Correlation between Clinical Outcome and Computed Tomography Findings in Coronavirus Disease 2019
Objective: To analyze the differences in chest computed tomography (CT) findings in patients infected with Omicron strain BF.7 of coronavirus disease 2019 (COVID-19) with different clinical outcomes, and to improve the understanding of COVID-19 imaging. Methods: The features of chest CT images from...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Editorial Office of Computerized Tomography Theory and Application
2023-09-01
|
Series: | CT Lilun yu yingyong yanjiu |
Subjects: | |
Online Access: | https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2023.048 |
_version_ | 1827808089041010688 |
---|---|
author | Jun CHAI Danyan LIANG Xiaolan WANG Jianhua ZHAO |
author_facet | Jun CHAI Danyan LIANG Xiaolan WANG Jianhua ZHAO |
author_sort | Jun CHAI |
collection | DOAJ |
description | Objective: To analyze the differences in chest computed tomography (CT) findings in patients infected with Omicron strain BF.7 of coronavirus disease 2019 (COVID-19) with different clinical outcomes, and to improve the understanding of COVID-19 imaging. Methods: The features of chest CT images from 126 patients infected with Omicron BF.7 strain at the People's Hospital of Inner Mongolia Autonomous Region were retrospectively analyzed, and divided into ‘group A’ (not serious) and ‘group B’ (serious) according to whether they progressed to critically ill patients. There were 103 cases in group A, including 65 males and 38 females, with an average age of (73.98±11.53) years. There were 23 patients in group B, including 16 males and 7 females, with an average age of (73.43±12.53) years old. The differences in age, gender, and chest CT lesion distribution, density, and lung lobe involvement were compared between the two groups. Results: All 126 COVID-19 patients had an epidemiological history, and there was no statistical significance in age and sexes between the two groups. The volume proportion of lesions in the upper and lower lobes of the left lung, the upper, middle, and lower lobes of the right lung, and both lungs in group B was higher than that in group A. The lesions were primarily ground glass shadow and consolidation, and the range was larger than group A. Conclusion: The age and chest CT findings of patients who developed severe COVID-19 are different from those who do not. The analysis of imaging characteristics can provide reference for clinical diagnosis, treatment, and prognostic assessment. |
first_indexed | 2024-03-11T22:06:46Z |
format | Article |
id | doaj.art-46bdb06165c74b2cb0717c1bbb231a76 |
institution | Directory Open Access Journal |
issn | 1004-4140 |
language | English |
last_indexed | 2024-03-11T22:06:46Z |
publishDate | 2023-09-01 |
publisher | Editorial Office of Computerized Tomography Theory and Application |
record_format | Article |
series | CT Lilun yu yingyong yanjiu |
spelling | doaj.art-46bdb06165c74b2cb0717c1bbb231a762023-09-25T03:10:58ZengEditorial Office of Computerized Tomography Theory and ApplicationCT Lilun yu yingyong yanjiu1004-41402023-09-0132562162610.15953/j.ctta.2023.0482023.048Correlation between Clinical Outcome and Computed Tomography Findings in Coronavirus Disease 2019Jun CHAIDanyan LIANGXiaolan WANG0Jianhua ZHAOInner Mongolia Clinical Medical College of Inner Mongolia Medical University/Inner Mongolia Clinical Medical College of Baotou Medical College, Hohhot 010017, ChinaObjective: To analyze the differences in chest computed tomography (CT) findings in patients infected with Omicron strain BF.7 of coronavirus disease 2019 (COVID-19) with different clinical outcomes, and to improve the understanding of COVID-19 imaging. Methods: The features of chest CT images from 126 patients infected with Omicron BF.7 strain at the People's Hospital of Inner Mongolia Autonomous Region were retrospectively analyzed, and divided into ‘group A’ (not serious) and ‘group B’ (serious) according to whether they progressed to critically ill patients. There were 103 cases in group A, including 65 males and 38 females, with an average age of (73.98±11.53) years. There were 23 patients in group B, including 16 males and 7 females, with an average age of (73.43±12.53) years old. The differences in age, gender, and chest CT lesion distribution, density, and lung lobe involvement were compared between the two groups. Results: All 126 COVID-19 patients had an epidemiological history, and there was no statistical significance in age and sexes between the two groups. The volume proportion of lesions in the upper and lower lobes of the left lung, the upper, middle, and lower lobes of the right lung, and both lungs in group B was higher than that in group A. The lesions were primarily ground glass shadow and consolidation, and the range was larger than group A. Conclusion: The age and chest CT findings of patients who developed severe COVID-19 are different from those who do not. The analysis of imaging characteristics can provide reference for clinical diagnosis, treatment, and prognostic assessment.https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2023.048tomographyx-ray computedcoronavirus disease 2019 |
spellingShingle | Jun CHAI Danyan LIANG Xiaolan WANG Jianhua ZHAO Correlation between Clinical Outcome and Computed Tomography Findings in Coronavirus Disease 2019 CT Lilun yu yingyong yanjiu tomography x-ray computed coronavirus disease 2019 |
title | Correlation between Clinical Outcome and Computed Tomography Findings in Coronavirus Disease 2019 |
title_full | Correlation between Clinical Outcome and Computed Tomography Findings in Coronavirus Disease 2019 |
title_fullStr | Correlation between Clinical Outcome and Computed Tomography Findings in Coronavirus Disease 2019 |
title_full_unstemmed | Correlation between Clinical Outcome and Computed Tomography Findings in Coronavirus Disease 2019 |
title_short | Correlation between Clinical Outcome and Computed Tomography Findings in Coronavirus Disease 2019 |
title_sort | correlation between clinical outcome and computed tomography findings in coronavirus disease 2019 |
topic | tomography x-ray computed coronavirus disease 2019 |
url | https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2023.048 |
work_keys_str_mv | AT junchai correlationbetweenclinicaloutcomeandcomputedtomographyfindingsincoronavirusdisease2019 AT danyanliang correlationbetweenclinicaloutcomeandcomputedtomographyfindingsincoronavirusdisease2019 AT xiaolanwang correlationbetweenclinicaloutcomeandcomputedtomographyfindingsincoronavirusdisease2019 AT jianhuazhao correlationbetweenclinicaloutcomeandcomputedtomographyfindingsincoronavirusdisease2019 |