Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
663-01-008 ISMRM Abstract

Optimizing Liver Iron Quantification: Bayesian Ferritin Stratification for Detection of Significant Liver Iron Overload

Primary: Body - Liver
Secondary: Analysis Methods - Classification and Prediction
663-01-008 · Diffusion MRI, Iron Quantification, and Steatosis in Human and Preclinical Studies · Thursday, 14 May, 8:30 AM–9:25 AM · Digital Posters Row D
Keywords: Blood Diagnosis/Prediction Hematologic Iron Overload Bayesian model
Accepted
Felix Schön 1,2, Diego Hernando1,3, Moniba Nazeef4, Scott B Reeder1,3,5,6,7, Takeshi Yokoo8
1Department of Radiology, University of Wisconsin - Madison, Madison, United States of America
2Institute and Polyclinic for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Carl Gustav Carus Dresden, TU Dresden, Dresden, Germany
3Department of Medical Physics, University of Wisconsin - Madison, Madison, United States of America
4Division of Hematology, Medical Oncology and Palliative Care, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, United States of America
5Department of Biomedical Engineering, University of Wisconsin - Madison, Madison, United States of America
6Department of Medicine, University of Wisconsin - Madison, Madison, United States of America
7Department of Emergency Medicine, University of Wisconsin - Madison, Madison, United States of America
8Department of Radiology, University of Texas Southwestern Medical Center, Dallas, United States of America
Presenting Author: Felix Schön

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References

1. Reeder SB, Yokoo T, Franca M, et al. Quantification of Liver Iron Overload with MRI: Review and Guidelines from the ESGAR and SAR. Radiology. 2023;307(1):e221856. doi:10.1148/radiol.221856 [doi]
2. Hernando D, Zhao R, Yuan Q, et al. Multicenter Reproducibility of Liver Iron Quantification with 1.5-T and 3.0-T MRI. Radiology. 2023;306(2):e213256. doi:10.1148/radiol.213256 [doi]
3. St Pierre TG, El‐Beshlawy A, Elalfy M, et al. Multicenter validation of spin‐density projection‐assisted R2‐MRI for the noninvasive measurement of liver iron concentration. Magn Reson Med. 2014;71(6):2215-2223. doi:10.1002/mrm.24854 [doi]
4. Yokoo T, Pedrosa I, Hernando D, Reeder SB. Bayesian selection of dedicated liver iron quantification MRI for patients with clinically-significant iron overload. ISMRM. 2019:1779.
5. St Pierre TG, Clark PR, Chua-anusorn W., et al. Noninvasive measurement and imaging of liver iron concentrations using proton magnetic resonance. Blood. 2005;105(2):855-861. doi:10.1182/blood-2004-01-0177 [doi]
6. Taher A, Musallam K, Cappellini MD. Guidelines for the Management of Non-Transfusion-Dependent β-Thalassaemia. 3rd edition. Thalassaemia International Federation; 2023.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/663-01-008