Low-dose chest CT for diagnosing and assessing the extent of lung involvement of SARS-CoV-2 pneumonia using a semi quantitative score (Publication with Expression of Concern)
Objectives The purpose is to assess the ability of low-dose CT (LDCT) to determine lung involvement in SARS-CoV-2 pneumonia and to describe a COVID19-LDCT severity score. Materials and methods Patients with SARS-CoV-2 infection confirmed by RT-PCR were retrospectively analysed. Clinical data, the Na...
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| creator | Leger, Thomas Jacquier, Alexis Barral, Pierre-Antoine Castelli, Maxime Finance, Julie Lagier, Jean-Christophe Million, Matthieu Parola, Philippe Brouqui, Philippe Raoult, Didier Bartoli, Axel Gaubert, Jean-Yves Habert, Paul |
| description | Objectives
The purpose is to assess the ability of low-dose CT (LDCT) to determine lung involvement in SARS-CoV-2 pneumonia and to describe a COVID19-LDCT severity score.
Materials and methods
Patients with SARS-CoV-2 infection confirmed by RT-PCR were retrospectively analysed. Clinical data, the National Early Warning Score (NEWS) and imaging features were recorded. Lung features included ground-glass opacities (GGO), areas of consolidation and crazy paving patterns. The COVID19-LDCT score was calculated by summing the score of each segment from 0 (no involvement) to 10 (severe impairment). Univariate analysis was performed to explore predictive factor of high COVID19-LDCT score. The nonparametric Mann-Whitney test was used to compare groups and a Spearman correlation used with p |
| doi_str_mv | 10.1371/journal.pone.0241407 |
| format | Article |
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The purpose is to assess the ability of low-dose CT (LDCT) to determine lung involvement in SARS-CoV-2 pneumonia and to describe a COVID19-LDCT severity score.
Materials and methods
Patients with SARS-CoV-2 infection confirmed by RT-PCR were retrospectively analysed. Clinical data, the National Early Warning Score (NEWS) and imaging features were recorded. Lung features included ground-glass opacities (GGO), areas of consolidation and crazy paving patterns. The COVID19-LDCT score was calculated by summing the score of each segment from 0 (no involvement) to 10 (severe impairment). Univariate analysis was performed to explore predictive factor of high COVID19-LDCT score. The nonparametric Mann-Whitney test was used to compare groups and a Spearman correlation used with p<0.05 for significance.
Results
Eighty patients with positive RT-PCR were analysed. The mean age was 55 years +/- 16, with 42 males (53%). The most frequent symptoms were fever (60/80, 75%) and cough (59/80, 74%), the mean NEWS was 1.7 +/- 2.3. All LDCT could be analysed and 23/80 (28%) were normal. The major imaging finding was GGOs in 56 cases (67%). The COVID19-LDCT score (mean value = 19 +/- 29) was correlated with NEWS (r = 0.48, p<0.0001). No symptoms were risk factor to have pulmonary involvement. Univariate analysis shown that dyspnea, high respiratory rate, hypertension and diabetes are associated to a COVID19-LDCT score superior to 50.
