Temporal lung changes in high-resolution chest computed tomography for coronavirus disease 2019.
Identifieur interne : 000155 ( Main/Curation ); précédent : 000154; suivant : 000156Temporal lung changes in high-resolution chest computed tomography for coronavirus disease 2019.
Auteurs : Chengyang Chen [République populaire de Chine] ; Xing Wang [République populaire de Chine] ; Jia Dong [République populaire de Chine] ; Dianer Nie [République populaire de Chine] ; Qianlan Chen [République populaire de Chine] ; Feng Yang [République populaire de Chine] ; Weiwei Chen [République populaire de Chine] ; Qiongjie Hu [République populaire de Chine]Source :
- The Journal of international medical research [ 1473-2300 ] ; 2020.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Betacoronavirus (MeSH), Dose de rayonnement (MeSH), Femelle (MeSH), Humains (MeSH), Infections à coronavirus (anatomopathologie), Infections à coronavirus (diagnostic), Infections à coronavirus (imagerie diagnostique), Jeune adulte (MeSH), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (anatomopathologie), Pneumopathie virale (diagnostic), Pneumopathie virale (imagerie diagnostique), Poumon (anatomopathologie), Poumon (imagerie diagnostique), Sujet âgé (MeSH), Tomodensitométrie (MeSH), Évolution de la maladie (MeSH).
- MESH :
- anatomopathologie : Infections à coronavirus, Pneumopathie virale, Poumon.
- diagnostic : Infections à coronavirus, Pneumopathie virale.
- imagerie diagnostique : Infections à coronavirus, Pneumopathie virale, Poumon.
- Adolescent, Adulte, Adulte d'âge moyen, Betacoronavirus, Dose de rayonnement, Femelle, Humains, Jeune adulte, Mâle, Pandémies, Sujet âgé, Tomodensitométrie, Évolution de la maladie.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Betacoronavirus (MeSH), Coronavirus Infections (diagnosis), Coronavirus Infections (diagnostic imaging), Coronavirus Infections (pathology), Disease Progression (MeSH), Female (MeSH), Humans (MeSH), Lung (diagnostic imaging), Lung (pathology), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (diagnosis), Pneumonia, Viral (diagnostic imaging), Pneumonia, Viral (pathology), Radiation Dosage (MeSH), Tomography, X-Ray Computed (MeSH), Young Adult (MeSH).
- MESH :
- diagnosis : Coronavirus Infections, Pneumonia, Viral.
- diagnostic imaging : Coronavirus Infections, Lung, Pneumonia, Viral.
- pathology : Coronavirus Infections, Lung, Pneumonia, Viral.
- Adolescent, Adult, Aged, Betacoronavirus, Disease Progression, Female, Humans, Male, Middle Aged, Pandemics, Radiation Dosage, Tomography, X-Ray Computed, Young Adult.
Abstract
OBJECTIVE
To evaluate temporal lung changes in coronavirus disease 2019 (COVID-19) in high-resolution computed tomography (HRCT) and to determine the appropriate computed tomographic (CT) follow-up time.
METHODS
Eighty-six patients with two or more HRCT scans who were diagnosed with COVID-19 were included. The CT score and major CT findings were evaluated.
RESULTS
Eighty-two (95.3%) patients had lesions on the initial HRCT scans. Most scans showed bilateral, multifocal lung lesions, with multiple lobes involved and diffuse distribution. For fifty-seven patients with type I (progress compared with the initial CT score), the CT score reached a peak at 12 days and the nadir at 36 days. For twenty-nine patients with type II (no progress compared with the initial CT score), the lowest CT score was reached at 23 days. On the final HRCT scans (>21 days), patients with a reticular pattern were older than those without a reticular pattern.
CONCLUSION
The appropriate follow-up time of CT scans is during the second week (approximately 12 days) and the fourth to fifth weeks (approximately 23-36 days) from the onset of illness. These times could help reduce the CT radiation dose and show timely changes in the course of the disease by CT.
