- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07247474
Triple EIT (Electrical Impedance Tomography)
Characterizing the Evolution of Neonatal Lung Disease Throughout Infancy and Childhood Using Electrical Impedance Tomography: A Pilot Study
This study plans to learn more about ways to look at participant's lungs using new machines called Electrical Impedance Tomography (EIT). The EIT does not use harmful radiation like CT or x-ray. It is read through electrodes like using EKG reading heartbeats.
The investigators want to compare the results of patients who have chronic respiratory disease to patients without chronic respiratory disease to learn more about lung structure and composition.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Allison Keck, BS
- Phone Number: 720-777-0734
- Email: allison.keck@childrenscolorado.org
Study Contact Backup
- Name: Katelyn Enzer, MD
- Phone Number: 7207779137
- Email: allison.keck@childrenscolorado.org
Study Locations
-
-
Colorado
-
Aurora, Colorado, United States, 80045
- Recruiting
- Children's Hospital Colorado
-
Contact:
- Allison Keck
- Phone Number: 720-777-0734
- Email: allison.keck@childrenscolorado.org
-
Principal Investigator:
- Katelyn Enzer, MD
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- 2 weeks to 25 years of age
evidence of cardiopulmonary disease including, but not limited to:
- Post-prematurity respiratory disease
- Congenital diaphragmatic hernia
- Pulmonary Hypertension
- Congenital heart disease
- Respiratory failure
- Neuromuscular Disease
- Developmental or congenital lung disease
OR matched healthy controls (born at term gestation (>36 weeks gestational age) with no cardiopulmonary disease)
Exclusion Criteria:
- <2 weeks of age
- Anything that interferes with lead placement on the chest wall (such as, dermatologic conditions, multiple chest tubes, anatomic abnormality, or large dressings that cannot be moved)
- No informed consent
- Pregnant or lactating
- Pacemaker or other metal intrathoracic surgical implant (causes noise in the data)
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Cardiopulmonary disease
Have evidence of cardiopulmonary disease including, but not limited to:
May be imaged with two machines |
Electrical impedance tomography (EIT) is a noninvasive and non-ionizing imaging technique that describes lung ventilation and perfusion
|
|
Control
matched healthy controls with no cardiopulmonary disease
|
Electrical impedance tomography (EIT) is a noninvasive and non-ionizing imaging technique that describes lung ventilation and perfusion
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
EIT Imaging Maps that provide information about regional ventilation and perfusion of the lung
Time Frame: 4 hours
|
These images will be analyzed both visually for qualitative abnormalities and through quantitative pixel analysis that can provide information regarding lung volume, blood volume, and changes in either based on respiratory cycle, cardiac cycle, or intervention.
Areas of low ventilation (atelectasis and consolidation) will be identified.
|
4 hours
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Regional Conductivity Due to Ventilation
Time Frame: 4 hours
|
This is a qualitative aim and will summarize EIT images pictorially.
Pixel densities will be evaluated for normality and summarized as mean (SD) or median (interquartile range).
EIT images will be qualitatively compared between cases and controls.
Outcome metrics may be generated to measure things such as ventilation heterogeneity
|
4 hours
|
|
Regional Conductivity Due to Perfusion
Time Frame: 4 hours
|
This is a qualitative and quantitative aim that will only be performed using the ACT5 EIT system.
Results will qualitatively compare EIT images with CXR and CT scan images when available.
Images will be displayed side by side and interpreted by both the clinician and the EIT study staff.
Various summary measures of EIT outcomes will be calculated including pixel heterogeneity, summary changes over tidal breath and variation between tidal peaks.
Pearson and Spearman correlation will be calculated between summary EIT outcomes and continuous primary clinical values.
Linear and logistic regression will be used to estimate associations (with 95% CI) between EIT measures and clinical outcomes.
Summary data will be presented in tables and figures using basic descriptive statistics stratified by study group.
|
4 hours
|
|
Comparison of Ventilation and Perfusion Ratio
Time Frame: 4 hours
|
In participants with both ventilation and perfusion metrics from the ACT5 EIT system, a regional comparison of ventilation and perfusion will be generated.
These values will indicate whether a segment of the lung has relatively more or less ventilation or perfusion.
|
4 hours
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Katelyn Enzer, MD, University of Colorado, Denver
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- 25-1298
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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