Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study
Identifieur interne : 003240 ( Ncbi/Curation ); précédent : 003239; suivant : 003241Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study
Auteurs : Heshui Shi [République populaire de Chine] ; Xiaoyu Han [République populaire de Chine] ; Nanchuan Jiang [République populaire de Chine] ; Yukun Cao [République populaire de Chine] ; Osamah Alwalid [République populaire de Chine] ; Jin Gu [République populaire de Chine] ; Yanqing Fan [République populaire de Chine] ; Chuansheng Zheng [République populaire de Chine]Source :
- The Lancet. Infectious Diseases [ 1473-3099 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte, Adulte d'âge moyen, Chine, Femelle, Humains, Infections à coronavirus (), Infections à coronavirus (anatomopathologie), Infections à coronavirus (sang), Infections à coronavirus (virologie), Mâle, Pandémies, Pneumopathie virale (), Pneumopathie virale (anatomopathologie), Pneumopathie virale (sang), Pneumopathie virale (virologie), Poumon (anatomopathologie), Sujet âgé, Tomodensitométrie.
- MESH :
- anatomopathologie : Infections à coronavirus, Pneumopathie virale, Poumon.
- sang : Infections à coronavirus, Pneumopathie virale.
- virologie : Infections à coronavirus, Pneumopathie virale.
- Adulte, Adulte d'âge moyen, Chine, Femelle, Humains, Infections à coronavirus, Mâle, Pandémies, Pneumopathie virale, Sujet âgé, Tomodensitométrie.
- Wicri :
- geographic : République populaire de Chine.
English descriptors
- KwdEn :
- Adult, Aged, Betacoronavirus (physiology), China, Coronavirus Infections (blood), Coronavirus Infections (complications), Coronavirus Infections (pathology), Coronavirus Infections (virology), Female, Humans, Lung (pathology), Male, Middle Aged, Pandemics, Pneumonia, Viral (blood), Pneumonia, Viral (complications), Pneumonia, Viral (pathology), Pneumonia, Viral (virology), Tomography, X-Ray Computed.
- MESH :
- geographic : China.
- blood : Coronavirus Infections, Pneumonia, Viral.
- complications : Coronavirus Infections, Pneumonia, Viral.
- pathology : Coronavirus Infections, Lung, Pneumonia, Viral.
- physiology : Betacoronavirus.
- virology : Coronavirus Infections, Pneumonia, Viral.
- Adult, Aged, Female, Humans, Male, Middle Aged, Pandemics, Tomography, X-Ray Computed.
Abstract
A cluster of patients with coronavirus disease 2019 (COVID-19) pneumonia caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were successively reported in Wuhan, China. We aimed to describe the CT findings across different timepoints throughout the disease course.
Patients with COVID-19 pneumonia (confirmed by next-generation sequencing or RT-PCR) who were admitted to one of two hospitals in Wuhan and who underwent serial chest CT scans were retrospectively enrolled. Patients were grouped on the basis of the interval between symptom onset and the first CT scan: group 1 (subclinical patients; scans done before symptom onset), group 2 (scans done ≤1 week after symptom onset), group 3 (>1 week to 2 weeks), and group 4 (>2 weeks to 3 weeks). Imaging features and their distribution were analysed and compared across the four groups.
81 patients admitted to hospital between Dec 20, 2019, and Jan 23, 2020, were retrospectively enrolled. The cohort included 42 (52%) men and 39 (48%) women, and the mean age was 49·5 years (SD 11·0). The mean number of involved lung segments was 10·5 (SD 6·4) overall, 2·8 (3·3) in group 1, 11·1 (5·4) in group 2, 13·0 (5·7) in group 3, and 12·1 (5·9) in group 4. The predominant pattern of abnormality observed was bilateral (64 [79%] patients), peripheral (44 [54%]), ill-defined (66 [81%]), and ground-glass opacification (53 [65%]), mainly involving the right lower lobes (225 [27%] of 849 affected segments). In group 1 (n=15), the predominant pattern was unilateral (nine [60%]) and multifocal (eight [53%]) ground-glass opacities (14 [93%]). Lesions quickly evolved to bilateral (19 [90%]), diffuse (11 [52%]) ground-glass opacity predominance (17 [81%]) in group 2 (n=21). Thereafter, the prevalence of ground-glass opacities continued to decrease (17 [57%] of 30 patients in group 3, and five [33%] of 15 in group 4), and consolidation and mixed patterns became more frequent (12 [40%] in group 3, eight [53%] in group 4).
COVID-19 pneumonia manifests with chest CT imaging abnormalities, even in asymptomatic patients, with rapid evolution from focal unilateral to diffuse bilateral ground-glass opacities that progressed to or co-existed with consolidations within 1–3 weeks. Combining assessment of imaging features with clinical and laboratory findings could facilitate early diagnosis of COVID-19 pneumonia.
