Dennis M. Hedderich1, Anne Kluge1, Thomas Pyka2, Claus Zimmer1, Jan S. Kirschke1, Benedikt Wiestler1, and Christine Preibisch1
1Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany, 2Department of Nuclear Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
Synopsis
Aim of this study was
to investigate the influence of leakage correction methods on dynamic
susceptibility contrast (DSC)-based measures of cerebral blood volume (CBV),
using patient data acquired with and without pre-bolus. Two post-processing techniques
were compared with respect to normalized CBV (nCBV) in contrast enhancing tumor
tissue. Generally, CBV increased or decreased after leakage correction for data
acquired without or with prebolus, respectively. The best agreement between
corrected nCBV values, obtained in the same patients without and with prebolus,
respectively, was obtained for a reference curve-based correction approach.
Introduction
Cerebral blood volume (CBV) based on dynamic susceptibility contrast
(DSC) MRI is increasingly used in diagnostic imaging for characterizing brain
tumors [1]. However, in regions with disrupted blood brain barrier, resulting CBV
values are severely confounded by contrast agent leakage into the extravascular
extracellular space (EES). A recent study demonstrated that three different
correction techniques yielded different CBV results, depending on whether T1- or
T2*-related relaxation effects dominated in the EES [2]. In order to further
elucidate underlying factors and identify a reliable technique, two approaches
based on the area under the relaxation curve (AUC) and singular value
decomposition (SVD) investigated by [2], were further modified and applied to
DSC data acquired during injection of two consecutive boli (prebolus, main
bolus) of contrast agent in patients with high grade glioma.Methods
12 patients
(58.2 ± 19.3 years, 7 male) with confirmed high-grade glioma (1 WHO
°III, 11 WHO °IV) were examined at 3T. In each patient, DSC-MRI data (GE EPI, TR=1500 ms,
TE=30 ms, α=90°, 80 dynamics, voxel size
1.8x1.8x4mm³, 20 slices) were acquired during injection of the prebolus (7.5
ml) and the mainbolus (15 ml) of Gd-DTPA (0.5mmol/ml). CBV evaluation was
implemented in Matlab (MathWorks) as described previously [2]. The AUC method
estimates leakage contributions from linear combinations of healthy tissue
reference curves [3]. Uncorrected and corrected CBV values were calculated by
integrating the uncorrected and corrected relaxation curve (AUC) over the first
pass (fp) or full range (full), respectively. The SVD approach estimates leakage
contributions from the residue function [4], which is obtained via singular
value decomposition (SVD) of tissue time curves and arterial input function
(AIF). To reduce noise sensitivity of the SVD algorithm, both standard
regularization (sSVD) with a global, SNR dependent cut-off value [5] and
Tikhonov regularization (TiSVD) [6] were used. Automatic AIF selection was
based on an SVD approach [7]. Corrected and uncorrected CBV were then
calculated according to the central volume principle. For comparability, all
CBV’s of one patient were normalized to the same healthy white matter region
assuming CBVWM=1.5 % {2]. For VOI evaluation,
contrast-enhancing tissue (CET) was segmented manually by thresholding
post-contrast T1w data.Results
From
the patient example in Figure 1 and the patient averaged values summarized in
Table 1, it is obvious that uncorrected nCBV values, derived from data acquired
during the prebolus, were generally rather low in contrast enhancing tumorous
tissue. Clearly higher values were obtained when uncorrected nCBV was derived
from data acquired during application of the main bolus, i.e. after previous
application of a prebolus. Compared to the respective uncorrected nCBVs, all
correction techniques effected an increase of nCBV values for data acquired
during the prebolus. For data acquired during the main bolus, the opposite
effect was observed for AUC, while the SVD method variants caused minor
inconsistent changes. For all investigated techniques, the differences between
nCBV values obtained during PB and MB were reduced after application of leakage
correction. While for SVD-based methods, the differences between PB and MB
derived nCBV values remained significant after correction, the corrected nCBV
values for AUC based calculations were indistinguishable in our sample of 12
patients with high grade glioma.Discussion
Our
results demonstrate a consistent up-correction of low uncorrected nCBV values,
derived from DSC data acquired from a single dose of contrast agent, i.e. without
or in this case during the prebolus. For the AUC method variants a
down-correction of high uncorrected nCBV values, derived from the main bolus of
contrast agent, i.e after a prebolus was observed. This confirms previous
findings of predominant T1-related and T2*-related leakage effects without and
with prebolus, respectively [23,4,8]. A closer look at the relative performance
of the two investigated methods and their variants reveals that the AUC
correction method, based on scaling of a reference curve [2,3], clearly
outperforms the SVD based methods [2,4], when consistency between corrected
nCBV values, obtained from PB and MB data, serves as a criterion. Using AUC-based
correction, best results are obtained when integrating the full relaxation time
curve. However, it is interesting to note that the uncorrected first pass
integration technique already yielded results quite close to the respective
corrected values. The SVD-based techniques on the other hand, at least reduce
the gap between PB and MB nCBV, but do
not really achieve a good match, most likely do to their higher noise
sensitivity [2].Acknowledgements
No acknowledgement found.References
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