About this trial
Healthy volunteers aged 18 to 85 will undergo ¹⁹F (perfluoropropane) MRI to support the development of imaging sequences, reconstruction algorithms, and hardware necessary for acquiring high-spatial resolution lung images. The study will also evaluate signal-to-noise ratio, contrast-to-noise ratio, spatial resolution, scan duration, and pulmonary gas exchange measurements derived from ¹⁹F (perfluoropropane) MRI.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Patient understands study procedures and is willing to participate in the study as indicated by the patient's signature.
Provision of written, informed consent prior to any study specific procedures.
Males and females aged 18 to 85 years.
Participant must be able to perform a breath-hold for 16s.
Disqualifiers
Patient has an MR incompatible implanted mechanically, electrically, or magnetically activated device or any metal in their body which cannot be removed, including but not limited to pacemakers, neurostimulators, biostimulators, implanted insulin pumps, aneurysm clips, bioprosthesis, artificial limb, metallic fragment or foreign body, shunt, surgical staples (including clips or metallic sutures and/or ear implants) (at the discretion of the MRI Technologist).
In the investigator's opinion, subject suffers from any physical, psychological or other condition(s) that might prevent performance of the MRI or CT, such as severe claustrophobia.
Participants who are pregnant, breastfeeding or have a positive pregnancy test at initial screening visit.
Participant is unable to perform spirometry maneuvers.
Trial design
Single group
Treatments tested in this trial
19F(perfluoropropane) MRI
Device19F(perfluoropropane) MRI is an emerging technique for imaging lung ventilation using inhaled, inert fluorinated gas. In contrast to proton-based MRI imaging, perfluoropropane gas is used as a contrast agent to directly visualize the airways, and thus ventilation. In this study, we aim to develop and evaluate an inert fluorinated gas-based MRI (19F MRI) technique to enhance non-invasive imaging in healthy adults without a history of acute or chronic respiratory disease.
Treatment groups
Trial outcomes
Primary outcomes
Image spatial resolution
The primary endpoints are to assess the necessary imaging sequences, reconstruction algorithms, and hardware to acquire high spatial resolution lung images from MRI. Image spatial resolution (mm) is the ability of the imaging system to distinguish small structures, expressed as the smallest detectable detail in millimeters. Higher spatial resolution (smaller values) allows finer anatomical detail to be visualized.
Signal-to-noise ratio (SNR)
A quantitative measure of image quality that compares the level of the desired signal to the background noise in an MRI image. Higher SNR values indicate clearer images with less noise, allowing for better visualization of anatomical structures.
Contrast-to-noise ratio (CNR)
A measure of how well different tissues or structures can be distinguished from each other in an image relative to background noise. Higher CNR indicates better contrast and improved visibility of anatomical differences.
Scan duration (minutes)
The total time required to complete the imaging acquisition for the protocol, measured in minutes.
Secondary outcomes
Ventilation Defect Percent (VDP) of the lung
VDP is a widely used noble gas MRI biomarkers that is calculated by normalizing ventilation defect volume to the thoracic cavity.
Fractional Ventilation (r)
Fractional Ventilation (r) is a quantitative imaging biomarker representing the fraction of gas volume in a lung region that is replaced by fresh inhaled air during a single breath. It is calculated using gas magnetic resonance imaging (MRI), where dynamic imaging tracks the wash-in and wash-out of inhaled gases (e.g., 19F (perfluoropropane)) within lung voxels. Fractional ventilation provides a regional measure of pulmonary ventilation efficiency and heterogeneity.
Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Alexei Ouriadov
Lead sponsor
Western University
Sponsor institution
St. Joseph's Health Care London
Collaborator
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