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[CT imaging features of patients with different clinical types of coronavirus disease 2019 (COVID-19)].

Identifieur interne : 000018 ( PubMed/Corpus ); précédent : 000017; suivant : 000019

[CT imaging features of patients with different clinical types of coronavirus disease 2019 (COVID-19)].

Auteurs : Qi Zhong ; Zhi Li ; Xiaoyong Shen ; Kaijin Xu ; Yihong Shen ; Qiang Fang ; Feng Chen ; Tingbo Liang

Source :

RBID : pubmed:32207591

Abstract

To analyze the CT findings of patients with different clinical types of coronavirus disease 2019 (COVID-19).

PubMed: 32207591

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pubmed:32207591

Le document en format XML

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<title xml:lang="en">[CT imaging features of patients with different clinical types of coronavirus disease 2019 (COVID-19)].</title>
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<name sortKey="Zhong, Qi" sort="Zhong, Qi" uniqKey="Zhong Q" first="Qi" last="Zhong">Qi Zhong</name>
<affiliation>
<nlm:affiliation>Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</nlm:affiliation>
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<name sortKey="Li, Zhi" sort="Li, Zhi" uniqKey="Li Z" first="Zhi" last="Li">Zhi Li</name>
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<nlm:affiliation>Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</nlm:affiliation>
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<name sortKey="Shen, Xiaoyong" sort="Shen, Xiaoyong" uniqKey="Shen X" first="Xiaoyong" last="Shen">Xiaoyong Shen</name>
<affiliation>
<nlm:affiliation>Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</nlm:affiliation>
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<name sortKey="Xu, Kaijin" sort="Xu, Kaijin" uniqKey="Xu K" first="Kaijin" last="Xu">Kaijin Xu</name>
<affiliation>
<nlm:affiliation>Department of Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</nlm:affiliation>
</affiliation>
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<author>
<name sortKey="Shen, Yihong" sort="Shen, Yihong" uniqKey="Shen Y" first="Yihong" last="Shen">Yihong Shen</name>
<affiliation>
<nlm:affiliation>Department of Respiratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</nlm:affiliation>
</affiliation>
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<name sortKey="Fang, Qiang" sort="Fang, Qiang" uniqKey="Fang Q" first="Qiang" last="Fang">Qiang Fang</name>
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<nlm:affiliation>Intensive Care Unit, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</nlm:affiliation>
</affiliation>
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<author>
<name sortKey="Chen, Feng" sort="Chen, Feng" uniqKey="Chen F" first="Feng" last="Chen">Feng Chen</name>
<affiliation>
<nlm:affiliation>Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</nlm:affiliation>
</affiliation>
</author>
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<name sortKey="Liang, Tingbo" sort="Liang, Tingbo" uniqKey="Liang T" first="Tingbo" last="Liang">Tingbo Liang</name>
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<nlm:affiliation>Department of Hepatopancreatobiliary Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</nlm:affiliation>
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<title xml:lang="en">[CT imaging features of patients with different clinical types of coronavirus disease 2019 (COVID-19)].</title>
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<affiliation>
<nlm:affiliation>Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</nlm:affiliation>
</affiliation>
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<name sortKey="Li, Zhi" sort="Li, Zhi" uniqKey="Li Z" first="Zhi" last="Li">Zhi Li</name>
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<nlm:affiliation>Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</nlm:affiliation>
</affiliation>
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<name sortKey="Shen, Xiaoyong" sort="Shen, Xiaoyong" uniqKey="Shen X" first="Xiaoyong" last="Shen">Xiaoyong Shen</name>
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<nlm:affiliation>Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</nlm:affiliation>
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<name sortKey="Xu, Kaijin" sort="Xu, Kaijin" uniqKey="Xu K" first="Kaijin" last="Xu">Kaijin Xu</name>
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<nlm:affiliation>Department of Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Shen, Yihong" sort="Shen, Yihong" uniqKey="Shen Y" first="Yihong" last="Shen">Yihong Shen</name>
<affiliation>
<nlm:affiliation>Department of Respiratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Fang, Qiang" sort="Fang, Qiang" uniqKey="Fang Q" first="Qiang" last="Fang">Qiang Fang</name>
<affiliation>
<nlm:affiliation>Intensive Care Unit, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</nlm:affiliation>
</affiliation>
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<author>
<name sortKey="Chen, Feng" sort="Chen, Feng" uniqKey="Chen F" first="Feng" last="Chen">Feng Chen</name>
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<nlm:affiliation>Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</nlm:affiliation>
</affiliation>
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<author>
<name sortKey="Liang, Tingbo" sort="Liang, Tingbo" uniqKey="Liang T" first="Tingbo" last="Liang">Tingbo Liang</name>
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<nlm:affiliation>Department of Hepatopancreatobiliary Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.</nlm:affiliation>
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<title level="j">Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences</title>
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<div type="abstract" xml:lang="en">To analyze the CT findings of patients with different clinical types of coronavirus disease 2019 (COVID-19).</div>
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<PMID Version="1">32207591</PMID>
<DateRevised>
<Year>2020</Year>
<Month>03</Month>
<Day>24</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>May</Month>
<Day>25</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>[CT imaging features of patients with different clinical types of coronavirus disease 2019 (COVID-19)].</ArticleTitle>
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<Abstract>
<AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">To analyze the CT findings of patients with different clinical types of coronavirus disease 2019 (COVID-19).</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">A total of 67 patients diagnosed as COVID-19 by nucleic acid testing were included and divided into 4 groups according to the clinical staging based on
<i>Diagnosis and treatment of novel coronavirus pneumonia (Trial version 6)</i>
. The CT imaging characteristics were analyzed among patients with different clinical types.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Among 67 patients, 3 (4.5%) were mild cases, 35 (52.2%) were ordinary cases, 22 (32.8%) were severe cases, and 7 (10.4%) were critically ill. There were no abnormal CT findings in mild cases. In 35 ordinary cases, there were single lesions in 3 cases (8.6%) and multiple lesions in 33 cases (91.4%), while in severe case 1 case had single lesion (4.5%) and 21 had multiple lesions (95.5%). CT images of ordinary patients were mainly manifested as solid plaque shadow and halo sign (18/35, 51.4%); while fibrous strip shadow with ground glass shadow was more frequent in severe cases (7/22, 31.8%). Consolidation shadow as the main lesion was observed in 7 cases, and all of them were severe or critical ill patients.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">CT images in patients with different clinical types of COVID-19 have characteristic manifestations, and solid shadow may predict severe and critical illness.</AbstractText>
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