Literature DB >> 29440620

Quantification of hepatic perfusion and hepatocyte function with dynamic gadoxetic acid-enhanced MRI in patients with chronic liver disease.

Benjamin Leporq1,2, Jean-Luc Daire3,4, Catherine M Pastor3,5, Pierre Deltenre6, Christine Sempoux7, Sabine Schmidt8, Bernard E Van Beers3,4.   

Abstract

The purpose of the present study was to develop and perform initial validation of dynamic MRI enhanced with gadoxetic acid as hepatobiliary contrast agent to quantify hepatic perfusion and hepatocyte function in patients with chronic liver disease. Free-breathing, dynamic gadoxetic acid-enhanced MRI was performed at 3.0 T using a 3D time-resolved angiography sequence with stochastic trajectories during 38 min. A dual-input three-compartment model was developed to derive hepatic perfusion and hepatocyte function parameters. Method feasibility was assessed in 23 patients with biopsy-proven chronic liver disease. Parameter analysis could be performed in 21 patients (91%). The hepatocyte function parameters were more discriminant than the perfusion parameters to differentiate between patients with minimal fibrosis (METAVIR F0-F1), intermediate fibrosis (F2-F3) and cirrhosis (F4). The areas under the receiver operating characteristic curves (ROCs) to diagnose significant fibrosis (METAVIR F ≥ 2) were: 0.95 (95% CI: 0.87-1; P<0.001) for biliary efflux, 0.88 (95% CI: 0.73-1; P<0.01) for sinusoidal backflux, 0.81 (95% CI: 0.61-1; P<0.05) for hepatocyte uptake fraction and 0.75 (95% CI: 0.54-1; P<0.05) for hepatic perfusion index (HPI), respectively. These initial results in patients with chronic liver diseases show that simultaneous quantification of hepatic perfusion and hepatocyte function is feasible with free breathing dynamic gadoxetic acid-enhanced MRI. Hepatocyte function parameters may be relevant to assess liver fibrosis severity.
© 2018 The Author(s). Published by Portland Press Limited on behalf of the Biochemical Society.

Entities:  

Keywords:  Gadoxetic acid; Hepatic function; Hepatic perfusion; Liver fibrosis; MRI

Mesh:

Substances:

Year:  2018        PMID: 29440620     DOI: 10.1042/CS20171131

Source DB:  PubMed          Journal:  Clin Sci (Lond)        ISSN: 0143-5221            Impact factor:   6.124


  4 in total

1.  GAN and dual-input two-compartment model-based training of a neural network for robust quantification of contrast uptake rate in gadoxetic acid-enhanced MRI.

Authors:  Josiah Simeth; Yue Cao
Journal:  Med Phys       Date:  2020-02-19       Impact factor: 4.071

2.  Isolated Perfused Rat Livers to Quantify the Pharmacokinetics and Concentrations of Gd-BOPTA.

Authors:  Catherine M Pastor
Journal:  Contrast Media Mol Imaging       Date:  2018-07-11       Impact factor: 3.161

3.  Model-inferred mechanisms of liver function from magnetic resonance imaging data: Validation and variation across a clinically relevant cohort.

Authors:  Mikael F Forsgren; Markus Karlsson; Olof Dahlqvist Leinhard; Nils Dahlström; Bengt Norén; Thobias Romu; Simone Ignatova; Mattias Ekstedt; Stergios Kechagias; Peter Lundberg; Gunnar Cedersund
Journal:  PLoS Comput Biol       Date:  2019-06-25       Impact factor: 4.475

4.  Application Value of Magnetic Resonance Perfusion Imaging in the Early Diagnosis of Rat Hepatic Fibrosis.

Authors:  Guohua Fan; Yang Ya; Xiaoqiong Ni; Jinpeng Hou; Rui Yu
Journal:  Biomed Res Int       Date:  2019-12-28       Impact factor: 3.411

  4 in total

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