Descriptive Analysis of Chest Computed Tomography Scan in Coronavirus Disease 2019 Pneumonia: Correlation with Reverse Transcription-polymerase Chain Reaction and Clinical Features

Authors

  • Rusli Muljadi Department of Radiology, Faculty of Medicine, University of Pelita Harapan, Tangerang, Banten, Indonesia
  • Mira Yuniarti Department of Radiology, Faculty of Medicine, University of Pelita Harapan, Tangerang, Banten, Indonesia
  • Ricardo Tan Department of Radiology, Faculty of Medicine, University of Pelita Harapan, Tangerang, Banten, Indonesia
  • Teodorus Alfons Pratama Department of Radiology, Faculty of Medicine, University of Pelita Harapan, Tangerang, Banten, Indonesia https://orcid.org/0000-0002-0042-0158
  • Ignatius Bima Prasetya Department of Internal Medicine, Faculty of Medicine, University of Pelita Harapan, Tangerang, Banten, Indonesia
  • Allen Widysanto Department of Respirology, Faculty of Medicine, University of Pelita Harapan, Tangerang, Banten, Indonesia
  • Gilbert Sterling Octavius Department of Radiology, Faculty of Medicine, University of Pelita Harapan, Tangerang, Banten, Indonesia https://orcid.org/0000-0002-6439-6265

DOI:

https://doi.org/10.3889/oamjms.2021.6224

Keywords:

Computed tomography scan, Coronavirus disease 2019, Reverse transcription-polymerase chain reaction; Sensitivity, Specificity

Abstract

BACKGROUND: Reverse transcriptase-polymerase chain reaction (RT-PCR) is the primary diagnostic tool to confirm coronavirus disease 2019 (COVID-2019) due to its high specificity. However, it has relatively low sensitivity and time consuming. In contrast, chest computed tomography (CT) has high sensitivity and achieves quick results. It may, therefore, play a critical role in screening and diagnosing COVID-19. A cross-sectional study was done in 212 patients with confirmed cases and patients under surveillance for COVID-19 tested for RT-PCR and chest CT scan. Statistical analysis was performed using SPSS Version 23 (Statistical Package for the Social Sciences, IBM Corp., Armonk, NY, USA).

AIM: We aim to investigate the diagnostic value of chest CT in correlation to RT-PCR in Indonesia.

METHODS: A cross-sectional study was done in 212 patients with confirmed cases and patients under surveillance for COVID-19 tested for RT-PCR and chest CT scan. Statistical analysis was performed using SPSS Version 23 (Statistical Package for the Social Sciences, IBM Corp., Armonk, NY, USA).

RESULTS: From a total of 212 patients, 92% of them were diagnosed as confirmed cases of COVID-19. It was found that the sensitivity of CT scan for COVID-19 patients was 72.3% (65.5% and 78.5%) with positive predictive value (PPV) of 93.9% (90.9% and 96.0%) and the sensitivity and PPV improve in symptomatic patients. Typical chest CT scan lesions were 8.0 times which were more likely (3.9–16.4; p <0.001) to be detected in symptomatic patients while patients with severe CT scan findings were 4.4 times more likely (3.0–6.5; p <0.001) to be admitted to the intensive care unit.

CONCLUSION: A high PPV suggests that a chest CT scan can detect COVID-19 lesions, but the absence of the lesions would not exclude the disease’s presence.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Plum Analytics Artifact Widget Block

References

World Health Organization. Pneumonia of Unknown Cause-China. Geneva: World Health Organization; 2020. Available from: https://www.who.int/csr/don/05-january-2020-pneumoniaof-unkown-cause-china/en. [Last accessed on 2020 Jul 29].

