Literature DB >> 28885746

Pseudo-extravasation rate constant of dynamic susceptibility contrast-MRI determined from pharmacokinetic first principles.

Xin Li1, Csanad G Varallyay2,3, Seymur Gahramanov4, Rongwei Fu5,6, William D Rooney1,2,7,8, Edward A Neuwelt2.   

Abstract

Dynamic susceptibility contrast-magnetic resonance imaging (DSC-MRI) is widely used to obtain informative perfusion imaging biomarkers, such as the relative cerebral blood volume (rCBV). The related post-processing software packages for DSC-MRI are available from major MRI instrument manufacturers and third-party vendors. One unique aspect of DSC-MRI with low-molecular-weight gadolinium (Gd)-based contrast reagent (CR) is that CR molecules leak into the interstitium space and therefore confound the DSC signal detected. Several approaches to correct this leakage effect have been proposed throughout the years. Amongst the most popular is the Boxerman-Schmainda-Weisskoff (BSW) K2 leakage correction approach, in which the K2 pseudo-first-order rate constant quantifies the leakage. In this work, we propose a new method for the BSW leakage correction approach. Based on the pharmacokinetic interpretation of the data, the commonly adopted R2 * expression accounting for contributions from both intravascular and extravasating CR components is transformed using a method mathematically similar to Gjedde-Patlak linearization. Then, the leakage rate constant (KL ) can be determined as the slope of the linear portion of a plot of the transformed data. Using the DSC data of high-molecular-weight (~750 kDa), iron-based, intravascular Ferumoxytol (FeO), the pharmacokinetic interpretation of the new paradigm is empirically validated. The primary objective of this work is to empirically demonstrate that a linear portion often exists in the graph of the transformed data. This linear portion provides a clear definition of the Gd CR pseudo-leakage rate constant, which equals the slope derived from the linear segment. A secondary objective is to demonstrate that transformed points from the initial transient period during the CR wash-in often deviate from the linear trend of the linearized graph. The inclusion of these points will have a negative impact on the accuracy of the leakage rate constant, and even make it time dependent.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Ferumoxytol; Gjedde-Patlak transformation; gadolinium; intravascular contrast reagent; leakage correction; relative cerebral blood volume

Mesh:

Substances:

Year:  2017        PMID: 28885746      PMCID: PMC5870763          DOI: 10.1002/nbm.3797

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  27 in total

1.  A fully automated method for quantitative cerebral hemodynamic analysis using DSC-MRI.

Authors:  Atle Bjørnerud; Kyrre E Emblem
Journal:  J Cereb Blood Flow Metab       Date:  2010-01-20       Impact factor: 6.200

Review 2.  Perfusion MRI using dynamic-susceptibility contrast MRI: quantification issues in patient studies.

Authors:  Fernando Calamante
Journal:  Top Magn Reson Imaging       Date:  2010-04

3.  Cerebral vascular mean transit time in healthy humans: a comparative study with PET and dynamic susceptibility contrast-enhanced MRI.

Authors:  Masanobu Ibaraki; Hiroshi Ito; Eku Shimosegawa; Hideto Toyoshima; Keiichi Ishigame; Kazuhiro Takahashi; Iwao Kanno; Shuichi Miura
Journal:  J Cereb Blood Flow Metab       Date:  2006-05-17       Impact factor: 6.200

4.  Diagnostic examination performance by using microvascular leakage, cerebral blood volume, and blood flow derived from 3-T dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging in the differentiation of glioblastoma multiforme and brain metastasis.

Authors:  Andrés Server; Tone E Døli Orheim; Bjørn A Graff; Roger Josefsen; Theresa Kumar; Per H Nakstad
Journal:  Neuroradiology       Date:  2010-07-13       Impact factor: 2.804

5.  Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. Generalizations.

Authors:  C S Patlak; R G Blasberg
Journal:  J Cereb Blood Flow Metab       Date:  1985-12       Impact factor: 6.200

6.  Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data.

Authors:  C S Patlak; R G Blasberg; J D Fenstermacher
Journal:  J Cereb Blood Flow Metab       Date:  1983-03       Impact factor: 6.200

Review 7.  Model selection in measures of vascular parameters using dynamic contrast-enhanced MRI: experimental and clinical applications.

Authors:  James R Ewing; Hassan Bagher-Ebadian
Journal:  NMR Biomed       Date:  2013-08       Impact factor: 4.044

8.  Pseudoprogression of glioblastoma after chemo- and radiation therapy: diagnosis by using dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging with ferumoxytol versus gadoteridol and correlation with survival.

Authors:  Seymur Gahramanov; Leslie L Muldoon; Csanad G Varallyay; Xin Li; Dale F Kraemer; Rongwei Fu; Bronwyn E Hamilton; William D Rooney; Edward A Neuwelt
Journal:  Radiology       Date:  2012-11-30       Impact factor: 11.105

9.  Analysis of three leakage-correction methods for DSC-based measurement of relative cerebral blood volume with respect to heterogeneity in human gliomas.

Authors:  Anne Kluge; Mathias Lukas; Vivien Toth; Thomas Pyka; Claus Zimmer; Christine Preibisch
Journal:  Magn Reson Imaging       Date:  2015-12-17       Impact factor: 2.546

10.  Repeatability of Cerebral Perfusion Using Dynamic Susceptibility Contrast MRI in Glioblastoma Patients.

Authors:  Kourosh Jafari-Khouzani; Kyrre E Emblem; Jayashree Kalpathy-Cramer; Atle Bjørnerud; Mark G Vangel; Elizabeth R Gerstner; Kathleen M Schmainda; Kamran Paynabar; Ona Wu; Patrick Y Wen; Tracy Batchelor; Bruce Rosen; Steven M Stufflebeam
Journal:  Transl Oncol       Date:  2015-06       Impact factor: 4.243

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