Literature DB >> 12652540

Capillarization of the sinusoids in liver fibrosis: noninvasive assessment with contrast-enhanced MRI in the rabbit.

Bernard E Van Beers1, Roland Materne, Laurence Annet, Laurent Hermoye, Christine Sempoux, Frank Peeters, Anne M Smith, Jacques Jamart, Yves Horsmans.   

Abstract

Sinusoidal capillarization induces microcirculatory changes in liver cirrhosis and fibrosis. The purpose of this study was to assess whether contrast-enhanced MRI can be used to demonstrate the effects of sinusoidal capillarization in liver fibrosis. Dynamic MRI after injection of a low-molecular-weight contrast agent of 0.56 kDa (Gd-DOTA), and two high-molecular-weight contrast agents of 6.47 kDa and 52 kDa (P792 and P717) was performed in rabbits with liver fibrosis induced by cholesterol and diethylstilbestrol. The hepatic distribution volume accessible to the high-molecular-weight agents decreased in the rabbits with liver fibrosis (P792: 7.8% +/- 1.7% vs. 10.1% +/- 1.8% in normal rabbits, P =.038; P717: 6.2% +/- 2.1% vs. 9.7% +/- 1.6% in normal rabbits, P =.007), whereas the hepatic mean transit time (MTT) of the low-molecular-weight agent was increased (15.9 +/- 8.0 s vs. 8.8 +/- 2.6 s in normal rabbits, P =.015). In rabbits with liver fibrosis, the clearance of indocyanine green (ICG) was correlated with the volume accessible to the high-molecular-weight agents (P792: r = 0.810, P =.015; P717: r = 0.857, P =.007). The collagen content of the liver was inversely correlated with the distribution volume of P717 (r = -.833, P =.010) and with the ICG clearance (r = -.810, P =.015). It was concluded that the microcirculatory changes induced by sinusoidal capillarization in liver fibrosis can be demonstrated noninvasively with MRI. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12652540     DOI: 10.1002/mrm.10420

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  22 in total

Review 1.  Assessment of Hepatic Impairment and Implications for Pharmacokinetics of Substance Use Treatment.

Authors:  Andrew H Talal; Charles S Venuto; Islam Younis
Journal:  Clin Pharmacol Drug Dev       Date:  2017-03

2.  Hepatocellular carcinoma: perfusion quantification with dynamic contrast-enhanced MRI.

Authors:  Bachir Taouli; R Scott Johnson; Cristina H Hajdu; Marcel T H Oei; Miriam Merad; Herman Yee; Henry Rusinek
Journal:  AJR Am J Roentgenol       Date:  2013-10       Impact factor: 3.959

Review 3.  CT and MR perfusion techniques to assess diffuse liver disease.

Authors:  Maxime Ronot; Benjamin Leporq; Bernard E Van Beers; Valérie Vilgrain
Journal:  Abdom Radiol (NY)       Date:  2020-11

4.  DCE-MRI of the liver: effect of linear and nonlinear conversions on hepatic perfusion quantification and reproducibility.

Authors:  Shimon Aronhime; Claudia Calcagno; Guido H Jajamovich; Hadrien Arezki Dyvorne; Philip Robson; Douglas Dieterich; M Isabel Fiel; Valérie Martel-Laferriere; Manjil Chatterji; Henry Rusinek; Bachir Taouli
Journal:  J Magn Reson Imaging       Date:  2013-11-04       Impact factor: 4.813

5.  Hepatic fibrosis: evaluation with semiquantitative contrast-enhanced CT.

Authors:  Vanja Varenika; Yanjun Fu; Jacquelyn J Maher; Dongwei Gao; Sanjay Kakar; Miguel C Cabarrus; Benjamin M Yeh
Journal:  Radiology       Date:  2012-11-20       Impact factor: 11.105

6.  Gadoxetate-enhanced MR imaging and compartmental modelling to assess hepatocyte bidirectional transport function in rats with advanced liver fibrosis.

Authors:  Céline Giraudeau; Benjamin Leporq; Sabrina Doblas; Matthieu Lagadec; Catherine M Pastor; Jean-Luc Daire; Bernard E Van Beers
Journal:  Eur Radiol       Date:  2016-08-23       Impact factor: 5.315

7.  Prospective comparison of magnetic resonance imaging to transient elastography and serum markers for liver fibrosis detection.

Authors:  Hadrien A Dyvorne; Guido H Jajamovich; Octavia Bane; M Isabel Fiel; Hsin Chou; Thomas D Schiano; Douglas Dieterich; James S Babb; Scott L Friedman; Bachir Taouli
Journal:  Liver Int       Date:  2016-02-07       Impact factor: 5.828

8.  DCE-MRI of hepatocellular carcinoma: perfusion quantification with Tofts model versus shutter-speed model--initial experience.

Authors:  Guido H Jajamovich; Wei Huang; Cecilia Besa; Xin Li; Aneela Afzal; Hadrien A Dyvorne; Bachir Taouli
Journal:  MAGMA       Date:  2015-12-08       Impact factor: 2.310

9.  Accuracy and precision of quantitative DCE-MRI parameters: How should one estimate contrast concentration?

Authors:  Nicole Wake; Hersh Chandarana; Henry Rusinek; Koji Fujimoto; Linda Moy; Daniel K Sodickson; Sungheon Gene Kim
Journal:  Magn Reson Imaging       Date:  2018-05-16       Impact factor: 2.546

10.  [Value of magnetic resonance imaging in diffuse liver diseases].

Authors:  N Schramm; M D'Anastasi; M F Reiser; C J Zech
Journal:  Radiologe       Date:  2012-08       Impact factor: 0.635

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