■开发一种基于CT数据使用计算流体动力学(CFD)计算小气道阻力的新颖方法,并评估其识别COPD的价值。
在2020年8月至2020年12月期间接受胸部CT扫描和肺功能检查的24名受试者被回顾性纳入。受试者分为三组:正常(10),高风险(6)COPD(8)。通过3D切片机重建了从气管到第六代细支气管的气道。计算小气道阻力(RSA)和RSA占总气道阻力的百分比(RSA%),并结合气道阻力和肺功能测试测得的FEV1。RSA与肺功能参数进行相关性分析,包括FEV1/FVC,FEV1%预测,MEF50%预测,MEF75%预测和MMEF75/25%预测。
■三组间RSA和RSA%有显著差异(p<0.05),与FEV1/FVC相关(r=-0.70,p<0.001;r=-0.67,p<0.001),预测FEV1%(r=-0.60,p=0.002;r=-0.57,p=0.004),预测MEF50%(r=-0.64,p=0.001;r=-0.64,p=0.001),MEF75%预测(r=-0.71,p<0.001;r=-0.60,p=0.002)和MMEF75/25%预测(r=-0.64,p=0.001;r=-0.64,p=0.001)。
■气道CFD是估计小气道阻力的一种有价值的方法,其中衍生的RSA将有助于COPD的早期诊断。
UNASSIGNED: To develop a novel method for calculating small airway resistance using computational fluid dynamics (CFD) based on CT data and evaluate its value to identify COPD.
UNASSIGNED: 24 subjects who underwent chest CT scans and pulmonary function tests between August 2020 and December 2020 were enrolled retrospectively. Subjects were divided into three groups: normal (10), high-risk (6), and COPD (8). The airway from the trachea down to the sixth generation of bronchioles was reconstructed by a 3D slicer. The small airway resistance (RSA) and RSA as a percentage of total airway resistance (RSA%) were calculated by CFD combined with airway resistance and FEV1 measured by pulmonary function test. A correlation analysis was conducted between RSA and pulmonary function parameters, including FEV1/FVC, FEV1% predicted, MEF50% predicted, MEF75% predicted and MMEF75/25% predicted.
UNASSIGNED: The RSA and RSA% were significantly different among the three groups (p<0.05) and related to FEV1/FVC (r = -0.70, p < 0.001; r = -0.67, p < 0.001), FEV1% predicted (r = -0.60, p = 0.002; r = -0.57, p = 0.004), MEF50% predicted (r = -0.64, p = 0.001; r = -0.64, p = 0.001), MEF75% predicted (r = -0.71, p < 0.001; r = -0.60, p = 0.002) and MMEF 75/25% predicted (r = -0.64, p = 0.001; r = -0.64, p = 0.001).
UNASSIGNED: Airway CFD is a valuable method for estimating the small airway resistance, where the derived RSA will aid in the early diagnosis of COPD.