- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02232841
Electrical Impedance Imaging of Patients on Mechanical Ventilation
January 30, 2017 updated by: Colorado State University
Pilot Study: Electrical Impedance Imaging of Patients on Mechanical Ventilation With Lung Pathology
The goal of this study is to evaluate the sensitivity and specificity of Electrical Impedance Tomography (EIT) as a bedside diagnostic tool for lung pathologies in patients who are mechanically ventilated.
In electrical impedance tomography low amplitude, low frequency current is applied on electrodes, and the resulting voltage is measured and used to computed the electrical properties of the interior of the chest as they change in time.
The computed properties are used to form an image, which can then be used for monitoring and diagnosis.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Detailed Description
The goal of this study is to characterize the ability of the electrical impedance tomography system (hardware and software) to distinguish between lung pathologies by assessing the sensitivity and specificity as well as the overall agreement with the CT scan in terms of spatial resolution.
The study will test, as well as refine, the mathematical algorithms needed to create meaningful outputs on adult patients receiving mechanical ventilation and who also have received or will be receiving a CT scan as part of their standard of care.
Study Type
Observational
Enrollment (Actual)
2
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Colorado
-
Loveland, Colorado, United States, 80538
- Medical Center of the Rockies
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
Mechanically ventilated adult intensive care unit patients at Medical Center of the Rockies with pulmonary pathology who have received or will be receiving a CT scan as part of their standard care
Description
Inclusion Criteria:
- Patients admitted to the ICU at Medical Center of the Rockies and on mechanical ventilation
- Age greater than or equal to 18
- Computed Tomography of the chest during normal course of hospital admission
Exclusion Criteria:
- Age <18
- Any skin disorder that would prevent placement of the electrodes on the chest wall
- Hemodynamic instability prohibiting patient from being moved to place the device
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Mechanical ventilation
Hospitalized adult patients with lung injury receiving mechanical ventilation and who also have received or will receive a CT scan as part of their standard care
|
Subjects will receive mechanical ventilation as part of their standard of care, as specified in the enrollment criteria
Subjects will receive a CT scan as part of their standard of care, as specified in the enrollment criteria
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Sensitivity and specificity for diagnosing lung pathology
Time Frame: One year
|
The sensitivity and specificity of EIT for the detection and identification of different types of lung pathology will be assessed with clinical diagnosis aided by CT scan as the gold standard.
|
One year
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Regional correlation with CT scan
Time Frame: One year
|
The spatial correlation between the organs and lung pathology in the CT scan image in the plane of the electrodes and the EIT image will be computed.
|
One year
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Jennifer L Mueller, Ph.D., Colorado State University
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start
September 1, 2014
Primary Completion (Actual)
August 1, 2016
Study Completion (Actual)
August 1, 2016
Study Registration Dates
First Submitted
June 10, 2014
First Submitted That Met QC Criteria
September 3, 2014
First Posted (Estimate)
September 5, 2014
Study Record Updates
Last Update Posted (Estimate)
February 1, 2017
Last Update Submitted That Met QC Criteria
January 30, 2017
Last Verified
July 1, 2016
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Pathologic Processes
- Respiratory Tract Diseases
- Respiration Disorders
- Lung Diseases
- Wounds and Injuries
- Infant, Newborn, Diseases
- Pleural Diseases
- Lung Injury
- Infant, Premature, Diseases
- Wounds, Nonpenetrating
- Pneumothorax
- Pulmonary Atelectasis
- Emphysema
- Respiratory Distress Syndrome
- Respiratory Distress Syndrome, Newborn
- Acute Lung Injury
- Pulmonary Edema
- Pleural Effusion
- Contusions
Other Study ID Numbers
- 13-4656H
- 1R21EB016869-01A1 (U.S. NIH Grant/Contract)
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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