The Spectrum of CT Findings of COVID-19 Pneumonia: Acute Alveolar Insult and Organizing Pneumonia as Different Phases of Lung Injury and Repair

Purpose To analyze the findings and serial changes in chest CT lesions in 123 symptomatic patients with coronavirus disease 2019 (COVID-19). Materials and Methods From February 19 to April 7, 2020, a total of 123 confirmed COVID-19 patients (male, 44; female, 79; mean age, 59.2 ± 18.6) were enrol...

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Main Authors: Yun Su Kim, Ung Rae Kang, Young Hwan Kim
Format: Article
Language:English
Published: The Korean Society of Radiology 2021-03-01
Series:대한영상의학회지
Subjects:
Online Access:https://doi.org/10.3348/jksr.2020.0142
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spelling doaj-a2ec436127d84a66bd975af3c21b1c3a2021-03-31T01:38:13ZengThe Korean Society of Radiology대한영상의학회지2288-29282021-03-01822359370https://doi.org/10.3348/jksr.2020.0142The Spectrum of CT Findings of COVID-19 Pneumonia: Acute Alveolar Insult and Organizing Pneumonia as Different Phases of Lung Injury and RepairYun Su Kim0Ung Rae Kang1Young Hwan Kim2Department of Radiology, Daegu Catholic University Medical Center, Catholic University of Daegu College of Medicine, Daegu, KoreaDepartment of Radiology, Daegu Catholic University Medical Center, Catholic University of Daegu College of Medicine, Daegu, KoreaDepartment of Radiology, Daegu Catholic University Medical Center, Catholic University of Daegu College of Medicine, Daegu, KoreaPurpose To analyze the findings and serial changes in chest CT lesions in 123 symptomatic patients with coronavirus disease 2019 (COVID-19). Materials and Methods From February 19 to April 7, 2020, a total of 123 confirmed COVID-19 patients (male, 44; female, 79; mean age, 59.2 ± 18.6) were enrolled in this retrospective study. A total of 234 CT scans were reviewed for the following patterns: acute alveolar insult (AAI) patterns: ground-glass opacity (GGO), crazy-paving appearance, mixed pattern, and consolidation; organizing pneumonia (OP) patterns: perilobular patterns, band opacity, curvilinear opacity, reversed halo opacity, and small nodular consolidation; resolving patterns: pure GGO, remnant curvilinear, small nodular consolidation, and serial changes of lung abnormalities. We compared the proportions of AAI pattern, OP pattern, or resolving pattern with time progression and analyzed the association between the patterns and disease severity using Pearson chi-square and Fisher’s exact test. Results Predominant CT patterns were AAI pattern (87%) in the early hospital period group (0- 10 days, after the onset of symptoms), OP pattern (45.7%) in the later hospital period group (after 10 days), and resolving pattern in discharge and follow-up group (47.2% and 84.8%, respectively). The difference in the proportions of predominant CT patterns with time progression was statistically significant (p < 0.001, Pearson’s chi-square test). No statistically significant association was observed between the patterns and disease severity (p = 0.055, Fisher’s exact test). No fibrous changes in the lesions were observed on follow-up CT scans. Conclusion The serial CT scans of COVID-19 patients showed the spectrum of COVID pneumonia CT manifestations as different phases of lung injury and repair.https://doi.org/10.3348/jksr.2020.0142computed tomographyx-raycovid-19acute lung injurypneumonia
collection DOAJ
language English
format Article
sources DOAJ
author Yun Su Kim
Ung Rae Kang
Young Hwan Kim
spellingShingle Yun Su Kim
Ung Rae Kang
Young Hwan Kim
The Spectrum of CT Findings of COVID-19 Pneumonia: Acute Alveolar Insult and Organizing Pneumonia as Different Phases of Lung Injury and Repair
대한영상의학회지
computed tomography
x-ray
covid-19
acute lung injury
pneumonia
author_facet Yun Su Kim
Ung Rae Kang
Young Hwan Kim
author_sort Yun Su Kim
title The Spectrum of CT Findings of COVID-19 Pneumonia: Acute Alveolar Insult and Organizing Pneumonia as Different Phases of Lung Injury and Repair
title_short The Spectrum of CT Findings of COVID-19 Pneumonia: Acute Alveolar Insult and Organizing Pneumonia as Different Phases of Lung Injury and Repair
title_full The Spectrum of CT Findings of COVID-19 Pneumonia: Acute Alveolar Insult and Organizing Pneumonia as Different Phases of Lung Injury and Repair
title_fullStr The Spectrum of CT Findings of COVID-19 Pneumonia: Acute Alveolar Insult and Organizing Pneumonia as Different Phases of Lung Injury and Repair
title_full_unstemmed The Spectrum of CT Findings of COVID-19 Pneumonia: Acute Alveolar Insult and Organizing Pneumonia as Different Phases of Lung Injury and Repair
title_sort spectrum of ct findings of covid-19 pneumonia: acute alveolar insult and organizing pneumonia as different phases of lung injury and repair
publisher The Korean Society of Radiology
series 대한영상의학회지
issn 2288-2928
publishDate 2021-03-01
description Purpose To analyze the findings and serial changes in chest CT lesions in 123 symptomatic patients with coronavirus disease 2019 (COVID-19). Materials and Methods From February 19 to April 7, 2020, a total of 123 confirmed COVID-19 patients (male, 44; female, 79; mean age, 59.2 ± 18.6) were enrolled in this retrospective study. A total of 234 CT scans were reviewed for the following patterns: acute alveolar insult (AAI) patterns: ground-glass opacity (GGO), crazy-paving appearance, mixed pattern, and consolidation; organizing pneumonia (OP) patterns: perilobular patterns, band opacity, curvilinear opacity, reversed halo opacity, and small nodular consolidation; resolving patterns: pure GGO, remnant curvilinear, small nodular consolidation, and serial changes of lung abnormalities. We compared the proportions of AAI pattern, OP pattern, or resolving pattern with time progression and analyzed the association between the patterns and disease severity using Pearson chi-square and Fisher’s exact test. Results Predominant CT patterns were AAI pattern (87%) in the early hospital period group (0- 10 days, after the onset of symptoms), OP pattern (45.7%) in the later hospital period group (after 10 days), and resolving pattern in discharge and follow-up group (47.2% and 84.8%, respectively). The difference in the proportions of predominant CT patterns with time progression was statistically significant (p < 0.001, Pearson’s chi-square test). No statistically significant association was observed between the patterns and disease severity (p = 0.055, Fisher’s exact test). No fibrous changes in the lesions were observed on follow-up CT scans. Conclusion The serial CT scans of COVID-19 patients showed the spectrum of COVID pneumonia CT manifestations as different phases of lung injury and repair.
topic computed tomography
x-ray
covid-19
acute lung injury
pneumonia
url https://doi.org/10.3348/jksr.2020.0142
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