Suppr超能文献

小气道阻力的空气动力学模拟:慢性阻塞性肺疾病的新型成像生物标志物。

Aerodynamic Simulation of Small Airway Resistance: A New Imaging Biomarker for Chronic Obstructive Pulmonary Disease.

机构信息

Department of Radiology, Second Affiliated Hospital, Naval Medical University, Shanghai, People's Republic of China.

Scientific Research Department, Shanghai Aitrox Technology Corporation Limited, Shanghai, People's Republic of China.

出版信息

Int J Chron Obstruct Pulmon Dis. 2024 May 27;19:1167-1175. doi: 10.2147/COPD.S456878. eCollection 2024.

Abstract

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 (R) and R as a percentage of total airway resistance (R%) were calculated by CFD combined with airway resistance and FEV measured by pulmonary function test. A correlation analysis was conducted between R and pulmonary function parameters, including FEV/FVC, FEV% predicted, MEF50% predicted, MEF75% predicted and MMEF75/25% predicted.

RESULTS

The R and R% were significantly different among the three groups (p<0.05) and related to FEV/FVC (r = -0.70, p < 0.001; r = -0.67, p < 0.001), FEV% 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 R will aid in the early diagnosis of COPD.

摘要

目的

开发一种基于 CT 数据的计算小气道阻力的新方法,并用该方法计算小气道阻力,评估其在识别 COPD 中的价值。

方法

回顾性分析 2020 年 8 月至 12 月期间进行胸部 CT 扫描和肺功能检查的 24 例受试者。将受试者分为三组:正常组(10 例)、高危组(6 例)和 COPD 组(8 例)。使用 3D slicer 对从气管到第六代细支气管的气道进行重建。通过 CFD 结合肺功能测试测量气道阻力和 FEV,计算小气道阻力(R)和小气道阻力占总气道阻力的百分比(R%)。对 R 与肺功能参数(FEV/FVC、FEV%预测值、MEF50%预测值、MEF75%预测值和 MMEF75/25%预测值)进行相关性分析。

结果

三组间 R 和 R%差异均有统计学意义(p<0.05),且与 FEV/FVC(r=-0.70,p<0.001;r=-0.67,p<0.001)、FEV%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 MMEF75/25%预测值(r=-0.64,p=0.001;r=-0.64,p=0.001)均相关。

结论

气道 CFD 是一种估计小气道阻力的有价值的方法,该方法计算得出的 R 有助于 COPD 的早期诊断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b89/11141759/48e68710b78b/COPD-19-1167-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验