An Insight of the First Community Infected COVID-19 Patient in Beijing by Imported Case: Role of Deep Learning-Assisted CT Diagnosis
In the era of coronavirus disease 2019 (COVID-19) pandemic, imported COVID-19 cases pose great challenges to many countries. Chest CT examination is considered to be complementary to nucleic acid test for COVID-19 detection and diagnosis. We report the first community infected COVID-19 patient by an...
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| Veröffentlicht in: | Chinese medical sciences journal 2021-03, Vol.36 (1), p.66-71 |
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| creator | Li, Dasheng Wang, Dawei Wang, Nana Xu, Haiwang Huang, He Dong, Jianping Xia, Chen |
| description | In the era of coronavirus disease 2019 (COVID-19) pandemic, imported COVID-19 cases pose great challenges to many countries. Chest CT examination is considered to be complementary to nucleic acid test for COVID-19 detection and diagnosis. We report the first community infected COVID-19 patient by an imported case in Beijing, which manifested as nodular lesions on chest CT imaging at the early stage. Deep Learning (DL)-based diagnostic systems quantitatively monitored the progress of pulmonary lesions in 6 days and timely made alert for suspected pneumonia, so that prompt medical isolation was taken. The patient was confirmed as COVID-19 case after nucleic acid test, for which the community transmission was prevented timely. The roles of DL-assisted diagnosis in helping radiologists screening suspected COVID cases were discussed. |
| doi_str_mv | 10.24920/003788 |
| format | Article |
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Chest CT examination is considered to be complementary to nucleic acid test for COVID-19 detection and diagnosis. We report the first community infected COVID-19 patient by an imported case in Beijing, which manifested as nodular lesions on chest CT imaging at the early stage. Deep Learning (DL)-based diagnostic systems quantitatively monitored the progress of pulmonary lesions in 6 days and timely made alert for suspected pneumonia, so that prompt medical isolation was taken. The patient was confirmed as COVID-19 case after nucleic acid test, for which the community transmission was prevented timely. The roles of DL-assisted diagnosis in helping radiologists screening suspected COVID cases were discussed.</description><identifier>ISSN: 1001-9294</identifier><identifier>EISSN: 1001-9294</identifier><identifier>DOI: 10.24920/003788</identifier><identifier>PMID: 33853711</identifier><language>eng</language><publisher>China: Elsevier B.V</publisher><subject>Adult ; Beijing ; Case Report ; Community-Acquired Infections - diagnostic imaging ; computed tomography ; coronavirus disease 2019 ; COVID-19 - diagnostic imaging ; COVID-19 Testing - methods ; Deep Learning ; diagnosis ; Humans ; imported cases ; Lung - diagnostic imaging ; Male ; Tomography, X-Ray Computed - methods</subject><ispartof>Chinese medical sciences journal, 2021-03, Vol.36 (1), p.66-71</ispartof><rights>2021 Chinese Academy Medical Sciences</rights><rights>Copyright © 2021 Chinese Academy Medical Sciences. Published by Elsevier B.V. All rights reserved. 2021 Chinese Academy Medical Sciences</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27922,27923</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33853711$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Dasheng</creatorcontrib><creatorcontrib>Wang, Dawei</creatorcontrib><creatorcontrib>Wang, Nana</creatorcontrib><creatorcontrib>Xu, Haiwang</creatorcontrib><creatorcontrib>Huang, He</creatorcontrib><creatorcontrib>Dong, Jianping</creatorcontrib><creatorcontrib>Xia, Chen</creatorcontrib><creatorcontrib>2北京推想科技有限公司先进研究院,北京 100025,中国 Institute of Advanced Research, Infervision Medical Technology Co., Ltd., Beijing 100025, China</creatorcontrib><creatorcontrib>1放射科,北京大学第三医院北京海淀院区（北京海淀医院）,北京100080,中国 Department of Radiology, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing 100080, China</creatorcontrib><creatorcontrib>3感染科;北京大学第三医院北京海淀院区（北京海淀医院）,北京100080,中国 Department of Infection, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing 