Determining the Diagnostic Accuracy of Non-Contrast High-Resolution Computed Tomography Chest Study in COVID-19 Pneumonia Keeping PCR Assay as Gold Standard
DOI:
https://doi.org/10.36570/jduhs.2020.3.1021Keywords:
Diagnostic accuracy, HRCT chest, PCR, sensitivity, specificityAbstract
Objective: To determine the diagnostic accuracy of high-resolution computed tomography (HRCT) chest in determination of corona virus disease (COVID-19) taking polymerase chain reaction (PCR) as gold standard.
Methods: This diagnostic cross-sectional study was conducted at Shifa International Hospital Islamabad (SIH) from February 2020 to April 2020. All patients suspected for COVID 19 pneumonia were consecutively enrolled. Diagnosis was done via both HRCT chest and PCR assay. Patient s demographic characteristics and PCR results were retrieved from hospital database. Diagnostic accuracy was explored by calculating sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and overall diagnostic accuracy.
Results: Of 250 patients, the mean age was 58.5 years +- 14.7 years. HRCT findings in positive scans showed that of 181 patients, majority of the patients presented with multifocal peripheral rounded ground glass opacities (GGOs) with crazy paving observed in 77 (42.5%), multifocal peripheral rounded in GGOs 51 (28.1%), and multifocal peripheral rounded GGOs with crazy paving and consolidations 45 (24.8%). Furthermore, bilateral lungs and multifocal multilobar involvement of lungs was observed in 179 (98.8%) each. While peripheral lung involvement was observed in 176 (97.2%) patients. The sensitivity, specificity, PPV, NPV, and overall diagnostic accuracy of HRCT chest in diagnosing COVID-19 pneumonia was 93.4%, 53.5%, 71.2%, 86.9%, and 75.6% respectively.
Conclusion: HRCT chest has a higher sensitivity and comparable diagnostic accuracy to PCR testing in diagnosing COVID 19 pneumonia and thus in the epidemic areas, it can be used as an important adjunct to PCR testing.
Downloads
References
2. Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, et al. Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med 2020; 382: 1708-20. doi: 10.1056/NEJMoa2002032.
3. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020; 395:497- 506. doi.org/10.1016/S0140-6736(20)30183-5.
4. World Health Organization website. Summary of probable SARS cases with onset of illness from November 2002 to 31 July 2003 (based on data as of December 31, 2003). www.who.int/csr/sars/country/table2004_04_ 21/en/. Accessed January 19, 2020.
5. World Health Organization website. Middle East respiratory syndrome coronavirus (MERS-CoV). www.who.int/emergencies/mers-cov/en/. Accessed January 19, 2020.
6. Ng K, Poon BH, Kiat Puar TH, Shan Quah JL, Loh WJ, Wong YJ, et al. COVID-19 and the Risk to Health Care Workers: A Case Report. Ann Intern Med 2020; 172:766- 7. doi.org/10.7326/L20-0175.
7. Xie X, Zhong Z, Zhao W, Zheng C, Wang F, Liu J. Chest CT for Typical 2019-nCoV Pneumonia: Relationship to Negative RT-PCR Testing. Radiology 2020: 296: 133-138 137 E45. doi 10.1148/radiol.2020200343.
8. World Health Organization. Laboratory testing for 2019 novel coronavirus (2019-nCoV) in suspected human cases. www.int/publications-detail/laboratory-testingfor-2019-novel-coronavirusin-suspected-humancases-20200117.
9. Chan JF, Yuan S, Kok KH, To KK, Chu H, Yang J, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet 2020; 395:514-23. doi.org/10.1016/S0140-6736(20)30154-9.
10. Bernheim A, Mei X, Huang M, Yang Y, Fayad ZA, Zhang N, et al. Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection. Radiology; 2020: 295: 200463. doi.org/10.1148/radiol.2020200463.
11. Li Y, Xia L. Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management. AJR Am J Roentgenol 2020; 214:1280-6. doi: 10.2214/AJR.20.22954.
