Abstract #1052

Multi-center, multi-vendor validation of PDFF-R2* mapping in an Optimized Fat-Iron Phantom

Jitka Starekova¹, David Rutkowski², Won C Bae³, Hung Do⁴, Ananth Madhuranthakam⁵, Vadim Malis³, Sujoy Mukherjee⁵, Sheng Qing Lin⁵, Suraj Serai⁶, Takeshi Yokoo⁵, Scott B Reeder^1,7,8,9,10, Jean H Brittain², and Diego Hernando^1,8

¹Radiology, University of Wisconsin-Madison, Madison, WI, United States, ²Calimetrix, Madison, Wisconsin, Madison, WI, United States, ³Radiology, University of California, San Diego, San Diego, CA, United States, ⁴Canon Medical Systems, Tustin, CA, United States, ⁵Radiology, UT Southwestern, Medical Center, Dallas, TX, United States, ⁶Radiology, Children’s Hospital of Philadelphia, Philadelphia, PA, United States, ⁷Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, ⁸Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, ⁹Medicine, University of Wisconsin-Madison, Madison, WI, United States, ¹⁰Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States

Synopsis

Keywords: Validation, Phantoms

Reliable, quantitative assessment of fat and iron is important in the management of chronic liver diseases. Confounder-corrected chemical-shift-encoded (CSE)-MRI estimates proton-density fat-fraction (PDFF) and R2* as quantitative biomarkers for fat and iron, which have been shown to be highly reproducible across centers, field strengths and manufacturers. However, reproducibility in the setting of concomitantly high levels of fat and iron is poorly understood.

To ensure the fidelity of CSE-MRI in clinical routine, a validation study was performed under controlled conditions on a phantom that modulates fat and iron simultaneously. Excellent multi-center and multi-vendor reproducibility of CSE-MRI PDFF and R2* was found.

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