Pulmonary Function Assessment and Evaluation Using Self-administrable and Portable Electrical Impedance Tomography

Spirometry is the most commonly used modality for measuring lung function. However, spirometry is a coordination-dependent test and may lead to erroneous results if subjects are unable to fully comply with the instructions. It also lacks the capability for regional assessment of pulmonary functions. Electrical impedance tomography (EIT) is a potential alternative test to spirometry. EIT has been employed in clinical use to provide qualitative and quantitative measurements of ventilation in patients on mechanical ventilators to prevent lung damage or patient-ventilator desynchronies. In this study, we aim to utilize EIT lung device to study EIT-derived indicators in pulmonary functional assessment and develop novel biomarkers for detecting and monitoring pulmonary diseases. This is a non-interventional clinical study on patients with chronic lung diseases, to establish the feasibility of using EIT-lung device in detecting lung functional changes. Specifically, we will establish the relationship between EIT-derived functional indicators and spirometry results. Furthermore, we will explore, develop, and establish EIT-derived regional lung functional indicators in healthy and chronic diseased states. Subjects with underlying lung disease, and age- and gender-matched healthy control subjects will be recruited in this study. They will perform spirometry and EIT examination, as well as an interview with a structured questionnaire. The results from spirometry and EIT test will be correlated and compared to identify the feasibility and accuracy of EIT lung device. Lung function parameters (e.g. FEV1, FVC, and FEV1/FVC ratio) measured using a spirometer would also be calculated from lung flow-volume curves derived from continuous EIT functional images. Regional lung function assessment will also be explored using EIT, and establish regional EIT features that could assist in screening and evaluating different chronic lung diseases. The EIT-derived indicators will be finall