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

Synopsis

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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