Automated method of bronchus and artery dimension measurement in an adult bronchiectasis population

医学 支气管扩张 支气管 维数(图论) 人口 放射科 内科学 呼吸道疾病 环境卫生 数学 纯数学
作者
Angelina Pieters,Qianting Lv,Jennifer J. Meerburg,Tjeerd van der Veer,Eleni‐Rosalina Andrinopoulou,Pierluigi Ciet,James D. Chalmers,Michael R. Loebinger,Charles Haworth,J.S. Elborn,Harm A.W.M. Tiddens
出处
期刊:ERJ Open Research [European Respiratory Society]
卷期号:10 (6): 00231-2024
标识
DOI:10.1183/23120541.00231-2024
摘要

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 (B out ), bronchial inner wall (B in ) and artery (A), and bronchial wall thickness (B wt ) and computes BA ratios (B out /A and B in /A) to assess bronchial widening. To assess bronchial wall thickness, we used the B wt /A ratio and the ratio between the bronchus wall area (B wa ) and the area defined by the outer airway (B oa ) (B wa /B oa ). 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 B out /A, and 53 (42–65)% of bronchial wall were thickened using a cut-off value of 0.14 for B wt /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.

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