World Health Organization. Naming the Coronavirus Disease (COVID-19) and the Virus that Causes it. Geneva: World Health Organization; 2020. Available from: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/technicalguidance/naming-the-coronavirus-disease-(covid-2019)-andthe-virus-that-causes-it. [Last accessed on 2020 Jul 29]. https://doi.org/10.1016/j.wneu.2020.03.068 DOI: https://doi.org/10.1016/j.wneu.2020.03.068

World Health Organization. Mission Summary: WHO Field Visit to Wuhan, China. Geneva: World Health Organization; 2020. Available from: https://www.who.int/china/news/detail/22-01-2020-field-visit-wuhan-china-jan-2020. [Last accessed on 2020 Jul 29].

Karam M, Althuwaikh S, Alazemi M, Abul A, Hayre A, Gavin B. Chest CT versus RT-PCR for the detection of COVID-19: Systematic review and meta-analysis of comparative studies. medRxiv. 2020;2020:6846. https://doi.org/10.1101/2020.06.22.20136846 DOI: https://doi.org/10.1101/2020.06.22.20136846

World Health Organization. WHO Director-general’s Opening Remarks at the Media Briefing on COVID-19. Geneva: World Health Organization; 2020. Available from: https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarksat-the-media-briefing-on-covid-19---11-march-2020. [Last accessed on 2020 Mar 11]. https://doi.org/10.1596/35731 DOI: https://doi.org/10.1596/35731

World Health Organization. WHO Coronavirus Disease (COVID-19) Dashboard. Geneva: World Health Organization; 2020. Available from: https://www.covid19.who.int/?gclid=Cj0KCQjwvIT5BRCqARIsAAwwD-R2_g9ENNXUZpwIvd2JE7_68niL7I9q7TBMpqmQth-BcZmvMl2LbBcaAhlIEALw_wcB. [Last accessed on 2020 Jul 27].

Vetter P, Vu DL, LHuillier AG, Schibler M, Kaiser L, Jacquerioz F. Clinical features of covid-19. BMJ. 2020;369:m1470. https://doi.org/10.1136/bmj.m1470 DOI: https://doi.org/10.1136/bmj.m1470

Guan W, Ni Z, Hu Y, Liang W, Ou C, He J, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382(18):1708-20. DOI: https://doi.org/10.1056/NEJMoa2002032

Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: Summary of a report of 72 314 cases from the Chinese center for disease control and prevention. JAMA. 2020;323(13):1239-42. https://doi.org/10.1001/jama.2020.2648 PMid:32091533 DOI: https://doi.org/10.1001/jama.2020.2648

Cascella M, Rajnik M, Cuomo A, Dulebohn S, Di Napoli R. Features, Evaluation and Treatment Coronavirus (COVID-19). StatPearls Publishing; 2020. Available from: https://www.ncbi.nlm.nih.gov/books/NBK554776. [Last accessed on 2020 Jun 28].

Yang Y, Yang M, Shen C, Wang F, Yuan J, Li J, et al. Evaluating the accuracy of different respiratory specimens in the laboratory diagnosis and monitoring the viral shedding of 2019-nCoV infections. MedRxiv. 2020. https://doi.org/10.1101/2020.02.11.20021493 DOI: https://doi.org/10.1101/2020.02.11.20021493

Fang Y, Zhang H, Xie J, Lin M, Ying L, Pang P, et al. Sensitivity of chest CT for COVID-19: Comparison to RT-PCR. Radiology. 2020;296(2):E115-7. https://doi.org/10.1148/radiol.2020200432 PMid:32073353 DOI: https://doi.org/10.1148/radiol.2020200432

Li Y, Xia L. Coronavirus disease 2019 (COVID-19): Role of chest CT in diagnosis and management. AJR Am J Roentgenol 2020;214(6):1280-6. https://doi.org/10.1016/j.ijsu.2020.05.018 PMid:32130038 DOI: https://doi.org/10.2214/AJR.20.22954

Abbasi-Oshaghi E, Mirzaei F, Farahani F, Khodadadi I, Tayebinia H. Diagnosis and treatment of coronavirus disease 2019 (COVID-19): Laboratory, PCR, and chest CT imaging findings. Int J Surg. 2020;79:143-53. PMid:32422384 DOI: https://doi.org/10.1016/j.ijsu.2020.05.018

