Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

Background Chest CT is used in the diagnosis of coronavirus disease 2019 (COVID-19) and is an important complement to reverse-transcription polymerase chain reaction (RT-PCR) tests. Purpose To investigate the diagnostic value and consistency of chest CT as compared with RT-PCR assay in COVID-19. Mat...

Full description

Saved in:
Bibliographic Details
Published inRadiology Vol. 296; no. 2; p. E32
Main Authors Ai, Tao, Yang, Zhenlu, Hou, Hongyan, Zhan, Chenao, Chen, Chong, Lv, Wenzhi, Tao, Qian, Sun, Ziyong, Xia, Liming
Format Journal Article
LanguageEnglish
Published United States Radiological Society of North America 01.08.2020
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Background Chest CT is used in the diagnosis of coronavirus disease 2019 (COVID-19) and is an important complement to reverse-transcription polymerase chain reaction (RT-PCR) tests. Purpose To investigate the diagnostic value and consistency of chest CT as compared with RT-PCR assay in COVID-19. Materials and Methods This study included 1014 patients in Wuhan, China, who underwent both chest CT and RT-PCR tests between January 6 and February 6, 2020. With use of RT-PCR as the reference standard, the performance of chest CT in the diagnosis of COVID-19 was assessed. In addition, for patients with multiple RT-PCR assays, the dynamic conversion of RT-PCR results (negative to positive, positive to negative) was analyzed as compared with serial chest CT scans for those with a time interval between RT-PCR tests of 4 days or more. Results Of the 1014 patients, 601 of 1014 (59%) had positive RT-PCR results and 888 of 1014 (88%) had positive chest CT scans. The sensitivity of chest CT in suggesting COVID-19 was 97% (95% confidence interval: 95%, 98%; 580 of 601 patients) based on positive RT-PCR results. In the 413 patients with negative RT-PCR results, 308 of 413 (75%) had positive chest CT findings. Of those 308 patients, 48% (103 of 308) were considered as highly likely cases and 33% (103 of 308) as probable cases. At analysis of serial RT-PCR assays and CT scans, the mean interval between the initial negative to positive RT-PCR results was 5.1 days ± 1.5; the mean interval between initial positive to subsequent negative RT-PCR results was 6.9 days ± 2.3. Of the 1014 patients, 60% (34 of 57) to 93% (14 of 15) had initial positive CT scans consistent with COVID-19 before (or parallel to) the initial positive RT-PCR results. Twenty-four of 57 patients (42%) showed improvement on follow-up chest CT scans before the RT-PCR results turned negative. Conclusion Chest CT has a high sensitivity for diagnosis of coronavirus disease 2019 (COVID-19). Chest CT may be considered as a primary tool for the current COVID-19 detection in epidemic areas. © RSNA, 2020 ترجمه چکیده این مقاله به فارسی، در ضمیمه موجود است.
AbstractList Background Chest CT is used in the diagnosis of coronavirus disease 2019 (COVID-19) and is an important complement to reverse-transcription polymerase chain reaction (RT-PCR) tests. Purpose To investigate the diagnostic value and consistency of chest CT as compared with RT-PCR assay in COVID-19. Materials and Methods This study included 1014 patients in Wuhan, China, who underwent both chest CT and RT-PCR tests between January 6 and February 6, 2020. With use of RT-PCR as the reference standard, the performance of chest CT in the diagnosis of COVID-19 was assessed. In addition, for patients with multiple RT-PCR assays, the dynamic conversion of RT-PCR results (negative to positive, positive to negative) was analyzed as compared with serial chest CT scans for those with a time interval between RT-PCR tests of 4 days or more. Results Of the 1014 patients, 601 of 1014 (59%) had positive RT-PCR results and 888 of 1014 (88%) had positive chest CT scans. The sensitivity of chest CT in suggesting COVID-19 was 97% (95% confidence interval: 95%, 98%; 580 of 601 patients) based on positive RT-PCR results. In the 413 patients with negative RT-PCR results, 308 of 413 (75%) had positive chest CT findings. Of those 308 patients, 48% (103 of 308) were considered as highly likely cases and 33% (103 of 308) as probable cases. At analysis of serial RT-PCR assays and CT scans, the mean interval between the initial negative to positive RT-PCR results was 5.1 days ± 1.5; the mean interval between initial positive to subsequent negative RT-PCR results was 6.9 days ± 2.3. Of the 1014 patients, 60% (34 of 57) to 93% (14 of 15) had initial positive CT scans consistent with COVID-19 before (or parallel to) the initial positive RT-PCR results. Twenty-four of 57 patients (42%) showed improvement on follow-up chest CT scans before the RT-PCR results turned negative. Conclusion