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Quantification of Liver Iron Overload and Steatosis Using Magnetic Resonance Imaging

Quantification of Liver Iron Overload and Steatosis Using a New Magnetic Resonance Imaging Multiecho Gradient-echo Sequence

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT00401336
Acronym
SURFER
Enrollment
250
Registered
2006-11-20
Start date
2006-11-30
Completion date
2013-03-31
Last updated
2023-05-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Alcohol Abuse, Hepatitis B, Hepatitis C, Iron Overload, Metabolic Syndrome X

Keywords

Magnetic resonance imaging, Hepatic iron, Steatosis

Brief summary

Iron excess is increasingly regarded as an important cofactor in the morbidity attributed to many disorders. Assessment of body iron stores by measurement of serum ferritin concentrations has poor specificity and the most reliable method is histological or biochemical assessment from a liver biopsy. Because liver biopsy is an invasive procedure, imaging methods have been developed to detect and quantify hepatic iron content. The aim of the study is to use a simplified magnetic resonance imaging (MRI) technique to quantify simultaneously iron and fat contents in the liver and to compare the results to the quantification obtained biochemically.

Detailed description

Iron excess is increasingly regarded as an important cofactor in the morbidity attributed to many disorders. Assessment of body iron stores by measurement of serum ferritin concentrations has poor specificity and the most reliable method is histological or biochemical assessment from a liver biopsy. Because liver biopsy is an invasive procedure, imaging methods have been developed to detect and quantify hepatic iron content. The aim of the study is to use a simplified magnetic resonance imaging technique to quantify simultaneously iron and fat contents in the liver and to compare the results to the quantification obtained biochemically. Patients who need a liver biopsy will be proposed to be enrolled in the study. A magnetic resonance (MR) study will be performed using breath-hold gradient echo sequences with a single echo and a new multiple-echo gradient-echo sequence. Liver and muscle MR signal will be quantitatively determined and compared to biochemical assessment of liver iron concentration and steatosis quantification.

Interventions

DEVICEMagnetic resonance imaging multiecho gradient-echo sequence

Breath-hold gradient echo sequences with a single echo and a new multiple-echo gradient-echo sequence

Sponsors

Ministry of Health, France
CollaboratorOTHER_GOV
Rennes University Hospital
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Adults over 18, * Planned liver biopsy (or liver biopsy within 2 months before inclusion) for one of these indications: suspicion of liver iron overload, metabolic syndrome, hepatitis B or C, alcohol abuse. No change in diet, transfusions or iron depletion must have occur between the liver biopsy and the MRI. * Having given a written informed consent.

Exclusion criteria

* Non cooperating patient, * Patient with dyspnea, * Patient with contra-indication to MR imaging (pace-maker, heart valve,...).

Design outcomes

Primary

MeasureTime frame
Liver to muscle signal intensity ratio and T2* calculation versus liver iron concentrationduring examination

Secondary

MeasureTime frame
Influence of the antenna for the multiecho gradient-echo sequenceduring examination
Difference between in-phase and out-phase T2* calculation versus liver fat concentrationduring examination
Correlation between biochemical and MRI quantification of liver ironduring examination
Correlation between participating centersduring examination
Reproducibility of the multiecho gradient-echo sequenceduring examination

Countries

France, Spain

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026