Real-Time Assessment of Lung Structure and Function in CF Patients using Electrical Impedance Tomography

Information

  • Research Project
  • 10085224
  • ApplicationId
    10085224
  • Core Project Number
    R01EB026710
  • Full Project Number
    5R01EB026710-03
  • Serial Number
    026710
  • FOA Number
    PA-18-484
  • Sub Project Id
  • Project Start Date
    4/1/2019 - 5 years ago
  • Project End Date
    8/31/2023 - 10 months ago
  • Program Officer Name
    WANG, SHUMIN
  • Budget Start Date
    9/1/2021 - 2 years ago
  • Budget End Date
    8/31/2022 - a year ago
  • Fiscal Year
    2021
  • Support Year
    03
  • Suffix
  • Award Notice Date
    9/18/2021 - 2 years ago

Real-Time Assessment of Lung Structure and Function in CF Patients using Electrical Impedance Tomography

Project Summary 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 is 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

IC Name
NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING
  • Activity
    R01
  • Administering IC
    EB
  • Application Type
    5
  • Direct Cost Amount
    451334
  • Indirect Cost Amount
    82723
  • Total Cost
    534057
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    286
  • Ed Inst. Type
    SCHOOLS OF ARTS AND SCIENCES
  • Funding ICs
    NIBIB:534057\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    BMIT
  • Study Section Name
    Biomedical Imaging Technology Study Section
  • Organization Name
    COLORADO STATE UNIVERSITY
  • Organization Department
    BIOSTATISTICS & OTHER MATH SCI
  • Organization DUNS
    785979618
  • Organization City
    FORT COLLINS
  • Organization State
    CO
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    805232002
  • Organization District
    UNITED STATES