Conclusions
COVID19-LDCT score did correlate with NEWS. It was significantly different in the clinical low-risk and high-risk groups. Further work is needed to validate the COVID19-LDCT score against patient prognosis.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0241407</identifier><identifier>PMID: 33141845</identifier><language>eng</language><publisher>SAN FRANCISCO: Public Library Science</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Betacoronavirus - genetics ; Betacoronavirus - isolation & purification ; Biology and Life Sciences ; Blood pressure ; CAT scans ; Complications and side effects ; Computed tomography ; Coronavirus Infections - complications ; Coronavirus Infections - diagnosis ; Coronavirus Infections - virology ; Coronaviruses ; Correlation analysis ; Cough ; Cough - etiology ; COVID-19 ; Diabetes mellitus ; Diagnosis ; Disease transmission ; Dyspnea ; Epidemics ; Female ; Fever ; Fever - etiology ; Heart rate ; Hospitals ; Humans ; Hypertension ; Infections ; Life Sciences ; Lung - diagnostic imaging ; Lung - physiopathology ; Lungs ; Male ; Medical diagnosis ; Medical imaging ; Medicine and Health Sciences ; Methods ; Middle Aged ; Multidisciplinary Sciences ; Oxygen saturation ; Pandemics ; Patients ; Performance prediction ; Physical Sciences ; Pneumonia ; Pneumonia, Viral - complications ; Pneumonia, Viral - diagnosis ; Pneumonia, Viral - virology ; Polymerase chain reaction ; Radiology ; Research and Analysis Methods ; Respiration ; Respiratory Rate ; Retrospective Studies ; Risk analysis ; Risk Factors ; Risk groups ; SARS-CoV-2 ; Science & Technology ; Science & Technology - Other Topics ; Severe acute respiratory syndrome ; Severe acute respiratory syndrome coronavirus 2 ; Severity of Illness Index ; Statistics, Nonparametric ; Tomography, X-Ray Computed ; Viral diseases ; Vital signs ; Young Adult</subject><ispartof>PloS one, 2020-11, Vol.15 (11), p.e0241407-e0241407, Article 0241407</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Leger et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Attribution</rights><rights>2020 Leger et al 2020 Leger et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>8</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000588376700023</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c726t-cb081ddf8a1525daed48f740bcd6a8a8271c581be20a15e124046767c5bcfc8a3</citedby><cites>FETCH-LOGICAL-c726t-cb081ddf8a1525daed48f740bcd6a8a8271c581be20a15e124046767c5bcfc8a3</cites><orcidid>0000-0002-5556-6947 ; 0000-0002-1061-1927 ; 0000-0003-0771-8245 ; 0000-0003-2510-2727 ; 0000-0003-4577-8708 ; 0000-0002-2895-5824 ; 0000-0003-0297-7942 ; 0000-0002-6125-2805 ; 0000-0001-5876-5389 ; 0000-0002-0633-5974</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7608883/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7608883/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2104,2116,2930,23873,27931,27932,28255,53798,53800</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33141845$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://amu.hal.science/hal-03149252$$DView record in HAL$$Hfree_for_read</backlink></links><search><contributor>Tan, Wenbin</contributor><creatorcontrib>Leger, Thomas</creatorcontrib><creatorcontrib>Jacquier, Alexis</creatorcontrib><creatorcontrib>Barral, Pierre-Antoine</creatorcontrib><creatorcontrib>Castelli, Maxime</creatorcontrib><creatorcontrib>Finance, Julie</creatorcontrib><creatorcontrib>Lagier, Jean-Christophe</creatorcontrib><creatorcontrib>Million, Matthieu</creatorcontrib><creatorcontrib>Parola, Philippe</creatorcontrib><creatorcontrib>Brouqui, Philippe</creatorcontrib><creatorcontrib>Raoult, Didier</creatorcontrib><creatorcontrib>Bartoli, Axel</creatorcontrib><creatorcontrib>Gaubert, Jean-Yves</creatorcontrib><creatorcontrib>Habert, Paul</creatorcontrib><title>Low-dose chest CT for diagnosing and assessing the extent of lung involvement of SARS-CoV-2 pneumonia using a semi quantitative score (Publication with Expression of Concern)</title><title>PloS one</title><addtitle>PLOS ONE</addtitle><addtitle>PLoS One</addtitle><description>Objectives
The purpose is to assess the ability of low-dose CT (LDCT) to determine lung involvement in SARS-CoV-2 pneumonia and to describe a COVID19-LDCT severity score.
Materials and methods
Patients with SARS-CoV-2 infection confirmed by RT-PCR were retrospectively analysed. Clinical data, the National Early Warning Score (NEWS) and imaging features were recorded. Lung features included ground-glass opacities (GGO), areas of consolidation and crazy paving patterns. The COVID19-LDCT score was calculated by summing the score of each segment from 0 (no involvement) to 10 (severe impairment). Univariate analysis was performed to explore predictive factor of high COVID19-LDCT score. The nonparametric Mann-Whitney test was used to compare groups and a Spearman correlation used with p<0.05 for significance.
