName><region type="region" nuts="2">Région Bretagne</region><settlement type="city">Rennes</settlement></placeName></affiliation></author></analytic><series><title level="j">Diagnostic and interventional imaging</title><idno type="eISSN">2211-5684</idno></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Artificial Intelligence (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>Child (MeSH)</term><term>Contrast Media (MeSH)</term><term>Coronavirus Infections (complications)</term><term>Coronavirus Infections (diagnostic imaging)</term><term>Coronavirus Infections (epidemiology)</term><term>Female (MeSH)</term><term>Hospital Units (classification)</term><term>Hospitalization (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 (complications)</term><term>Pneumonia, Viral (diagnostic imaging)</term><term>Pneumonia, Viral (epidemiology)</term><term>Pregnancy (MeSH)</term><term>Pulmonary Embolism (diagnostic imaging)</term><term>Pulmonary Embolism (etiology)</term><term>Radiography, Thoracic (methods)</term><term>Severity of Illness Index (MeSH)</term><term>Tomography, X-Ray Computed (MeSH)</term><term>Triage (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>Embolie pulmonaire (imagerie diagnostique)</term><term>Embolie pulmonaire (étiologie)</term><term>Enfant (MeSH)</term><term>Femelle (MeSH)</term><term>Grossesse (MeSH)</term><term>Hospitalisation (MeSH)</term><term>Humains (MeSH)</term><term>Indice de gravité de la maladie (MeSH)</term><term>Infections à coronavirus (complications)</term><term>Infections à coronavirus (imagerie diagnostique)</term><term>Infections à coronavirus (épidémiologie)</term><term>Intelligence artificielle (MeSH)</term><term>Mâle (MeSH)</term><term>Pandémies (MeSH)</term><term>Pneumopathie virale (complications)</term><term>Pneumopathie virale (imagerie diagnostique)</term><term>Pneumopathie virale (épidémiologie)</term><term>Poumon (imagerie diagnostique)</term><term>Produits de contraste (MeSH)</term><term>Radiographie thoracique (méthodes)</term><term>Sujet âgé (MeSH)</term><term>Tomodensitométrie (MeSH)</term><term>Triage (MeSH)</term><term>Unités hospitalières (classification)</term></keywords><keywords scheme="MESH" type="chemical" xml:lang="en"><term>Contrast Media</term></keywords><keywords scheme="MESH" qualifier="classification" xml:lang="en"><term>Hospital Units</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Coronavirus Infections</term><term>Lung</term><term>Pneumonia, Viral</term><term>Pulmonary Embolism</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Pulmonary Embolism</term></keywords><keywords scheme="MESH" qualifier="imagerie diagnostique" xml:lang="fr"><term>Embolie pulmonaire</term><term>Infections à coronavirus</term><term>Pneumopathie virale</term><term>Poumon</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Radiography, Thoracic</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Radiographie thoracique</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" qualifier="étiologie" xml:lang="fr"><term>Embolie pulmonaire</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Artificial Intelligence</term><term>Betacoronavirus</term><term>Child</term><term>Female</term><term>Hospitalization</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Pregnancy</term><term>Severity of Illness Index</term><term>Tomography, X-Ray Computed</term><term>Triage</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Betacoronavirus</term><term>Enfant</term><term>Femelle</term><term>Grossesse</term><term>Hospitalisation</term><term>Humains</term><term>Indice de gravité de la maladie</term><term>Infections à coronavirus</term><term>Intelligence artificielle</term><term>Mâle</term><term>Pandémies</term><term>Pneumopathie virale</term><term>Produits de contraste</term><term>Sujet âgé</term><term>Tomodensitométrie</term><term>Triage</term><term>Unités hospitalières</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The current COVID-19 pandemic has highlighted the essential role of chest computed tomography (CT) examination in patient triage in the emergency departments, allowing them to be referred to "COVID" or "non-COVID" wards. Initial chest CT examination must be performed without intravenous administration of iodinated contrast material, but contrast material administration is required when pulmonary embolism is suspected, which seems to be frequent in severe forms of the disease. Typical CT features consist of bilateral ground-glass opacities with peripheral, posterior and basal predominance. Lung disease extent on CT correlates with clinical severity. Artificial intelligence could assist radiologists for diagnosis and prognosis evaluation.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32571748</PMID><DateCompleted><Year>2020</Year><Month>07</Month><Day>08</Day></DateCompleted><DateRevised><Year>2020</Year><Month>07</Month><Day>08</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">2211-5684</ISSN><JournalIssue CitedMedium="Internet"><Volume>101</Volume><Issue>7-8</Issue><PubDate><MedlineDate>2020 Jul - Aug</MedlineDate></PubDate></JournalIssue><Title>Diagnostic and interventional imaging</Title><ISOAbbreviation>Diagn Interv Imaging</ISOAbbreviation></Journal><ArticleTitle>Chest CT in COVID-19 pneumonia: A review of current knowledge.</ArticleTitle><Pagination><MedlinePgn>431-437</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S2211-5684(20)30158-3</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.diii.2020.06.001</ELocationID><Abstract><AbstractText>The current COVID-19 pandemic has highlighted the essential role of chest computed tomography (CT) examination in patient triage in the emergency departments, allowing them to be referred to "COVID" or "non-COVID" wards. Initial chest CT examination must be performed without intravenous administration of iodinated contrast material, but contrast material administration is required when pulmonary embolism is suspected, which seems to be frequent in severe forms of the disease. Typical CT features consist of bilateral ground-glass opacities with peripheral, posterior and basal predominance. Lung disease extent on CT correlates with clinical severity. Artificial intelligence could assist radiologists for diagnosis and prognosis evaluation.