Research on a COPD Diagnosis Method Based on Electrical Impedance Tomography Imaging
10.16476/j.pibb.2024.0452
- VernacularTitle:基于电阻抗断层成像的慢性阻塞性肺疾病诊断方法研究
- Author:
Fang LI
1
;
Bai CHEN
1
;
Yang WU
2
;
Kai LIU
1
;
Tong ZHOU
3
;
Jia-Feng YAO
4
Author Information
1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
2. College of Mechanical and Electrical Engineering, Nanjing Forestry University, Nanjing 210037, China
3. Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China
4. College of Physics and Optoelectronic Engineering, Jinan University, Guangzhou 510632, China
- Publication Type:Journal Article
- Keywords:
electrical impedance tomography (EIT);
ventilation homogeneity;
obstructive lung disease;
pulmonary function imaging;
regional lung function
- From:
Progress in Biochemistry and Biophysics
2025;52(7):1866-1877
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveThis paper proposes a novel real-time bedside pulmonary ventilation monitoring method for the diagnosis of chronic obstructive pulmonary disease (COPD), based on electrical impedance tomography (EIT). Four indicators—center of ventilation (CoV), global inhomogeneity index (GI), regional ventilation delay inhomogeneity (RVDI), and the ratio of forced expiratory volume in one second to forced vital capacity (FEV1/FVC)—are calculated to enable the spatiotemporal assessment of COPD. MethodsA simulation of the respiratory cycles of COPD patients was first conducted, revealing significant differences in certain indicators compared to healthy individuals. The effectiveness of these indicators was then validated through experiments. A total of 93 subjects underwent multiple pulmonary function tests (PFTs) alongside simultaneous EIT measurements. Ventilation heterogeneity under different breathing patterns—including forced exhalation, forced inhalation, and quiet tidal breathing—was compared. EIT images and related indicators were analyzed to distinguish healthy individuals across different age groups from COPD patients. ResultsSimulation results demonstrated significant differences in CoV, GI, FEV1/FVC, and RVDI between COPD patients and healthy individuals. Experimental findings indicated that, in terms of spatial heterogeneity, the GI values of COPD patients were significantly higher than those of the other two groups, while no significant differences were observed among healthy individuals. Regarding temporal heterogeneity, COPD patients exhibited significantly higher RVDI values than the other groups during both quiet breathing and forced inhalation. Moreover, during forced exhalation, the distribution of FEV1/FVC values further highlighted the temporal delay heterogeneity of regional lung function in COPD patients, distinguishing them from healthy individuals of various ages. ConclusionEIT technology effectively reveals the spatiotemporal heterogeneity of regional lung function, which holds great promise for the diagnosis and management of COPD.
