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Abstract #2670

Hepatic PDFF quantification using phase-cycled bSSFP: First-in-patient study

Berk Can Acikgoz1,2,3, Adèle L.C. Mackowiak4, Giulia M.C. Bongiolatti-Rossi4, Tom Hilbert4,5,6, Jean-Baptiste Ledoux4,7, Naik Vietti-Violi4, and Jessica A.M. Bastiaansen1,2
1Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland, 2Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland, 3Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland, 4Department of Radiodiagnosis and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 5Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 6LTS5, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 7Center for Biomedical Imaging (CIBM), Lausanne, Switzerland

Synopsis

Keywords: Liver, Liver, phase-cycled bSSFP, PDFF, patients, MASLD, steatosis

Motivation: Phase-cycled bSSFP-based fat fraction mapping has yet to be evaluated in a clinical setting involving patients.

Goal(s): To evaluate the feasibility of phase-cycled bSSFP-based fat fraction mapping in liver disease patients, assessing its capabilities and potential in clinical practice.

Approach: 2D golden angle radial phase-cycled bSSFP data were prospectively acquired in liver patients during a single breath hold. Obtained fat fraction maps were compared with Dixon-based clinical standard maps.

Results: Bland-Altman analyses with limits of agreement (LOA) of -2.5%±1.96×2.8%, and linear regression fitted lines y=1.18x+2.5 with R²=0.72, demonstrated a good agreement between phase-cycled bSSFP-based fat fraction and reference maps.

Impact: Fat fraction mapping with phase-cycled bSSFP is feasible in patients, presenting a non-invasive alternative to biopsy and MRS. Its high SNR and robustness against T1 bias might make it a powerful alternative to existing methods in liver steatosis assessment.

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Keywords