Chest CT has a high sensitivity for diagnosis of coronavirus disease 2019 (COVID-19). Chest CT may be considered as a primary tool for the current COVID-19 detection in epidemic areas. © RSNA, 2020 Online supplemental material is available for this article. A translation of this abstract in Farsi is available in the supplement. ترجمه چکیده این مقاله به فارسی، در ضمیمه موجود است.Background Chest CT is used in the diagnosis of coronavirus disease 2019 (COVID-19) and is an important complement to reverse-transcription polymerase chain reaction (RT-PCR) tests. Purpose To investigate the diagnostic value and consistency of chest CT as compared with RT-PCR assay in COVID-19. Materials and Methods This study included 1014 patients in Wuhan, China, who underwent both chest CT and RT-PCR tests between January 6 and February 6, 2020. With use of RT-PCR as the reference standard, the performance of chest CT in the diagnosis of COVID-19 was assessed. In addition, for patients with multiple RT-PCR assays, the dynamic conversion of RT-PCR results (negative to positive, positive to negative) was analyzed as compared with serial chest CT scans for those with a time interval between RT-PCR tests of 4 days or more. Results Of the 1014 patients, 601 of 1014 (59%) had positive RT-PCR results and 888 of 1014 (88%) had positive chest CT scans. The sensitivity of chest CT in suggesting COVID-19 was 97% (95% confidence interval: 95%, 98%; 580 of 601 patients) based on positive RT-PCR results. In the 413 patients with negative RT-PCR results, 308 of 413 (75%) had positive chest CT findings. Of those 308 patients, 48% (103 of 308) were considered as highly likely cases and 33% (103 of 308) as probable cases. At analysis of serial RT-PCR assays and CT scans, the mean interval between the initial negative to positive RT-PCR results was 5.1 days ± 1.5; the mean interval between initial positive to subsequent negative RT-PCR results was 6.9 days ± 2.3. Of the 1014 patients, 60% (34 of 57) to 93% (14 of 15) had initial positive CT scans consistent with COVID-19 before (or parallel to) the initial positive RT-PCR results. Twenty-four of 57 patients (42%) showed improvement on follow-up chest CT scans before the RT-PCR results turned negative. Conclusion Chest CT has a high sensitivity for diagnosis of coronavirus disease 2019 (COVID-19). Chest CT may be considered as a primary tool for the current COVID-19 detection in epidemic areas. © RSNA, 2020 Online supplemental material is available for this article. A translation of this abstract in Farsi is available in the supplement. ترجمه چکیده این مقاله به فارسی، در ضمیمه موجود است.
Background Chest CT is used in the diagnosis of coronavirus disease 2019 (COVID-19) and is an important complement to reverse-transcription polymerase chain reaction (RT-PCR) tests. Purpose To investigate the diagnostic value and consistency of chest CT as compared with RT-PCR assay in COVID-19. Materials and Methods This study included 1014 patients in Wuhan, China, who underwent both chest CT and RT-PCR tests between January 6 and February 6, 2020. With use of RT-PCR as the reference standard, the performance of chest CT in the diagnosis of COVID-19 was assessed. In addition, for patients with multiple RT-PCR assays, the dynamic conversion of RT-PCR results (negative to positive, positive to negative) was analyzed as compared with serial chest CT scans for those with a time interval between RT-PCR tests of 4 days or more. Results Of the 1014 patients, 601 of 1014 (59%) had positive RT-PCR results and 888 of 1014 (88%) had positive chest CT scans. The sensitivity of chest CT in suggesting COVID-19 was 97% (95% confidence interval: 95%, 98%; 580 of 601 patients) based on positive RT-PCR results. In the 413 patients with negative RT-PCR results, 308 of 413 (75%) had positive chest CT findings. Of those 308 patients, 48% (103 of 308) were considered as highly likely cases and 33% (103 of 308) as probable cases. At analysis of serial RT-PCR assays and CT scans, the mean interval between the initial negative to positive RT-PCR results was 5.1 days ± 1.5; the mean interval between initial positive to subsequent negative RT-PCR results was 6.9 days ± 2.3. Of the 1014 patients, 60% (34 of 57) to 93% (14 of 15) had initial positive CT scans consistent with COVID-19 before (or parallel to) the initial positive RT-PCR results. Twenty-four of 57 patients (42%) showed improvement on follow-up chest CT scans before the RT-PCR results turned negative. Conclusion Chest CT has a high sensitivity for diagnosis of coronavirus disease 2019 (COVID-19). Chest CT may be considered as a primary tool for the current COVID-19 detection in epidemic areas. © RSNA, 2020 ترجمه چکیده این مقاله به فارسی، در ضمیمه موجود است.