Ai T, Yang Z, Hou H, Zhan C, Chen C, Lv W, et al. Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: A report of 1014 cases. Radiology. 2020;296(2):E32-40. https://doi.org/10.1148/radiol.2020200642 PMid:32101510 DOI: https://doi.org/10.1148/radiol.2020200642

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. Radiology. 2020;2(2):e200152. https://doi.org/10.1148/ryct.2020200152 DOI: https://doi.org/10.1148/ryct.2020200152

Waller J V, Kaur P, Tucker A, Lin KK, Diaz MJ, Henry TS, et al. Diagnostic tools for coronavirus disease (COVID-19): Comparing CT and RT-PCR viral nucleic acid testing. Am J Roentgenol. 2020;215(4):834-8. https://doi.org/10.2214/ajr.20.23418 PMid:32412790 DOI: https://doi.org/10.2214/AJR.20.23418

Hare SS, Rodrigues JC, Nair A, Jacob J, Upile S, Johnstone A, et al. The continuing evolution of COVID-19 imaging pathways in the UK: A British society of thoracic imaging expert reference group update. Clin Radiol. 2020;75(6):399-404. https://doi.org/10.1016/j.crad.2020.04.002 PMid:32321645 DOI: https://doi.org/10.1016/j.crad.2020.04.002

He JL, Luo L, Luo ZD, Lyu JX, Ng MY, Shen XP, et al. Diagnostic performance between CT and initial real-time RT-PCR for clinically suspected 2019 coronavirus disease (COVID-19) patients outside Wuhan, China. Respir Med. 2020;168:105980. https://doi.org/10.1016/j.rmed.2020.105980 PMid:32364959 DOI: https://doi.org/10.1016/j.rmed.2020.105980

Kementerian Kesehatan Republik Indonesia. Pedoman Pencegahan dan Pengendalian COVID-19. Jakarta: Kementerian Kesehatan Republik Indonesia; 2020. https://doi.org/10.31002/rep.v5i1.2050 DOI: https://doi.org/10.31002/rep.v5i1.2050

Zhou S, Zhu T, Wang Y, Xia L. Imaging features and evolution on CT in 100 COVID-19 pneumonia patients in Wuhan, China. Eur Radiol. 2020;30(10):5446-54. https://doi.org/10.1007/s00330-020-06879-6 PMid:32367418 DOI: https://doi.org/10.1007/s00330-020-06879-6

Wang H, Wei R, Rao G, Zhu J, Song B. Characteristic CT findings distinguishing 2019 novel coronavirus disease (COVID-19) from influenza pneumonia. Eur Radiol. 2020;30(9):4910-7. https://doi.org/10.1007/s00330-020-06880-z PMid:32323011 DOI: https://doi.org/10.1007/s00330-020-06880-z

Smet K, Smet D, Demedts I, Bouckaert B, Ryckaert T, Laridon E, et al. Diagnostic power of chest CT for COVID-19: To screen or not to screen. BMJ. 2020. https://doi.org/10.1101/2020.05.18.20097444 DOI: https://doi.org/10.1101/2020.05.18.20097444

Shatri J, Tafilaj L, Turkaj A, Dedushi K, Shatri M, Bexheti S, et al. The role of chest computed tomography in asymptomatic patients of positive coronavirus disease 2019: A case and literature review. J Clin Imaging Sci. 2020;10:35. https://doi.org/10.25259/jcis_58_2020 PMid:32547838 DOI: https://doi.org/10.25259/JCIS_58_2020

Hu Z, Song C, Xu C, Jin G, Chen Y, Xu X, et al. Clinical characteristics of 24 asymptomatic infections with COVID-19 screened among close contacts in Nanjing, China. Sci China Life Sci. 2020;63(5):706-11. https://doi.org/10.1007/s11427-020-1661-4 PMid:32146694 DOI: https://doi.org/10.1007/s11427-020-1661-4

