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Imaging: how to recognise idiopathic pulmonary fibrosis

It is well known that high-resolution computed tomography (HRCT) is an essential component of the diagnostic pathway in idiopathic pulmonary fibrosis (IPF). Honeycombing, a common feature of IPF seen on HRCT, is crucial for an accurate diagnosis. Unfortunately, identification of honeycombing is not...

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Detalles Bibliográficos
Autor principal: Devaraj, Anand
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487568/
https://www.ncbi.nlm.nih.gov/pubmed/24881075
http://dx.doi.org/10.1183/09059180.00001514
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author Devaraj, Anand
author_facet Devaraj, Anand
author_sort Devaraj, Anand
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description It is well known that high-resolution computed tomography (HRCT) is an essential component of the diagnostic pathway in idiopathic pulmonary fibrosis (IPF). Honeycombing, a common feature of IPF seen on HRCT, is crucial for an accurate diagnosis. Unfortunately, identification of honeycombing is not always straightforward, and there is some disagreement regarding its imaging features. It can be difficult to distinguish honeycombing from traction bronchiectasis and emphysema, although several imaging characteristics can be helpful. Recently, there has been an interest in expanding the use of HRCT beyond diagnosis for disease monitoring and prognostication, and several studies have provided valuable contributions in this regard. Traction bronchiectasis and the extent of fibrosis, for example, have been reported to be powerful prognostic predictors for mortality. Finally, considering the difficulties in diagnosis of “possible usual interstitial pneumonia”, clinicians should always be aware that clinical factors must be considered together with HRCT in order to reach an accurate diagnosis and provide appropriate treatment.
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spelling pubmed-94875682022-11-14 Imaging: how to recognise idiopathic pulmonary fibrosis Devaraj, Anand Eur Respir Rev Review It is well known that high-resolution computed tomography (HRCT) is an essential component of the diagnostic pathway in idiopathic pulmonary fibrosis (IPF). Honeycombing, a common feature of IPF seen on HRCT, is crucial for an accurate diagnosis. Unfortunately, identification of honeycombing is not always straightforward, and there is some disagreement regarding its imaging features. It can be difficult to distinguish honeycombing from traction bronchiectasis and emphysema, although several imaging characteristics can be helpful. Recently, there has been an interest in expanding the use of HRCT beyond diagnosis for disease monitoring and prognostication, and several studies have provided valuable contributions in this regard. Traction bronchiectasis and the extent of fibrosis, for example, have been reported to be powerful prognostic predictors for mortality. Finally, considering the difficulties in diagnosis of “possible usual interstitial pneumonia”, clinicians should always be aware that clinical factors must be considered together with HRCT in order to reach an accurate diagnosis and provide appropriate treatment. European Respiratory Society 2014-06 /pmc/articles/PMC9487568/ /pubmed/24881075 http://dx.doi.org/10.1183/09059180.00001514 Text en ©ERS 2014 https://creativecommons.org/licenses/by-nc/4.0/ERR articles are open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Review
Devaraj, Anand
Imaging: how to recognise idiopathic pulmonary fibrosis
title Imaging: how to recognise idiopathic pulmonary fibrosis
title_full Imaging: how to recognise idiopathic pulmonary fibrosis
title_fullStr Imaging: how to recognise idiopathic pulmonary fibrosis
title_full_unstemmed Imaging: how to recognise idiopathic pulmonary fibrosis
title_short Imaging: how to recognise idiopathic pulmonary fibrosis
title_sort imaging: how to recognise idiopathic pulmonary fibrosis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487568/
https://www.ncbi.nlm.nih.gov/pubmed/24881075
http://dx.doi.org/10.1183/09059180.00001514
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