RECRUITINGOBSERVATIONAL
Fully Automated High-Throughput Quantitative MRI of the Liver
About This Trial
The purpose of this research is to see if a new automated magnetic resonance imaging (MRI) method will be able to improve the images taken of the liver. Participants will have either known or suspected liver disease, known or suspected iron overload syndrome, or be a healthy adult. Participants will be in the research study for one day.
Who May Be Eligible (Plain English)
Eligibility Criteria for Substudies 1, 2, 4, 5
Who May Qualify:
- Age 18 years or older
Who Should NOT Join This Trial:
- Patients with contraindication to MRI (e.g. pacemaker, contraindicated metallic implants, claustrophobia, etc)
- Pregnant or trying to become pregnant (as determined by self-report during MRI safety screening)
Eligibility Criteria for Substudy 3
Who May Qualify:
- Age 7 years or older
- One of:
- Known or suspected liver iron overload
- Known or suspected elevated liver fat
Who Should NOT Join This Trial:
- Patients with contraindication to MRI (e.g. pacemaker, contraindicated metallic implants, claustrophobia, etc)
- Patients requiring intravenous (IV) conscious sedation for imaging are not eligible; patients requiring mild, oral anxiolytics for the MRI will be allowed to participate as long as the following criteria are met:
- The subject has their own prescription for the medication.
- The willing to sign a consent form process is conducted prior to the self-administration of this medication
- They come to the research visit with a driver
- Pregnant or trying to become pregnant (as determined by self-report during MRI safety screening)
Eligibility Criteria for Substudy 6
Who May Qualify:
- Age 7 years or older
- Scheduled for a clinical abdominal MRI exam
Who Should NOT Join This Trial:
- Patients with contraindication to MRI (e.g. pacemaker, contraindicated metallic implants, claustrophobia, etc)
- Sedation required for MRI
- Pregnant or trying to become pregnant (as determined by self-report during MRI safety screening)
Always talk to your doctor about whether this trial is right for you.
Original Eligibility Criteria
View original clinical language
Eligibility Criteria for Substudies 1, 2, 4, 5
Inclusion Criteria:
* Age 18 years or older
Exclusion Criteria:
* Patients with contraindication to MRI (e.g. pacemaker, contraindicated metallic implants, claustrophobia, etc)
* Pregnant or trying to become pregnant (as determined by self-report during MRI safety screening)
Eligibility Criteria for Substudy 3
Inclusion Criteria:
* Age 7 years or older
* One of:
* Known or suspected liver iron overload
* Known or suspected elevated liver fat
Exclusion Criteria:
* Patients with contraindication to MRI (e.g. pacemaker, contraindicated metallic implants, claustrophobia, etc)
* Patients requiring intravenous (IV) conscious sedation for imaging are not eligible; patients requiring mild, oral anxiolytics for the MRI will be allowed to participate as long as the following criteria are met:
* The subject has their own prescription for the medication.
* The informed consent process is conducted prior to the self-administration of this medication
* They come to the research visit with a driver
* Pregnant or trying to become pregnant (as determined by self-report during MRI safety screening)
Eligibility Criteria for Substudy 6
Inclusion Criteria:
* Age 7 years or older
* Scheduled for a clinical abdominal MRI exam
Exclusion Criteria:
* Patients with contraindication to MRI (e.g. pacemaker, contraindicated metallic implants, claustrophobia, etc)
* Sedation required for MRI
* Pregnant or trying to become pregnant (as determined by self-report during MRI safety screening)
Treatments Being Tested
DEVICE
Non-contrast MRI with novel MRI software
The investigational software being used in automatic prescription of the imaging is an application of an AI algorithm. This software prescribes where the MRI system will take images by finding the liver within a set of localizer scans. The software gives coordinates to the scanner.
Locations (1)
University of Wisconsin
Madison, Wisconsin, United States