Results
Eighty patients with positive RT-PCR were analysed. The mean age was 55 years +/- 16, with 42 males (53%). The most frequent symptoms were fever (60/80, 75%) and cough (59/80, 74%), the mean NEWS was 1.7 +/- 2.3. All LDCT could be analysed and 23/80 (28%) were normal. The major imaging finding was GGOs in 56 cases (67%). The COVID19-LDCT score (mean value = 19 +/- 29) was correlated with NEWS (r = 0.48, p<0.0001). No symptoms were risk factor to have pulmonary involvement. Univariate analysis shown that dyspnea, high respiratory rate, hypertension and diabetes are associated to a COVID19-LDCT score superior to 50.
Conclusions
COVID19-LDCT score did correlate with NEWS. It was significantly different in the clinical low-risk and high-risk groups. Further work is needed to validate the COVID19-LDCT score against patient prognosis.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Betacoronavirus - genetics</subject><subject>Betacoronavirus - isolation & purification</subject><subject>Biology and Life Sciences</subject><subject>Blood pressure</subject><subject>CAT scans</subject><subject>Complications and side effects</subject><subject>Computed tomography</subject><subject>Coronavirus Infections - complications</subject><subject>Coronavirus Infections - diagnosis</subject><subject>Coronavirus Infections - virology</subject><subject>Coronaviruses</subject><subject>Correlation analysis</subject><subject>Cough</subject><subject>Cough - etiology</subject><subject>COVID-19</subject><subject>Diabetes mellitus</subject><subject>Diagnosis</subject><subject>Disease transmission</subject><subject>Dyspnea</subject><subject>Epidemics</subject><subject>Female</subject><subject>Fever</subject><subject>Fever - etiology</subject><subject>Heart rate</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Infections</subject><subject>Life Sciences</subject><subject>Lung - diagnostic imaging</subject><subject>Lung - physiopathology</subject><subject>Lungs</subject><subject>Male</subject><subject>Medical diagnosis</subject><subject>Medical imaging</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Multidisciplinary Sciences</subject><subject>Oxygen saturation</subject><subject>Pandemics</subject><subject>Patients</subject><subject>Performance prediction</subject><subject>Physical Sciences</subject><subject>Pneumonia</subject><subject>Pneumonia, Viral - complications</subject><subject>Pneumonia, Viral - diagnosis</subject><subject>Pneumonia, Viral - virology</subject><subject>Polymerase chain reaction</subject><subject>Radiology</subject><subject>Research and Analysis Methods</subject><subject>Respiration</subject><subject>Respiratory Rate</subject><subject>Retrospective Studies</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Risk groups</subject><subject>SARS-CoV-2</subject><subject>Science & Technology</subject><subject>Science & Technology - Other Topics</subject><subject>Severe acute respiratory syndrome</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Severity of Illness Index</subject><subject>Statistics, Nonparametric</subject><subject>Tomography, X-Ray Computed</subject><subject>Viral diseases</subject><subject>Vital signs</subject><subject>Young 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chest CT for diagnosing and assessing the extent of lung involvement of SARS-CoV-2 pneumonia using a semi quantitative score (Publication with Expression of Concern)</title><author>Leger, Thomas ; Jacquier, Alexis ; Barral, Pierre-Antoine ; Castelli, Maxime ; Finance, Julie ; Lagier, Jean-Christophe ; Million, Matthieu ; Parola, Philippe ; Brouqui, Philippe ; Raoult, Didier ; Bartoli, Axel ; Gaubert, Jean-Yves ; Habert, Paul</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c726t-cb081ddf8a1525daed48f740bcd6a8a8271c581be20a15e124046767c5bcfc8a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Betacoronavirus - genetics</topic><topic>Betacoronavirus - isolation & purification</topic><topic>Biology and Life Sciences</topic><topic>Blood pressure</topic><topic>CAT scans</topic><topic>Complications and side effects</topic><topic>Computed tomography</topic><topic>Coronavirus Infections - complications</topic><topic>Coronavirus Infections - diagnosis</topic><topic>Coronavirus Infections - virology</topic><topic>Coronaviruses</topic><topic>Correlation analysis</topic><topic>Cough</topic><topic>Cough - etiology</topic><topic>COVID-19</topic><topic>Diabetes mellitus</topic><topic>Diagnosis</topic><topic>Disease transmission</topic><topic>Dyspnea</topic><topic>Epidemics</topic><topic>Female</topic><topic>Fever</topic><topic>Fever - etiology</topic><topic>Heart rate</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Infections</topic><topic>Life Sciences</topic><topic>Lung - diagnostic imaging</topic><topic>Lung - physiopathology</topic><topic>Lungs</topic><topic>Male</topic><topic>Medical diagnosis</topic><topic>Medical imaging</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Multidisciplinary Sciences</topic><topic>Oxygen saturation</topic><topic>Pandemics</topic><topic>Patients</topic><topic>Performance prediction</topic><topic>Physical Sciences</topic><topic>Pneumonia</topic><topic>Pneumonia, Viral - complications</topic><topic>Pneumonia, Viral - diagnosis</topic><topic>Pneumonia, Viral - virology</topic><topic>Polymerase chain reaction</topic><topic>Radiology</topic><topic>Research and Analysis Methods</topic><topic>Respiration</topic><topic>Respiratory Rate</topic><topic>Retrospective Studies</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Risk groups</topic><topic>SARS-CoV-2</topic><topic>Science & Technology</topic><topic>Science & Technology - Other Topics</topic><topic>Severe acute respiratory syndrome</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Severity of Illness Index</topic><topic>Statistics, Nonparametric</topic><topic>Tomography, X-Ray Computed</topic><topic>Viral diseases</topic><topic>Vital signs</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Leger, Thomas</creatorcontrib><creatorcontrib>Jacquier, Alexis</creatorcontrib><creatorcontrib>Barral, Pierre-Antoine</creatorcontrib><creatorcontrib>Castelli, Maxime</creatorcontrib><creatorcontrib>Finance, Julie</creatorcontrib><creatorcontrib>Lagier, Jean-Christophe</creatorcontrib><creatorcontrib>Million, Matthieu</creatorcontrib><creatorcontrib>Parola, Philippe</creatorcontrib><creatorcontrib>Brouqui, Philippe</creatorcontrib><creatorcontrib>Raoult, Didier</creatorcontrib><creatorcontrib>Bartoli, Axel</creatorcontrib><creatorcontrib>Gaubert, Jean-Yves</creatorcontrib><creatorcontrib>Habert, Paul</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index 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Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Leger, Thomas</au><au>Jacquier, Alexis</au><au>Barral, Pierre-Antoine</au><au>Castelli, Maxime</au><au>Finance, Julie</au><au>Lagier, Jean-Christophe</au><au>Million, Matthieu</au><au>Parola, Philippe</au><au>Brouqui, Philippe</au><au>Raoult, Didier</au><au>Bartoli, Axel</au><au>Gaubert, Jean-Yves</au><au>Habert, Paul</au><au>Tan, Wenbin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Low-dose chest CT for diagnosing and assessing the extent of lung involvement of SARS-CoV-2 pneumonia using a semi quantitative score (Publication with Expression of Concern)</atitle><jtitle>PloS one</jtitle><stitle>PLOS ONE</stitle><addtitle>PLoS One</addtitle><date>2020-11-03</date><risdate>2020</risdate><volume>15</volume><issue>11</issue><spage>e0241407</spage><epage>e0241407</epage><pages>e0241407-e0241407</pages><artnum>0241407</artnum><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Objectives
The purpose is to assess the ability of low-dose CT (LDCT) to determine lung involvement in SARS-CoV-2 pneumonia and to describe a COVID19-LDCT severity score.
