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Author Spotlight: A Non-Invasive Tool to Assess and Differentiate Fat Patterns in Liver Using 3D Dixon MRI
Published on: October 20, 2023
[Techniques for quantification of liver fat in risk stratification of diabetics]
J-P Kühn1, M C Spoerl, C Mahlke
1Abteilung Experimentelle Radiologie, Institut für Diagnostische Radiologie und Neuroradiologie, Universitätsmedizin Greifswald, Sauerbruchstr. 1, 17489, Greifswald, Deutschland, kuehn@uni-greifswald.de.
Clinical/Methodical Issue:
Fatty liver disease plays an important role in the development of type 2 diabetes. Accurate techniques for detection and quantification of liver fat are essential for clinical diagnostics.
Standard Radiological Methods:
Chemical shift-encoded magnetic resonance imaging (MRI) is a simple approach to quantify liver fat content.
Methodical Innovations:
Liver fat quantification using chemical shift-encoded MRI is influenced by several bias factors, such as T2* decay, T1 recovery and the multispectral complexity of fat.
Performance:
The confounder corrected proton density fat fraction is a simple approach to quantify liver fat with comparable results independent of the software and hardware used.
Achievements:
The proton density fat fraction is an accurate biomarker for assessment of liver fat.
Practical Recommendations:
An accurate and reproducible quantification of liver fat using chemical shift-encoded MRI requires a calculation of the proton density fat fraction.
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