Author Chen, Chong
Tao, Qian
Sun, Ziyong
Lv, Wenzhi
Hou, Hongyan
Xia, Liming
Zhan, Chenao
Ai, Tao
Yang, Zhenlu
Author_xml – sequence: 1
  givenname: Tao
  orcidid: 0000-0002-3735-7500
  surname: Ai
  fullname: Ai, Tao
  organization: From the Departments of Radiology (T.A., Z.Y., C.Z., C.C., L.X.) and Laboratory Medicine (H.H., Z.S.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Qiaokou District, Wuhan, Hubei 430030, China; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China (W.L.); and Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.)
– sequence: 2
  givenname: Zhenlu
  orcidid: 0000-0003-4646-2799
  surname: Yang
  fullname: Yang, Zhenlu
  organization: From the Departments of Radiology (T.A., Z.Y., C.Z., C.C., L.X.) and Laboratory Medicine (H.H., Z.S.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Qiaokou District, Wuhan, Hubei 430030, China; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China (W.L.); and Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.)
– sequence: 3
  givenname: Hongyan
  surname: Hou
  fullname: Hou, Hongyan
  organization: From the Departments of Radiology (T.A., Z.Y., C.Z., C.C., L.X.) and Laboratory Medicine (H.H., Z.S.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Qiaokou District, Wuhan, Hubei 430030, China; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China (W.L.); and Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.)
– sequence: 4
  givenname: Chenao
  surname: Zhan
  fullname: Zhan, Chenao
  organization: From the Departments of Radiology (T.A., Z.Y., C.Z., C.C., L.X.) and Laboratory Medicine (H.H., Z.S.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Qiaokou District, Wuhan, Hubei 430030, China; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China (W.L.); and Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.)
– sequence: 5
  givenname: Chong
  orcidid: 0000-0001-7385-8073
  surname: Chen
  fullname: Chen, Chong
  organization: From the Departments of Radiology (T.A., Z.Y., C.Z., C.C., L.X.) and Laboratory Medicine (H.H., Z.S.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Qiaokou District, Wuhan, Hubei 430030, China; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China (W.L.); and Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.)
– sequence: 6
  givenname: Wenzhi
  orcidid: 0000-0002-4083-1779
  surname: Lv
  fullname: Lv, Wenzhi
  organization: From the Departments of Radiology (T.A., Z.Y., C.Z., C.C., L.X.) and Laboratory Medicine (H.H., Z.S.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Qiaokou District, Wuhan, Hubei 430030, China; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China (W.L.); and Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.)
– sequence: 7
  givenname: Qian
  orcidid: 0000-0001-7480-0703
  surname: Tao
  fullname: Tao, Qian
  organization: From the Departments of Radiology (T.A., Z.Y., C.Z., C.C., L.X.) and Laboratory Medicine (H.H., Z.S.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Qiaokou District, Wuhan, Hubei 430030, China; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China (W.L.); and Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.)
– sequence: 8
  givenname: Ziyong
  surname: Sun
  fullname: Sun, Ziyong
  organization: From the Departments of Radiology (T.A., Z.Y., C.Z., C.C., L.X.) and Laboratory Medicine (H.H., Z.S.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Qiaokou District, Wuhan, Hubei 430030, China; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China (W.L.); and Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.)
– sequence: 9
  givenname: Liming
  orcidid: 0000-0001-8481-3380
  surname: Xia
  fullname: Xia, Liming
  organization: From the Departments of Radiology (T.A., Z.Y., C.Z., C.C., L.X.) and Laboratory Medicine (H.H., Z.S.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Qiaokou District, Wuhan, Hubei 430030, China; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China (W.L.); and Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.)
