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Abstract #4821

Assessing correction factors for calculation of hepatic fatty acid composition with 1H-MRS – A multicenter setup

Benedict Korzekwa1,2, Yuliya Kupriyanova1,2, Julian Mevenkamp3, Victor Fritz4, Louisa Noelle Rodehutskors2,5, Kevin Bochinsky6,7, Henrike Heise6,7, Michael Roden1,2,8, Jürgen Machann2,4,5, and Vera Schrauwen-Hinderling1,2,3
1Institute for Clinical Diabetology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany, 2German Center for Diabetes Research (DZD e.V.), München-Neuherberg, Germany, 3Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, 4Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany, 5Institute for Diabetes Research and Metabolic Diseases (IDM), University Hospital Tübingen, Tübingen, Germany, 6Institute of Biological Information Processing, Structural Biochemistry (IBI-7), Research Center Jülich, Jülich, Germany, 7Institute of Physical Biology, Heinrich Heine University, Düsseldorf, Germany, 8Department of Endocrinology and Diabetology, Medical Faculty and University Hospital, Heinrich Heine University, Düsseldorf, Germany

Synopsis

Keywords: Data Processing, Spectroscopy

Motivation: Earlier reports established a robust way to determine hepatic FAC, but scanner-specific factors may hamper implementation at other research sites.

Goal(s): Developing reliable and reproducible post-processing corrections for consistent calculation of hepatic FAC on different clinical MR-systems.

Approach: 1H-MRS was performed in oil-water emulsions with varying concentrations on MRI systems from two different vendors, to determine post-processing correction factors for PUFA and MUFA calculations, accounting for TE induced signal loss.

Results: Similar correction factors with 0.754 ± 0.005 and 0.682 ± 0.003 for PUFA calculation and 0.999 ± 0.002 and 0.907 ± 0.001 for MUFA calculation were achieved for both sites, respectively.

Impact: Noninvasive determination of hepatic fatty acid composition supports research of metabolic disease pathology and progression. Providing consistent, site-specific processing for this 1H-MRS data is essential for comparing results in large multicenter studies with different MR-scanner setups.

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Abstract

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