CT chest for COVID-19, a multicenter study—experience with 220 Egyptian patients
Background COVID-19 has become a national and an international pre-occupation to all doctors. Dealing with patients with clinical suspicion of COVID-19 is a daily markedly growing professional issue for radiologists. The number of COVID-19 cases we deal with is peaking since last March and so is our...
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| Veröffentlicht in: | Egyptian Journal of Radiology and Nuclear Medicine 2020-07, Vol.51 (1), p.144-15, Article 144 |
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| container_title | Egyptian Journal of Radiology and Nuclear Medicine |
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| creator | Sabri, Youssriah Yahia Nassef, Amr A. Ibrahim, Iman Mohamed Hamdy Abd El Mageed, Mohammed Raafat Khairy, Mostafa Ahmed |
| description | Background
COVID-19 has become a national and an international pre-occupation to all doctors. Dealing with patients with clinical suspicion of COVID-19 is a daily markedly growing professional issue for radiologists. The number of COVID-19 cases we deal with is peaking since last March and so is our experience in recognizing the disease patterns and in assessing its severity. The purpose of this study is to assess the role of CT chest in the diagnosis of COVID-19 based on our experience with 220 Egyptian cases.
Results
A cross-sectional multicenter study involving 220 patients; 68 (30.9%) females and 152 (69.1%) males, their age range was 10-92 years (average 49.198 years). Non-contrast MSCT chest was done to patients with clinically suspected COVID-19. Data assessment and analysis for lesions probability, pattern, localization, and severity were done.
Bilateral affection was seen in 168/220 cases (76.36%). Multilobar affection was noted in 186/220 cases (84.54%). Lower lobes affection was noted in 179/220 cases (81.36%). Peripheral/subpleural affection was noted in 203/220 cases (92.27%). The common CT patterns (ground-glass opacities, consolidation, crazy paving, vascular thickening, traction bronchiectasis, vacuolar sign, architectural distortion signs, and reversed halo sign) and the uncommon CT patterns (halo sign, masses, nodules, lobar affection, tree in-bud-pattern and cysts) were discussed. Associated extra-pulmonary lesions described. Temporal changes, severity scoring, reporting, and possible pitfalls were all assessed.
Conclusion
In our experience, CT plays a basic essential role in diagnosing COVID-19 in the current declared pandemic. |
| doi_str_mv | 10.1186/s43055-020-00263-6 |
| format | Article |
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COVID-19 has become a national and an international pre-occupation to all doctors. Dealing with patients with clinical suspicion of COVID-19 is a daily markedly growing professional issue for radiologists. The number of COVID-19 cases we deal with is peaking since last March and so is our experience in recognizing the disease patterns and in assessing its severity. The purpose of this study is to assess the role of CT chest in the diagnosis of COVID-19 based on our experience with 220 Egyptian cases.
Results
A cross-sectional multicenter study involving 220 patients; 68 (30.9%) females and 152 (69.1%) males, their age range was 10-92 years (average 49.198 years). Non-contrast MSCT chest was done to patients with clinically suspected COVID-19. Data assessment and analysis for lesions probability, pattern, localization, and severity were done.
Bilateral affection was seen in 168/220 cases (76.36%). Multilobar affection was noted in 186/220 cases (84.54%). Lower lobes affection was noted in 179/220 cases (81.36%). Peripheral/subpleural affection was noted in 203/220 cases (92.27%). The common CT patterns (ground-glass opacities, consolidation, crazy paving, vascular thickening, traction bronchiectasis, vacuolar sign, architectural distortion signs, and reversed halo sign) and the uncommon CT patterns (halo sign, masses, nodules, lobar affection, tree in-bud-pattern and cysts) were discussed. Associated extra-pulmonary lesions described. Temporal changes, severity scoring, reporting, and possible pitfalls were all assessed.