BackLink https://www.ncbi.nlm.nih.gov/pubmed/32101510$$D View this record in MEDLINE/PubMed
BookMark eNpVkFtLAzEQhYNUvFR_gC-SR33YmsllLz4IZesNCkpZfV3SbtKmbJOa7Bb890a8oMzDDDNnvgPnGA2sswqhMyAjAJ5fedkY144o-SyScrqHjkDQLAEGYvBnPkTHIawJAS7y7AAdMgoEBJAjFErnvWplZ5zFTuNypUKHywpL2-BZlTyXM1zFlbFLrJ3HUe6s3BnfBzwxQcmgMCVQ4Ivy6fVxkkBxiY2NGGPlNR7jmdo6332SoyPHZdSHE7SvZRvU6Xcfope726p8SKZP94_leJqsWSa6RAoBWkBDFFUipTpnmQbGG5YyAgoWKiWEM5bmjSKN5nMuuCY605mg8WORsyG6-eJu-_lGNQtlOy_beuvNRvr32klT_79Ys6qXbldnlDFWFBFw8Q3w7q2PKdQbExaqbaVVrg81ZWmaspwXWZSe__X6NflJmn0AWnl_pQ
ContentType Journal Article
Copyright 2020 by the Radiological Society of North America, Inc. 2020
Copyright_xml – notice: 2020 by the Radiological Society of North America, Inc. 2020
DBID CGR
CUY
CVF
ECM
EIF
NPM
7X8
5PM
DOI 10.1148/radiol.2020200642
DatabaseName Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic
MEDLINE
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 1527-1315
ExternalDocumentID PMC7233399
32101510
Genre Journal Article
Comparative Study
GeographicLocations China
GeographicLocations_xml – name: China
GroupedDBID ---
.55
.GJ
123
18M
1CY
1KJ
29P
2WC
34G
39C
4.4
53G
5RE
6NX
6PF
7FM
AAEJM
AAQQT
AAWTL
ABDPE
ABHFT
ABOCM
ACFQH
ACGFO
ACJAN
ADBBV
AENEX
AENYM
AFFNX
AFOSN
AJJEV
AJWWR
ALMA_UNASSIGNED_HOLDINGS
BAWUL
CGR
CS3
CUY
CVF
DIK
DU5
E3Z
EBS
ECM
EIF
EJD
F5P
F9R
GX1
H13
J5H
KO8
L7B
LMP
LSO
MJL
MV1
N4W
NPM
OK1
P2P
R.V
RKKAF
RXW
SJN
TAE
TR2
TRS
TWZ
W8F
WH7
WOQ
X7M
YQI
YQJ
ZGI
ZVN
ZXP
7X8
5PM
ID FETCH-LOGICAL-j375t-a551f51d0e2e562f837f134d36301e1ce60043368de0df4b454f0f7f752e2ec83
ISSN 1527-1315
0033-8419
IngestDate Thu Aug 21 18:12:33 EDT 2025
Fri Jul 11 12:12:57 EDT 2025
Mon Jul 21 05:49:56 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 2
Language English
License This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-j375t-a551f51d0e2e562f837f134d36301e1ce60043368de0df4b454f0f7f752e2ec83
Notes ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ORCID 0000-0001-8481-3380
0000-0001-7480-0703
0000-0002-3735-7500
0000-0001-7385-8073
0000-0002-4083-1779
0000-0003-4646-2799
OpenAccessLink https://pubmed.ncbi.nlm.nih.gov/PMC7233399
PMID 32101510
PQID 2366638497
PQPubID 23479
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_7233399
proquest_miscellaneous_2366638497
pubmed_primary_32101510
PublicationCentury 2000
PublicationDate 2020-08-01
PublicationDateYYYYMMDD 2020-08-01
PublicationDate_xml – month: 08
  year: 2020
  text: 2020-08-01
  day: 01
PublicationDecade 2020
PublicationPlace United States
PublicationPlace_xml – name: United States
PublicationTitle Radiology
PublicationTitleAlternate Radiology
PublicationYear 2020
Publisher Radiological Society of North America
Publisher_xml – name: Radiological Society of North America
References 32447034 - Radiother Oncol. 2020 Jun;147:151-152. doi: 10.1016/j.radonc.2020.05.028
32265036 - Clin Radiol. 2020 May;75(5):329-334. doi: 10.1016/j.crad.2020.03.008
33348386 - Rofo. 2021 Jul;193(7):832-834. doi: 10.1055/a-1309-2140
32407257 - Radiology. 2020 Sep;296(3):E193-E194. doi: 10.1148/radiol.2020201845
33079001 - Radiology. 2020 Dec;297(3):E345. doi: 10.1148/radiol.2020203792
32375883 - Crit Care. 2020 May 6;24(1):193. doi: 10.1186/s13054-020-02908-4
References_xml – reference: 32375883 - Crit Care. 2020 May 6;24(1):193. doi: 10.1186/s13054-020-02908-4
– reference: 32407257 - Radiology. 2020 Sep;296(3):E193-E194. doi: 10.1148/radiol.2020201845
– reference: 32447034 - Radiother Oncol. 2020 Jun;147:151-152. doi: 10.1016/j.radonc.2020.05.028
– reference: 32265036 - Clin Radiol. 2020 May;75(5):329-334. doi: 10.1016/j.crad.2020.03.008
– reference: 33079001 - Radiology. 2020 Dec;297(3):E345. doi: 10.1148/radiol.2020203792
– reference: 33348386 - Rofo. 2021 Jul;193(7):832-834. doi: 10.1055/a-1309-2140
SSID ssj0014587
Score 2.7405126
Snippet Background Chest CT is used in the diagnosis of coronavirus disease 2019 (COVID-19) and is an important complement to reverse-transcription polymerase chain...
