Abstract：
Background CT-derived bronchial parameters have been linked to chronic obstructive pulmonary disease and asthma severity, but little is known about these parameters in healthy individuals. Purpose To investigate the distribution of bronchial parameters at low-dose CT in individuals with healthy lungs from a Dutch general population. Materials and Methods In this prospective study, low-dose chest CT performed between May 2017 and October 2022 were obtained from participants who had completed the second-round assessment of the prospective, longitudinal Imaging in Lifelines study. Participants were aged at least 45 years, and those with abnormal spirometry, self-reported respiratory disease, or signs of lung disease at CT were excluded. Airway lumens and walls were segmented automatically. The square root of the bronchial wall area of a hypothetical airway with an internal perimeter of 10 mm (Pi10), luminal area (LA), wall thickness (WT), and wall area percentage were calculated. Associations between sex, age, height, weight, smoking status, and bronchial parameters were assessed using univariable and multivariable analyses. Results The study sample was composed of 8869 participants with healthy lungs (mean age, 60.9 years ± 10.4 [SD]; 4841 [54.6%] female participants), including 3672 (41.4%) never-smokers and 1197 (13.5%) individuals who currently smoke. Bronchial parameters for male participants were higher than those for female participants (Pi10, slope [β] range = 3.49-3.66 mm; LA, β range = 25.40-29.76 mm2; WT, β range = 0.98-1.03 mm; all P < .001). Increasing age correlated with higher Pi10, LA, and WT (r2 range = 0.06-0.09, 0.02-0.01, and 0.02-0.07, respectively; all P < .001). Never-smoking individuals had the lowest Pi10 followed by formerly smoking and currently smoking individuals (3.62 mm ± 0.13, 3.68 mm ± 0.14, and 3.70 mm ± 0.14, respectively; all P < .001). In multivariable regression models, age, sex, height, weight, and smoking history explained up to 46% of the variation in bronchial parameters. Conclusion In healthy individuals, bronchial parameters differed by sex, height, weight, and smoking history; male sex and increasing age were associated with wider lumens and thicker walls. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Emrich and Varga-Szemes in this issue.
摘要：
背景CT衍生的支气管参数与慢性阻塞性肺疾病和哮喘严重程度有关，但是对健康个体的这些参数知之甚少。目的研究荷兰普通人群中健康肺个体的低剂量CT支气管参数分布。材料和方法在这项前瞻性研究中，在2017年5月至2022年10月期间进行的低剂量胸部CT来自完成前瞻性第二轮评估的参与者,生命线研究中的纵向成像。参与者年龄至少为45岁，那些肺活量异常的人，自我报告的呼吸系统疾病，或排除CT时肺部疾病的体征。自动分割气道管腔和壁。内周长为10mm的假想气道的支气管壁面积的平方根（Pi10），管腔面积(LA),壁厚(WT),计算了墙体面积百分比。性别之间的关联，年龄,高度,体重,吸烟状况,使用单变量和多变量分析评估支气管参数。结果研究样本由8869名肺部健康的参与者组成(平均年龄，60.9岁±10.4[SD]；4841[54.6%]女性参与者)，包括3672名(41.4%)从不吸烟者和1197名(13.5%)目前吸烟的人。男性参与者的支气管参数高于女性参与者（Pi10，斜率[β]范围=3.49-3.66mm；LA，β范围=25.40-29.76mm2;WT,β范围=0.98-1.03mm;所有P<.001)。年龄的增加与较高的Pi10，LA，和WT（r2范围分别为0.06-0.09、0.02-0.01和0.02-0.07；所有P<.001）。不吸烟个体的Pi10最低，其次是以前吸烟和目前吸烟的个体（分别为3.62mm±0.13、3.68mm±0.14和3.70mm±0.14；所有P<.001）。在多变量回归模型中，年龄,性别,高度,体重,和吸烟史解释了高达46％的支气管参数变化。结论在健康个体中,支气管参数因性别而异，高度,体重,和吸烟史；男性和年龄增长与更宽的腔和更厚的壁有关。©RSNA,2024补充材料可用于本文。另请参阅本期Emrich和Varga-Szemes的社论。