Meng H, Xiong R, He R, Lin W, Hao B, Zhang L, et al. CT imaging and clinical course of asymptomatic cases with COVID-19 pneumonia at admission in Wuhan, China. J Infect. 2020;81(1):e33-9. https://doi.org/10.1016/j.jinf.2020.04.004 PMid:32294504 DOI: https://doi.org/10.1016/j.jinf.2020.04.004

Chen HJ, Qiu J, Wu B, Huang T, Gao Y, Wang ZP, et al. Early chest CT features of patients with 2019 novel coronavirus (COVID-19) pneumonia: Relationship to diagnosis and prognosis. Eur Radiol. 2020;30(11):6178-85. https://doi.org/10.1007/s00330-020-06978-4 PMid:32518987 DOI: https://doi.org/10.1007/s00330-020-06978-4

Ruch Y, Kaeuffer C, Ohana M, Labani A, Fabacher T, Bilbault P, et al. CT lung lesions as predictors of early death or ICU admission in COVID-19 patients. Clin Microbiol Infect. 2020;26(10):1417. e5-8. https://doi.org/10.1016/j.cmi.2020.07.030 PMid:32717417 DOI: https://doi.org/10.1016/j.cmi.2020.07.030

Chae KJ, Jin GY, Lee CS, Lee HB, Lee JH, Kwon KS. Positive conversion of COVID-19 after two consecutive negative RT-PCR results: A role of low-dose CT. Eur J Radiol. 2020;129:109122. https://doi.org/10.1016/j.ejrad.2020.109122 PMid:32540583 DOI: https://doi.org/10.1016/j.ejrad.2020.109122

Falaschi Z, Danna PS, Arioli R, Pasché A, Zagaria D, Percivale I, et al. Chest CT accuracy in diagnosing COVID-19 during the peak of the Italian epidemic: A retrospective correlation with RT-PCR testing and analysis of discordant cases. Eur J Radiol. 2021;130:109192. https://doi.org/10.1016/j.ejrad.2020.109192 PMid:32738464 DOI: https://doi.org/10.1016/j.ejrad.2020.109192

Arslan S, Delice O, Kahraman M, Yılmaz SI, Aslan MH. Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in Turkey. Ann Clin Anal Med. 2021;12(5):483-7. https://doi.org/10.4328/acam.20310 DOI: https://doi.org/10.4328/ACAM.20310

Caruso D, Zerunian M, Polici M, Pucciarelli F, Polidori T, Rucci C, et al. Chest CT features of COVID-19 in Rome, Italy. Pubs RSNA. 2021;296(2):1237. https://doi.org/10.1148/radiol.2020201237 DOI: https://doi.org/10.1148/radiol.2020201237

Mirahmadizadeh A, Pourmontaseri Z, Afrashteh S, Hosseinzadeh M, Karimi J, Sharafi M. Sensitivity and specificity of chest CT scan based on RT-PCR in COVID-19 diagnosis. Polish J Radiol. 2021;86(1):74-7. https://doi.org/10.5114/pjr.2021.103858 PMid:33708275 DOI: https://doi.org/10.5114/pjr.2021.103858

Downloads

Published

2021-09-11

How to Cite

1.
Muljadi R, Yuniarti M, Tan R, Pratama TA, Prasetya IB, Widysanto A, Octavius GS. Descriptive Analysis of Chest Computed Tomography Scan in Coronavirus Disease 2019 Pneumonia: Correlation with Reverse Transcription-polymerase Chain Reaction and Clinical Features. Open Access Maced J Med Sci [Internet]. 2021 Sep. 11 [cited 2024 Nov. 22];9(B):865-71. Available from: https://oamjms.eu/index.php/mjms/article/view/6224

Issue

Section

Radiology and Radiotherapy

Categories