Literature DB >> 17874424

A physiologically based pharmacokinetic model of vascular-extravascular exchanges during liver carcinogenesis: application to MRI contrast agents.

Muriel Mescam1, Pierre-Antoine Eliat, Claire Fauvel, Jacques D de Certaines, Johanne Bézy-Wendling.   

Abstract

The extraction of physiological parameters by non-invasive imaging techniques such as dynamic magnetic resonance imaging (MRI) or positron emission tomography requires a knowledge of molecular distribution and exchange between microvascularization and extravascular tissues. These phenomena not only depend on the physicochemical characteristics of the injected molecules but also the pathophysiological state of the targeted organ. We developed a five-compartment physiologically based pharmacokinetic model focused on hepatic carcinogenesis and MRI contrast agents. This model includes physical characteristics of the contrast agent, dual specific liver supply, microvessel wall properties and transport parameters that are compatible with hepatocarcinoma development. The evolution of concentrations in the five compartments showed significant differences in the distribution of three molecules (differentiated by their diameters and diffusion coefficients ranging, respectively, from 0.9 to 62 nm and from 68.10(-9) to 47.10(-7) cm(2) s(-1)) in simulated regeneration nodules and dysplastic nodules, as well as in medium- and poorly differentiated hepatocarcinoma. These results are in agreement with known vascular modifications such as arterialization that occur during hepatocarcinogenesis. This model can be used to study the pharmacokinetics of contrast agents and consequently to extract parameters that are characteristic of the tumor development (like permeability), after fitting simulated to in vivo data. (c) 2007 John Wiley & Sons, Ltd.

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Year:  2007        PMID: 17874424     DOI: 10.1002/cmmi.147

Source DB:  PubMed          Journal:  Contrast Media Mol Imaging        ISSN: 1555-4309            Impact factor:   3.161


  5 in total

1.  BioDMET: a physiologically based pharmacokinetic simulation tool for assessing proposed solutions to complex biological problems.

Authors:  John F Graf; Bernhard J Scholz; Maria I Zavodszky
Journal:  J Pharmacokinet Pharmacodyn       Date:  2011-12-10       Impact factor: 2.745

2.  Towards a patient-specific hepatic arterial modeling for microspheres distribution optimization in SIRT protocol.

Authors:  Costanza Simoncini; Krzysztof Jurczuk; Daniel Reska; Simon Esneault; Jean-Claude Nunes; Jean-Jacques Bellanger; Hervé Saint-Jalmes; Yan Rolland; Pierre-Antoine Eliat; Johanne Bézy-Wendling; Marek Kretowski
Journal:  Med Biol Eng Comput       Date:  2017-08-21       Impact factor: 2.602

3.  Multiscale model of liver DCE-MRI towards a better understanding of tumor complexity.

Authors:  Muriel Mescam; Marek Kretowski; Johanne Bezy-Wendling
Journal:  IEEE Trans Med Imaging       Date:  2009-09-15       Impact factor: 10.048

4.  Localization of drug biodistribution in a 3D-bioengineered subcutaneous neovascularized microenvironment.

Authors:  Simone Capuani; Nathanael Hernandez; Jesus Paez-Mayorga; Prashant Dogra; Zhihui Wang; Vittorio Cristini; Corrine Ying Xuan Chua; Joan E Nichols; Alessandro Grattoni
Journal:  Mater Today Bio       Date:  2022-08-11

5.  A mathematical model to predict nanomedicine pharmacokinetics and tumor delivery.

Authors:  Prashant Dogra; Joseph D Butner; Javier Ruiz Ramírez; Yao-Li Chuang; Achraf Noureddine; C Jeffrey Brinker; Vittorio Cristini; Zhihui Wang
Journal:  Comput Struct Biotechnol J       Date:  2020-02-29       Impact factor: 7.271

  5 in total

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