- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02025543
Confounder-Corrected Quantitative MRI Biomarker of Hepatic Iron Content
Confounder-Corrected Quantitative Magnetic Resonance Imaging (MRI) Biomarker of Hepatic Iron Content
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
This multi-center, multi-vendor study will validate a rapid magnetic resonance-based confounder-corrected R2* mapping method as a quantitative imaging biomarker of liver iron concentration (LIC). Excessive accumulation of iron in various organs, including the liver, which affects both adult and pediatric populations, is toxic and requires treatment aimed at reducing body iron stores. Measurement of LIC is critical for detection and staging of iron overload, and for monitoring iron-reducing chelator therapies that are expensive and have side effects. Magnetic Resonance Imaging (MRI) is a widely available, accessible, and safe technology, and it is very sensitive to the presence of iron in tissue. Translation of an MRI biomarker of liver iron concentration into broad clinical use requires that it is clinically feasible, precise, robust to changes in scan parameters, calibrated to a validated reference standard of LIC, and is reproducible across sites and manufacturers. There are currently no available MRI methods that meet these requirements. R2*-MRI holds the greatest promise to meet these requirements. R2* mapping can be performed very rapidly with whole-liver 3D coverage in a single 20s breath-hold.
Protocol Modification approved to include additional liver susceptibility measurements for approximately 10 participants (already enrolled at the UW) via recently acquired Superconducting Quantum Interference Device (SQUID). The completion of this additional imaging will depend upon the successful set up and installation of this device.
Per a protocol amendment approved on 10/11/21, the investigators are re-opening the study and increasing enrollment for control subjects. Up to 20 control subjects (changed from 5) will be enrolled.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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California
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Palo Alto, California, United States, 94087
- Stanford University
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Maryland
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Baltimore, Maryland, United States, 21218
- Johns Hopkins University
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Texas
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Dallas, Texas, United States, 75390
- University of Texas-Southwestern
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Wisconsin
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Madison, Wisconsin, United States, 53704
- University of Wisconsin, Madison
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- know or suspected iron overload
- minimum age: Stanford- 8years , University of Wisconsin - 10 years, John Hopkins follow- 10 years, University of Texas-Southwestern - 18 years
Exclusion Criteria:
- contraindication to magnetic resonance imaging
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Patient Group
Subjects with known or suspected iron overload will undergo serum ferritin measurement and an MRI scan.
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R2 MRI scan
Other Names:
|
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Control Group
Subjects with no known history of iron overload or liver disease will undergo an MRI scan.
|
R2 MRI scan
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Calibration curve of liver R2* vs LIC measured by Ferriscan at each of the sites
Time Frame: 1 year
|
The hypothesis is that equivalence between R2 measured with different protocols with higher repeatability than standard MRI iron imaging measurement and with linear calibration to liver iron concentration will be demonstrated.
This project will be considered a success if the reproducibility of confounder-corrected R2 MRI is established: the hypothesis is that calibrations at all sites will be equivalent.
|
1 year
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Precision: Difference in UW-measured R2* vs Average
Time Frame: 2 years
|
Repeat scans will be used at each site to determine precision of R2 liver iron concentration.
Repeat scans on n=25 subjects per site will be used to determine Bland-Altman 95% limits of agreement (LOA) by plotting the difference in UW-measured R2* vs average.
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2 years
|
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Diagnostic Accuracy
Time Frame: 2 years
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In addition to correlation with liver iron concentration (technical accuracy), the diagnostic accuracy through receiver operator characteristic curve analysis will also be determined.
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2 years
|
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Robustness Assessed via Linear Mixed Effects Regression
Time Frame: 2 years
|
At each site and field strength, R2* measurements from the eight different protocols will be compared to assess robustness.
Robustness will be assessed via linear mixed effects regression.
|
2 years
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Scott Reeder, University of Wisconsin, Madison
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimated)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2013-1174
- A539300 (Other Identifier: UW Madison)
- SMPH/RADIOLOGY/RADIOLOGY* (Other Identifier: UW Madison)
- R01DK100651 (U.S. NIH Grant/Contract)
- Protocol Version 12/12/22 (Other Identifier: UW Madison)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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