Skip to main content
Top
Published in: Emergency Radiology 6/2020

01-12-2020 | Computed Tomography | Original Article

High-resolution computed tomography finding in 552 patients with symptomatic COVID-19: first report from north of Iran

Authors: Hadi Majidi, Elham-Sadat Bani-Mostafavi, Zahra Mardanshahi, Farnaz Godazandeh, Roya Ghasemian, Keyvan Heydari, Reza Alizadeh-Navaei

Published in: Emergency Radiology | Issue 6/2020

Login to get access

Abstract

Purpose

Due to the emergence of the new coronavirus 2019 and the lack of sufficient information about infected patients, this study was conducted to investigate the chest high-resolution computed tomography (HRCT) findings of patients infected with the new coronavirus 2019.

Methods

This cross-sectional study was performed on COVID-19 patients referred to Medical Imaging Centers of Sari, Mazandaran, Iran, on March 2020 for computed tomography (CT) scan. Symptomatic patients were referred to the Medical Imaging Center for diagnosis confirmation through CT scan. In addition to age and sex, HRCT findings were collected from the picture archiving and communication system (PACS) for further evaluations.

Results

Out of 552 patients with mean age of 51.2 ± 14.8 years, the male/female ratio was 1.38 to 1. The most common expressive findings in patients were ground-glass opacity (GGO) (87.3%), peripheral distribution (82.4%), and posterior distribution (81.5%). The most conflicting findings in patients were pleural effusion (7.6%), peribronchovascular distribution (7.6%), and lymphadenopathy (5.1%). The peripheral distribution (p = 0.034), round opacities (p = 0.02), single lobe (p = 0.003), and pleural effusion (p = 0.037) were significant in people under and over 50 years of age.

Conclusion

In summary, the present study indicated that in addition to GGO, peripheral distribution findings could be a vital diagnostic choice in COVID-19 patients.
Literature
3.
go back to reference Lu R, Zhao X, Li J, Niu P, Yang B, Wu H, Wang W, Song H, Huang B, Zhu N, Bi Y, Ma X, Zhan F, Wang L, Hu T, Zhou H, Hu Z, Zhou W, Zhao L, Chen J, Meng Y, Wang J, Lin Y, Yuan J, Xie Z, Ma J, Liu WJ, Wang D, Xu W, Holmes EC, Gao GF, Wu G, Chen W, Shi W, Tan W (2020) Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet 395(10224):565–574. https://doi.org/10.1016/S0140-6736(20)30251-8CrossRefPubMedPubMedCentral Lu R, Zhao X, Li J, Niu P, Yang B, Wu H, Wang W, Song H, Huang B, Zhu N, Bi Y, Ma X, Zhan F, Wang L, Hu T, Zhou H, Hu Z, Zhou W, Zhao L, Chen J, Meng Y, Wang J, Lin Y, Yuan J, Xie Z, Ma J, Liu WJ, Wang D, Xu W, Holmes EC, Gao GF, Wu G, Chen W, Shi W, Tan W (2020) Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet 395(10224):565–574. https://​doi.​org/​10.​1016/​S0140-6736(20)30251-8CrossRefPubMedPubMedCentral
8.
go back to reference Rodriguez-Morales AJ, Cardona-Ospina JA, Gutiérrez-Ocampo E, Villamizar-Peña R, Holguin-Rivera Y, Escalera-Antezana JP, Alvarado-Arnez LE, Bonilla-Aldana DK, Franco-Paredes C, Henao-Martinez AF, Paniz-Mondolfi A, Lagos-Grisales GJ, Ramírez-Vallejo E, Suárez JA, Zambrano LI, Villamil-Gómez WE, Balbin-Ramon GJ, Rabaan AA, Harapan H, Dhama K, Nishiura H, Kataoka H, Ahmad T, Sah R, Latin American Network of Coronavirus Disease 2019-COVID-19 Research (LANCOVID-19) (2020) Clinical, laboratory and imaging features of COVID-19: a systematic review and meta-analysis. Travel Med Infect Dis 101623:101623. https://doi.org/10.1016/j.tmaid.2020.101623CrossRef Rodriguez-Morales AJ, Cardona-Ospina JA, Gutiérrez-Ocampo E, Villamizar-Peña R, Holguin-Rivera Y, Escalera-Antezana JP, Alvarado-Arnez LE, Bonilla-Aldana DK, Franco-Paredes C, Henao-Martinez AF, Paniz-Mondolfi A, Lagos-Grisales GJ, Ramírez-Vallejo E, Suárez JA, Zambrano LI, Villamil-Gómez WE, Balbin-Ramon GJ, Rabaan AA, Harapan H, Dhama K, Nishiura H, Kataoka H, Ahmad T, Sah R, Latin American Network of Coronavirus Disease 2019-COVID-19 Research (LANCOVID-19) (2020) Clinical, laboratory and imaging features of COVID-19: a systematic review and meta-analysis. Travel Med Infect Dis 101623:101623. https://​doi.​org/​10.​1016/​j.​tmaid.​2020.​101623CrossRef
17.
go back to reference Bai HX, Hsieh B, Xiong Z, Halsey K, Choi JW, Tran TML, Pan I, Shi LB, Wang DC, Mei J, Jiang XL, Zeng QH, Egglin TK, Hu PF, Agarwal S, Xie F, Li S, Healey T, Atalay MK, Liao WH (2020) Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT. Radiology. 200823:200823. https://doi.org/10.1148/radiol.2020200823CrossRef Bai HX, Hsieh B, Xiong Z, Halsey K, Choi JW, Tran TML, Pan I, Shi LB, Wang DC, Mei J, Jiang XL, Zeng QH, Egglin TK, Hu PF, Agarwal S, Xie F, Li S, Healey T, Atalay MK, Liao WH (2020) Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT. Radiology. 200823:200823. https://​doi.​org/​10.​1148/​radiol.​2020200823CrossRef
Metadata
Title
High-resolution computed tomography finding in 552 patients with symptomatic COVID-19: first report from north of Iran
Authors
Hadi Majidi
Elham-Sadat Bani-Mostafavi
Zahra Mardanshahi
Farnaz Godazandeh
Roya Ghasemian
Keyvan Heydari
Reza Alizadeh-Navaei
Publication date
01-12-2020
Publisher
Springer International Publishing
Published in
Emergency Radiology / Issue 6/2020
Print ISSN: 1070-3004
Electronic ISSN: 1438-1435
DOI
https://doi.org/10.1007/s10140-020-01819-9

Other articles of this Issue 6/2020

Emergency Radiology 6/2020 Go to the issue