SourceID pubmedcentral
proquest
pubmed
SourceType Open Access Repository
Aggregation Database
Index Database
StartPage E32
SubjectTerms Adolescent
Adult
Aged
Betacoronavirus
Child
Child, Preschool
China
Clinical Laboratory Techniques - methods
Coronavirus Infections - diagnosis
Coronavirus Infections - diagnostic imaging
COVID-19
COVID-19 Testing
Female
Follow-Up Studies
Humans
Male
Middle Aged
Original Research
Pandemics
Pneumonia, Viral - diagnosis
Pneumonia, Viral - diagnostic imaging
Reproducibility of Results
Retrospective Studies
Reverse Transcriptase Polymerase Chain Reaction
SARS-CoV-2
Sensitivity and Specificity
Tomography, X-Ray Computed - methods
Young Adult
Title Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases
URI https://www.ncbi.nlm.nih.gov/pubmed/32101510
https://www.proquest.com/docview/2366638497
https://pubmed.ncbi.nlm.nih.gov/PMC7233399
Volume 296
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3Nb9MwFLfKkBAXxPfKABmJA6hKSWynSbhVodMG-0BTiioORHHssKIpmdoGCf563ou9NGU9DC5R5CZ26vfT8_t-hLyW0pUce4QFGeOOkJo5kYq4o5QKlAhUlCk06B-fjA6m4uPMn_V63zpRS_VKDvPfW_NK_oeqMAZ0xSzZf6BsOykMwD3QF65AYbjeiMYxtta4aIW-GHtfDeLEJB0mzuf4bJBgFQ0bLBljtYLs53xRL7HqJjpmBnAyR40n9_TL4QfHi9BKgImA2FbbZK0bER3nx4a7gxjeWnZF2rNMzTds8-MmQCDJqpajWJv013NdXtQtkKq6Ofeq8vuvNUTRgG3CAHRpZ7A2CbaOiGvZKAscj5tEzaHeMmZ5LzPtbC3IWIeTTozZ8zqHF5i1sGj-2hDXRpuIKdC1WU375DTdnx4dpclkltwitxmoEY3Kffip9TIJv2mg2H6Z9XrDEu-uLbBNA_k7kLYjmST3yT2rUtCxwccD0tPlQ3Ln2AZNPCLLDkxoVdAGJjROKMCEGphQCxMKMKEdmFALE4owoW-uQPKWzkvaQOQ9HVMDEJwZAUIbgDwm0_1JEh84tteG84MH_srJQHIufE-5mmkQiYuQB4XHheIjOAG0l-sR-oz5KFTaVYWQwheFWwRF4DN4Iw_5E7JTVqXeJVRGuecGUc4klgLSLMpEHkodSeGpXISyT15d7WQKvAwdVFmpq3qZMg7KNA9FFPTJU7Oz6aUpupJirhlIp26fBBt73j6AddI3fynn5029dCA8Bzn82Q3W3SN313h-TnZWi1q_AKlzJV820PkDUjF8cA
linkProvider Flying Publisher
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Correlation+of+Chest+CT+and+RT-PCR+Testing+for+Coronavirus+Disease+2019+%28COVID-19%29+in+China%3A+A+Report+of+1014+Cases&rft.jtitle=Radiology&rft.au=Ai%2C+Tao&rft.au=Yang%2C+Zhenlu&rft.au=Hou%2C+Hongyan&rft.au=Zhan%2C+Chenao&rft.date=2020-08-01&rft.issn=1527-1315&rft.eissn=1527-1315&rft.volume=296&rft.issue=2&rft.spage=E32&rft_id=info:doi/10.1148%2Fradiol.2020200642&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1527-1315&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1527-1315&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1527-1315&client=summon