Conclusion
In our experience, CT plays a basic essential role in diagnosing COVID-19 in the current declared pandemic.</description><identifier>ISSN: 2090-4762</identifier><identifier>ISSN: 0378-603X</identifier><identifier>EISSN: 2090-4762</identifier><identifier>DOI: 10.1186/s43055-020-00263-6</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Chronic illnesses ; Common patterns ; Coronaviruses ; COVID-19 ; CT chest ; Data analysis ; Disease ; Epidemiology ; Imaging ; Males ; Medical research ; Medicine ; Medicine & Public Health ; Medicine, Experimental ; Nuclear Medicine ; Patients ; Radiology ; Severe acute respiratory syndrome coronavirus 2 ; Severity score ; Software ; Temporal changes ; Uncommon patterns</subject><ispartof>Egyptian Journal of Radiology and Nuclear Medicine, 2020-07, Vol.51 (1), p.144-15, Article 144</ispartof><rights>The Author(s) 2020</rights><rights>COPYRIGHT 2020 Springer</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c551t-6e27f8a51541eab5b2e794bc1ba86368c87ae8071837b9ae1b63dd9dd21221b13</citedby><cites>FETCH-LOGICAL-c551t-6e27f8a51541eab5b2e794bc1ba86368c87ae8071837b9ae1b63dd9dd21221b13</cites><orcidid>0000-0001-8356-1281</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,860,881,27901,27902</link.rule.ids></links><search><creatorcontrib>Sabri, Youssriah Yahia</creatorcontrib><creatorcontrib>Nassef, Amr A.</creatorcontrib><creatorcontrib>Ibrahim, Iman Mohamed Hamdy</creatorcontrib><creatorcontrib>Abd El Mageed, Mohammed Raafat</creatorcontrib><creatorcontrib>Khairy, Mostafa Ahmed</creatorcontrib><title>CT chest for COVID-19, a multicenter study—experience with 220 Egyptian patients</title><title>Egyptian Journal of Radiology and Nuclear Medicine</title><addtitle>Egypt J Radiol Nucl Med</addtitle><description>Background
COVID-19 has become a national and an international pre-occupation to all doctors. Dealing with patients with clinical suspicion of COVID-19 is a daily markedly growing professional issue for radiologists. The number of COVID-19 cases we deal with is peaking since last March and so is our experience in recognizing the disease patterns and in assessing its severity. The purpose of this study is to assess the role of CT chest in the diagnosis of COVID-19 based on our experience with 220 Egyptian cases.
Results
A cross-sectional multicenter study involving 220 patients; 68 (30.9%) females and 152 (69.1%) males, their age range was 10-92 years (average 49.198 years). Non-contrast MSCT chest was done to patients with clinically suspected COVID-19. Data assessment and analysis for lesions probability, pattern, localization, and severity were done.
Bilateral affection was seen in 168/220 cases (76.36%). Multilobar affection was noted in 186/220 cases (84.54%). Lower lobes affection was noted in 179/220 cases (81.36%). Peripheral/subpleural affection was noted in 203/220 cases (92.27%). The common CT patterns (ground-glass opacities, consolidation, crazy paving, vascular thickening, traction bronchiectasis, vacuolar sign, architectural distortion signs, and reversed halo sign) and the uncommon CT patterns (halo sign, masses, nodules, lobar affection, tree in-bud-pattern and cysts) were discussed. Associated extra-pulmonary lesions described. Temporal changes, severity scoring, reporting, and possible pitfalls were all assessed.
Conclusion
In our experience, CT plays a basic essential role in diagnosing COVID-19 in the current declared pandemic.</description><subject>Chronic illnesses</subject><subject>Common patterns</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>CT chest</subject><subject>Data analysis</subject><subject>Disease</subject><subject>Epidemiology</subject><subject>Imaging</subject><subject>Males</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Medicine, Experimental</subject><subject>Nuclear Medicine</subject><subject>Patients</subject><subject>Radiology</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Severity score</subject><subject>Software</subject><subject>Temporal changes</subject><subject>Uncommon patterns</subject><issn>2090-4762</issn><issn>0378-603X</issn><issn>2090-4762</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNp9kt9qFDEUxgdRsNS-gFcBb52ak0z-3QhlrbpQKEj1NmSSzGyWncmYzFr3zofwCX0S006xLojJRcLJ9_04J3xV9RLwOYDkb3JDMWM1JrjGmHBa8yfVCcEK143g5Olf9-fVWc5bXFaDMfDmpPq0ukF24_OMupjQ6vrL-l0N6jUyaNjv5mD9OPuE8rx3h18_fvrvk0_Bj9aj2zBvECEYXfaHaQ5mRJOZy9OcX1TPOrPL_uzhPK0-v7-8WX2sr64_rFcXV7VlDOaaeyI6aRiwBrxpWUu8UE1roTWSUy6tFMZLLEBS0SrjoeXUOeUcAUKgBXparReui2arpxQGkw46mqDvCzH12qQyws5rJoVwlFkmuGtsAxK4FK3lUrFOYW4L6-3Cmvbt4N3d2MnsjqDHL2PY6D5-04IqyikpgFcPgBS_7st_6m3cp7HMr4kEIijnQB9VvSldhbGLBWaHkK2-4BKDkErJojr_h6ps54dg4-i7UOpHBrIYbIo5J9_9aRywvouIXiKiS0T0fUQ0Lya6mHIRj71Pjx3_x_UbQ-u8CA</recordid><startdate>20200731</startdate><enddate>20200731</enddate><creator>Sabri, Youssriah Yahia</creator><creator>Nassef, Amr A.