Limin Zhou1, Yiming Wang1, Marco Da Cunha Pinho1,2, Edward Pan3,4,5, Yin Xi1,6, Joseph A Maldjian1,2, and Ananth J Madhuranthakam1,2
1Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 2Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States, 3Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, DALLAS, TX, United States, 4Department of Neurological Surgery, University of Texas Southwestern Medical Center, DALLAS, TX, United States, 5Harold C. Simmons Cancer Center, University of Texas Southwestern Medical Center, DALLAS, TX, United States, 6Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
Synopsis
A 3D TSE using
Cartesian acquisition with spiral profile reordering (CASPR) in combination
with pseudo-continuous arterial spin labeling (pCASL) was developed to improve
the robustness of ASL measured perfusion to increased B0 inhomogeneities in GBM
patients. Previous results showed high intrasession reliability of this method
in GBM patients. In this study, we compared the 3D TSE-CASPR measured perfusion
with clinically available 3D GraSE at 3T. With 24 GBM imaging sessions, the
results showed that 3D pCASL with TSE-CASPR is more robust to B0
inhomogeneities and has higher intrasession reliability than the clinical
sequence, 3D pCASL with GraSE at 3T.
Introduction
Arterial spin labeled (ASL) MRI has
emerged as a promising method to measure non-contrast perfusion in the brain. However,
for application in glioblastoma (GBM) patients, who often have a craniotomy, almost
all readout acquisitions including EPI, GraSE or spiral based TSE acquisitions are
prone to suffer from B0 inhomogeneities. This influences both the accuracy of
ASL measured perfusion and co-registration to structural images. Recently, a 3D
TSE using Cartesian acquisition with spiral profile reordering (CASPR) in
combination with pseudo-continuous ASL (pCASL) was developed to improve the
robustness of ASL measured perfusion (1). Preliminary results showed that 3D
pCASL with TSE-CASPR can provide robust cerebral blood flow maps with high
intra-session reliability in GBM patients (2). In this study, we compared the intrasession
reliability of 3D pCASL with TSE-CASPR and the clinically available 3D pCASL
with GraSE measured brain perfusion in a larger cohort of GBM patients at 3T.Methods
Subjects: Under IRB approved protocols, 2 healthy volunteers and 9 newly diagnosed GBM patients with a
mean age of 55 ± 14 years were recruited and underwent 24 imaging sessions
on a 3T MRI scanner (Ingenia, Philips Healthcare).
Image Acquisition and Analysis:
MRI scans were
acquired with a 32-channel head coil. In each imaging session, routine clinical
imaging for GBM patients was performed along with two repetitions of 3D pCASL
with TSE-CASPR and 3 dynamics of 3D pCASL with GraSE for each subject. The
protocol began with 3D T1W MPRAGE, followed by the first
run of 3D TSE-CASPR pCASL, T2 FLAIR, SWI and then the
second run of 3D TSE-CASPR pCASL, followed by 3D pCASL with GraSE. ASL scans
were acquired in the axial plane with the following parameters (according to
the ASL consensus paper (3)): TR/TE = 6000/14 ms, FOV = 220x220x110 mm3,
matrix = 64x64 with 36 slices, acquired resolution = 3.5x3.5x6 mm3,
reconstructed resolution = 3x3x3 mm3, echo spacing = 2.8 ms, ETL =
80, label duration = 1.8 s, post-label delay = 1.8 s, 1 repetition, 4
background suppression pulses and acquisition time = 3:00 minutes. A M0
image was acquired using the same acquisition parameters in 1:30 minutes. For comparison,
ASL images were also acquired using the vendor supplied 3D GraSE acquisition in
all subjects matching the same acquisition parameters as the 3D TSE-CASPR
except for: TR/TE = 3900/14 ms, signal averages = 3, and total acquisition time
= 4:30 mins, including a M0 acquisition, matching the total
acquisition time of 3D TSE-CASPR.
Both 3D pCASL with TSE-CASPR and 3D pCASL with GraSE images were
reconstructed on the scanner including k-space filtering and complex k-space
subtraction (4).
Perfusion difference images were converted to NIfTI with MRIcron
software followed by brain extraction with FSL. The NIfTI images were processed
to quantify CBF maps in MATLAB based on the ASL consensus paper. CBF maps were
co-registered to the standard MNI space with FSL. Standard ROI templates were
used to extract perfusion values for normal appearing grey matter (NAGM), while
tumor ROIs were manually drawn on areas of hyperperfusion with further
confirmation on structural images.
Statistical Analysis: The
reliability between the two runs of 3D pCASL with TSE-CASPR or 3 dynamics of 3D
pCASL with GraSE measurements were measured using linear regression analysis, intraclass
correlation coefficient (ICC) and Bland-Altman plots. ICC estimates and their
95% confident intervals (CI) were calculated using SPSS statistical package
version 24.0 (SPSS Inc, Chicago, IL) based on a single-measurement,
absolute-agreement, 2-way mixed-effects model. Results
Both 3D pCASL with TSE-CASPR and
3D pCASL with GraSE provided robust CBF maps in all subjects with similar
values in healthy volunteers (Fig. 1a), and in GBM patients (Fig. 1b). Compared
to 3D GraSE, the CBF maps with 3D TSE-CASPR had less image distortion in GBM
patients (Fig. 1b). All measured perfusion for each non-tumor ROI were in the
normal range as shown in Fig. 2. The correlation plots (Fig. 3) and
Bland-Altman plots (Fig. 4) together with 95% CI of the CBF values for NAGM and
tumors showed better reliability of 3D TSE-CASPR than 3D GraSE. The ICC for both
NAGM and tumor was higher for 3D TSE-CASPR as shown in Table 1. Discussion and Conclusion
Both 3D pCASL with TSE-CASPR and 3D pCASL with GraSE provided
robust CBF maps in healthy volunteers and GBM patients. Both techniques showed
good intrasession reliability, although, 3D pCASL with TSE-CASPR was more
robust to B0 inhomogeneities and had higher intrasession repeatability than 3D
pCASL with GraSE at 3T, indicating it may be an better non-contrast
and non-invasive method for longitudinal GBM treatment response management. The multiple dynamics of 3D GraSE were
treated as independent acquisitions for this analysis, which contributed to
lower SNR, compared to two independent 3D TSE-CASPR acquisitions. Current studies
are planned to acquire two independent runs of 3D GraSE, each with 3 averages for
better evaluation.Acknowledgements
This work was supported by NIH/NCI
grant U01CA207091.References
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