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Tracheal collapse diagnosed by multidetector computed tomography: evaluation of different image analysis methods

Background: The gold standard for diagnosing excessive tracheal collapse is still evaluation during bronchoscopy. Today, multidetector computed tomography (MDCT) is used to confirm a suspicion of abnormal tracheal collapse. There is no gold standard for computed tomography (CT) image analysis of tra...

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Autores principales: Nygaard, Mette, Bendstrup, Elisabeth, Dahl, Ronald, Hilberg, Ole, Rasmussen, Finn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5915113/
https://www.ncbi.nlm.nih.gov/pubmed/29707170
http://dx.doi.org/10.1080/20018525.2017.1407624
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author Nygaard, Mette
Bendstrup, Elisabeth
Dahl, Ronald
Hilberg, Ole
Rasmussen, Finn
author_facet Nygaard, Mette
Bendstrup, Elisabeth
Dahl, Ronald
Hilberg, Ole
Rasmussen, Finn
author_sort Nygaard, Mette
collection PubMed
description Background: The gold standard for diagnosing excessive tracheal collapse is still evaluation during bronchoscopy. Today, multidetector computed tomography (MDCT) is used to confirm a suspicion of abnormal tracheal collapse. There is no gold standard for computed tomography (CT) image analysis of tracheal collapse. Purpose: To evaluate four different methods for the diagnosis of tracheal collapse using the images obtained through MDCT to help clinicians evaluate the images in daily practice. Objectives: 374 consecutive high-resolution CT scans with full inspiratory and end-expiratory CT scans were retrospectively analyzed. Methods: The images were analyzed in four different ways. The degree of collapse was based on cross-sectional areas of individual locations or volumes of entire regions: (1) 1 cm above the carina, (2) the level of maximal collapse of the trachea, (3) the entire region from the carina to the thoracic inlet, and (4) the trachea and bronchial region as defined by the software. Results: We compared three existing and one new method for image analysis of tracheal collapse by MDCT. The prevalence of tracheal collapse varied from 10.7% to 19.5% in this cohort of patients suffering from mixed lung diseases when using an expiratory collapse of ≥50% as a threshold. The four methods were comparable with highly significant Pearsons correlation coefficients (0.764–0.856). However, the four methods identified different patients with collapse of ≥50%. There was no correlation between symptoms and the degree of collapse. Conclusion: The different methods identify tracheal collapse in different patients. Hence, the diagnosis of excessive tracheal collapse can not rely solely on MDCT images. Generally, there is a poor correlation between symptoms and the degree of collapse in the different methods. However, when using the maximal collapse, there is some correlation with symptoms. When in doubt regarding the diagnosis, further investigations, such as bronchoscopy, should be carried out.
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spelling pubmed-59151132018-04-27 Tracheal collapse diagnosed by multidetector computed tomography: evaluation of different image analysis methods Nygaard, Mette Bendstrup, Elisabeth Dahl, Ronald Hilberg, Ole Rasmussen, Finn Eur Clin Respir J Research Article Background: The gold standard for diagnosing excessive tracheal collapse is still evaluation during bronchoscopy. Today, multidetector computed tomography (MDCT) is used to confirm a suspicion of abnormal tracheal collapse. There is no gold standard for computed tomography (CT) image analysis of tracheal collapse. Purpose: To evaluate four different methods for the diagnosis of tracheal collapse using the images obtained through MDCT to help clinicians evaluate the images in daily practice. Objectives: 374 consecutive high-resolution CT scans with full inspiratory and end-expiratory CT scans were retrospectively analyzed. Methods: The images were analyzed in four different ways. The degree of collapse was based on cross-sectional areas of individual locations or volumes of entire regions: (1) 1 cm above the carina, (2) the level of maximal collapse of the trachea, (3) the entire region from the carina to the thoracic inlet, and (4) the trachea and bronchial region as defined by the software. Results: We compared three existing and one new method for image analysis of tracheal collapse by MDCT. The prevalence of tracheal collapse varied from 10.7% to 19.5% in this cohort of patients suffering from mixed lung diseases when using an expiratory collapse of ≥50% as a threshold. The four methods were comparable with highly significant Pearsons correlation coefficients (0.764–0.856). However, the four methods identified different patients with collapse of ≥50%. There was no correlation between symptoms and the degree of collapse. Conclusion: The different methods identify tracheal collapse in different patients. Hence, the diagnosis of excessive tracheal collapse can not rely solely on MDCT images. Generally, there is a poor correlation between symptoms and the degree of collapse in the different methods. However, when using the maximal collapse, there is some correlation with symptoms. When in doubt regarding the diagnosis, further investigations, such as bronchoscopy, should be carried out. Taylor & Francis 2017-12-08 /pmc/articles/PMC5915113/ /pubmed/29707170 http://dx.doi.org/10.1080/20018525.2017.1407624 Text en © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Nygaard, Mette
Bendstrup, Elisabeth
Dahl, Ronald
Hilberg, Ole
Rasmussen, Finn
Tracheal collapse diagnosed by multidetector computed tomography: evaluation of different image analysis methods
title Tracheal collapse diagnosed by multidetector computed tomography: evaluation of different image analysis methods
title_full Tracheal collapse diagnosed by multidetector computed tomography: evaluation of different image analysis methods
title_fullStr Tracheal collapse diagnosed by multidetector computed tomography: evaluation of different image analysis methods
title_full_unstemmed Tracheal collapse diagnosed by multidetector computed tomography: evaluation of different image analysis methods
title_short Tracheal collapse diagnosed by multidetector computed tomography: evaluation of different image analysis methods
title_sort tracheal collapse diagnosed by multidetector computed tomography: evaluation of different image analysis methods
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5915113/
https://www.ncbi.nlm.nih.gov/pubmed/29707170
http://dx.doi.org/10.1080/20018525.2017.1407624
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