Automated method of bronchus and artery dimension measurement in an adult bronchiectasis population
Aim Bronchiectasis (BE) is a disease defined by irreversible dilatation of the airway. Computed tomography (CT) plays an important role in the detection and quantification of BE. The aim of this study was three-fold: 1) to assess bronchus–artery (BA) dimensions using fully automated software in a co...
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Language: | English |
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European Respiratory Society
2024-12-01
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Series: | ERJ Open Research |
Online Access: | http://openres.ersjournals.com/content/10/6/00231-2024.full |
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author | Angelina L.P. Pieters Qianting Lv Jennifer J. Meerburg Tjeerd van der Veer Eleni-Rosalina Andrinopoulou Pierluigi Ciet James D. Chalmers Michael R. Loebinger Charles S. Haworth J. Stuart Elborn Harm A.W.M. Tiddens |
author_facet | Angelina L.P. Pieters Qianting Lv Jennifer J. Meerburg Tjeerd van der Veer Eleni-Rosalina Andrinopoulou Pierluigi Ciet James D. Chalmers Michael R. Loebinger Charles S. Haworth J. Stuart Elborn Harm A.W.M. Tiddens |
author_sort | Angelina L.P. Pieters |
collection | DOAJ |
description | Aim
Bronchiectasis (BE) is a disease defined by irreversible dilatation of the airway. Computed tomography (CT) plays an important role in the detection and quantification of BE. The aim of this study was three-fold: 1) to assess bronchus–artery (BA) dimensions using fully automated software in a cohort of BE disease patients; 2) to compare BA dimensions with semi-quantitative BEST-CT (Bronchiectasis Scoring Technique for CT) scores for BE and bronchial wall thickening; and 3) to explore the structure–function relationship between BA-method lumen dimensions and spirometry outcomes.
Methods
Baseline CTs of BE patients who participated in a clinical trial were collected retrospectively. CTs were analysed manually with the BEST-CT scoring system and automatically using LungQ (v.2.1.0.1, Thirona, The Netherlands), which measures the following BA dimensions: diameters of bronchial outer wall (Bout), bronchial inner wall (Bin) and artery (A), and bronchial wall thickness (Bwt) and computes BA ratios (Bout/A and Bin/A) to assess bronchial widening. To assess bronchial wall thickness, we used the Bwt/A ratio and the ratio between the bronchus wall area (Bwa) and the area defined by the outer airway (Boa) (Bwa/Boa).
Results
In total, 65 patients and 16 900 BA pairs were analysed by the automated BA method. The median (range) percentage of BA pairs defined as widened was 69 (55–84)% per CT using a cut-off value of 1.5 for Bout/A, and 53 (42–65)% of bronchial wall were thickened using a cut-off value of 0.14 for Bwt/A. BA dimensions were correlated with comparable outcomes for the BEST-CT scoring method with a correlation coefficient varying between 0.21 to 0.51. The major CT BA determinants of airflow obstruction were bronchial wall thickness (p=0.001) and a narrower bronchial inner diameter (p=0.003).
