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哮喘合并支气管扩张时支气管厚度及黏液栓的自动计算机断层扫描分析

Automated computed tomographic analysis of bronchial thickness and mucus plugs in bronchiectasis with asthma.

作者信息

van der Veer Tjeerd, Andrinopoulou Eleni-Rosalina, Makani Punitkumar, Braunstahl Gert-Jan, Tiddens Harm A W M

机构信息

Department of Pulmonary Disease, Erasmus MC, Rotterdam, The Netherlands.

Department of Pulmonary Disease, Leiden University Medical Centre, Leiden, The Netherlands.

出版信息

ERJ Open Res. 2025 Aug 4;11(4). doi: 10.1183/23120541.00736-2024. eCollection 2025 Jul.

Abstract

BACKGROUND

Bronchiectasis disease is characterised by cough, sputum and exacerbations, with chest computed tomography (CT) typically showing bronchial wall thickening and mucus plugging in addition to bronchial dilation. Asthma is a common comorbidity and associated with increased, eosinophilic, airway inflammation. Automated measurements of bronchial wall thickening and mucus plugs may serve as biomarkers for inflammation and are associated with clinical characteristics such as spirometry, blood eosinophil counts and disease severity in patients with bronchiectasis and asthma co-diagnosis.

METHODS

In a cross-sectional retrospective cohort of 64 patients with bronchiectasis disease and asthma, we applied automated image analysis to assess bronchial dimensions and mucus plug metrics on chest CT scans. These metrics were correlated with spirometry, blood eosinophil counts as well as FACED and Bronchiectasis Severity Index (BSI) scores using correlations and multiple regression analyses.

RESULTS

In 63 patients, bronchial wall thickness and mucus plugs were quantified. Negative correlations were observed between bronchial wall thickness markers and spirometry (bronchial wall thickness/accompanying artery diameter and forced expiratory volume in 1 s (FEV), r= -0.37; FEV/forced vital capacity, r= -0.30). Mucus plugs correlated negatively with spirometry and positively with FACED and BSI scores (number of mucus plugs and BSI, r=0.45). Correlations with blood eosinophil counts were very weak. In multiple regression analyses, independent associations were observed for FEV, and frequent exacerbations.

CONCLUSION

This study identified key relationships between automated measurements of bronchial wall thickness and mucus plugs and clinical characteristics, highlighting their potential as imaging biomarkers to enhance phenotyping, improve risk assessment and facilitate tailored treatment strategies in bronchiectasis.

摘要

背景

支气管扩张症的特征为咳嗽、咳痰及病情加重,胸部计算机断层扫描(CT)通常显示除支气管扩张外,还有支气管壁增厚和黏液嵌塞。哮喘是一种常见的合并症,与嗜酸性粒细胞增多的气道炎症增加有关。支气管壁增厚和黏液嵌塞的自动测量可作为炎症的生物标志物,并与支气管扩张症和哮喘共诊断患者的临床特征相关,如肺功能测定、血液嗜酸性粒细胞计数和疾病严重程度。

方法

在一项对64例支气管扩张症和哮喘患者的横断面回顾性队列研究中,我们应用自动图像分析来评估胸部CT扫描上的支气管尺寸和黏液嵌塞指标。使用相关性分析和多元回归分析,将这些指标与肺功能测定、血液嗜酸性粒细胞计数以及FACED和支气管扩张严重程度指数(BSI)评分进行关联。

结果

63例患者的支气管壁厚度和黏液嵌塞得到量化。观察到支气管壁厚度标志物与肺功能测定之间存在负相关(支气管壁厚度/伴行动脉直径与第1秒用力呼气容积(FEV),r = -0.37;FEV/用力肺活量,r = -0.30)。黏液嵌塞与肺功能测定呈负相关,与FACED和BSI评分呈正相关(黏液嵌塞数量与BSI,r = 0.45)。与血液嗜酸性粒细胞计数的相关性非常弱。在多元回归分析中,观察到FEV以及频繁加重存在独立关联。

结论

本研究确定了支气管壁厚度和黏液嵌塞的自动测量与临床特征之间的关键关系,突出了它们作为成像生物标志物在增强支气管扩张症的表型分析、改善风险评估和促进个体化治疗策略方面的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9725/12320113/70ec11225037/00736-2024.01.jpg

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