Serveur d'exploration SRAS

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

CT features of SARS-CoV-2 pneumonia according to clinical presentation: a retrospective analysis of 120 consecutive patients from Wuhan city

Identifieur interne : 000887 ( 2020/Analysis ); précédent : 000886; suivant : 000888

CT features of SARS-CoV-2 pneumonia according to clinical presentation: a retrospective analysis of 120 consecutive patients from Wuhan city

Auteurs : Rui Zhang [République populaire de Chine] ; Huangqing Ouyang [République populaire de Chine] ; Lingli Fu [République populaire de Chine] ; Shijie Wang [République populaire de Chine] ; Jianglong Han [République populaire de Chine] ; Kejie Huang [République populaire de Chine] ; Mingfang Jia [République populaire de Chine] ; Qibin Song [République populaire de Chine] ; Zhenming Fu [République populaire de Chine]

Source :

RBID : PMC:7150608

Abstract

Objectives

To characterize the chest computed tomography (CT) findings of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) according to clinical severity. We compared the CT features of common cases and severe cases, symptomatic patients and asymptomatic patients, and febrile and afebrile patients.

Methods

This was a retrospective analysis of the clinical and thoracic CT features of 120 consecutive patients with confirmed SARS-CoV-2 pneumonia admitted to a tertiary university hospital between January 10 and February 10, 2020, in Wuhan city, China.

Results

On admission, the patients generally complained of fever, cough, shortness of breath, and myalgia or fatigue, with diarrhea often present in severe cases. Severe patients were 20 years older on average and had comorbidities and an elevated lactate dehydrogenase (LDH) level. There were no differences in the CT findings between asymptomatic and symptomatic common type patients or between afebrile and febrile patients, defined according to Chinese National Health Commission guidelines.

Conclusions

The clinical and CT features at admission may enable clinicians to promptly evaluate the prognosis of patients with SARS-CoV-2 pneumonia. Clinicians should be aware that clinically silent cases may present with CT features similar to those of symptomatic common patients.

Key Points

• The clinical features and predominant patterns of abnormalities on CT for asymptomatic, typic common, and severe cases were summarized. These findings may help clinicians to identify severe patients quickly at admission.

• Clinicians should be cautious that CT findings of afebrile/asymptomatic patients are not better than the findings of other types of patients. These patients should also be quarantined.

• The use of chest CT as the main screening method in epidemic areas is recommended.

Electronic supplementary material

The online version of this article (10.1007/s00330-020-06854-1) contains supplementary material, which is available to authorized users.


Url:
DOI: 10.1007/s00330-020-06854-1
PubMed: NONE
PubMed Central: 7150608


Affiliations:


Links toward previous steps (curation, corpus...)


