Changes in computed tomography findings of COVID‐19 pneumonia: Less extensive lung involvement with decreasing disease prevalence
It has been observed that the degree of pulmonary involvement shown in chest computed tomography (CT) scans tended to decrease as the prevalence of coronavirus disease 2019 (COVID‐19) infection decreased in the Turkish population. The purpose of this study was to investigate the relationship between...
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Veröffentlicht in: | Journal of medical virology 2021-04, Vol.93 (4), p.2056-2064 |
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description | It has been observed that the degree of pulmonary involvement shown in chest computed tomography (CT) scans tended to decrease as the prevalence of coronavirus disease 2019 (COVID‐19) infection decreased in the Turkish population. The purpose of this study was to investigate the relationship between the disease severity based on chest CT scans and the temporal evolution of the epidemic. This study recruited 179 patients with confirmed COVID‐19 disease who had received a chest CT scan between March 14 and April 28, 2020. The participants were divided into three successive temporal groups based on their date of CT examination. The early (March 14–29), mid (March 30–April 13), and late (April 14–28) groups were compared regarding the presence and extent of pulmonary involvement and CT characteristics of lesions. COVID‐19 pneumonia was less extensive in participants under 45 years of age and patients presenting late in the course of epidemic (i.e., the late group) compared those presenting earlier. When each group was subcategorized on the basis of age, older patients in the late group had less extensive lung involvement than older patients in the early group. However, there was no significant difference in the extent of lung involvement in younger patients between the late and early groups. The severity of COVID‐19 pneumonia appears to be variable at different temporal windows of the epidemic curve and decreases in patients presenting in the later weeks compared to the earlier weeks, particularly in older patients. |
doi_str_mv | 10.1002/jmv.26573 |
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The purpose of this study was to investigate the relationship between the disease severity based on chest CT scans and the temporal evolution of the epidemic. This study recruited 179 patients with confirmed COVID‐19 disease who had received a chest CT scan between March 14 and April 28, 2020. The participants were divided into three successive temporal groups based on their date of CT examination. The early (March 14–29), mid (March 30–April 13), and late (April 14–28) groups were compared regarding the presence and extent of pulmonary involvement and CT characteristics of lesions. COVID‐19 pneumonia was less extensive in participants under 45 years of age and patients presenting late in the course of epidemic (i.e., the late group) compared those presenting earlier. When each group was subcategorized on the basis of age, older patients in the late group had less extensive lung involvement than older patients in the early group. However, there was no significant difference in the extent of lung involvement in younger patients between the late and early groups. The severity of COVID‐19 pneumonia appears to be variable at different temporal windows of the epidemic curve and decreases in patients presenting in the later weeks compared to the earlier weeks, particularly in older patients.</description><identifier>ISSN: 0146-6615</identifier><identifier>EISSN: 1096-9071</identifier><identifier>DOI: 10.1002/jmv.26573</identifier><identifier>PMID: 32997373</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Adult ; Aged ; Chest ; Computed tomography ; coronavirus infections ; Coronaviruses ; COVID-19 ; COVID-19 - diagnostic imaging ; COVID-19 - epidemiology ; Epidemics ; Female ; Humans ; Lung - diagnostic imaging ; Lung - pathology ; Lung diseases ; Lungs ; Male ; Middle Aged ; pandemic curve ; Pneumonia ; Prevalence ; Retrospective Studies ; Severity of Illness Index ; Time Factors ; Tomography ; Tomography, X-Ray Computed ; Turkey ; Viral diseases ; Virology</subject><ispartof>Journal of medical virology, 2021-04, Vol.93 (4), p.2056-2064</ispartof><rights>2020 Wiley Periodicals LLC</rights><rights>2020 Wiley Periodicals LLC.