Moran Artzi1, Gilad Liberman2,3, Deborah Blumenthal4, Orna Aizenstein1, and Dafna Ben Bashat1,5
1Functional Brain Center, Tel Aviv Sourasky Medical Center, Tel-Aviv, Israel, 2Functional Brain Centerasky Medical Cente, Tel Aviv Sourasky Medical Center, Tel-Aviv, Israel, 3Department of Chemical Physics, Weizmann Institute, Rehovot, Israel, 4Neuro-Oncology Service, Tel Aviv Sourasky Medical Center, Tel-Aviv, Israel, 5Sackler Faculty of Medicine and Sagol School of Neuroscience, Tel Aviv University, Tel-Aviv, Israel
Synopsis
DCE-MRI parameters have been shown to be useful for therapy response
assessment in patient with glioblastoma, yet the estimated parameters may show high
variation in their values. This study investigated the reliability of
DCE parameters for quantitative longitudinal
assessment of brain tumors. 14% standard-deviation in the WM and 12% in the GM, were detected for vp in healthy subjects(n=27).
Results from six patients showed mean differences of
3.2%/9.7% in vp for WM/GM in
the hemisphere contralateral to the lesion, comparing two longitudinal scans. Parametric-response-maps
calculated within lesion areas based on the threshold values
from the healthy controls supported radiological assessment.PURPOSE
Quantitative
measurement of brain tumors using dynamic-contrast-enhancement (DCE-MRI) has been shown to be useful for assessment of therapy response in patients with high grade tumors
[1, 2]. However the estimated parameters may show high
variation in their values due to biological differences, protocol parameters and analysis procedure. The
aim of this study was to investigate the reliability of DCE pharmacokinetic
(PK) values for quantitative longitudinal assessment of brain tumors.
METHODS
Subjects
and MRI Protocol: 27 healthy controls (age 38±13 y) and six
patients with biopsy-proven glioblastoma (GB) (age 49±19 y) were included in
this study. Scans were performed on a 3.0T GE system and included T1
weighted imaging (T1WI) performed before and after contrast agent
(Gd), FLAIR images and DCE acquired using multi-phase 3D SPGR with the variable
flip angle method used for T1 maps calculation. Each patient was
scanned twice.
Preprocessing: included skull stripping, inhomogeneity correction, T1
mapping, motion correction and coregistration to DCE space. Plasma
volume(vp) and the volume transfer constant (ktrans)
parameters were calculated from the DCE data using DUSTER
(DCE-Up-Sampled-TEmporal Resolution), an in-house tool for DCE analysis, based
on the Extended-Tofts-Model [3] with
T1 maps calculated with correction of inaccuracy in the flip angles and
accounting for differences in the bolus arrival time [4, 5]. The
gray matter (GM) and white matter (WM) volumes of interest (VOIs) were
extracted for each subject from pre-contrast T1WI; for the right and
the left hemisphere for the healthy controls; and for the contra-lesional
hemisphere only, for patients with GB. In patients, the lesion area was extracted at each
time point from the T1WI+Gd images using threshold-based
segmentation [6]. Lesion
VOI was defined as the overlap lesion area between the two time points. Mean and standard deviation (SD) values and histograms of vp
and ktrans in each VOI, were calculated.
Parametric response maps: were calculated separately for the vp
and ktrans parameters. The SD values obtained in the control
group from the WM area were used as threshold values for determining voxel-by-voxel
differences between scans in patients, where Δ<-2SD=reduction; -2SD<Δ<+2SD=no change; Δ>+2SD=increase.
RESULTS & DISCUSSION
Healthy
controls: Mean and SD values, of vp and
ktrans in the WM and GM of healthy subjects (n=27), are shown in Table 1. Figure 1 shows the mean histograms of (a) vp and (b)
ktrans obtained for the WM (red) and GM (blue) of healthy
controls. vp and ktrans values were significantly
(p<0.05) higher in the GM compared with the WM. No age, gender or
hemispherical differences were detected for either parameter. The SD values of
this group showed the reliability of the values of DCE parameters in the healthy
population, and were set as threshold values for patients' assessment.
Patients:
The mean
values in the contra-lesional hemisphere were similar between the two time
points in each patient, with mean differences of vp: GM=10%, WM=6%; ktrans:
GM= 17%, WM=17% across time. Histograms of ktrans
and vp in
the WM (red), GM (blues) and lesion (black) areas at time point 1 (solid line)
and time point 2 (dashed line), of three patients, are shown in Figure 2,
demonstrating the high reproducibility of those parameters between the two time
points. Parametric response maps within lesion area obtained for each patient (Fig.1;
insets b-c). Patients #1 and #2 (two upper rows) were
scanned before and two weeks following bevacizumab therapy, and revealed a substantial
reduction in their mean values of: 30% and 81% for the vp and
ktrans, respectively. The radiological assessment of these
patients indicated improvement according to RANO criteria. Patient #3 was treated with VBL and bevacizumab therapies and was scanned at two month intervals. This
patient demonstrated substantial increase of 52% and 128% for the vp
and ktrans values, supporting the diagnosis of
progression.
CONCLUSION
The means and SD values obtained from healthy subjects
enable definition of threshold values for reliable quantitative assessment of
changes of DCE PK parameters across longitudinal scans. Parametric response
maps, based on these values, are suggested to be used for longitudinal
assessment of patients with brain tumors, in order to improve patients' diagnosis and therapy response assessment.
Acknowledgements
To Faina Vitinshtein and Tuvia Genot for
assistance in patient recruitment and MRI scansReferences
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