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Abstract #0026

Multi-Center, Multi-Vendor Calibration and Validation of Liver Iron Quantification using R2*-MRI at 1.5T and 3T

Diego Hernando1, Ruiyang Zhao1, Qing Yuan2, Mounes Aliyari Ghasabeh3, Stefan Ruschke4, Xinran Miao1, Dimitrios C. Karampinos4, Lu Mao1, David T. Harris1, Ryan J. Mattison1, Michael R. Jeng5, Ivan Pedrosa2, Ihab R. Kamel3, Shreyas Vasanawala5, Takeshi Yokoo2, and Scott B. Reeder1
1University of Wisconsin-Madison, Madison, WI, United States, 2University of Texas Southwestern Medical Center, Dallas, TX, United States, 3The Johns Hopkins University, Baltimore, MD, United States, 4Technical University of Munich, Munich, Germany, 5Stanford University, Palo Alto, CA, United States


We report the final results of an NIH funded study of MRI-based quantification of liver iron. R2* MRI enables quantification of liver iron concentration (LIC), but the cross-vendor differences of R2*-based LIC estimation remain unknown. Therefore, we evaluated the performance of R2*-based LIC via a single-breath-hold, confounder-corrected R2*-MRI at both 1.5T and 3T, through a multi-center, multi-vendor study. We confirmed a linear relationship between R2* and LIC, with highly similar calibrations across centers and vendors. Calibrations for 1.5T and 3T were generated. The data generated in this study provide the necessary multi-center calibrations for broad dissemination of R2*-based LIC quantification.

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