CovidV1, an2020, Analysis, bibRecord, 000448

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

Identifieur interne : 000448 ( an2020/Analysis ); précédent : 000447; suivant : 000449

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

Auteurs : Tao Ai ; Zhenlu Yang ; Hongyan Hou ; Chenao Zhan ; Chong Chen ; Wenzhi Lv ; Qian Tao ; Ziyong Sun ; Liming Xia

Source :

Radiology [ 1527-1315 ] ; 2020.

RBID : pubmed:32101510

Abstract

Background Chest CT is used for diagnosis of 2019 novel coronavirus disease (COVID-19), as an important complement to the reverse-transcription polymerase chain reaction (RT-PCR) tests. Purpose To investigate the diagnostic value and consistency of chest CT as compared with comparison to RT-PCR assay in COVID-19. Methods From January 6 to February 6, 2020, 1014 patients in Wuhan, China who underwent both chest CT and RT-PCR tests were included. With RT-PCR as reference standard, the performance of chest CT in diagnosing COVID-19 was assessed. Besides, for patients with multiple RT-PCR assays, the dynamic conversion of RT-PCR results (negative to positive, positive to negative, respectively) was analyzed as compared with serial chest CT scans for those with time-interval of 4 days or more. Results Of 1014 patients, 59% (601/1014) had positive RT-PCR results, and 88% (888/1014) had positive chest CT scans. The sensitivity of chest CT in suggesting COVID-19 was 97% (95%CI, 95-98%, 580/601 patients) based on positive RT-PCR results. In patients with negative RT-PCR results, 75% (308/413) had positive chest CT findings; of 308, 48% were considered as highly likely cases, with 33% as probable cases. By analysis of serial RT-PCR assays and CT scans, the mean interval time between the initial negative to positive RT-PCR results was 5.1 ± 1.5 days; the initial positive to subsequent negative RT-PCR result was 6.9 ± 2.3 days). 60% to 93% of cases had initial positive CT consistent with COVID-19 prior (or parallel) to the initial positive RT-PCR results. 42% (24/57) cases showed improvement in follow-up chest CT scans before the RT-PCR results turning negative. Conclusion Chest CT has a high sensitivity for diagnosis of COVID-19. Chest CT may be considered as a primary tool for the current COVID-19 detection in epidemic areas.