12. Guan w, Liu J, Yu C. CT findings of Coronavirus disease (COVID-19) severe pneumonia. AJR Am J Roentgenol 2020; 214: W85-W86. doi: 10.2214/AJR.20.23035
13. Shi H, Han X, Jiang N, Cao Y, Alwalid O, Gu J, et al. Radiological findings from 81 patients with COVID- 19 pneumonia in Wuhan, China: a descriptive study. Lancet Infect Dis 2020; 20:425-34. doi.org/10.1016/S1473-3099(20)30086-4.
14. Cruz AT, Zeichner SL. COVID-19 in Children: Initial Characterization of the Pediatric Disease. Pediatrics 2020; 145:e20200834.doi.org/10.1542/peds.2020-0834.
15. Li M, Lei P, Zeng B, Li Z, Yu P, et al. Coronavirus Disease (COVID-19): Spectrum of CT Findings and Temporal Progression of the Disease. Acad Radiol 2020; 27:603- 8.doi: 10.1016/j.acra.2020.03.003.
16. Simpson S, Kay FU, Abbara S, Bhalla S, Chung JH, Chung M, et al. Radiological Society of North America Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19. Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA - Secondary Publication. J Thorac Imaging 2020; 35:219-27. doi: 10.1097/RTI.0000000000000524.
17. Huang P, Liu T, Huang L, Liu H, Lei M, Xu W, Hu X, Chen J, Liu B. Use of Chest CT in Combination with Negative RT-PCR Assay for the 2019 Novel Coronavirus but High Clinical Suspicion. Radiology 2020; 295:22-3. doi: 10.1148/radiol.2020200330.
18. Wu J, Liu J, Zhao X, Liu C, Wang W, Wang D, Xu W, Zhang C, Yu J, Jiang B, Cao H, Li L. Clinical Characteristics of Imported Cases of Coronavirus Disease 2019 (COVID19) in Jiangsu Province: A Multicenter Descriptive S t u d y . C l i n I n f e c t D i s 2 0 2 0 ; 7 1 : 7 0 6 - 1 2 . doi.org/10.1093/cid/ ciaa199.
19. Ai T, Yang Z, Hou H, Zhan C, Chen C, Lv W, 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:E32-E40. doi: 10.1148/radiol.2020200642.
20. Kim H, Hong H, Yoon SH. Diagnostic Performance of CT and Reverse Transcriptase Polymerase Chain Reaction for Coronavirus Disease 2019: A Meta-Analysis. Radiology 2020 ; 296:E145-E155. doi:10.1148/radiol.2020201343.
21. Pan F, Ye T, Sun P, Gui S, Liang B, Li L, et al. Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19). Radiology 2020; 295: 715-21. doi: 10.1148/radiol.2020200370.
22. He JL, Luo L, Luo ZD, Lyu JX, Ng MY, Shen XP, et al. Diagnostic performance between CT and initial realtime RT-PCR for clinically suspected 2019 coronavirus disease (COVID-19) patients outside Wuhan, China. Respir Med 2020; 168:105980. doi: 10.1016/j.rmed.2020.105980.
23. Qureshi AR, Akhtar Z, Irfan M, Sajid M, Ashraf Z. Diagnostic value of HRCT-Thorax for pandemic COVID19 pneumonia in Pakistan. Journal of Rawalpindi Medical College 2020; 24:77-84. doi.org/10.37939/jrmc.v24iSupp-1.1443.
24. Schultz CH, Fairley R, Murphy LS, Doss M. The Risk of Cancer from CT Scans and Other Sources of Low-Dose Radiation: A Critical Appraisal of Methodologic Quality. Prehosp Disaster Med 2020; 35:3-16. doi:10.1017/S1049023X1900520X.
Additional Files
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Maria rauf
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Articles published in the Journal of Dow University of Health Sciences are distributed under the terms of the Creative Commons Attribution Non-Commercial License https://creativecommons.org/ licenses/by-nc/4.0/. This license permits use, distribution and reproduction in any medium; provided the original work is properly cited and initial publication in this journal.