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

01-12-2020 | Computed Tomography | Original Article

Chest CT in COVID-19 pneumonia: what are the findings in mid-term follow-up?

Authors: Seyed Mohammad Hossein Tabatabaei, Hamid Rajebi, Fahimeh Moghaddas, Mojtaba Ghasemiadl, Hamidreza Talari

Published in: Emergency Radiology | Issue 6/2020

Login to get access

Abstract

Purpose

The purposes of this study are to investigate mid-term chest computed tomography (CT) findings of coronavirus disease 2019 (COVID-19) pneumonia, assess the rate of complete resolution, and determine the individuals at risk for residual abnormalities.

Methods

Fifty-two cases of COVID-19 pneumonia with at least two chest CTs and mean 3-month interval between the initial and follow-up CT were enrolled in this retrospective study. Patients were categorized into two groups: complete resolution and residual disease on follow-up CT. Demographic, clinical, laboratory, and therapeutic data as well as initial and follow-up chest CT scans were compared and analyzed.

Results

Thirty patients (57.7%) demonstrate complete resolution of pulmonary findings, and 22 patients (42.3%) had residual disease on follow-up CT. The mean time interval between initial and follow-up CT was 91.3 ± 17.2 and 90.6 ± 14.3 days in the complete resolution and residual groups, respectively. The most common radiologic pattern in residual disease was ground-glass opacities (54.5%), followed by mixed ground-glass and subpleural parenchymal bands (31.8%), and pure parenchymal bands (13.7%). Compared to complete resolution group, patients with residual disease had higher CT severity score on initial exam (10.3 ± 5.4 vs. 7.3 ± 4.6, P value = 0.036), longer duration of hospitalization, higher rate of intensive care unit (ICU) admission, more underlying medical conditions, higher initial WBC count, and higher occurrence rate of leukocytosis in the hospitalization time period (all P values < 0.05).

Conclusion

Extensive lung involvement on initial CT, ICU admission, long duration of hospitalization, presence of underlying medical conditions, high initial WBC count, and development of leukocytosis during the course of disease are associated with more prevalence of chronic lung sequela of COVID-19.
Literature
10.
go back to reference Vernuccio F, Giambelluca D, Cannella R, Lombardo FP, Panzuto F, Midiri M, Cabassa P (2020) Radiographic and chest CT imaging presentation and follow-up of COVID-19 pneumonia: a multicenter experience from an endemic area. Emerg Radiol 11:1–10 Vernuccio F, Giambelluca D, Cannella R, Lombardo FP, Panzuto F, Midiri M, Cabassa P (2020) Radiographic and chest CT imaging presentation and follow-up of COVID-19 pneumonia: a multicenter experience from an endemic area. Emerg Radiol 11:1–10
23.
go back to reference Simpson S, Kay FU, Abbara S, Bhalla S, Chung JH, Chung M, Henry TS, Kanne JP, Kligerman S, Ko JP, Litt H (2020) 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. Radiology: Cardiothoracic Imaging 2(2):e200152 Simpson S, Kay FU, Abbara S, Bhalla S, Chung JH, Chung M, Henry TS, Kanne JP, Kligerman S, Ko JP, Litt H (2020) 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. Radiology: Cardiothoracic Imaging 2(2):e200152
26.
go back to reference Zhao YM, Shang YM, Song WB, Li QQ, Xie H, Xu QF, Jia JL, Li LM, Mao HL, Zhou XM, Luo H, Gao YF, Xu AG (2020) Follow-up study of the pulmonary function and related physiological characteristics of COVID-19 survivors three months after recovery. EClinicalMedicine. 25:100463CrossRef Zhao YM, Shang YM, Song WB, Li QQ, Xie H, Xu QF, Jia JL, Li LM, Mao HL, Zhou XM, Luo H, Gao YF, Xu AG (2020) Follow-up study of the pulmonary function and related physiological characteristics of COVID-19 survivors three months after recovery. EClinicalMedicine. 25:100463CrossRef
27.
go back to reference Wynants L, Van Calster B, Bonten MM, Collins GS, Debray TP, De Vos M, Haller MC, Heinze G, Moons KG, Riley RD, Schuit E (2020) Prediction models for diagnosis and prognosis of COVID-19 infection: systematic review and critical appraisal. Bmj. 369. https://doi.org/10.1136/bmj.m1328 Wynants L, Van Calster B, Bonten MM, Collins GS, Debray TP, De Vos M, Haller MC, Heinze G, Moons KG, Riley RD, Schuit E (2020) Prediction models for diagnosis and prognosis of COVID-19 infection: systematic review and critical appraisal. Bmj. 369. https://​doi.​org/​10.​1136/​bmj.​m1328
Metadata
Title
Chest CT in COVID-19 pneumonia: what are the findings in mid-term follow-up?
Authors
Seyed Mohammad Hossein Tabatabaei
Hamid Rajebi
Fahimeh Moghaddas
Mojtaba Ghasemiadl
Hamidreza Talari
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/s10140-020-01869-z

Other articles of this Issue 6/2020

Emergency Radiology 6/2020 Go to the issue