DOI: 10.1148/radiol.2020200642
PubMed: 32101510

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pubmed:32101510

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<sourceDesc><biblStruct><analytic><title xml:lang="en">Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases.</title>
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<affiliation><nlm:affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China (T.A., Z.Y., C.Z.,C.C., L.X.), and Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China (H.H., Z.S.), Department of Artificial Intelligence, Julei Technology Company, Wuhan, 430030, China (W.L.), Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.).</nlm:affiliation>
<wicri:noCountry code="subField">the Netherlands (Q.T.).</wicri:noCountry>
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<author><name sortKey="Yang, Zhenlu" sort="Yang, Zhenlu" uniqKey="Yang Z" first="Zhenlu" last="Yang">Zhenlu Yang</name>
<affiliation><nlm:affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China (T.A., Z.Y., C.Z.,C.C., L.X.), and Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China (H.H., Z.S.), Department of Artificial Intelligence, Julei Technology Company, Wuhan, 430030, China (W.L.), Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.).</nlm:affiliation>
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<author><name sortKey="Hou, Hongyan" sort="Hou, Hongyan" uniqKey="Hou H" first="Hongyan" last="Hou">Hongyan Hou</name>
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<author><name sortKey="Zhan, Chenao" sort="Zhan, Chenao" uniqKey="Zhan C" first="Chenao" last="Zhan">Chenao Zhan</name>
<affiliation><nlm:affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China (T.A., Z.Y., C.Z.,C.C., L.X.), and Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China (H.H., Z.S.), Department of Artificial Intelligence, Julei Technology Company, Wuhan, 430030, China (W.L.), Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.).</nlm:affiliation>
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<author><name sortKey="Chen, Chong" sort="Chen, Chong" uniqKey="Chen C" first="Chong" last="Chen">Chong Chen</name>
<affiliation><nlm:affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China (T.A., Z.Y., C.Z.,C.C., L.X.), and Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China (H.H., Z.S.), Department of Artificial Intelligence, Julei Technology Company, Wuhan, 430030, China (W.L.), Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.).</nlm:affiliation>
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<author><name sortKey="Lv, Wenzhi" sort="Lv, Wenzhi" uniqKey="Lv W" first="Wenzhi" last="Lv">Wenzhi Lv</name>
<affiliation><nlm:affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China (T.A., Z.Y., C.Z.,C.C., L.X.), and Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China (H.H., Z.S.), Department of Artificial Intelligence, Julei Technology Company, Wuhan, 430030, China (W.L.), Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.).</nlm:affiliation>
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<author><name sortKey="Tao, Qian" sort="Tao, Qian" uniqKey="Tao Q" first="Qian" last="Tao">Qian Tao</name>
<affiliation><nlm:affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China (T.A., Z.Y., C.Z.,C.C., L.X.), and Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China (H.H., Z.S.), Department of Artificial Intelligence, Julei Technology Company, Wuhan, 430030, China (W.L.), Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.).</nlm:affiliation>
<wicri:noCountry code="subField">the Netherlands (Q.T.).</wicri:noCountry>
</affiliation>
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<author><name sortKey="Sun, Ziyong" sort="Sun, Ziyong" uniqKey="Sun Z" first="Ziyong" last="Sun">Ziyong Sun</name>
<affiliation><nlm:affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China (T.A., Z.Y., C.Z.,C.C., L.X.), and Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China (H.H., Z.S.), Department of Artificial Intelligence, Julei Technology Company, Wuhan, 430030, China (W.L.), Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.).</nlm:affiliation>
<wicri:noCountry code="subField">the Netherlands (Q.T.).</wicri:noCountry>
</affiliation>
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<author><name sortKey="Xia, Liming" sort="Xia, Liming" uniqKey="Xia L" first="Liming" last="Xia">Liming Xia</name>
<affiliation><nlm:affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China (T.A., Z.Y., C.Z.,C.C., L.X.), and Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China (H.H., Z.S.), Department of Artificial Intelligence, Julei Technology Company, Wuhan, 430030, China (W.L.), Division of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (Q.T.).</nlm:affiliation>
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<front><div type="abstract" xml:lang="en">Background Chest CT is used for diagnosis of 2019 novel coronavirus disease (COVID-19), as an important complement to the reverse-transcription polymerase chain reaction (RT-PCR) tests. Purpose To investigate the diagnostic value and consistency of chest CT as compared with comparison to RT-PCR assay in COVID-19. Methods From January 6 to February 6, 2020, 1014 patients in Wuhan, China who underwent both chest CT and RT-PCR tests were included. With RT-PCR as reference standard, the performance of chest CT in diagnosing COVID-19 was assessed. Besides, for patients with multiple RT-PCR assays, the dynamic conversion of RT-PCR results (negative to positive, positive to negative, respectively) was analyzed as compared with serial chest CT scans for those with time-interval of 4 days or more. Results Of 1014 patients, 59% (601/1014) had positive RT-PCR results, and 88% (888/1014) had positive chest CT scans. The sensitivity of chest CT in suggesting COVID-19 was 97% (95%CI, 95-98%, 580/601 patients) based on positive RT-PCR results. In patients with negative RT-PCR results, 75% (308/413) had positive chest CT findings; of 308, 48% were considered as highly likely cases, with 33% as probable cases. By analysis of serial RT-PCR assays and CT scans, the mean interval time between the initial negative to positive RT-PCR results was 5.1 ± 1.5 days; the initial positive to subsequent negative RT-PCR result was 6.9 ± 2.3 days). 60% to 93% of cases had initial positive CT consistent with COVID-19 prior (or parallel) to the initial positive RT-PCR results. 42% (24/57) cases showed improvement in follow-up chest CT scans before the RT-PCR results turning negative. Conclusion Chest CT has a high sensitivity for diagnosis of COVID-19. Chest CT may be considered as a primary tool for the current COVID-19 detection in epidemic areas.</div>
</front>
</TEI>
<affiliations><list></list>
<tree><noCountry><name sortKey="Ai, Tao" sort="Ai, Tao" uniqKey="Ai T" first="Tao" last="Ai">Tao Ai</name>
<name sortKey="Chen, Chong" sort="Chen, Chong" uniqKey="Chen C" first="Chong" last="Chen">Chong Chen</name>
<name sortKey="Hou, Hongyan" sort="Hou, Hongyan" uniqKey="Hou H" first="Hongyan" last="Hou">Hongyan Hou</name>
<name sortKey="Lv, Wenzhi" sort="Lv, Wenzhi" uniqKey="Lv W" first="Wenzhi" last="Lv">Wenzhi Lv</name>
<name sortKey="Sun, Ziyong" sort="Sun, Ziyong" uniqKey="Sun Z" first="Ziyong" last="Sun">Ziyong Sun</name>
<name sortKey="Tao, Qian" sort="Tao, Qian" uniqKey="Tao Q" first="Qian" last="Tao">Qian Tao</name>
<name sortKey="Xia, Liming" sort="Xia, Liming" uniqKey="Xia L" first="Liming" last="Xia">Liming Xia</name>
<name sortKey="Yang, Zhenlu" sort="Yang, Zhenlu" uniqKey="Yang Z" first="Zhenlu" last="Yang">Zhenlu Yang</name>
<name sortKey="Zhan, Chenao" sort="Zhan, Chenao" uniqKey="Zhan C" first="Chenao" last="Zhan">Chenao Zhan</name>
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Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases.

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

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