MR Fingerprinting: A Novel Sequence Applied to Neuroimaging

Disease;Neurological Clinical Trial

Official title:

MR Fingerprinting: A Novel Sequence Applied to Neuroimaging

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT03800537
• Other study ID #: 18-2071
• Status: Completed
• Phase: N/A
• Start date: March 8, 2019
• Est. completion date: August 18, 2022

Study information

• Verified date: August 2022
• Source: University of North Carolina, Chapel Hill
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

Magnetic Resonance Imaging (MRI) has become one of most important medical imaging tools over the past 30 years because it is non-invasive, requires no ionizing radiation, and provides exquisite images of soft tissues and anatomic structures with many tissue/disease specific contrasts. While MRI has served the community well for many years, it is increasingly clear that it also has significant limitations.

One of the principle limitations is the lack of quantitative information for tissue/structure characterization. The current paradigm of MRI is to use a set of scanner settings to generate an image "weighted" by a specific MR contrast mechanism (physical parameter), where it is hoped that variations in the parameter will be accentuated. However, without quantitative knowledge of the parameters, the final image contrast may depend on many factors, which complicates image interpretation and diagnostic performance. Quantitative measurement can provide a great deal of information about tissue properties and pathological conditions, since these parameters ultimately determine the contrast that is observed in conventional images.

Description:

The purpose of this study is to evaluate novel quantitative MRI techniques in clinical studies to determine whether they can provide better, faster and more useful information for clinical diagnosis. Quantitative MRI has been a continuous interest in the MRI community, but extremely challenging due to long acquisition times and sensitivity to motion. Recently, the investigators have introduced a novel MRI data acquisition approach, namely MR Fingerprinting (MRF), for simultaneous measurement of several important parameters in a single MRI scan.

In this study, the investigators propose to apply MR Fingerprinting at UNC and evaluate its performance for different neurological diseases. The investigators hypothesize that the quantitative MR imaging technique will lead to improved tissue characterization and diagnosis.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 14
• Est. completion date: August 18, 2022
• Est. primary completion date: August 18, 2022
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years to 99 Years

Eligibility

Inclusion Criteria:

• The study will include English-speaking patients that are already scheduled to undergo a clinical neurological MRI for diagnostic purposes.

Exclusion Criteria:

• Pregnant women will be excluded.

Related Conditions & MeSH terms

• Disease;Neurological
• Nervous System Diseases

Intervention

Device:
• MR Fingerprinting
The MR fingerprinting technique requires less than 15 minutes and will be added following the standard MRI sequence.

Locations

Country	Name	City	State
United States	University of North Carolina at Chapel Hill	Chapel Hill	North Carolina

Sponsors (1)

Lead Sponsor	Collaborator
University of North Carolina, Chapel Hill

Country where clinical trial is conducted

United States, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Percent of Participants With Visible Region of Interest (Imaging Visibility)	Magnetic Resonance (MR) fingerprinting sequences will be examined to determine their utility for visualizing pathology.	Immediately following MRI completion, within approximately 5 minutes