DOI: 10.1177/0300060520950990
PubMed: 32951493
PubMed Central: PMC7506184
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term>
<term>Adult (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Coronavirus Infections (diagnosis)</term>
<term>Coronavirus Infections (diagnostic imaging)</term>
<term>Coronavirus Infections (pathology)</term>
<term>Disease Progression (MeSH)</term>
<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Lung (diagnostic imaging)</term>
<term>Lung (pathology)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (diagnosis)</term>
<term>Pneumonia, Viral (diagnostic imaging)</term>
<term>Pneumonia, Viral (pathology)</term>
<term>Radiation Dosage (MeSH)</term>
<term>Tomography, X-Ray Computed (MeSH)</term>
<term>Young Adult (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term>
<term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Dose de rayonnement (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Infections à coronavirus (anatomopathologie)</term>
<term>Infections à coronavirus (diagnostic)</term>
<term>Infections à coronavirus (imagerie diagnostique)</term>
<term>Jeune adulte (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (anatomopathologie)</term>
<term>Pneumopathie virale (diagnostic)</term>
<term>Pneumopathie virale (imagerie diagnostique)</term>
<term>Poumon (anatomopathologie)</term>
<term>Poumon (imagerie diagnostique)</term>
<term>Sujet âgé (MeSH)</term>
<term>Tomodensitométrie (MeSH)</term>
<term>Évolution de la maladie (MeSH)</term>
</keywords>
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<term>Pneumopathie virale</term>
<term>Poumon</term>
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<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Coronavirus Infections</term>
<term>Lung</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="imagerie diagnostique" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
<term>Poumon</term>
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<term>Lung</term>
<term>Pneumonia, Viral</term>
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<keywords scheme="MESH" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Betacoronavirus</term>
<term>Disease Progression</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Pandemics</term>
<term>Radiation Dosage</term>
<term>Tomography, X-Ray Computed</term>
<term>Young Adult</term>
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<term>Adulte d'âge moyen</term>
<term>Betacoronavirus</term>
<term>Dose de rayonnement</term>
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<term>Humains</term>
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<term>Mâle</term>
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<front><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b>
</p>
<p>To evaluate temporal lung changes in coronavirus disease 2019 (COVID-19) in high-resolution computed tomography (HRCT) and to determine the appropriate computed tomographic (CT) follow-up time.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>Eighty-six patients with two or more HRCT scans who were diagnosed with COVID-19 were included. The CT score and major CT findings were evaluated.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>Eighty-two (95.3%) patients had lesions on the initial HRCT scans. Most scans showed bilateral, multifocal lung lesions, with multiple lobes involved and diffuse distribution. For fifty-seven patients with type I (progress compared with the initial CT score), the CT score reached a peak at 12 days and the nadir at 36 days. For twenty-nine patients with type II (no progress compared with the initial CT score), the lowest CT score was reached at 23 days. On the final HRCT scans (>21 days), patients with a reticular pattern were older than those without a reticular pattern.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>The appropriate follow-up time of CT scans is during the second week (approximately 12 days) and the fourth to fifth weeks (approximately 23-36 days) from the onset of illness. These times could help reduce the CT radiation dose and show timely changes in the course of the disease by CT.</p>
</div>
</front>
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<Title>The Journal of international medical research</Title>
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<ArticleTitle>Temporal lung changes in high-resolution chest computed tomography for coronavirus disease 2019.</ArticleTitle>
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<Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">To evaluate temporal lung changes in coronavirus disease 2019 (COVID-19) in high-resolution computed tomography (HRCT) and to determine the appropriate computed tomographic (CT) follow-up time.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">Eighty-six patients with two or more HRCT scans who were diagnosed with COVID-19 were included. The CT score and major CT findings were evaluated.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Eighty-two (95.3%) patients had lesions on the initial HRCT scans. Most scans showed bilateral, multifocal lung lesions, with multiple lobes involved and diffuse distribution. For fifty-seven patients with type I (progress compared with the initial CT score), the CT score reached a peak at 12 days and the nadir at 36 days. For twenty-nine patients with type II (no progress compared with the initial CT score), the lowest CT score was reached at 23 days. On the final HRCT scans (>21 days), patients with a reticular pattern were older than those without a reticular pattern.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">The appropriate follow-up time of CT scans is during the second week (approximately 12 days) and the fourth to fifth weeks (approximately 23-36 days) from the onset of illness. These times could help reduce the CT radiation dose and show timely changes in the course of the disease by CT.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Chen</LastName>
<ForeName>Chengyang</ForeName>
<Initials>C</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0002-5523-8169</Identifier>
<AffiliationInfo><Affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Wang</LastName>
<ForeName>Xing</ForeName>
<Initials>X</Initials>
<AffiliationInfo><Affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Dong</LastName>
<ForeName>Jia</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Nie</LastName>
<ForeName>Dianer</ForeName>
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</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chen</LastName>
<ForeName>Qianlan</ForeName>
<Initials>Q</Initials>
<AffiliationInfo><Affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yang</LastName>
<ForeName>Feng</ForeName>
<Initials>F</Initials>
<AffiliationInfo><Affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chen</LastName>
<ForeName>Weiwei</ForeName>
<Initials>W</Initials>
<AffiliationInfo><Affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Hu</LastName>
<ForeName>Qiongjie</ForeName>
<Initials>Q</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0001-8910-0785</Identifier>
<AffiliationInfo><Affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
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