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Differentiation of bacterial and non-bacterial community-acquired pneumonia by thin-section computed tomography

BACKGROUND AND OBJECTIVE: The management of community-acquired pneumonia (CAP) depends, in part, on the identification of the causative agents. The objective of this study was to determine the potential of thin-section computed tomography (CT) in differentiating bacterial and non-bacterial pneumonia...

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Autores principales: Ito, Isao, Ishida, Tadashi, Togashi, Kaori, Niimi, Akio, Koyama, Hiroshi, Ishimori, Takayoshi, Kobayashi, Hisataka, Mishima, Michiaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ireland Ltd. Published by Elsevier Ireland Ltd. 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127011/
https://www.ncbi.nlm.nih.gov/pubmed/18835120
http://dx.doi.org/10.1016/j.ejrad.2008.08.004
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author Ito, Isao
Ishida, Tadashi
Togashi, Kaori
Niimi, Akio
Koyama, Hiroshi
Ishimori, Takayoshi
Kobayashi, Hisataka
Mishima, Michiaki
author_facet Ito, Isao
Ishida, Tadashi
Togashi, Kaori
Niimi, Akio
Koyama, Hiroshi
Ishimori, Takayoshi
Kobayashi, Hisataka
Mishima, Michiaki
author_sort Ito, Isao
collection PubMed
description BACKGROUND AND OBJECTIVE: The management of community-acquired pneumonia (CAP) depends, in part, on the identification of the causative agents. The objective of this study was to determine the potential of thin-section computed tomography (CT) in differentiating bacterial and non-bacterial pneumonia. PATIENTS AND METHODS: Thin-section CT studies were prospectively examined in hospitalized CAP patients within 2 days of admission, followed by retrospective assessment by two pulmonary radiologists. Thin-section CT findings on the pneumonias caused by each pathogen were examined, and two types of pneumonias were compared. Using multivariate logistic regression analyses, receiver operating characteristic (ROC) curves were produced. RESULTS: Among 183 CAP episodes (181 patients, 125 men and 56 women, mean age ± S.D.: 61.1 ± 19.7) examined by thin-section CT, the etiologies of 125 were confirmed (94 bacterial pneumonia and 31 non-bacterial pneumonia). Centrilobular nodules were specific for non-bacterial pneumonia and airspace nodules were specific for bacterial pneumonia (specificities of 89% and 94%, respectively) when located in the outer lung areas. When centrilobular nodules were the principal finding, they were specific but lacked sensitivity for non-bacterial pneumonia (specificity 98% and sensitivity 23%). To distinguish the two types of pneumonias, centrilobular nodules, airspace nodules and lobular shadows were found to be important by multivariate analyses. ROC curve analysis discriminated bacterial pneumonia from non-bacterial pneumonia among patients without underlying lung diseases, yielding an optimal point with sensitivity and specificity of 86% and 79%, respectively, but was less effective when all patients were analyzed together (70% and 84%, respectively). CONCLUSION: Thin-section CT examination was applied for the differentiation of bacterial and non-bacterial pneumonias. Though showing some potential, this examination at the present time would not be applicable for patients with underlying lung diseases, severe conditions of pneumonia, or immunocompromised conditions.
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spelling pubmed-71270112020-04-08 Differentiation of bacterial and non-bacterial community-acquired pneumonia by thin-section computed tomography Ito, Isao Ishida, Tadashi Togashi, Kaori Niimi, Akio Koyama, Hiroshi Ishimori, Takayoshi Kobayashi, Hisataka Mishima, Michiaki Eur J Radiol Article BACKGROUND AND OBJECTIVE: The management of community-acquired pneumonia (CAP) depends, in part, on the identification of the causative agents. The objective of this study was to determine the potential of thin-section computed tomography (CT) in differentiating bacterial and non-bacterial pneumonia. PATIENTS AND METHODS: Thin-section CT studies were prospectively examined in hospitalized CAP patients within 2 days of admission, followed by retrospective assessment by two pulmonary radiologists. Thin-section CT findings on the pneumonias caused by each pathogen were examined, and two types of pneumonias were compared. Using multivariate logistic regression analyses, receiver operating characteristic (ROC) curves were produced. RESULTS: Among 183 CAP episodes (181 patients, 125 men and 56 women, mean age ± S.D.: 61.1 ± 19.7) examined by thin-section CT, the etiologies of 125 were confirmed (94 bacterial pneumonia and 31 non-bacterial pneumonia). Centrilobular nodules were specific for non-bacterial pneumonia and airspace nodules were specific for bacterial pneumonia (specificities of 89% and 94%, respectively) when located in the outer lung areas. When centrilobular nodules were the principal finding, they were specific but lacked sensitivity for non-bacterial pneumonia (specificity 98% and sensitivity 23%). To distinguish the two types of pneumonias, centrilobular nodules, airspace nodules and lobular shadows were found to be important by multivariate analyses. ROC curve analysis discriminated bacterial pneumonia from non-bacterial pneumonia among patients without underlying lung diseases, yielding an optimal point with sensitivity and specificity of 86% and 79%, respectively, but was less effective when all patients were analyzed together (70% and 84%, respectively). CONCLUSION: Thin-section CT examination was applied for the differentiation of bacterial and non-bacterial pneumonias. Though showing some potential, this examination at the present time would not be applicable for patients with underlying lung diseases, severe conditions of pneumonia, or immunocompromised conditions. Elsevier Ireland Ltd. Published by Elsevier Ireland Ltd. 2009-12 2008-10-02 /pmc/articles/PMC7127011/ /pubmed/18835120 http://dx.doi.org/10.1016/j.ejrad.2008.08.004 Text en Copyright © 2008 Elsevier Ireland Ltd. Published by Elsevier Ireland Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Ito, Isao
Ishida, Tadashi
Togashi, Kaori
Niimi, Akio
Koyama, Hiroshi
Ishimori, Takayoshi
Kobayashi, Hisataka
Mishima, Michiaki
Differentiation of bacterial and non-bacterial community-acquired pneumonia by thin-section computed tomography
title Differentiation of bacterial and non-bacterial community-acquired pneumonia by thin-section computed tomography
title_full Differentiation of bacterial and non-bacterial community-acquired pneumonia by thin-section computed tomography
title_fullStr Differentiation of bacterial and non-bacterial community-acquired pneumonia by thin-section computed tomography
title_full_unstemmed Differentiation of bacterial and non-bacterial community-acquired pneumonia by thin-section computed tomography
title_short Differentiation of bacterial and non-bacterial community-acquired pneumonia by thin-section computed tomography
title_sort differentiation of bacterial and non-bacterial community-acquired pneumonia by thin-section computed tomography
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127011/
https://www.ncbi.nlm.nih.gov/pubmed/18835120
http://dx.doi.org/10.1016/j.ejrad.2008.08.004
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