</rights><rights>2021 Wiley Periodicals LLC</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4713-846a13ad3ca0bfd84184fd486741cf07bf32296db8585c0c11e9ea63e8c537473</citedby><cites>FETCH-LOGICAL-c4713-846a13ad3ca0bfd84184fd486741cf07bf32296db8585c0c11e9ea63e8c537473</cites><orcidid>0000-0001-5882-3083</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjmv.26573$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjmv.26573$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32997373$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gumus, Terman</creatorcontrib><creatorcontrib>Cengiz, Duygu</creatorcontrib><creatorcontrib>Kartal, Furkan</creatorcontrib><creatorcontrib>Atceken, Zeynep</creatorcontrib><creatorcontrib>Tekin, Süda</creatorcontrib><creatorcontrib>Atasoy, Kayhan Cetin</creatorcontrib><title>Changes in computed tomography findings of COVID‐19 pneumonia: Less extensive lung involvement with decreasing disease prevalence</title><title>Journal of medical virology</title><addtitle>J Med Virol</addtitle><description>It has been observed that the degree of pulmonary involvement shown in chest computed tomography (CT) scans tended to decrease as the prevalence of coronavirus disease 2019 (COVID‐19) infection decreased in the Turkish population. The purpose of this study was to investigate the relationship between the disease severity based on chest CT scans and the temporal evolution of the epidemic. This study recruited 179 patients with confirmed COVID‐19 disease who had received a chest CT scan between March 14 and April 28, 2020. The participants were divided into three successive temporal groups based on their date of CT examination. The early (March 14–29), mid (March 30–April 13), and late (April 14–28) groups were compared regarding the presence and extent of pulmonary involvement and CT characteristics of lesions. COVID‐19 pneumonia was less extensive in participants under 45 years of age and patients presenting late in the course of epidemic (i.e., the late group) compared those presenting earlier. When each group was subcategorized on the basis of age, older patients in the late group had less extensive lung involvement than older patients in the early group. However, there was no significant difference in the extent of lung involvement in younger patients between the late and early groups. The severity of COVID‐19 pneumonia appears to be variable at different temporal windows of the epidemic curve and decreases in patients presenting in the later weeks compared to the earlier weeks, particularly in older patients.</description><subject>Adult</subject><subject>Aged</subject><subject>Chest</subject><subject>Computed tomography</subject><subject>coronavirus infections</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - diagnostic imaging</subject><subject>COVID-19 - epidemiology</subject><subject>Epidemics</subject><subject>Female</subject><subject>Humans</subject><subject>Lung - diagnostic imaging</subject><subject>Lung - pathology</subject><subject>Lung diseases</subject><subject>Lungs</subject><subject>Male</subject><subject>Middle Aged</subject><subject>pandemic curve</subject><subject>Pneumonia</subject><subject>Prevalence</subject><subject>Retrospective Studies</subject><subject>Severity of Illness Index</subject><subject>Time Factors</subject><subject>Tomography</subject><subject>Tomography, X-Ray Computed</subject><subject>Turkey</subject><subject>Viral diseases</subject><subject>Virology</subject><issn>0146-6615</issn><issn>1096-9071</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kctu1DAUhi0EokNhwQsgS2xgkda3xDELJDTcigZ1A91aHudkxqPETu0kZXZIvADPyJPgMqUCJFbH0vn86T_6EXpMyQklhJ3u-vmEVaXkd9CCElUVikh6Fy0IFVVRVbQ8Qg9S2hFCasXYfXTEmVKSS75A35Zb4zeQsPPYhn6YRmjwGPqwiWbY7nHrfOP8JuHQ4uX5xdnrH1-_U4UHD1MfvDMv8ApSwvBlBJ_cDLib_CbL5tDN0IMf8ZUbt7gBG8GkbMKNS_kFeIgwmw68hYfoXmu6BI9u5jH6_PbNp-X7YnX-7mz5alVYISkvalEZyk3DrSHrtqkFrUXbiLqSgtqWyHXLGVNVs67LurTEUgoKTMWhtiWXQvJj9PLgHaZ1D43N6aLp9BBdb-JeB-P03xvvtnoTZi3zf05FFjy7EcRwOUEade-Sha4zHsKUNBNCloJJVmb06T_oLkzR5_MypQhlVa2uhc8PlI0hpQjtbRhK9HW1Olerf1Wb2Sd_pr8lf3eZgdMDcOU62P_fpD98vDgofwJeqLEV</recordid><startdate>202104</startdate><enddate>202104</enddate><creator>Gumus, Terman</creator><creator>Cengiz, Duygu</creator><creator>Kartal, Furkan</creator><creator>Atceken, Zeynep</creator><creator>Tekin, Süda</creator><creator>Atasoy, Kayhan Cetin</creator><general>Wiley Subscription Services, Inc</general><general>John Wiley and Sons Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7TK</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-5882-3083</orcidid></search><sort><creationdate>202104</creationdate><title>Changes