Time-based pulmonary features from electrical impedance tomography demonstrate ventilation heterogeneity in chronic obstructive pulmonary disease

被引:19
作者
Milne, Stephen [1 ,2 ,3 ,4 ,5 ,6 ]
Huvanandana, Jacqueline [1 ,2 ]
Nguyen, Chinh [1 ,2 ]
Duncan, Joseph M. [5 ]
Chapman, David G. [1 ,2 ,7 ]
Tonga, Katrina O. [1 ,2 ,4 ,8 ]
Zimmermann, Sabine C. [1 ,2 ,4 ,5 ]
Slattery, Alexander [5 ]
King, Gregory G. [1 ,2 ,4 ,5 ,9 ]
Thamrin, Cindy [1 ,2 ,3 ]
机构
[1] Univ Sydney, Airway Physiol & Imaging Grp, Sydney, NSW, Australia
[2] Univ Sydney, Woolcock Emphysema Ctr, Woolcock Inst Med Res, Sydney, NSW, Australia
[3] Univ Sydney, Fac Med & Hlth, Cent Clin Sch, Sydney, NSW, Australia
[4] Univ Sydney, Fac Med & Hlth, Northern Clin Sch, Sydney, NSW, Australia
[5] Royal North Shore Hosp, Dept Resp Med, Northern Sydney Local Hlth Dist, St Leonards, NSW, Australia
[6] Univ British Columbia, St Pauls Hosp, Ctr Heart Lung Innovat, Vancouver, BC, Canada
[7] Univ Technol Sydney, Sch Life Sci, Translat Airways Grp, Ultimo, NSW, Australia
[8] Univ New South Wales, Fac Med, Kensington, NSW, Australia
[9] Ctr Excellence Severe Asthma, New Lambton, NSW, Australia
基金
澳大利亚国家健康与医学研究理事会; 英国医学研究理事会;
关键词
COPD; electrical impedance tomography; forced oscillation technique; ventilation heterogeneity; PRESSURE-VOLUME CURVES; FREQUENCY-DEPENDENCE; COMPUTED-TOMOGRAPHY; LUNG; AIRWAY; RECRUITMENT; MECHANICS; INHOMOGENEITIES; INFLATION; WASHOUT;
D O I
10.1152/japplphysiol.00304.2019
中图分类号
Q4 [生理学];
学科分类号
071003 ;
摘要
Pulmonary electrical impedance tomography (EIT) is a functional imaging technique that allows real-time monitoring of ventilation distribution. Ventilation heterogeneity (VH) is a characteristic feature of chronic obstructive pulmonary disease (COPD) and has previously been quantified using features derived from tidal variations in the amplitude of the EIT signal. however, VH may be better described by time-based metrics, the measurement of which is made possible by the high temporal resolution of EIT. We aimed 1) to quantify VH using novel time-based Eli metrics and 2) to determine the physiological relevance of these metrics by exploring their relationships with complex lung mechanics measured by the forced oscillation technique (FOT). We performed FOT, spirometry, and tidal-breathing EIT measurements in 11 healthy controls and 9 volunteers with COPD. Through offline signal processing, we derived 3 features from the impedance-time (Z-t) curve for each image pixel: 1) t(E) mean expiratory time; 2) PHASE, mean time difference between pixel and global Z-t curves; and 3) AMP, mean amplitude of Z-t curve tidal variation. Distribution was quantified by the coefficient of variation (CV) and the heterogeneity index (HI). Both CV and HI of the t(E) and PHASE features were significantly increased in COPD compared with controls, and both related to spirometry and FOT resistance and reactance measurements. In contrast, distribution of the AMP feature showed no relationships with lung mechanics. These novel time-based EIT metrics of VH reflect complex lung mechanics in COPD and have the potential to allow real-time visualization of pulmonary physiology in spontaneously breathing subjects. NEW & NOTEWORTHY Pulmonary electrical impedance tomography (EIT) is a real-time imaging technique capable of monitoring ventilation with exquisite temporal resolution. We report novel, time-based HIT measurements that not only demonstrate ventilation heterogeneity in chronic obstructive pulmonary disease (COPD), but also reflect oscillatory lung mechanics. These EIT measurements are noninvasive, radiation-free, easy to obtain, and provide real-time visualization of the complex pathophysiology of COPD.
引用
收藏
页码:1441 / 1452
页数:12
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