Materials and methods
Patients with SARS-CoV-2 infection confirmed by RT-PCR were retrospectively analysed. Clinical data, the National Early Warning Score (NEWS) and imaging features were recorded. Lung features included ground-glass opacities (GGO), areas of consolidation and crazy paving patterns. The COVID19-LDCT score was calculated by summing the score of each segment from 0 (no involvement) to 10 (severe impairment). Univariate analysis was performed to explore predictive factor of high COVID19-LDCT score. The nonparametric Mann-Whitney test was used to compare groups and a Spearman correlation used with p<0.05 for significance.
Results
Eighty patients with positive RT-PCR were analysed. The mean age was 55 years +/- 16, with 42 males (53%). The most frequent symptoms were fever (60/80, 75%) and cough (59/80, 74%), the mean NEWS was 1.7 +/- 2.3. All LDCT could be analysed and 23/80 (28%) were normal. The major imaging finding was GGOs in 56 cases (67%). The COVID19-LDCT score (mean value = 19 +/- 29) was correlated with NEWS (r = 0.48, p<0.0001). No symptoms were risk factor to have pulmonary involvement. Univariate analysis shown that dyspnea, high respiratory rate, hypertension and diabetes are associated to a COVID19-LDCT score superior to 50.
Conclusions
COVID19-LDCT score did correlate with NEWS. It was significantly different in the clinical low-risk and high-risk groups. Further work is needed to validate the COVID19-LDCT score against patient prognosis.</abstract><cop>SAN FRANCISCO</cop><pub>Public Library Science</pub><pmid>33141845</pmid><doi>10.1371/journal.pone.0241407</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-5556-6947</orcidid><orcidid>https://orcid.org/0000-0002-1061-1927</orcidid><orcidid>https://orcid.org/0000-0003-0771-8245</orcidid><orcidid>https://orcid.org/0000-0003-2510-2727</orcidid><orcidid>https://orcid.org/0000-0003-4577-8708</orcidid><orcidid>https://orcid.org/0000-0002-2895-5824</orcidid><orcidid>https://orcid.org/0000-0003-0297-7942</orcidid><orcidid>https://orcid.org/0000-0002-6125-2805</orcidid><orcidid>https://orcid.org/0000-0001-5876-5389</orcidid><orcidid>https://orcid.org/0000-0002-0633-5974</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2020-11, Vol.15 (11), p.e0241407-e0241407, Article 0241407 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_hal_primary_oai_HAL_hal_03149252v1 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS) Journals Open Access; Web of Science - Science Citation Index Expanded - 2020<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" />; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adolescent Adult Aged Aged, 80 and over Betacoronavirus - genetics Betacoronavirus - isolation & purification Biology and Life Sciences Blood pressure CAT scans Complications and side effects Computed tomography Coronavirus Infections - complications Coronavirus Infections - diagnosis Coronavirus Infections - virology Coronaviruses Correlation analysis Cough Cough - etiology COVID-19 Diabetes mellitus Diagnosis Disease transmission Dyspnea Epidemics Female Fever Fever - etiology Heart rate Hospitals Humans Hypertension Infections Life Sciences Lung - diagnostic imaging Lung - physiopathology Lungs Male Medical diagnosis Medical imaging Medicine and Health Sciences Methods Middle Aged Multidisciplinary Sciences Oxygen saturation Pandemics Patients Performance prediction Physical Sciences Pneumonia Pneumonia, Viral - complications Pneumonia, Viral - diagnosis Pneumonia, Viral - virology Polymerase chain reaction Radiology Research and Analysis Methods Respiration Respiratory Rate Retrospective Studies Risk analysis Risk Factors Risk groups SARS-CoV-2 Science & Technology Science & Technology - Other Topics Severe acute respiratory syndrome Severe acute respiratory syndrome coronavirus 2 Severity of Illness Index Statistics, Nonparametric Tomography, X-Ray Computed Viral diseases Vital signs Young Adult |
| title | Low-dose chest CT for diagnosing and assessing the extent of lung involvement of SARS-CoV-2 pneumonia using a semi quantitative score (Publication with Expression of Concern) |
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