in computed tomography findings of COVID‐19 pneumonia: Less extensive lung involvement with decreasing disease prevalence</title><author>Gumus, Terman ; Cengiz, Duygu ; Kartal, Furkan ; Atceken, Zeynep ; Tekin, Süda ; Atasoy, Kayhan Cetin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4713-846a13ad3ca0bfd84184fd486741cf07bf32296db8585c0c11e9ea63e8c537473</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Chest</topic><topic>Computed tomography</topic><topic>coronavirus infections</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - diagnostic imaging</topic><topic>COVID-19 - epidemiology</topic><topic>Epidemics</topic><topic>Female</topic><topic>Humans</topic><topic>Lung - diagnostic imaging</topic><topic>Lung - pathology</topic><topic>Lung diseases</topic><topic>Lungs</topic><topic>Male</topic><topic>Middle Aged</topic><topic>pandemic curve</topic><topic>Pneumonia</topic><topic>Prevalence</topic><topic>Retrospective Studies</topic><topic>Severity of Illness Index</topic><topic>Time Factors</topic><topic>Tomography</topic><topic>Tomography, X-Ray Computed</topic><topic>Turkey</topic><topic>Viral diseases</topic><topic>Virology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gumus, Terman</creatorcontrib><creatorcontrib>Cengiz, Duygu</creatorcontrib><creatorcontrib>Kartal, Furkan</creatorcontrib><creatorcontrib>Atceken, Zeynep</creatorcontrib><creatorcontrib>Tekin, Süda</creatorcontrib><creatorcontrib>Atasoy, Kayhan Cetin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of medical virology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gumus, Terman</au><au>Cengiz, Duygu</au><au>Kartal, Furkan</au><au>Atceken, Zeynep</au><au>Tekin, Süda</au><au>Atasoy, Kayhan Cetin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Changes in computed tomography findings of COVID‐19 pneumonia: Less extensive lung involvement with decreasing disease prevalence</atitle><jtitle>Journal of medical virology</jtitle><addtitle>J Med Virol</addtitle><date>2021-04</date><risdate>2021</risdate><volume>93</volume><issue>4</issue><spage>2056</spage><epage>2064</epage><pages>2056-2064</pages><issn>0146-6615</issn><eissn>1096-9071</eissn><abstract>It has been observed that the degree of pulmonary involvement shown in chest computed tomography (CT) scans tended to decrease as the prevalence of coronavirus disease 2019 (COVID‐19) infection decreased in the Turkish population. The purpose of this study was to investigate the relationship between the disease severity based on chest CT scans and the temporal evolution of the epidemic. This study recruited 179 patients with confirmed COVID‐19 disease who had received a chest CT scan between March 14 and April 28, 2020. The participants were divided into three successive temporal groups based on their date of CT examination. The early (March 14–29), mid (March 30–April 13), and late (April 14–28) groups were compared regarding the presence and extent of pulmonary involvement and CT characteristics of lesions. COVID‐19 pneumonia was less extensive in participants under 45 years of age and patients presenting late in the course of epidemic (i.e., the late group) compared those presenting earlier. When each group was subcategorized on the basis of age, older patients in the late group had less extensive lung involvement than older patients in the early group. However, there was no significant difference in the extent of lung involvement in younger patients between the late and early groups. The severity of COVID‐19 pneumonia appears to be variable at different temporal windows of the epidemic curve and decreases in patients presenting in the later weeks compared to the earlier weeks, particularly in older patients.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>32997373</pmid><doi>10.1002/jmv.26573</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-5882-3083</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Chest Computed tomography coronavirus infections Coronaviruses COVID-19 COVID-19 - diagnostic imaging COVID-19 - epidemiology Epidemics Female Humans Lung - diagnostic imaging Lung - pathology Lung diseases Lungs Male Middle Aged pandemic curve Pneumonia Prevalence Retrospective Studies Severity of Illness Index Time Factors Tomography Tomography, X-Ray Computed Turkey Viral diseases Virology |
title | Changes in computed tomography findings of COVID‐19 pneumonia: Less extensive lung involvement with decreasing disease prevalence |
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