小气道阻力的空气动力学模拟:慢性阻塞性肺病的新成像生物标记物

Di Zhang, Yu Guan, Xiuxiu Zhou, Mingzi Zhang, Yu Pu, Pengchen Gu, Yi Xia, Yang Lu, Jia Chen, Wenting Tu, Kunyao Huang, Jixin Hou, Hua Yang, Chicheng Fu, Qu Fang, Chuan He, Shiyuan Liu, Li Fan
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引用次数: 0

摘要

目的:开发一种基于 CT 数据的计算流体动力学(CFD)计算小气道阻力的新方法,并评估其在识别慢性阻塞性肺疾病方面的价值。受试者分为三组:正常组(10 人)、高危组(6 人)和 COPD 组(8 人)。用三维切片机重建了从气管到第六代支气管的气道。通过 CFD 结合气道阻力和肺功能测试测得的 FEV1,计算出小气道阻力(RSA)和 RSA 占总气道阻力的百分比(RSA%)。对 RSA 和肺功能参数(包括 FEV1/FVC、FEV1% 预测值、MEF50% 预测值、MEF75% 预测值和 MMEF75/25% 预测值)进行了相关性分析:结果:RSA和RSA%在三组间存在显著差异(p< 0.05),并与FEV1/FVC(r = - 0.70, p < 0.001; r = - 0.67, p < 0.001)、FEV1%预测值(r = - 0.60, p = 0.002; r = - 0.57, p = 0.004)、MEF50%预测值(r = - 0.64,p = 0.001;r = - 0.64,p = 0.001)、MEF75%预测值(r = - 0.71,p < 0.001;r = - 0.60,p = 0.002)和MMEF 75/25%预测值(r = - 0.64,p = 0.001;r = - 0.64,p = 0.001):结论:气道 CFD 是估算小气道阻力的重要方法,得出的 RSA 将有助于 COPD 的早期诊断:COPD、小气道疾病、CT、流体动力学
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Aerodynamic Simulation of Small Airway Resistance: A New Imaging Biomarker for Chronic Obstructive Pulmonary Disease
Purpose: 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.
Patients and Methods: 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.
Results: 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).
Conclusion: Airway CFD is a valuable method for estimating the small airway resistance, where the derived RSA will aid in the early diagnosis of COPD.

Keywords: COPD, small airway disease, CT, fluid dynamics
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来源期刊
CiteScore
5.10
自引率
10.70%
发文量
372
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed journal of therapeutics and pharmacology focusing on concise rapid reporting of clinical studies and reviews in COPD. Special focus will be given to the pathophysiological processes underlying the disease, intervention programs, patient focused education, and self management protocols. This journal is directed at specialists and healthcare professionals
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