Conclusion
The automated BA method, which is an accurate and sensitive tool, demonstrates a stronger correlation between visual and automated assessment and lung function when using a higher cut-off value to define bronchiectasis. |
format | Article |
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institution | Kabale University |
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language | English |
publishDate | 2024-12-01 |
publisher | European Respiratory Society |
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spelling | doaj-art-382dbf1a70704546a58be53bea30aaab2025-01-14T09:50:22ZengEuropean Respiratory SocietyERJ Open Research2312-05412024-12-0110610.1183/23120541.00231-202400231-2024Automated method of bronchus and artery dimension measurement in an adult bronchiectasis populationAngelina L.P. Pieters0Qianting Lv1Jennifer J. Meerburg2Tjeerd van der Veer3Eleni-Rosalina Andrinopoulou4Pierluigi Ciet5James D. Chalmers6Michael R. Loebinger7Charles S. Haworth8J. Stuart Elborn9Harm A.W.M. Tiddens10 Erasmus MC, University Medical Center Rotterdam, Department of Radiology and Nuclear Medicine, Rotterdam, The Netherlands Erasmus MC, University Medical Center Rotterdam, Department of Radiology and Nuclear Medicine, Rotterdam, The Netherlands Erasmus MC, University Medical Center Rotterdam, Department of Radiology and Nuclear Medicine, Rotterdam, The Netherlands Erasmus MC, University Medical Center Rotterdam, Department of Respiratory Medicine, Rotterdam, The Netherlands Erasmus MC, University Medical Center Rotterdam, Department of Biostatistics. Department of Epidemiology, Rotterdam, The Netherlands Erasmus MC, University Medical Center Rotterdam, Department of Radiology and Nuclear Medicine, Rotterdam, The Netherlands College of Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK Host Defence Unit, Royal Brompton Hospital, London, UK Cambridge Centre for Lung Infection, Royal Papworth Hospital, Cambridge, UK School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK Erasmus MC, University Medical Center Rotterdam, Department of Radiology and Nuclear Medicine, Rotterdam, The Netherlands Aim Bronchiectasis (BE) is a disease defined by irreversible dilatation of the airway. Computed tomography (CT) plays an important role in the detection and quantification of BE. The aim of this study was three-fold: 1) to assess bronchus–artery (BA) dimensions using fully automated software in a cohort of BE disease patients; 2) to compare BA dimensions with semi-quantitative BEST-CT (Bronchiectasis Scoring Technique for CT) scores for BE and bronchial wall thickening; and 3) to explore the structure–function relationship between BA-method lumen dimensions and spirometry outcomes. Methods Baseline CTs of BE patients who participated in a clinical trial were collected retrospectively. CTs were analysed manually with the BEST-CT scoring system and automatically using LungQ (v.2.1.0.1, Thirona, The Netherlands), which measures the following BA dimensions: diameters of bronchial outer wall (Bout), bronchial inner wall (Bin) and artery (A), and bronchial wall thickness (Bwt) and computes BA ratios (Bout/A and Bin/A) to assess bronchial widening. To assess bronchial wall thickness, we used the Bwt/A ratio and the ratio between the bronchus wall area (Bwa) and the area defined by the outer airway (Boa) (Bwa/Boa). Results In total, 65 patients and 16 900 BA pairs were analysed by the automated BA method. The median (range) percentage of BA pairs defined as widened was 69 (55–84)% per CT using a cut-off value of 1.5 for Bout/A, and 53 (42–65)% of bronchial wall were thickened using a cut-off value of 0.14 for Bwt/A. BA dimensions were correlated with comparable outcomes for the BEST-CT scoring method with a correlation coefficient varying between 0.21 to 0.51. The major CT BA determinants of airflow obstruction were bronchial wall thickness (p=0.001) and a narrower bronchial inner diameter (p=0.003). Conclusion The automated BA method, which is an accurate and sensitive tool, demonstrates a stronger correlation between visual and automated assessment and lung function when using a higher cut-off value to define bronchiectasis.http://openres.ersjournals.com/content/10/6/00231-2024.full |
spellingShingle | Angelina L.P. Pieters Qianting Lv Jennifer J. Meerburg Tjeerd van der Veer Eleni-Rosalina Andrinopoulou Pierluigi Ciet James D. Chalmers Michael R. Loebinger Charles S. Haworth J. Stuart Elborn Harm A.W.M. Tiddens Automated method of bronchus and artery dimension measurement in an adult bronchiectasis population ERJ Open Research |
title | Automated method of bronchus and artery dimension measurement in an adult bronchiectasis population |
title_full | Automated method of bronchus and artery dimension measurement in an adult bronchiectasis population |
title_fullStr | Automated method of bronchus and artery dimension measurement in an adult bronchiectasis population |
title_full_unstemmed | Automated method of bronchus and artery dimension measurement in an adult bronchiectasis population |
title_short | Automated method of bronchus and artery dimension measurement in an adult bronchiectasis population |
title_sort | automated method of bronchus and artery dimension measurement in an adult bronchiectasis population |
url | http://openres.ersjournals.com/content/10/6/00231-2024.full |
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