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Chest CT features of coronavirus disease-19 (COVID-19) pneumonia: which findings on initial CT can predict an adverse short-term outcome?
OBJECTIVE: To study the spectrum of chest CT features in coronavirus disease-19 (COVID-19) pneumonia and to identify the initial CT findings that may have the potential to predict a poor short-term outcome. METHODS: This was a retrospective study comprising 211 reverse transcriptase-polymerase chain...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The British Institute of Radiology.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594891/ https://www.ncbi.nlm.nih.gov/pubmed/33178976 http://dx.doi.org/10.1259/bjro.20200016 |
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author | Parry, Arshed Hussain Wani, Abdul Haseeb Shah, Naveed Nazir Yaseen, Mudasira Jehangir, Majid |
author_facet | Parry, Arshed Hussain Wani, Abdul Haseeb Shah, Naveed Nazir Yaseen, Mudasira Jehangir, Majid |
author_sort | Parry, Arshed Hussain |
collection | PubMed |
description | OBJECTIVE: To study the spectrum of chest CT features in coronavirus disease-19 (COVID-19) pneumonia and to identify the initial CT findings that may have the potential to predict a poor short-term outcome. METHODS: This was a retrospective study comprising 211 reverse transcriptase-polymerase chain reaction (RT-PCR) positive patients who had undergone non-contrast chest CT. Prevalence, extent, pattern, distribution and type of abnormal lung findings were recorded. Patients with positive CT findings were divided into two groups; clinically stable (requiring in-ward hospitalization) and clinically unstable [requiring intensive care unit (ICU) admission or demised] based on short-term follow-up. RESULTS: Lung parenchymal abnormalities were present in 42.2% (89/211) whereas 57.8% (122/211) cases had a normal chest CT. The mean age of clinically unstable patients (63.6 ± 8.3 years) was significantly different from the clinically stable group (44.6 ± 13.2 years) (p-value < 0.05). Bilaterality, combined involvement of central–peripheral and anteroposterior lung along with a higher percentage of the total lung involvement, presence of crazy paving, coalescent consolidations with air bronchogram and segmental pulmonary vessel enlargement were found in a significantly higher proportion of clinically unstable group (ICU/demised) compared to the stable group (in-ward hospitalization) with all p values < 0.05. CONCLUSION: Certain imaging findings on initial CT have the potential to predict short-term outcome in COVID-19 pneumonia. Extensive pulmonary abnormalities, evaluated by combined anteroposterior, central–peripheral and a higher percentage of the total lung involvement, indicate a poor short-term outcome. Similarly, the presence of crazy paving pattern, consolidation with air bronchogram and segmental vascular changes are also indicators of poor short-term outcome. ADVANCES IN KNOWLEDGE: Certain findings on initial CT can predict an adverse short-term prognosis in COVID-19 pneumonia. |
format | Online Article Text |
id | pubmed-7594891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The British Institute of Radiology. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75948912020-11-10 Chest CT features of coronavirus disease-19 (COVID-19) pneumonia: which findings on initial CT can predict an adverse short-term outcome? Parry, Arshed Hussain Wani, Abdul Haseeb Shah, Naveed Nazir Yaseen, Mudasira Jehangir, Majid BJR Open Original Research OBJECTIVE: To study the spectrum of chest CT features in coronavirus disease-19 (COVID-19) pneumonia and to identify the initial CT findings that may have the potential to predict a poor short-term outcome. METHODS: This was a retrospective study comprising 211 reverse transcriptase-polymerase chain reaction (RT-PCR) positive patients who had undergone non-contrast chest CT. Prevalence, extent, pattern, distribution and type of abnormal lung findings were recorded. Patients with positive CT findings were divided into two groups; clinically stable (requiring in-ward hospitalization) and clinically unstable [requiring intensive care unit (ICU) admission or demised] based on short-term follow-up. RESULTS: Lung parenchymal abnormalities were present in 42.2% (89/211) whereas 57.8% (122/211) cases had a normal chest CT. The mean age of clinically unstable patients (63.6 ± 8.3 years) was significantly different from the clinically stable group (44.6 ± 13.2 years) (p-value < 0.05). Bilaterality, combined involvement of central–peripheral and anteroposterior lung along with a higher percentage of the total lung involvement, presence of crazy paving, coalescent consolidations with air bronchogram and segmental pulmonary vessel enlargement were found in a significantly higher proportion of clinically unstable group (ICU/demised) compared to the stable group (in-ward hospitalization) with all p values < 0.05. CONCLUSION: Certain imaging findings on initial CT have the potential to predict short-term outcome in COVID-19 pneumonia. Extensive pulmonary abnormalities, evaluated by combined anteroposterior, central–peripheral and a higher percentage of the total lung involvement, indicate a poor short-term outcome. Similarly, the presence of crazy paving pattern, consolidation with air bronchogram and segmental vascular changes are also indicators of poor short-term outcome. ADVANCES IN KNOWLEDGE: Certain findings on initial CT can predict an adverse short-term prognosis in COVID-19 pneumonia. The British Institute of Radiology. 2020-06-19 /pmc/articles/PMC7594891/ /pubmed/33178976 http://dx.doi.org/10.1259/bjro.20200016 Text en © 2020 The Authors. Published by the British Institute of Radiology This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Original Research Parry, Arshed Hussain Wani, Abdul Haseeb Shah, Naveed Nazir Yaseen, Mudasira Jehangir, Majid Chest CT features of coronavirus disease-19 (COVID-19) pneumonia: which findings on initial CT can predict an adverse short-term outcome? |
title | Chest CT features of coronavirus disease-19 (COVID-19) pneumonia: which findings on initial CT can predict an adverse short-term outcome? |
title_full | Chest CT features of coronavirus disease-19 (COVID-19) pneumonia: which findings on initial CT can predict an adverse short-term outcome? |
title_fullStr | Chest CT features of coronavirus disease-19 (COVID-19) pneumonia: which findings on initial CT can predict an adverse short-term outcome? |
title_full_unstemmed | Chest CT features of coronavirus disease-19 (COVID-19) pneumonia: which findings on initial CT can predict an adverse short-term outcome? |
title_short | Chest CT features of coronavirus disease-19 (COVID-19) pneumonia: which findings on initial CT can predict an adverse short-term outcome? |
title_sort | chest ct features of coronavirus disease-19 (covid-19) pneumonia: which findings on initial ct can predict an adverse short-term outcome? |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594891/ https://www.ncbi.nlm.nih.gov/pubmed/33178976 http://dx.doi.org/10.1259/bjro.20200016 |
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