Assessment of the link between quantitative biexponential diffusion-weighted imaging and contrast-enhanced MRI in the liver |
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| Affiliation: | 1. University of Groningen, University Medical Center Groningen, Center for Medical Imaging - North East Netherlands, EB44, PO Box 30001, 9700, RB, Groningen, The Netherlands;2. University of Groningen, University Medical Center Groningen, Department of Radiology, EB44, PO Box 30001, 9700, RB, Groningen, The Netherlands;1. Department of Medical Imaging, Ziekenhuis Oost-Limburg, Genk, Belgium;2. Department of Radiology, Hôpital Tenon, Paris, France;3. Department of Obstetrics & Gynecology, Ziekenhuis Oost-Limburg, Genk, Belgium;4. Faculty of Medicine and Biomedicine at Hasselt University, Diepenbeek, Belgium;1. Department of Radiology, University of Chicago Medical Center, 5841 South Maryland Avenue, Chicago, IL 60637, USA;2. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China;1. Department of Diagnostic Imaging, The Hospital For Sick Children and Medical Imaging Department, University of Toronto, 555 University Avenue, Toronto, Ontario M5G 1X8, Canada;2. Division of Gastroenterology, Hepatology and Nutrition, The Hospital For Sick Children, University of Toronto, 555 University Avenue, Toronto, Ontario M5G 1X8, Canada;3. Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada |
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| Abstract: | PurposeTo investigate if intravoxel incoherent motion (IVIM) modeled diffusion-weighted imaging (DWI) can be linked to contrast-enhanced (CE-)MRI in liver parenchyma and liver lesions.MethodsTwenty-five patients underwent IVIM-DWI followed by multiphase CE-MRI using Gd-EOB-DTPA (n = 20) or Gd-DOTA (n = 5) concluded with IVIM-DWI. Diffusion (Dslow), microperfusion (Dfast), its fraction (ffast), wash-in-rate (Rearly) and late-enhancement-rate (Rlate) of Gd-EOB-DTPA were calculated voxel-wise for the liver. Parenchyma and lesions were segmented. Pre-contrast IVIM was compared 1) between low, medium and high Rearly for parenchyma 2) to post-contrast IVIM substantiated with simulations 3) between low and high Rlate per lesion type.ResultsDfast and ffast increased (P < 0.001) with 25.6% and 33.8% between low and high Rearly of Gd-EOB-DTPA. Dslow decreased (− 15.0%; P < 0.001) with increasing Rearly. Gd-DOTA demonstrated similar observations. ffast (+ 10%; P < 0.001) and Dfast (+ 6.6%; P < 0.001) increased after Gd-EOB-DTPA, while decreasing after Gd-DOTA (− 4.2% and − 5.7%, P < 0.001) and were confirmed by simulations. For focal nodular hyperplasia lesions (n = 5) Dfast and ffast increased (P < 0.001) with increasing Rlate, whereas for hepatocellular carcinoma (n = 4) and adenoma (n = 7) no differences were found.ConclusionMicroperfusion measured by IVIM reflects perfusion in a way resembling CE-MRI. Also IVIM separated intra- and extracellular MR contrast media. This underlines the potential of IVIM in quantitative liver imaging. |
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