High Resolution Computed Tomography Chest Findings in Patients with Positive RT-PCR of Covid-19: Computer tomography findings Covid-19 patients

Arooma  Afzaal; Syed Muhammad  Yousaf Farooq; Faisal  Ehsan Cheema; . Mahnoor; Nimra  Yousaf; Misbah  Karim; Awon  Abbas Malik

doi:10.54393/pbmj.v5i7.607

Authors

Arooma Afzaal University Institute of Radiological Sciences and Medical Imaging Technology, Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan
Syed Muhammad Yousaf Farooq University Institute of Radiological Sciences and Medical Imaging Technology, Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan
Faisal Ehsan Cheema University Institute of Radiological Sciences and Medical Imaging Technology, Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan
. Mahnoor University Institute of Radiological Sciences and Medical Imaging Technology, Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan
Nimra Yousaf University Institute of Radiological Sciences and Medical Imaging Technology, Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan
Misbah Karim University Institute of Radiological Sciences and Medical Imaging Technology, Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan
Awon Abbas Malik University Institute of Radiological Sciences and Medical Imaging Technology, Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan

DOI:

https://doi.org/10.54393/pbmj.v5i7.607

Keywords:

COVID-19, high resolution computed tomography, ground glass opacities, mixed patterns, atelectasis, crazing paving

Abstract

High-resolution CT chest abnormalities in patients with higher RT-PCR among those with COVID-19 have been poorly studied. It remained unknown what mechanism was responsible for the rise in COVID-19 cases. Objective: Observations from high-resolution chest CT scans in patients with a negative RT-PCR for COVID-19. Methods: A total of 400 male and female samples were collected using a simple random sampling method. The research method used was a descriptive one. The researchers used CT scans and in-depth interviews to compile their data. The current version of SPSS (21.0.0) was utilized for the statistical analysis. Results: There were a total of 245 men and 155 females in the sample pool for this investigation. COVID-19 was present in all of these patients. Based on the findings of the study, the patients were diagnosed with respiratory symptoms as fever, breathlessness, and cough. High resolution computed CT revealed, however, that these patients also have Ground glass opacities, heterogeneous patterns, septal thickening, consolidations, and pleural effusion. The patient population also included smokers. Conclusion: High-resolution computed CT results consistent with COVID-19 infection were found to include ground glassware opacities, mixed patterning, septal thickness, restructurings, CORAD classifications, nodules, bronchiectasis, crazy paving, and pleural effusion. Negative RT-PCR results in people with COVID-19 symptoms (such as cough, illness, fever, and shortness of breath) received little to no attention. The HRCT should be used for the overall diagnosis of COVID-19, and this should be the centre of learning and treatment for the population that tested negative with the RT-PCR.

References

Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020 Feb; 395(10223):507-513. doi: 10.1016/S0140-6736(20)30211-7.

Wu P, Hao X, Lau EHY, Wong JY, Leung KSM, Wu JT, et al. Real-time tentative assessment of the epidemiological characteristics of novel coronavirus infections in Wuhan, China, as at 22 January 2020. Eurosurveillance. 2020 Jan; 25(3):2000044. doi: 10.2807/1560-7917.ES.2020.25.3.2000044.

de Wit E, van Doremalen N, Falzarano D, Munster VJ. SARS and MERS: recent insights into emerging coronaviruses. Nature Reviews Microbiology. 2016 Aug; 14(8):523-34. doi: 10.1038/nrmicro.2016.81.

Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. nature. 2020 Mar; 579(7798):270-3. Doi: 10.1038/s41586-020-2012-7.

Chen Y, Liu Q, Guo D. Emerging coronaviruses: Genome structure, replication, and pathogenesis. Journal of Medical Virology. 2020 Apr; 92(4):418-423. doi: 10.1002/jmv.25681.

Tripp RA, Tompkins SM, editors. Roles of host gene and non-coding RNA expression in virus infection. Switzerland: Springer International Publishing; 2018 Dec. Doi: 10.1007/978-3-030-05369-7.

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 Feb; 395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5.

World Health Organization. Clinical management of severe acute respiratory infection (SARI) when COVID-19 disease is suspected: interim guidance, 13 March 2020. World Health Organization; 2020.

Wang W, Tang J, Wei F. Updated understanding of the outbreak of 2019 novel coronavirus (2019-nCoV) in Wuhan, China. Journal of Medical Virology. 2020 Apr;9 2(4):441-447. doi: 10.1002/jmv.25689.

Wu W, Wang A, Liu M. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020; 395(10223):497-506. Doi: 10.1016/S0140-6736(20)30183-5.

Yang Y, Yang M, Shen C, Wang F, Yuan J, Li J, et al. Laboratory diagnosis and monitoring the viral shedding of 2019-nCoV infections. MedRxiv. 2020.

Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, et al. Clinical characteristics of coronavirus disease 2019 in China. New England journal of medicine. 2020 Apr 30;382(18):1708-20. Doi: 10.1056/NEJMoa2002032.

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 Aug;296(2):E32-E40. doi: 10.1148/radiol.2020200642.

Alhazzani W, Møller MH, Arabi YM, Loeb M, Gong MN, Fan E, et al. Surviving Sepsis Campaign: guidelines on the management of critically ill adults with Coronavirus Disease 2019 (COVID-19). Intensive Care Medicine. 2020 May;46(5):854-887. doi: 10.1007/s00134-020-06022-5.

Khaliq M, Raja R, Khan N, Hanif H. An Analysis of High-Resolution Computed Tomography Chest Manifestations of COVID-19 Patients in Pakistan. Cureus. 2020 Jul; 12(7):e9373. doi: 10.7759/cureus.9373.

Wan S, Xiang Y, Fang W, Zheng Y, Li B, Hu Y, et al. Clinical features and treatment of COVID-19 patients in northeast Chongqing. Journal of Medical Virology. 2020 Jul; 92(7):797-806. doi: 10.1002/jmv.25783.

Yoon SH, Lee KH, Kim JY, Lee YK, Ko H, Kim KH, et al. Chest Radiographic and CT Findings of the 2019 Novel Coronavirus Disease (COVID-19): Analysis of Nine Patients Treated in Korea. Korean Journal of Radiology. 2020 Apr; 21(4):494-500. doi: 10.3348/kjr.2020.0132.

Mohamed YG, Mohamud MF, Medişoğlu MS, Atamaca IY, Ali IH. Clinical and chest CT presentations from 27 patients with COVID-19 pneumonia in Mogadishu, Somalia: a descriptive study. Egyptian Journal of Radiology and Nuclear Medicine. 2020 Dec; 51(1):1-6. Doi: 10.1186/s43055-020-00302-2.

Chen D, Jiang X, Hong Y, Wen Z, Wei S, Peng G, et al. Can Chest CT Features Distinguish Patients With Negative From Those With Positive Initial RT-PCR Results for Coronavirus Disease (COVID-19)? American Journal of Roentgenology. 2021 Jan; 216(1):66-70. doi: 10.2214/AJR.20.23012.

Zhao W, Zhong Z, Xie X, Yu Q, Liu J. Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Study. American Journal of Roentgenology. 2020 May; 214(5):1072-1077. doi: 10.2214/AJR.20.22976