100080, China</creatorcontrib><title>An Insight of the First Community Infected COVID-19 Patient in Beijing by Imported Case: Role of Deep Learning-Assisted CT Diagnosis</title><title>Chinese medical sciences journal</title><addtitle>Chin Med Sci J</addtitle><description>In the era of coronavirus disease 2019 (COVID-19) pandemic, imported COVID-19 cases pose great challenges to many countries. Chest CT examination is considered to be complementary to nucleic acid test for COVID-19 detection and diagnosis. We report the first community infected COVID-19 patient by an imported case in Beijing, which manifested as nodular lesions on chest CT imaging at the early stage. Deep Learning (DL)-based diagnostic systems quantitatively monitored the progress of pulmonary lesions in 6 days and timely made alert for suspected pneumonia, so that prompt medical isolation was taken. The patient was confirmed as COVID-19 case after nucleic acid test, for which the community transmission was prevented timely. The roles of DL-assisted diagnosis in helping radiologists screening suspected COVID cases were discussed.</description><subject>Adult</subject><subject>Beijing</subject><subject>Case Report</subject><subject>Community-Acquired Infections - diagnostic imaging</subject><subject>computed tomography</subject><subject>coronavirus disease 2019</subject><subject>COVID-19 - diagnostic imaging</subject><subject>COVID-19 Testing - methods</subject><subject>Deep Learning</subject><subject>diagnosis</subject><subject>Humans</subject><subject>imported cases</subject><subject>Lung - diagnostic imaging</subject><subject>Male</subject><subject>Tomography, X-Ray Computed - methods</subject><issn>1001-9294</issn><issn>1001-9294</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNplkcFuEzEQhi0EoqUg3gD5BpctY6-3a3NACgktkSIVocLV8tqziatdO9ibSr3z4JikVK16sq359HlmfkLeMjjlQnH4CFC3Uj4jxwyAVYor8fzB_Yi8yvkaAM6YFC_JUV3Lpm4ZOyZ_ZoEuQ_brzURjT6cN0nOf8kTncRx3wU-3pdyjndDR-eWv5aJiin43k8cwUR_oF_TXPqxpV7hxG9OeMxk_0R9xwH_KBeKWrtCkULhqlrPPe-iKLrxZh1jer8mL3gwZ39ydJ-Tn-der-bdqdXmxnM9WleVSysrYXkjHDGNCWVSmFc6pruFnDmwvhbFt0zSicwqg6Y3pBLe2tqJTnYQOlKtPyOeDd7vrRnS2zJDMoLfJjybd6mi8flwJfqPX8UZLEIzVTRF8uBOk-HuHedKjzxaHwQSMu6x5w2ouWmC8oO8PqE0x54T9_TcM9D4zfciskO8ednXP_Q-pAOwAYNnNjceksy37t-h8KsloF_0T6V9rLqGl</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>Li, Dasheng</creator><creator>Wang, Dawei</creator><creator>Wang, Nana</creator><creator>Xu, Haiwang</creator><creator>Huang, He</creator><creator>Dong, Jianping</creator><creator>Xia, Chen</creator><general>Elsevier B.V</general><general>Chinese Academy Medical Sciences. 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Chest CT examination is considered to be complementary to nucleic acid test for COVID-19 detection and diagnosis. We report the first community infected COVID-19 patient by an imported case in Beijing, which manifested as nodular lesions on chest CT imaging at the early stage. Deep Learning (DL)-based diagnostic systems quantitatively monitored the progress of pulmonary lesions in 6 days and timely made alert for suspected pneumonia, so that prompt medical isolation was taken. The patient was confirmed as COVID-19 case after nucleic acid test, for which the community transmission was prevented timely. The roles of DL-assisted diagnosis in helping radiologists screening suspected COVID cases were discussed.</abstract><cop>China</cop><pub>Elsevier B.V</pub><pmid>33853711</pmid><doi>10.24920/003788</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Chinese medical sciences journal, 2021-03, Vol.36 (1), p.66-71 |
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| subjects | Adult Beijing Case Report Community-Acquired Infections - diagnostic imaging computed tomography coronavirus disease 2019 COVID-19 - diagnostic imaging COVID-19 Testing - methods Deep Learning diagnosis Humans imported cases Lung - diagnostic imaging Male Tomography, X-Ray Computed - methods |
| title | An Insight of the First Community Infected COVID-19 Patient in Beijing by Imported Case: Role of Deep Learning-Assisted CT Diagnosis |
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