CovidV1, PubMed, Curation, bibRecord, 000478

[Dynamic changes of chest CT imaging in patients with corona virus disease-19 (COVID-19)].

Identifieur interne : 000478 ( PubMed/Curation ); précédent : 000477; suivant : 000479

[Dynamic changes of chest CT imaging in patients with corona virus disease-19 (COVID-19)].

Source :

Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences [ 1008-9292 ] ; 2020.

RBID : pubmed:32096366

Descripteurs français

KwdFr :
- Chine, Facteurs temps, Hospitalisation, Humains, Infections à coronavirus (anatomopathologie), Infections à coronavirus (imagerie diagnostique), Monitorage physiologique, Pneumopathie virale (anatomopathologie), Pneumopathie virale (imagerie diagnostique), Poumon (anatomopathologie), Poumon (imagerie diagnostique), Tomodensitométrie (normes).
MESH :
- anatomopathologie : Infections à coronavirus, Pneumopathie virale, Poumon.
- imagerie diagnostique : Infections à coronavirus, Pneumopathie virale, Poumon.
- normes : Tomodensitométrie.
- Chine, Facteurs temps, Hospitalisation, Humains, Monitorage physiologique.
Wicri :
- geographic : République populaire de Chine.

English descriptors

KwdEn :
- China, Coronavirus Infections (diagnostic imaging), Coronavirus Infections (pathology), Hospitalization, Humans, Lung (diagnostic imaging), Lung (pathology), Monitoring, Physiologic, Pneumonia, Viral (diagnostic imaging), Pneumonia, Viral (pathology), Time Factors, Tomography, X-Ray Computed (standards).
MESH :
- geographic : China.
- diagnostic imaging : Coronavirus Infections, Lung, Pneumonia, Viral.
- pathology : Coronavirus Infections, Lung, Pneumonia, Viral.
- standards : Tomography, X-Ray Computed.
- Hospitalization, Humans, Monitoring, Physiologic, Time Factors.

Abstract

To analyze the dynamic changes of chest CT images of patients with corona virus disease-19 (COVID-19).

PubMed: 32096366

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Le document en format XML

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<term>Hospitalization</term>
<term>Humans</term>
<term>Lung (diagnostic imaging)</term>
<term>Lung (pathology)</term>
<term>Monitoring, Physiologic</term>
<term>Pneumonia, Viral (diagnostic imaging)</term>
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<term>Hospitalisation</term>
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<term>Infections à coronavirus (imagerie diagnostique)</term>
<term>Monitorage physiologique</term>
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<term>Lung</term>
<term>Pneumonia, Viral</term>
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<term>Pneumopathie virale</term>
<term>Poumon</term>
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<term>Lung</term>
<term>Pneumonia, Viral</term>
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<term>Monitorage physiologique</term>
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<front><div type="abstract" xml:lang="en">To analyze the dynamic changes of chest CT images of patients with corona virus disease-19 (COVID-19).</div>
</front>
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<DateCompleted><Year>2020</Year>
<Month>03</Month>
<Day>16</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>03</Month>
<Day>16</Day>
</DateRevised>
<Article PubModel="Print"><Journal><ISSN IssnType="Print">1008-9292</ISSN>
<JournalIssue CitedMedium="Print"><Volume>49</Volume>
<Issue>1</Issue>
<PubDate><Year>2020</Year>
<Month>Feb</Month>
<Day>24</Day>
</PubDate>
</JournalIssue>
<Title>Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences</Title>
<ISOAbbreviation>Zhejiang Da Xue Xue Bao Yi Xue Ban</ISOAbbreviation>
</Journal>
<ArticleTitle>[Dynamic changes of chest CT imaging in patients with corona virus disease-19 (COVID-19)].</ArticleTitle>
<Pagination><MedlinePgn>0</MedlinePgn>
</Pagination>
<Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">To analyze the dynamic changes of chest CT images of patients with corona virus disease-19 (COVID-19).</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">Fifty-two cases of COVID-19 were admitted in the First Affiliated Hospital of Zhejiang University School of Medicine. The consecutive chest CT scans were followed up for all patients with an average of 4 scans performed per patient during the hospitalization. The shortest interval between each scan was 2 days and the longest was 7 days. The shape, number and distribution of lung shadows, as well as the characteristics of the lesions on the CT images were reviewed.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">The obvious shadows infiltrating the lungs were shown on CT images in 50 cases, for other 2 cases there was no abnormal changes in the lungs during the first CT examination. Ground-glass opacities (GGO) were found in 48 cases (92.3%), and 19 cases (36.5%) had patchy consolidation and sub-consolidation, which were accompanied with air bronchi sign in 17 cases (32.7%). Forty one cases (78.8%) showed a thickened leaflet interval, 4 cases (7.6%) had a small number of fibrous stripes. During hospitalization, GGO lesions in COVID-19 patients gradually became rare, the fibrous strip shadows increased and it became the most common imaging manifestation. The lesions rapidly progressed in 39 cases (75.0%) within 6-9 days after admission. On days 10-14 of admission, the lesions distinctly resolved in 40 cases (76.9%).</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The chest CT images of patients with COVID-19 have certain characteristics with dynamic changes, which are of value for monitoring disease progress and clinical treatment.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Wang</LastName>
<ForeName>Jincheng</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Radiology Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</Affiliation>
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<ForeName>Jinpeng</ForeName>
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<Author ValidYN="Y"><LastName>Wang</LastName>
<ForeName>Yuanyuan</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Radiology Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</Affiliation>
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<ForeName>Wei</ForeName>
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</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Chen</LastName>
<ForeName>Xiaoqun</ForeName>
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<AffiliationInfo><Affiliation>Radiology Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</Affiliation>
</AffiliationInfo>
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<ForeName>Chao</ForeName>
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</AffiliationInfo>
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<ForeName>Yaping</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Radiology Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</Affiliation>
</AffiliationInfo>
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<ForeName>Wenjie</ForeName>
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</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Ruan</LastName>
<ForeName>Lingxiang</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Radiology Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</Affiliation>
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EXPLOR_STEP=$WICRI_ROOT/Wicri/Sante/explor/CovidV1/Data/PubMed/Curation

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000478 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/PubMed/Curation/biblio.hfd -nk 000478 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Sante
   |area=    CovidV1
   |flux=    PubMed
   |étape=   Curation
   |type=    RBID
   |clé=     pubmed:32096366
   |texte=   [Dynamic changes of chest CT imaging in patients with corona virus disease-19 (COVID-19)].
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Curation/RBID.i   -Sk "pubmed:32096366" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Curation/biblio.hfd   \
       | NlmPubMed2Wicri -a CovidV1

This area was generated with Dilib version V0.6.33.
Data generation: Fri Mar 27 18:14:15 2020. Site generation: Sun Jan 31 15:15:08 2021

	Serveur d'exploration Covid
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Serveur d'exploration Covid

[Dynamic changes of chest CT imaging in patients with corona virus disease-19 (COVID-19)].

[Dynamic changes of chest CT imaging in patients with corona virus disease-19 (COVID-19)].

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