None.
Url:
DOI: 10.1016/S1473-3099(20)30086-4
PubMed: 32105637
PubMed Central: 7159053
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PMC:7159053Le document en format XML
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<author><name sortKey="Gu, Jin" sort="Gu, Jin" uniqKey="Gu J" first="Jin" last="Gu">Jin Gu</name>
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<term>Aged</term>
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<term>China</term>
<term>Coronavirus Infections (blood)</term>
<term>Coronavirus Infections (complications)</term>
<term>Coronavirus Infections (pathology)</term>
<term>Coronavirus Infections (virology)</term>
<term>Female</term>
<term>Humans</term>
<term>Lung (pathology)</term>
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<term>Middle Aged</term>
<term>Pandemics</term>
<term>Pneumonia, Viral (blood)</term>
<term>Pneumonia, Viral (complications)</term>
<term>Pneumonia, Viral (pathology)</term>
<term>Pneumonia, Viral (virology)</term>
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<term>Adulte d'âge moyen</term>
<term>Chine</term>
<term>Femelle</term>
<term>Humains</term>
<term>Infections à coronavirus ()</term>
<term>Infections à coronavirus (anatomopathologie)</term>
<term>Infections à coronavirus (sang)</term>
<term>Infections à coronavirus (virologie)</term>
<term>Mâle</term>
<term>Pandémies</term>
<term>Pneumopathie virale ()</term>
<term>Pneumopathie virale (anatomopathologie)</term>
<term>Pneumopathie virale (sang)</term>
<term>Pneumopathie virale (virologie)</term>
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<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Lung</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Betacoronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="sang" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adult</term>
<term>Aged</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Pandemics</term>
<term>Tomography, X-Ray Computed</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Chine</term>
<term>Femelle</term>
<term>Humains</term>
<term>Infections à coronavirus</term>
<term>Mâle</term>
<term>Pandémies</term>
<term>Pneumopathie virale</term>
<term>Sujet âgé</term>
<term>Tomodensitométrie</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>République populaire de Chine</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><title>Summary</title>
<sec><title>Background</title>
<p>A cluster of patients with coronavirus disease 2019 (COVID-19) pneumonia caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were successively reported in Wuhan, China. We aimed to describe the CT findings across different timepoints throughout the disease course.</p>
</sec>
<sec><title>Methods</title>
<p>Patients with COVID-19 pneumonia (confirmed by next-generation sequencing or RT-PCR) who were admitted to one of two hospitals in Wuhan and who underwent serial chest CT scans were retrospectively enrolled. Patients were grouped on the basis of the interval between symptom onset and the first CT scan: group 1 (subclinical patients; scans done before symptom onset), group 2 (scans done ≤1 week after symptom onset), group 3 (>1 week to 2 weeks), and group 4 (>2 weeks to 3 weeks). Imaging features and their distribution were analysed and compared across the four groups.</p>
</sec>
<sec><title>Findings</title>
<p>81 patients admitted to hospital between Dec 20, 2019, and Jan 23, 2020, were retrospectively enrolled. The cohort included 42 (52%) men and 39 (48%) women, and the mean age was 49·5 years (SD 11·0). The mean number of involved lung segments was 10·5 (SD 6·4) overall, 2·8 (3·3) in group 1, 11·1 (5·4) in group 2, 13·0 (5·7) in group 3, and 12·1 (5·9) in group 4. The predominant pattern of abnormality observed was bilateral (64 [79%] patients), peripheral (44 [54%]), ill-defined (66 [81%]), and ground-glass opacification (53 [65%]), mainly involving the right lower lobes (225 [27%] of 849 affected segments). In group 1 (n=15), the predominant pattern was unilateral (nine [60%]) and multifocal (eight [53%]) ground-glass opacities (14 [93%]). Lesions quickly evolved to bilateral (19 [90%]), diffuse (11 [52%]) ground-glass opacity predominance (17 [81%]) in group 2 (n=21). Thereafter, the prevalence of ground-glass opacities continued to decrease (17 [57%] of 30 patients in group 3, and five [33%] of 15 in group 4), and consolidation and mixed patterns became more frequent (12 [40%] in group 3, eight [53%] in group 4).</p>
</sec>
<sec><title>Interpretation</title>
<p>COVID-19 pneumonia manifests with chest CT imaging abnormalities, even in asymptomatic patients, with rapid evolution from focal unilateral to diffuse bilateral ground-glass opacities that progressed to or co-existed with consolidations within 1–3 weeks. Combining assessment of imaging features with clinical and laboratory findings could facilitate early diagnosis of COVID-19 pneumonia.</p>
</sec>
<sec><title>Funding</title>
<p>None.</p>
</sec>
</div>
</front>
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