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Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases.
Radiology. 2020 08; 296(2):E32-E40.R

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 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.

Authors+Show Affiliations

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.).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.).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.).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.).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.).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.).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.).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.).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.).

Pub Type(s)

Comparative Study
Journal Article

Language

eng

PubMed ID

32101510

Citation

Ai, Tao, et al. "Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: a Report of 1014 Cases." Radiology, vol. 296, no. 2, 2020, pp. E32-E40.
Ai T, Yang Z, Hou H, et al. Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases. Radiology. 2020;296(2):E32-E40.
Ai, T., Yang, Z., Hou, H., Zhan, C., Chen, C., Lv, W., Tao, Q., Sun, Z., & Xia, L. (2020). Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases. Radiology, 296(2), E32-E40. https://doi.org/10.1148/radiol.2020200642
Ai T, et al. Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: a Report of 1014 Cases. Radiology. 2020;296(2):E32-E40. PubMed PMID: 32101510.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases. AU - Ai,Tao, AU - Yang,Zhenlu, AU - Hou,Hongyan, AU - Zhan,Chenao, AU - Chen,Chong, AU - Lv,Wenzhi, AU - Tao,Qian, AU - Sun,Ziyong, AU - Xia,Liming, Y1 - 2020/02/26/ PY - 2020/2/27/pubmed PY - 2020/8/1/medline PY - 2020/2/27/entrez SP - E32 EP - E40 JF - Radiology JO - Radiology VL - 296 IS - 2 N2 - 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. SN - 1527-1315 UR - https://www.unboundmedicine.com/medline/citation/32101510/full_citation L2 - https://pubs.rsna.org/doi/10.1148/radiol.2020200642?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub=pubmed DB - PRIME DP - Unbound Medicine ER -