Literature DB >> 18821616

Transvascular and interstitial transport in rat hepatocellular carcinomas: dynamic contrast-enhanced MRI assessment with low- and high-molecular weight agents.

Nicolas Michoux1, Laurent Huwart, Jorge Abarca-Quinones, Mylène Dorvillius, Laurence Annet, Frank Peeters, Bernard E Van Beers.   

Abstract

PURPOSE: To assess which MRI-derived kinetic parameters reflect decreased transvascular and interstitial transport when low- and high-molecular-weight agents are used in rat hepatocellular carcinomas.
MATERIALS AND METHODS: Dynamic MRI after injection of a low-molecular-weight contrast agent of 0.56 kDa (Gd-DOTA, gadoterate) and two high-molecular-weight contrast agents of 6.47 kDa (P792, gadomelitol) and 52 kDa (P717, carboxymethyldextran Gd-DOTA) was performed in rats with chemically induced hepatocellular carcinomas. The data were analyzed with the Kety compartmental model, the extended Kety compartmental model in which it is assumed that the tissue voxels contain a vascular component, and the St Lawrence and Lee distributed-parameter model.
RESULTS: The extravascular extracellular space accessible to the contrast agent v(e) and the extraction fraction E decreased with increasing molecular weight of the contrast agent. In contrast, the volume transfer constant Ktrans did not differ significantly when low- or high-molecular-weight agents were used.
CONCLUSION: In this animal model the results suggest that the accessible extravascular extracellular space and the extraction fraction are more sensitive indicators of decreased transvascular and interstitial transport with high-molecular-weight agents than the volume transfer constant, which is a lumped representation of blood flow and permeability. (c) 2008 Wiley-Liss, Inc.

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Year:  2008        PMID: 18821616     DOI: 10.1002/jmri.21524

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  7 in total

1.  Dual-input two-compartment pharmacokinetic model of dynamic contrast-enhanced magnetic resonance imaging in hepatocellular carcinoma.

Authors:  Jian-Feng Yang; Zhen-Hua Zhao; Yu Zhang; Li Zhao; Li-Ming Yang; Min-Ming Zhang; Bo-Yin Wang; Ting Wang; Bao-Chun Lu
Journal:  World J Gastroenterol       Date:  2016-04-07       Impact factor: 5.742

2.  Quantitative 4D transcatheter intraarterial perfusion MRI for monitoring chemoembolization of hepatocellular carcinoma.

Authors:  Dingxin Wang; Brian Jin; Robert J Lewandowski; Robert K Ryu; Kent T Sato; Mary F Mulcahy; Laura M Kulik; Frank H Miller; Riad Salem; Debiao Li; Reed A Omary; Andrew C Larson
Journal:  J Magn Reson Imaging       Date:  2010-05       Impact factor: 4.813

3.  Development of a High-Throughput Molecular Imaging-Based Orthotopic Hepatocellular Carcinoma Model.

Authors:  Gloria L Hwang; Maurice A van den Bosch; Young I Kim; Regina Katzenberg; Juergen K Willmann; Ramasamy Paulmurugan; Sanjiv S Gambhir; Lawrence Hofmann
Journal:  Cureus       Date:  2015-06-27

4.  Intravoxel Incoherent Motion Diffusion-Weighted Imaging for Evaluation of the Cell Density and Angiogenesis of Cirrhosis-Related Nodules in an Experimental Rat Model: Comparison and Correlation With Dynamic Contrast-Enhanced MRI.

Authors:  Jiawen Luo; Kunpeng Zhou; Bin Zhang; Ning Luo; Jie Bian
Journal:  J Magn Reson Imaging       Date:  2019-06-27       Impact factor: 4.813

5.  ESR statement on the stepwise development of imaging biomarkers.

Authors: 
Journal:  Insights Imaging       Date:  2013-02-09

6.  Spatio-temporal simulation of first pass drug perfusion in the liver.

Authors:  Lars Ole Schwen; Markus Krauss; Christoph Niederalt; Felix Gremse; Fabian Kiessling; Andrea Schenk; Tobias Preusser; Lars Kuepfer
Journal:  PLoS Comput Biol       Date:  2014-03-13       Impact factor: 4.475

7.  Longitudinal metabolic imaging of hepatocellular carcinoma in transgenic mouse models identifies acylcarnitine as a potential biomarker for early detection.

Authors:  Jadegoud Yaligar; Wei Wei Teoh; Rashidah Othman; Sanjay Kumar Verma; Beng Hooi Phang; Swee Shean Lee; Who Whong Wang; Han Chong Toh; Venkatesh Gopalan; Kanaga Sabapathy; S Sendhil Velan
Journal:  Sci Rep       Date:  2016-02-02       Impact factor: 4.379

  7 in total

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