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Abstract #1776

Bayesian selection of dedicated liver iron quantification MRI for patients with clinically-significant iron overload

Takeshi Yokoo1, Ivan Pedrosa1, Diego Hernando2, and Scott B Reeder2

1UT Southwestern Medical Center, Dallas, TX, United States, 2University of Wisconsin at Madison, Madison, WI, United States

R2- and R2*-MRI has become an important clinical tool to noninvasively quantify liver iron concentration (LIC) in patients with significant iron overload who may require iron-reducing therapy. However, these highly specialized exams can only be performed on dedicated 1.5T scanners meeting certain technical specifications. Therefore, a priori selection of patients according to their pre-test probabilities of significant iron overload may help correctly match the patients’ clinical needs to the appropriate MRI scanner and exam protocol. This study derives a Bayesian patient selection criterion based on serum ferritin to identify patients who may and may not benefit from dedicated liver iron quantification MRI.

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