Links to Exploration step

PMC:7150608

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">CT features of SARS-CoV-2 pneumonia according to clinical presentation: a retrospective analysis of 120 consecutive patients from Wuhan city</title>
<author>
<name sortKey="Zhang, Rui" sort="Zhang, Rui" uniqKey="Zhang R" first="Rui" last="Zhang">Rui Zhang</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.412632.0</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 1758 2270</institution-id>
<institution>Cancer Center,</institution>
<institution>Renmin Hospital of Wuhan University,</institution>
</institution-wrap>
Wuhan, 430060 China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Wuhan</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Ouyang, Huangqing" sort="Ouyang, Huangqing" uniqKey="Ouyang H" first="Huangqing" last="Ouyang">Huangqing Ouyang</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff2">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.412632.0</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 1758 2270</institution-id>
<institution>Department of Radiology,</institution>
<institution>Renmin Hospital of Wuhan University,</institution>
</institution-wrap>
Wuhan, 430060 China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Wuhan</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Fu, Lingli" sort="Fu, Lingli" uniqKey="Fu L" first="Lingli" last="Fu">Lingli Fu</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.412632.0</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 1758 2270</institution-id>
<institution>Cancer Center,</institution>
<institution>Renmin Hospital of Wuhan University,</institution>
</institution-wrap>
Wuhan, 430060 China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Wuhan</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Wang, Shijie" sort="Wang, Shijie" uniqKey="Wang S" first="Shijie" last="Wang">Shijie Wang</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.412632.0</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 1758 2270</institution-id>
<institution>Cancer Center,</institution>
<institution>Renmin Hospital of Wuhan University,</institution>
</institution-wrap>
Wuhan, 430060 China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Wuhan</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Han, Jianglong" sort="Han, Jianglong" uniqKey="Han J" first="Jianglong" last="Han">Jianglong Han</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.412632.0</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 1758 2270</institution-id>
<institution>Cancer Center,</institution>
<institution>Renmin Hospital of Wuhan University,</institution>
</institution-wrap>
Wuhan, 430060 China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Wuhan</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Huang, Kejie" sort="Huang, Kejie" uniqKey="Huang K" first="Kejie" last="Huang">Kejie Huang</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.412632.0</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 1758 2270</institution-id>
<institution>Cancer Center,</institution>
<institution>Renmin Hospital of Wuhan University,</institution>
</institution-wrap>
Wuhan, 430060 China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Wuhan</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Jia, Mingfang" sort="Jia, Mingfang" uniqKey="Jia M" first="Mingfang" last="Jia">Mingfang Jia</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff3">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.412632.0</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 1758 2270</institution-id>
<institution>Department of Health Management,</institution>
<institution>Renmin Hospital of Wuhan University,</institution>
</institution-wrap>
Wuhan, 430060 China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Wuhan</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Song, Qibin" sort="Song, Qibin" uniqKey="Song Q" first="Qibin" last="Song">Qibin Song</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.412632.0</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 1758 2270</institution-id>
<institution>Cancer Center,</institution>
<institution>Renmin Hospital of Wuhan University,</institution>
</institution-wrap>
Wuhan, 430060 China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Wuhan</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Fu, Zhenming" sort="Fu, Zhenming" uniqKey="Fu Z" first="Zhenming" last="Fu">Zhenming Fu</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.412632.0</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 1758 2270</institution-id>
<institution>Cancer Center,</institution>
<institution>Renmin Hospital of Wuhan University,</institution>
</institution-wrap>
Wuhan, 430060 China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Wuhan</wicri:regionArea>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PMC</idno>
<idno type="pmc">7150608</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7150608</idno>
<idno type="RBID">PMC:7150608</idno>
<idno type="doi">10.1007/s00330-020-06854-1</idno>
<idno type="pmid">NONE</idno>
<date when="2020">2020</date>
<idno type="wicri:Area/Pmc/Corpus">000375</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000375</idno>
<idno type="wicri:Area/Pmc/Curation">000375</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000375</idno>
<idno type="wicri:Area/Pmc/Checkpoint">000356</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000356</idno>
<idno type="wicri:Area/Ncbi/Merge">003D36</idno>
<idno type="wicri:Area/Ncbi/Curation">003D36</idno>
<idno type="wicri:Area/Ncbi/Checkpoint">003D36</idno>
<idno type="wicri:doubleKey">0938-7994:2020:Zhang R:ct:features:of</idno>
<idno type="wicri:Area/Main/Merge">000887</idno>