</AbstractText><CopyrightInformation>Copyright © 2020 Société française de radiologie. Published by Elsevier Masson SAS. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Jalaber</LastName><ForeName>C</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>CHU Saint-Étienne, Department of Radiology, 42270 Saint-Priest-en-Jarez, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lapotre</LastName><ForeName>T</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>CHU de Rennes, Department of Radiology, 35033 Rennes, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Morcet-Delattre</LastName><ForeName>T</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>CHU de Rennes, Department of Radiology, 35033 Rennes, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ribet</LastName><ForeName>F</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>CHU de Rennes, Department of Radiology, 35033 Rennes, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jouneau</LastName><ForeName>S</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>CHU de Rennes, Department of Respiratory Medicine, 35033 Rennes, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lederlin</LastName><ForeName>M</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>CHU de Rennes, Department of Radiology, 35033 Rennes, France; LTSI, INSERM, UMR 1099, Université de Rennes, 35000 Rennes, France. Electronic address: mathieu.lederlin@chu-rennes.fr.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D016454">Review</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>06</Month><Day>11</Day></ArticleDate></Article><MedlineJournalInfo><Country>France</Country><MedlineTA>Diagn Interv Imaging</MedlineTA><NlmUniqueID>101568499</NlmUniqueID><ISSNLinking>2211-5684</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D003287">Contrast Media</NameOfSubstance></Chemical></ChemicalList><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="D001185" MajorTopicYN="N">Artificial Intelligence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="Y">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003287" MajorTopicYN="N">Contrast Media</DescriptorName></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><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006757" MajorTopicYN="N">Hospital Units</DescriptorName><QualifierName UI="Q000145" MajorTopicYN="N">classification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006760" MajorTopicYN="N">Hospitalization</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008168" MajorTopicYN="N">Lung</DescriptorName><QualifierName UI="Q000000981" MajorTopicYN="N">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="Y">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><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011247" MajorTopicYN="N">Pregnancy</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011655" MajorTopicYN="N">Pulmonary Embolism</DescriptorName><QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName><QualifierName UI="Q000209" MajorTopicYN="N">etiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013902" MajorTopicYN="N">Radiography, Thoracic</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012720" MajorTopicYN="N">Severity of Illness Index</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014057" MajorTopicYN="Y">Tomography, X-Ray Computed</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014218" MajorTopicYN="N">Triage</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">COVID-19</Keyword><Keyword MajorTopicYN="N">Pulmonary embolism</Keyword><Keyword MajorTopicYN="N">Severe acute respiratory syndrome coronavirus 2</Keyword><Keyword MajorTopicYN="N">Tomography</Keyword><Keyword MajorTopicYN="N">X-ray computed</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>05</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>06</Month><Day>08</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>06</Month><Day>09</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>6</Month><Day>24</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>7</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>6</Month><Day>24</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32571748</ArticleId><ArticleId IdType="pii">S2211-5684(20)30158-3</ArticleId><ArticleId IdType="doi">10.1016/j.diii.2020.06.001</ArticleId><ArticleId IdType="pmc">PMC7287482</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>France</li></country><region><li>Auvergne-Rhône-Alpes</li><li>Rhône-Alpes</li><li>Région Bretagne</li></region><settlement><li>Rennes</li><li>Saint-Priest-en-Jarez</li></settlement></list><tree><country name="France"><region name="Auvergne-Rhône-Alpes"><name sortKey="Jalaber, C" sort="Jalaber, C" uniqKey="Jalaber C" first="C" last="Jalaber">C. Jalaber</name></region><name sortKey="Jouneau, S" sort="Jouneau, S" uniqKey="Jouneau S" first="S" last="Jouneau">S. Jouneau</name><name sortKey="Lapotre, T" sort="Lapotre, T" uniqKey="Lapotre T" first="T" last="Lapotre">T. Lapotre</name><name sortKey="Lederlin, M" sort="Lederlin, M" uniqKey="Lederlin M" first="M" last="Lederlin">M. Lederlin</name><name sortKey="Morcet Delattre, T" sort="Morcet Delattre, T" uniqKey="Morcet Delattre T" first="T" last="Morcet-Delattre">T. Morcet-Delattre</name><name sortKey="Ribet, F" sort="Ribet, F" uniqKey="Ribet F" first="F" last="Ribet">F. Ribet</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidFranceV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000062 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000062 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= CovidFranceV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:32571748
|texte= Chest CT in COVID-19 pneumonia: A review of current knowledge.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:32571748" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a CovidFranceV1
| This area was generated with Dilib version V0.6.37. |  |