Cystic fibrosis is a genetic lung disease marked by progressive decline in lung structure and function. Use of the gold standards of CT scans and pulmonary function tests (PFT's) to assess lung structure and function, respectively, are hindered by the ionizing radiation applied to the patient in CT scanning, and the inability of very young patients to perform PFTs. The goal of this research is to determine whether electrical impedance tomography (EIT) can provide sensitive measures of changes in lung structure and function in CF patients of all ages. To test this hypothesis we will study the ability of EIT images and derived measures to detect structural changes through a 3 year longitudinal study and changes pre and post-treatment for an acute PE. This project is part of a long term goal to develop an EIT system for imaging patients with chronic lung disease. EIT is a noninvasive, non-ionizing functional imaging technique in which images are formed from voltages measured on electrodes on the body arising from imperceptible applied currents. Since EIT is a safe and portable technology with no damaging side effects, it can be used as needed. This research builds on the results of a previous grant in which a strong correlation was demonstrated between EIT-derived measures of pulmonary function and PFT output measures in CF patients, and the ability to identify air trapping was demonstrated. In this work, novel EIT hardware and algorithms will be developed to obtain 3-D reconstructions with current patterns that provide the highest signal-to-noise ratio (SNR) on all electrodes. The design and validation of this improved high performance EIT system is the first specific aim. The second specific aim is to develop algorithms in 3-D for the computation of regional aeration and ventilation perfusion ratio (V/Q) maps in 3-D, and for the identification and quantification of regions of air trapping and consolidation.
The third aim i s to determine the ability of EIT to identify functional and structural physiological changes that occur with disease progression through a clinical study with the following subaims: to determine whether EIT can serve as a selective alternative for CT to identify regions of air trapping and consolidation, whether EIT can provide clinically useful information about response to treatment for an acute PE, and whether EIT can provide longitudinal information about structural changes in the lung. 1

Public Health Relevance

Cystic fibrosis (CF) is the most common fatal genetic disease in the United States, and its progression is characterized by a cumulative decline in lung function. Disease management and treatment decisions are currently guided by the results of pulmonary function tests (PFT's) to assess lung function and CT scans to assess lung structure. However, very young children are unable to perform PFT's, and CT scans expose patients to ionizing radiation, limiting its frequency of use. Electrical impedance tomography is a non-ionizing real-time imaging technique that has been shown to provide regional pulmonary information and is safe for patients of all ages. This proposal to detect changes in lung structure and function longitudinally in CF patients builds on a previous study in which EIT was demonstrated to provide comparable lung function information as PFT's and a means of visualizing air trapping in CF patients. The outputs of this study may improve the care of patients with CF and other chronic lung diseases. 1

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB026710-02
Application #
9903293
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Wang, Shumin
Project Start
2019-04-01
Project End
2022-12-31
Budget Start
2020-01-01
Budget End
2020-12-31
Support Year
2
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Colorado State University-Fort Collins
Department
Biostatistics & Other Math Sci
Type
Schools of Arts and Sciences
DUNS #
785979618
City
Fort Collins
State
CO
Country
United States
Zip Code
80523