<idno type="wicri:Area/Main/Curation">000887</idno>
<idno type="wicri:Area/Main/Exploration">000887</idno>
<idno type="wicri:Area/2020/Extraction">000887</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a" type="main">CT features of SARS-CoV-2 pneumonia according to clinical presentation: a retrospective analysis of 120 consecutive patients from Wuhan city</title>
<author>
<name sortKey="Zhang, Rui" sort="Zhang, Rui" uniqKey="Zhang R" first="Rui" last="Zhang">Rui Zhang</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.412632.0</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 1758 2270</institution-id>
<institution>Cancer Center,</institution>
<institution>Renmin Hospital of Wuhan University,</institution>
</institution-wrap>
Wuhan, 430060 China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Wuhan</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Ouyang, Huangqing" sort="Ouyang, Huangqing" uniqKey="Ouyang H" first="Huangqing" last="Ouyang">Huangqing Ouyang</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff2">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.412632.0</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 1758 2270</institution-id>
<institution>Department of Radiology,</institution>
<institution>Renmin Hospital of Wuhan University,</institution>
</institution-wrap>
Wuhan, 430060 China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Wuhan</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Fu, Lingli" sort="Fu, Lingli" uniqKey="Fu L" first="Lingli" last="Fu">Lingli Fu</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.412632.0</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 1758 2270</institution-id>
<institution>Cancer Center,</institution>
<institution>Renmin Hospital of Wuhan University,</institution>
</institution-wrap>
Wuhan, 430060 China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Wuhan</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Wang, Shijie" sort="Wang, Shijie" uniqKey="Wang S" first="Shijie" last="Wang">Shijie Wang</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.412632.0</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 1758 2270</institution-id>
<institution>Cancer Center,</institution>
<institution>Renmin Hospital of Wuhan University,</institution>
</institution-wrap>
Wuhan, 430060 China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Wuhan</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Han, Jianglong" sort="Han, Jianglong" uniqKey="Han J" first="Jianglong" last="Han">Jianglong Han</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.412632.0</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 1758 2270</institution-id>
<institution>Cancer Center,</institution>
<institution>Renmin Hospital of Wuhan University,</institution>
</institution-wrap>
Wuhan, 430060 China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Wuhan</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Huang, Kejie" sort="Huang, Kejie" uniqKey="Huang K" first="Kejie" last="Huang">Kejie Huang</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.412632.0</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 1758 2270</institution-id>
<institution>Cancer Center,</institution>
<institution>Renmin Hospital of Wuhan University,</institution>
</institution-wrap>
Wuhan, 430060 China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Wuhan</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Jia, Mingfang" sort="Jia, Mingfang" uniqKey="Jia M" first="Mingfang" last="Jia">Mingfang Jia</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff3">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.412632.0</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 1758 2270</institution-id>
<institution>Department of Health Management,</institution>
<institution>Renmin Hospital of Wuhan University,</institution>
</institution-wrap>
Wuhan, 430060 China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Wuhan</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Song, Qibin" sort="Song, Qibin" uniqKey="Song Q" first="Qibin" last="Song">Qibin Song</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.412632.0</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 1758 2270</institution-id>
<institution>Cancer Center,</institution>
<institution>Renmin Hospital of Wuhan University,</institution>
</institution-wrap>
Wuhan, 430060 China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Wuhan</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Fu, Zhenming" sort="Fu, Zhenming" uniqKey="Fu Z" first="Zhenming" last="Fu">Zhenming Fu</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="GRID">grid.412632.0</institution-id>
<institution-id institution-id-type="ISNI">0000 0004 1758 2270</institution-id>
<institution>Cancer Center,</institution>
<institution>Renmin Hospital of Wuhan University,</institution>
</institution-wrap>
Wuhan, 430060 China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Wuhan</wicri:regionArea>
</affiliation>
</author>
</analytic>
<series>
<title level="j">European Radiology</title>
<idno type="ISSN">0938-7994</idno>
<idno type="eISSN">1432-1084</idno>
<imprint>
<date when="2020">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<sec>
<title>Objectives</title>
<p id="Par1">To characterize the chest computed tomography (CT) findings of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) according to clinical severity. We compared the CT features of common cases and severe cases, symptomatic patients and asymptomatic patients, and febrile and afebrile patients.</p>
</sec>
<sec>
<title>Methods</title>
<p id="Par2">This was a retrospective analysis of the clinical and thoracic CT features of 120 consecutive patients with confirmed SARS-CoV-2 pneumonia admitted to a tertiary university hospital between January 10 and February 10, 2020, in Wuhan city, China.</p>
