Effects of arterial input function selection on kinetic parameters in brain dynamic contrast-enhanced MRI.

Autor: Keil VC; Department of Radiology, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53127 Bonn, Germany. Electronic address: vera.keil@ukbonn.de., Mädler B; Philips Healthcare, Röntgenstrasse 22, 22335 Hamburg, Germany. Electronic address: burkhard.maedler@philips.com., Gieseke J; Department of Radiology, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53127 Bonn, Germany; Philips Healthcare, Röntgenstrasse 22, 22335 Hamburg, Germany. Electronic address: juergen.gieseke@philips.com., Fimmers R; IMBIE (Statistics Department), University Hospital Bonn, Sigmund-Freud-Strasse 25, 53127 Bonn, Germany. Electronic address: rolf.fimmers@imbie.uni-bonn.de., Hattingen E; Department of Radiology, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53127 Bonn, Germany. Electronic address: elke.hattingen@ukbonn.de., Schild HH; Department of Radiology, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53127 Bonn, Germany. Electronic address: hans.schild@ukbonn.de., Hadizadeh DR; Department of Radiology, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53127 Bonn, Germany. Electronic address: dariusch.hadizadeh@ukbonn.de.
Jazyk: angličtina
Zdroj: Magnetic resonance imaging [Magn Reson Imaging] 2017 Jul; Vol. 40, pp. 83-90. Date of Electronic Publication: 2017 Apr 21.
DOI: 10.1016/j.mri.2017.04.006
Abstrakt: Purpose: Kinetic parameters derived from dynamic contrast-enhanced MRI (DCE-MRI) were suggested as a possible instrument for multi-parametric lesion characterization, but have not found their way into clinical practice yet due to inconsistent results. The quantification is heavily influenced by the definition of an appropriate arterial input functions (AIF). Regarding brain tumor DCE-MRI, there are currently several co-existing methods to determine the AIF frequently including different brain vessels as sources. This study quantitatively and qualitatively analyzes the impact of AIF source selection on kinetic parameters derived from commonly selected AIF source vessels compared to a population-based AIF model.
Material and Methods: 74 patients with brain lesions underwent 3D DCE-MRI. Kinetic parameters [transfer constants of contrast agent efflux and reflux K trans and k ep and, their ratio, v e, that is used to measure extravascular-extracellular volume fraction and plasma volume fraction v p ] were determined using extended Tofts model in 821 ROI from 4 AIF sources [the internal carotid artery (ICA), the closest artery to the lesion, the superior sagittal sinus (SSS), the population-based Parker model]. The effect of AIF source alteration on kinetic parameters was evaluated by tissue type selective intra-class correlation (ICC) and capacity to differentiate gliomas by WHO grade [area under the curve analysis (AUC)].
Results: Arterial AIF more often led to implausible v e >100% values (p<0.0001). AIF source alteration rendered different absolute kinetic parameters (p<0.0001), except for k ep . ICC between kinetic parameters of different AIF sources and tissues were variable (0.08-0.87) and only consistent >0.5 between arterial AIF derived kinetic parameters. Differentiation between WHO III and II glioma was exclusively possible with v p derived from an AIF in the SSS (p=0.03; AUC 0.74).
Conclusion: The AIF source has a significant impact on absolute kinetic parameters in DCE-MRI, which limits the comparability of kinetic parameters derived from different AIF sources. The effect is also tissue-dependent. The SSS appears to be the best choice for AIF source vessel selection in brain tumor DCE-MRI as it exclusively allowed for WHO grades II/III and III/IV glioma distinction (by v p ) and showed the least number of implausible v e values.
(Copyright © 2017 Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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