MR Fingerprinting: A Novel Sequence Applied to Neuroimaging

NCT ID: NCT03800537

Last Updated: 2023-06-12

Basic Information

• Recruitment Status: COMPLETED
• Clinical Phase: NA
• Total Enrollment: 14 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2019-03-08
• Study Completion Date: 2022-08-18

Brief 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.

Detailed 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.

Conditions

Disease;Neurological

Study Design

• Allocation Method: NA
• Intervention Model: SINGLE_GROUP
• Primary Study Purpose: OTHER
• Blinding Strategy: NONE

Study Groups

All Participants

All participants will receive the investigational MR Fingerprinting sequence.

Group Type: EXPERIMENTAL

MR Fingerprinting

Intervention Type: DEVICE

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

Interventions

MR Fingerprinting

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

Intervention Type: DEVICE

Eligibility Criteria

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.

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 99 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

University of North Carolina, Chapel Hill

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Yueh Z Lee, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

University of North Carolina, Chapel Hill

Locations

University of North Carolina at Chapel Hill

Chapel Hill, North Carolina, United States

Countries

United States

Provided Documents

Document Type: Study Protocol and Statistical Analysis Plan

View Document

Document Type: Informed Consent Form

View Document

Other Identifiers

18-2071

Identifier Type: -

Identifier Source: org_study_id