Objective: 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. Methods: 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. Results: 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. Conclusion: 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.
目的： 探讨高分辨率CT及图像后处理软件对小气道的测量，通过重建气道参数筛选，分析小气道改变的最佳影像学生物标志物参数和影响因素。 方法： 于2018年10月，从某水厂及某医学院选择169名研究对象，进行问卷调查和肺部CT检测，结合图像后处理软件对CT数据重建。对一般人群参考值范围进行评估对气管支气管树进行分级，使用线性混合效应模型，调整年龄、性别、身高、超重、吸烟情况、气道重建方式以及不同肺段的位置，对气道参数的影响因素进行分析。 结果： 选取气管壁面积与总气管面积比值[WA（%）]作为气道改变的生物标志物参数。6级支气管WA（%）在左肺上叶支气管上支尖后段为（53.01±13.35）%、左肺下叶外侧基底段为（50.44±12.98）%、右肺上叶尖端为（52.73±12.22）%、右肺下叶外侧基底段为（52.93±11.85）%。9级支气管WA（%）在左肺上叶支气管上支尖后段为（44.08±14.66）%、左肺下叶外侧基底段为（42.44±15.89）%、右肺上叶尖端为（46.51±14.03）%、右肺下叶外侧基底段为（43.54±15.87）%。超重人群的6、9级气WA（%）均高于正常人群（β值=6.37、7.33，P<0.05）。 结论： 高分辨率CT小气道形态学可对小气道相关疾病的易感人群根据参考值范围进行初步评估，并结合影响因素进行防控。.
Keywords: Biomarker; High resolution CT; Reference value; Small airway changes.