Literature DB >> 22071409

An analysis of the pharmacokinetic parameter ratios in DCE-MRI using the reference region model.

Joonsang Lee1, Simon Platt, Marc Kent, Qun Zhao.   

Abstract

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is performed by obtaining sequential MRI images, before, during and after the injection of a contrast agent. It is usually used to observe the exchange of contrast agent between the vascular space and extravascular extracellular space (EES), and provide information about blood volume and microvascular permeability. To estimate the kinetic parameters derived from the pharmacokinetic model, accurate knowledge of the arterial input function (AIF) is very important. However, the AIF is usually unknown, and it remains very difficult to obtain such information noninvasively. In this article, without knowledge of the AIF, we applied a reference region (RR) model to analyze the kinetic parameters. The RR model usually depends on kinetic parameters found in previous studies of a reference region. However, both the assignment of reference region parameters (intersubject variation) and the selection of the reference region itself (intrasubject variation) may confound the results obtained by RR methods. Instead of using literature values for those pharmacokinetic parameters of the reference region, we proposed to use two pharmacokinetic parameter ratios between the tissue of interest (TOI) and the reference region. Specifically, one parameter K(R) is calculated as the ratio between the volume transfer constant K(trans) of the TOI and RR. Similarly, another parameter V(R) is calculated as the ratio between the extravascular extracellular volume fraction v(e) of the TOI and RR. To investigate the consistency of the two ratios, the K(trans) of the RR was varied ranging from 0.1 to 1.0 min(-1), covering the cited literature values. A simulated dataset with different levels of Gaussian noises and an in vivo dataset acquired from five canine brains with spontaneous occurring brain tumors were used to study the proposed ratios. It is shown from both datasets that these ratios are independent of K(trans) of the RR, implying that there is potentially no need to obtain information about literature values from the reference region for future pharmacokinetic modeling and analysis.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22071409     DOI: 10.1016/j.mri.2011.09.005

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  4 in total

1.  A linear algorithm of the reference region model for DCE-MRI is robust and relaxes requirements for temporal resolution.

Authors:  Julio Cárdenas-Rodríguez; Christine M Howison; Mark D Pagel
Journal:  Magn Reson Imaging       Date:  2012-12-08       Impact factor: 2.546

2.  Patient-specific pharmacokinetic parameter estimation on dynamic contrast-enhanced MRI of prostate: Preliminary evaluation of a novel AIF-free estimation method.

Authors:  Shoshana B Ginsburg; Pekka Taimen; Harri Merisaari; Paula Vainio; Peter J Boström; Hannu J Aronen; Ivan Jambor; Anant Madabhushi
Journal:  J Magn Reson Imaging       Date:  2016-06-10       Impact factor: 5.119

3.  Reproducibility of Dynamic Contrast-Enhanced MRI in Renal Cell Carcinoma: A Prospective Analysis on Intra- and Interobserver and Scan-Rescan Performance of Pharmacokinetic Parameters.

Authors:  Haiyi Wang; Zihua Su; Huiyi Ye; Xiao Xu; Zhipeng Sun; Lu Li; Feixue Duan; Yuanyuan Song; Tryphon Lambrou; Lin Ma
Journal:  Medicine (Baltimore)       Date:  2015-09       Impact factor: 1.817

4.  A liposomal Gd contrast agent does not cross the mouse placental barrier.

Authors:  Anil N Shetty; Robia Pautler; Ketan Ghaghada; David Rendon; Haijun Gao; Zbigniew Starosolski; Rohan Bhavane; Chandreshkumar Patel; Ananth Annapragada; Chandrasekhar Yallampalli; Wesley Lee
Journal:  Sci Rep       Date:  2016-06-14       Impact factor: 4.379

  4 in total

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