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Iron overload is a severe complication of multiple blood transfusions. As the body has no physiologic mechanism for clearing iron, repeated transfusions cause iron accumulation in organs and lead to iron toxicity. Accurate assessment of iron overload is paramount to quantify excessive iron accumulation and to monitor response to iron chelation therapy. Magnetic resonance imaging (MRI) methods have been used to noninvasively measure hepatic iron concentration (HIC). Although MRI-based measurements of transverse relaxation rates (R2 and R2*) accurately predict biopsy-proven HICs below 15 mg Fe/g, previous studies have shown that their precision is limited for HICs above 15 mg Fe/g and inaccurate above 25 mg Fe/g. Current R2* gradient-echo (GRE) MR techniques fail occasionally for very high iron overloads (HIC ~ 15-25 mg Fe/g) and always for massive iron overloads (HIC > 25 mg Fe/g) because R2* is so high that the MR signal decays before it can be measured accurately.
Overall accrual: 200 patients
Purpose: To determine if a new MRI (UTE) can measure the amount of iron in the liver of people with large amounts of iron and compare the results with the same patient's liver bx. Estimated patient accrual is 150. It is estimated that 41 of these patients will have clinical indication for liver biopsy.
Full description
The MIDAS study is a prospective and non-therapeutic study that will test a new MRI technique for the assessment of iron overload in the liver: the newly developed ultra short echo time (UTE), R2*-UTE. The R2*-UTE technique, developed by St. Jude investigators from the Department of Radiological Sciences, will be first tested in healthy volunteers for feasibility and implementation of the technique. The technique will then be tested in research participants, who will have both the R2*-GRE and the R2*-UTE techniques performed, in addition to a liver biopsy for liver iron quantitation if clinically indicated. Quantitation of liver tissue iron will be done at Mayo Clinic Laboratory in Rochester, Minnesota.
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142 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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