</creator><creator>Ibrahim, Iman Mohamed Hamdy</creator><creator>Abd El Mageed, Mohammed Raafat</creator><creator>Khairy, Mostafa Ahmed</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><general>SpringerOpen</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8356-1281</orcidid></search><sort><creationdate>20200731</creationdate><title>CT chest for COVID-19, a multicenter study—experience with 220 Egyptian patients</title><author>Sabri, Youssriah Yahia ; Nassef, Amr A. ; Ibrahim, Iman Mohamed Hamdy ; Abd El Mageed, Mohammed Raafat ; Khairy, Mostafa Ahmed</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c551t-6e27f8a51541eab5b2e794bc1ba86368c87ae8071837b9ae1b63dd9dd21221b13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Chronic illnesses</topic><topic>Common patterns</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>CT chest</topic><topic>Data analysis</topic><topic>Disease</topic><topic>Epidemiology</topic><topic>Imaging</topic><topic>Males</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Medicine, Experimental</topic><topic>Nuclear Medicine</topic><topic>Patients</topic><topic>Radiology</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Severity score</topic><topic>Software</topic><topic>Temporal changes</topic><topic>Uncommon patterns</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sabri, Youssriah Yahia</creatorcontrib><creatorcontrib>Nassef, Amr A.</creatorcontrib><creatorcontrib>Ibrahim, Iman Mohamed Hamdy</creatorcontrib><creatorcontrib>Abd El Mageed, Mohammed Raafat</creatorcontrib><creatorcontrib>Khairy, Mostafa Ahmed</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</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>ProQuest Central China</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Egyptian Journal of Radiology and Nuclear Medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sabri, Youssriah Yahia</au><au>Nassef, Amr A.</au><au>Ibrahim, Iman Mohamed Hamdy</au><au>Abd El Mageed, Mohammed Raafat</au><au>Khairy, Mostafa Ahmed</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CT chest for COVID-19, a multicenter study—experience with 220 Egyptian patients</atitle><jtitle>Egyptian Journal of Radiology and Nuclear Medicine</jtitle><stitle>Egypt J Radiol Nucl Med</stitle><date>2020-07-31</date><risdate>2020</risdate><volume>51</volume><issue>1</issue><spage>144</spage><epage>15</epage><pages>144-15</pages><artnum>144</artnum><issn>2090-4762</issn><issn>0378-603X</issn><eissn>2090-4762</eissn><abstract>Background
COVID-19 has become a national and an international pre-occupation to all doctors. Dealing with patients with clinical suspicion of COVID-19 is a daily markedly growing professional issue for radiologists. The number of COVID-19 cases we deal with is peaking since last March and so is our experience in recognizing the disease patterns and in assessing its severity. The purpose of this study is to assess the role of CT chest in the diagnosis of COVID-19 based on our experience with 220 Egyptian cases.
Results
A cross-sectional multicenter study involving 220 patients; 68 (30.9%) females and 152 (69.1%) males, their age range was 10-92 years (average 49.198 years). Non-contrast MSCT chest was done to patients with clinically suspected COVID-19. Data assessment and analysis for lesions probability, pattern, localization, and severity were done.
Bilateral affection was seen in 168/220 cases (76.36%). Multilobar affection was noted in 186/220 cases (84.54%). Lower lobes affection was noted in 179/220 cases (81.36%). Peripheral/subpleural affection was noted in 203/220 cases (92.27%). The common CT patterns (ground-glass opacities, consolidation, crazy paving, vascular thickening, traction bronchiectasis, vacuolar sign, architectural distortion signs, and reversed halo sign) and the uncommon CT patterns (halo sign, masses, nodules, lobar affection, tree in-bud-pattern and cysts) were discussed. Associated extra-pulmonary lesions described. Temporal changes, severity scoring, reporting, and possible pitfalls were all assessed.
Conclusion
In our experience, CT plays a basic essential role in diagnosing COVID-19 in the current declared pandemic.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1186/s43055-020-00263-6</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-8356-1281</orcidid><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Springer Nature OA Free Journals |
| subjects | Chronic illnesses Common patterns Coronaviruses COVID-19 CT chest Data analysis Disease Epidemiology Imaging Males Medical research Medicine Medicine & Public Health Medicine, Experimental Nuclear Medicine Patients Radiology Severe acute respiratory syndrome coronavirus 2 Severity score Software Temporal changes Uncommon patterns |
| title | CT chest for COVID-19, a multicenter study—experience with 220 Egyptian patients |
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