Cao X, Lin L, Li Y T, Liu H, Liu Y S, Tang J L, Han W, Leng S G, Yu S F, Zheng Y X
Department of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.
Department of Respiratory and Critical Care Medicine, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao 266071, China.
Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi. 2020 May 20;38(5):339-344. doi: 10.3760/cma.j.cn121094-20200220-00068.
To investigate the measurement of small airways by high-resolution CT and image post-processing software. Screen and analyze the reconstructed airway parameters in order to find the best imaging biomarker parameters of small airway changes and calculate the reference value range; meanwhile, explore its influencing factors. From a water plant and a medical school, 169 cases of the general population aged 20 to 60 were selected as research objects, and questionnaire surveys and CT tests were performed, and CT data were reconstructed with image post-processing software. The reference value range of the general population was evaluated, and a linear mixed effect model was used to adjust the age, gender, height, BMI, and smoking status, and analyze the influencing factors of airway parameters. The ratio of sixth-grade tracheal wall area to total tracheal area in the Left B1+2 to carina was (53.01±13.35) %, Left B9 to carina was (50.44±12.98) %, Right B1 to carina was (52.73±12.22) %, and Right B9 to carina was (52.93±11.85) %. The ratio of nineth-grade tracheal wall area to total tracheal area in the Left B1+2 to carina was (44.08±14.66) %, Left B9 to carina was (42.44±15.89) %, Right B1 to carina was (46.51±14.03) %, and Right B9 to carina is (43.54±15.87) %. BMI affect the area of the tracheal wall, all p value<0.05. High-resolution CT small airway morphology can make a preliminary assessment of the susceptible population of small airway-related diseases based on a range of reference values, and prevent and control it in combination with influencing factors.
探讨高分辨率CT及图像后处理软件对小气道的测量。筛选并分析重建气道参数,以寻找小气道改变的最佳影像生物标志物参数并计算参考值范围;同时,探索其影响因素。选取某水厂及某医学院169例20至60岁的普通人群作为研究对象,进行问卷调查及CT检查,并用图像后处理软件重建CT数据。评估普通人群的参考值范围,采用线性混合效应模型校正年龄、性别、身高、BMI及吸烟状况,分析气道参数的影响因素。左肺B1+2至隆突处六级气管壁面积与总气管面积之比为(53.01±13.35)%,左肺B9至隆突处为(50.44±12.98)%,右肺B1至隆突处为(52.73±12.22)%,右肺B9至隆突处为(52.93±11.85)%。左肺B1+2至隆突处九级气管壁面积与总气管面积之比为(44.08±14.66)%,左肺B9至隆突处为(42.44±15.89)%,右肺B1至隆突处为(46.51±14.03)%,右肺B9至隆突处为(43.54±15.87)%。BMI影响气管壁面积,所有p值<0.05。高分辨率CT小气道形态可基于一系列参考值对小气道相关疾病易感人群进行初步评估,并结合影响因素进行防控。