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Evaluation of chest CT-scan appearances of COVID-19 according to RSNA classification system

BACKGROUND: The Radiologic Society of North America (RSNA) divides patients into four sections: negative, atypical, indeterminate, and typical coronavirus disease 2019 (COVID-19) pneumonia based on their computed tomography (CT) scan findings. Herein, we evaluate the frequency of the chest CT-scan a...

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Autores principales: Arian, Arvin, Gity, Masoumeh, Kolahi, Shahriar, Khani, Sina, Ahmadi, Mehran Arab, Salehi, Mohammadreza, Delazar, Sina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638630/
https://www.ncbi.nlm.nih.gov/pubmed/36353019
http://dx.doi.org/10.4103/jfmpc.jfmpc_8_22
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author Arian, Arvin
Gity, Masoumeh
Kolahi, Shahriar
Khani, Sina
Ahmadi, Mehran Arab
Salehi, Mohammadreza
Delazar, Sina
author_facet Arian, Arvin
Gity, Masoumeh
Kolahi, Shahriar
Khani, Sina
Ahmadi, Mehran Arab
Salehi, Mohammadreza
Delazar, Sina
author_sort Arian, Arvin
collection PubMed
description BACKGROUND: The Radiologic Society of North America (RSNA) divides patients into four sections: negative, atypical, indeterminate, and typical coronavirus disease 2019 (COVID-19) pneumonia based on their computed tomography (CT) scan findings. Herein, we evaluate the frequency of the chest CT-scan appearances of COVID-19 according to each RSNA categorical group. METHODS: A total of 90 patients with real-time reverse transcriptase-polymerase chain reaction (RT-PCR)-confirmed COVID-19 were enrolled in this study and differences in age, sex, cardiac characteristics, and imaging features of lung parenchyma were evaluated in different categories of RSNA classification. RESULTS: According to the RSNA classification 87.8, 5.56, 4.44, and 2.22% of the patients were assigned as typical, indeterminate, atypical, and negative, respectively. The proportion of “atypical” patients was higher in the patients who had mediastinal lymphadenopathy and pleural effusion. Moreover, ground-glass opacity (GGO) and consolidation were more pronounced in the lower lobes and left lung compared to the upper lobes and right lung, respectively. While small nodules were mostly seen in the atypical group, small GGO was associated with the typical group, especially when it is present in the right lung and indeterminate group. CONCLUSION: Regardless of its location, non-round GGO is the most prevalent finding in the typical group of the RSNA classification systems. Mediastinal lymphadenopathy, pleural effusion, and small nodules are mostly observed in the atypical group and small GGO in the right lung is mostly seen in the typical group.
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spelling pubmed-96386302022-11-08 Evaluation of chest CT-scan appearances of COVID-19 according to RSNA classification system Arian, Arvin Gity, Masoumeh Kolahi, Shahriar Khani, Sina Ahmadi, Mehran Arab Salehi, Mohammadreza Delazar, Sina J Family Med Prim Care Original Article BACKGROUND: The Radiologic Society of North America (RSNA) divides patients into four sections: negative, atypical, indeterminate, and typical coronavirus disease 2019 (COVID-19) pneumonia based on their computed tomography (CT) scan findings. Herein, we evaluate the frequency of the chest CT-scan appearances of COVID-19 according to each RSNA categorical group. METHODS: A total of 90 patients with real-time reverse transcriptase-polymerase chain reaction (RT-PCR)-confirmed COVID-19 were enrolled in this study and differences in age, sex, cardiac characteristics, and imaging features of lung parenchyma were evaluated in different categories of RSNA classification. RESULTS: According to the RSNA classification 87.8, 5.56, 4.44, and 2.22% of the patients were assigned as typical, indeterminate, atypical, and negative, respectively. The proportion of “atypical” patients was higher in the patients who had mediastinal lymphadenopathy and pleural effusion. Moreover, ground-glass opacity (GGO) and consolidation were more pronounced in the lower lobes and left lung compared to the upper lobes and right lung, respectively. While small nodules were mostly seen in the atypical group, small GGO was associated with the typical group, especially when it is present in the right lung and indeterminate group. CONCLUSION: Regardless of its location, non-round GGO is the most prevalent finding in the typical group of the RSNA classification systems. Mediastinal lymphadenopathy, pleural effusion, and small nodules are mostly observed in the atypical group and small GGO in the right lung is mostly seen in the typical group. Wolters Kluwer - Medknow 2022-08 2022-08-30 /pmc/articles/PMC9638630/ /pubmed/36353019 http://dx.doi.org/10.4103/jfmpc.jfmpc_8_22 Text en Copyright: © 2022 Journal of Family Medicine and Primary Care https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Arian, Arvin
Gity, Masoumeh
Kolahi, Shahriar
Khani, Sina
Ahmadi, Mehran Arab
Salehi, Mohammadreza
Delazar, Sina
Evaluation of chest CT-scan appearances of COVID-19 according to RSNA classification system
title Evaluation of chest CT-scan appearances of COVID-19 according to RSNA classification system
title_full Evaluation of chest CT-scan appearances of COVID-19 according to RSNA classification system
title_fullStr Evaluation of chest CT-scan appearances of COVID-19 according to RSNA classification system
title_full_unstemmed Evaluation of chest CT-scan appearances of COVID-19 according to RSNA classification system
title_short Evaluation of chest CT-scan appearances of COVID-19 according to RSNA classification system
title_sort evaluation of chest ct-scan appearances of covid-19 according to rsna classification system
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638630/
https://www.ncbi.nlm.nih.gov/pubmed/36353019
http://dx.doi.org/10.4103/jfmpc.jfmpc_8_22
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