CovidV1, an2020, Analysis, bibRecord, 000036

[Novel coronavirus pneumonia (COVID-19) CT distribution and sign features].

Identifieur interne : 000036 ( an2020/Analysis ); précédent : 000035; suivant : 000037

[Novel coronavirus pneumonia (COVID-19) CT distribution and sign features].

Auteurs : J. Wu [République populaire de Chine] ; C L Feng [République populaire de Chine] ; X Y Xian ; J. Qiang [République populaire de Chine] ; J. Zhang [République populaire de Chine] ; Q X Mao [République populaire de Chine] ; S F Kong [République populaire de Chine] ; Y C Chen [République populaire de Chine] ; J P Pan [République populaire de Chine]

Source :

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases [ 1001-0939 ] ; 2020.

RBID : pubmed:32125131

Abstract

Objective: To investigate the imaging findings of 2019 novel coronavirus pneumonia (COVID-19). Methods: From January 20 to February 5, 2020, a total of 130 patients diagnosed with COVID-19 from seven hospitals in China were collected. The imaging data were reviewed and analyzed in detail. Results: (1) Distribution: the lesion detected in the lung unilaterally in 14 cases (10.7%) and bilaterally in 116 cases (89.3%). According to the distribution in the lobes of the lung, all cases could be classified into subpleural distribution (102 cases, 78.4%), centrilobular distribution (99 cases, 76.1%) and diffused distribution (8 cases, 6.1%). (2) Number of lesions: single lesion 9 cases (6.9%); multiple lesions 113 cases (86.9%), diffuse lesions 8 cases (6.1%). (3) Imaging density: 70 cases (53.8%) of ground-glass opacity (GGO), 60 cases (46.2%) of GGO + consolidation. (4) Accompanying signs: 100 cases (76.9%) with vascular thickening, 98 cases (75.3%) with "pleural parallel sign" ; "intralobular septal thickening" in 100 cases (76.9%); "halo sign" in 13 cases (10%); "reversed-halo sign" in 6 cases (4.6%); pleural effusion in 3 cases (2.3 %), and pneumatocele in 2 cases (1.5%); no case with pulmonary cavity. Among 35 patients that underwent follow-up CT, 21 patients (60%) improved while 14 (40%) exacerbated. Conclusions: COVID-19 imaging characteristic mainly has subpleural, centrilobular and diffused distribution. The first two distributions can overlap or progress to diffused distribution. In the later period, it was mainly manifested as organizing pneumonia and fibrosis. The most valuable characteristic is the pleural parallel sign.

DOI: 10.3760/cma.j.cn112147-20200217-00106
PubMed: 32125131

Affiliations:

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pubmed:32125131

Le document en format XML

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<affiliation wicri:level="1"><nlm:affiliation>Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China.</nlm:affiliation>
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<author><name sortKey="Chen, Y C" sort="Chen, Y C" uniqKey="Chen Y" first="Y C" last="Chen">Y C Chen</name>
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<author><name sortKey="Pan, J P" sort="Pan, J P" uniqKey="Pan J" first="J P" last="Pan">J P Pan</name>
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<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Imaging, Qujiang District People's Hospital, Lung imaging alliance, Shaoguan 512100</wicri:regionArea>
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<author><name sortKey="Feng, C L" sort="Feng, C L" uniqKey="Feng C" first="C L" last="Feng">C L Feng</name>
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<author><name sortKey="Qiang, J" sort="Qiang, J" uniqKey="Qiang J" first="J" last="Qiang">J. Qiang</name>
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<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Radiology, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and Technology, Luoyang 471003</wicri:regionArea>
<wicri:noRegion>Luoyang 471003</wicri:noRegion>
</affiliation>
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<author><name sortKey="Zhang, J" sort="Zhang, J" uniqKey="Zhang J" first="J" last="Zhang">J. Zhang</name>
<affiliation wicri:level="1"><nlm:affiliation>The 908th  Hospital of Chinese People's Liberation Army Joint Logistic Support Force, Nanchang 330002, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>The 908th  Hospital of Chinese People's Liberation Army Joint Logistic Support Force, Nanchang 330002</wicri:regionArea>
<placeName><settlement type="city">Nanchang</settlement>
<region type="province">Jiangxi</region>
</placeName>
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<author><name sortKey="Mao, Q X" sort="Mao, Q X" uniqKey="Mao Q" first="Q X" last="Mao">Q X Mao</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Radiology, Guangxi province Longtan Hospital, LiuZhou 545003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Radiology, Guangxi province Longtan Hospital, LiuZhou 545003</wicri:regionArea>
<wicri:noRegion>LiuZhou 545003</wicri:noRegion>
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<author><name sortKey="Kong, S F" sort="Kong, S F" uniqKey="Kong S" first="S F" last="Kong">S F Kong</name>
<affiliation wicri:level="1"><nlm:affiliation>The 908th  Hospital of Chinese People's Liberation Army Joint Logistic Support Force, Nanchang 330002, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>The 908th  Hospital of Chinese People's Liberation Army Joint Logistic Support Force, Nanchang 330002</wicri:regionArea>
<placeName><settlement type="city">Nanchang</settlement>
<region type="province">Jiangxi</region>
</placeName>
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<author><name sortKey="Chen, Y C" sort="Chen, Y C" uniqKey="Chen Y" first="Y C" last="Chen">Y C Chen</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006</wicri:regionArea>
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<author><name sortKey="Pan, J P" sort="Pan, J P" uniqKey="Pan J" first="J P" last="Pan">J P Pan</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Imaging, Qujiang District People's Hospital, Lung imaging alliance, Shaoguan 512100, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Imaging, Qujiang District People's Hospital, Lung imaging alliance, Shaoguan 512100</wicri:regionArea>
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<front><div type="abstract" xml:lang="en"><b>Objective:</b>
 To investigate the imaging findings of 2019 novel coronavirus pneumonia (COVID-19). <b>Methods:</b>
 From January 20 to February 5, 2020, a total of 130 patients diagnosed with COVID-19 from seven hospitals in China were collected. The imaging data were reviewed and analyzed in detail. <b>Results:</b>
 (1) Distribution: the lesion detected in the lung unilaterally in 14 cases (10.7%) and bilaterally in 116 cases (89.3%). According to the distribution in the lobes of the lung, all cases could be classified into subpleural distribution (102 cases, 78.4%), centrilobular distribution (99 cases, 76.1%) and diffused distribution (8 cases, 6.1%). (2) Number of lesions: single lesion 9 cases (6.9%); multiple lesions 113 cases (86.9%), diffuse lesions 8 cases (6.1%). (3) Imaging density: 70 cases (53.8%) of ground-glass opacity (GGO), 60 cases (46.2%) of GGO + consolidation. (4) Accompanying signs: 100 cases (76.9%) with vascular thickening, 98 cases (75.3%) with "pleural parallel sign" ; "intralobular septal thickening" in 100 cases (76.9%); "halo sign" in 13 cases (10%); "reversed-halo sign" in 6 cases (4.6%); pleural effusion in 3 cases (2.3 %), and pneumatocele in 2 cases (1.5%); no case with pulmonary cavity. Among 35 patients that underwent follow-up CT, 21 patients (60%) improved while 14 (40%) exacerbated. <b>Conclusions:</b>
 COVID-19 imaging characteristic mainly has subpleural, centrilobular and diffused distribution. The first two distributions can overlap or progress to diffused distribution. In the later period, it was mainly manifested as organizing pneumonia and fibrosis. The most valuable characteristic is the pleural parallel sign.</div>
</front>
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<affiliations><list><country><li>République populaire de Chine</li>
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<tree><noCountry><name sortKey="Xian, X Y" sort="Xian, X Y" uniqKey="Xian X" first="X Y" last="Xian">X Y Xian</name>
</noCountry>
<country name="République populaire de Chine"><noRegion><name sortKey="Wu, J" sort="Wu, J" uniqKey="Wu J" first="J" last="Wu">J. Wu</name>
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<name sortKey="Chen, Y C" sort="Chen, Y C" uniqKey="Chen Y" first="Y C" last="Chen">Y C Chen</name>
<name sortKey="Feng, C L" sort="Feng, C L" uniqKey="Feng C" first="C L" last="Feng">C L Feng</name>
<name sortKey="Kong, S F" sort="Kong, S F" uniqKey="Kong S" first="S F" last="Kong">S F Kong</name>
<name sortKey="Mao, Q X" sort="Mao, Q X" uniqKey="Mao Q" first="Q X" last="Mao">Q X Mao</name>
<name sortKey="Pan, J P" sort="Pan, J P" uniqKey="Pan J" first="J P" last="Pan">J P Pan</name>
<name sortKey="Qiang, J" sort="Qiang, J" uniqKey="Qiang J" first="J" last="Qiang">J. Qiang</name>
<name sortKey="Zhang, J" sort="Zhang, J" uniqKey="Zhang J" first="J" last="Zhang">J. Zhang</name>
</country>
</tree>
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[Novel coronavirus pneumonia (COVID-19) CT distribution and sign features].

[Novel coronavirus pneumonia (COVID-19) CT distribution and sign features].

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