Open Access 01-04-2012 | Magnetic Resonance
Effects of microperfusion in hepatic diffusion weighted imaging
Published in: European Radiology | Issue 4/2012
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Objective
Clinical hepatic diffusion weighted imaging (DWI) generally relies on mono-exponential diffusion. The aim was to demonstrate that mono-exponential diffusion in the liver is contaminated by microperfusion and that the bi-exponential model is required.
Methods
Nineteen fasting healthy volunteers were examined with DWI (seven b-values) using fat suppression and respiratory triggering (1.5 T). Five different regions in the liver were analysed regarding the mono-exponentially fitted apparent diffusion coefficient (ADC), and the bi-exponential model: molecular diffusion (D
slow
), microperfusion (D
fast
) and the respective fractions (f
slow/fast
). Data were compared using ANOVA and Kruskal–Wallis tests. Simulations were performed by repeating our data analyses, using just the DWI series acquired with b-values approximating those of previous studies.
Results
Median mono-exponentially fitted ADCs varied significantly (P < 0.001) between 1.107 and 1.423 × 10−3 mm2/s for the five regions. Bi-exponential fitted Dslow varied between 0.923 and 1.062 × 10−3 mm2/s without significant differences (P = 0.140). D
fast
varied significantly, between 17.8 and 46.8 × 10−3 mm2/s (P < 0.001). F-tests showed that the diffusion data fitted the bi-exponential model significantly better than the mono-exponential model (F > 21.4, P < 0.010). These results were confirmed by the simulations.
Conclusion
ADCs of normal liver tissue are significantly dependent on the measurement location because of substantial microperfusion contamination; therefore the bi-exponential model should be used.
Key Points
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Diffusion weighted MR imaging helps clinicians to differentiate tumours by diffusion properties
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Fast moving water molecules experience microperfusion, slow molecules diffusion
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Hepatic diffusion should be measured by bi-exponential models to avoid microperfusion contamination
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Mono-exponential models are contaminated with microperfusion, resulting in apparent regional diffusion differences
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Bi-exponential models are necessary to measure diffusion and microperfusion in the liver