</sec>
<sec>
<title>Results</title>
<p id="Par3">On admission, the patients generally complained of fever, cough, shortness of breath, and myalgia or fatigue, with diarrhea often present in severe cases. Severe patients were 20 years older on average and had comorbidities and an elevated lactate dehydrogenase (LDH) level. There were no differences in the CT findings between asymptomatic and symptomatic common type patients or between afebrile and febrile patients, defined according to Chinese National Health Commission guidelines.</p>
</sec>
<sec>
<title>Conclusions</title>
<p id="Par4">The clinical and CT features at admission may enable clinicians to promptly evaluate the prognosis of patients with SARS-CoV-2 pneumonia. Clinicians should be aware that clinically silent cases may present with CT features similar to those of symptomatic common patients.</p>
</sec>
<sec>
<title>Key Points</title>
<p id="Par5">
<italic>• The clinical features and predominant patterns of abnormalities on CT for asymptomatic, typic common, and severe cases were summarized. These findings may help clinicians to identify severe patients quickly at admission.</italic>
</p>
<p id="Par6">
<italic>• Clinicians should be cautious that CT findings of afebrile/asymptomatic patients are not better than the findings of other types of patients. These patients should also be quarantined.</italic>
</p>
<p id="Par7">
<italic>• The use of chest CT as the main screening method in epidemic areas is recommended.</italic>
</p>
</sec>
<sec>
<title>Electronic supplementary material</title>
<p>The online version of this article (10.1007/s00330-020-06854-1) contains supplementary material, which is available to authorized users.</p>
</sec>
</div>
</front>
<back>
<div1 type="bibliography">
<listBibl>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Zhou, P" uniqKey="Zhou P">P Zhou</name>
</author>
<author>
<name sortKey="Yang, Xl" uniqKey="Yang X">XL Yang</name>
</author>
<author>
<name sortKey="Wang, Xg" uniqKey="Wang X">XG Wang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Wong, Kt" uniqKey="Wong K">KT Wong</name>
</author>
<author>
<name sortKey="Antonio, Ge" uniqKey="Antonio G">GE Antonio</name>
</author>
<author>
<name sortKey="Hui, Ds" uniqKey="Hui D">DS Hui</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Paul, Ns" uniqKey="Paul N">NS Paul</name>
</author>
<author>
<name sortKey="Roberts, H" uniqKey="Roberts H">H Roberts</name>
</author>
<author>
<name sortKey="Butany, J" uniqKey="Butany J">J Butany</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Assiri, A" uniqKey="Assiri A">A Assiri</name>
</author>
<author>
<name sortKey="Al Tawfiq, Ja" uniqKey="Al Tawfiq J">JA Al-Tawfiq</name>
</author>
<author>
<name sortKey="Al Rabeeah, Aa" uniqKey="Al Rabeeah A">AA Al-Rabeeah</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Chen, N" uniqKey="Chen N">N Chen</name>
</author>
<author>
<name sortKey="Zhou, M" uniqKey="Zhou M">M Zhou</name>
</author>
<author>
<name sortKey="Dong, X" uniqKey="Dong X">X Dong</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Franquet, T" uniqKey="Franquet T">T Franquet</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Koo, Hj" uniqKey="Koo H">HJ Koo</name>
</author>
<author>
<name sortKey="Lim, S" uniqKey="Lim S">S Lim</name>
</author>
<author>
<name sortKey="Choe, J" uniqKey="Choe J">J Choe</name>
</author>
<author>
<name sortKey="Choi, Sh" uniqKey="Choi S">SH Choi</name>
</author>
<author>
<name sortKey="Sung, H" uniqKey="Sung H">H Sung</name>
</author>
<author>
<name sortKey="Do, Kh" uniqKey="Do K">KH Do</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<affiliations>
<list>
<country>
<li>République populaire de Chine</li>
</country>
</list>
<tree>
<country name="République populaire de Chine">
<noRegion>
<name sortKey="Zhang, Rui" sort="Zhang, Rui" uniqKey="Zhang R" first="Rui" last="Zhang">Rui Zhang</name>
</noRegion>
<name sortKey="Fu, Lingli" sort="Fu, Lingli" uniqKey="Fu L" first="Lingli" last="Fu">Lingli Fu</name>
<name sortKey="Fu, Zhenming" sort="Fu, Zhenming" uniqKey="Fu Z" first="Zhenming" last="Fu">Zhenming Fu</name>
<name sortKey="Han, Jianglong" sort="Han, Jianglong" uniqKey="Han J" first="Jianglong" last="Han">Jianglong Han</name>
<name sortKey="Huang, Kejie" sort="Huang, Kejie" uniqKey="Huang K" first="Kejie" last="Huang">Kejie Huang</name>
<name sortKey="Jia, Mingfang" sort="Jia, Mingfang" uniqKey="Jia M" first="Mingfang" last="Jia">Mingfang Jia</name>
<name sortKey="Ouyang, Huangqing" sort="Ouyang, Huangqing" uniqKey="Ouyang H" first="Huangqing" last="Ouyang">Huangqing Ouyang</name>
<name sortKey="Song, Qibin" sort="Song, Qibin" uniqKey="Song Q" first="Qibin" last="Song">Qibin Song</name>
<name sortKey="Wang, Shijie" sort="Wang, Shijie" uniqKey="Wang S" first="Shijie" last="Wang">Shijie Wang</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/SrasV1/Data/2020/Analysis
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000887 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/2020/Analysis/biblio.hfd -nk 000887 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    SrasV1
   |flux=    2020
   |étape=   Analysis
   |type=    RBID
   |clé=     PMC:7150608
   |texte=   CT features of SARS-CoV-2 pneumonia according to clinical presentation: a retrospective analysis of 120 consecutive patients from Wuhan city
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/2020/Analysis/RBID.i   -Sk "pubmed:NONE" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/2020/Analysis/biblio.hfd   \
       | NlmPubMed2Wicri -a SrasV1 

Wicri

This area was generated with Dilib version V0.6.33.
Data generation: Tue Apr 28 14:49:16 2020. Site generation: Sat Mar 27 22:06:49 2021