Synopsis
Transverse MR spin relaxation rates, R2*, R2 and
R2’ have all been considered sensitive to brain tissue oxygenation. In this study, we focus on a cohort of
pre-operative Moyamoya disease patients and simultaneously map all three rates
in addition to cerebral blood flow, both before and after the injection of the
vasodilatory drug, acetazolamide. We
found our measurements to be consistent with physiology and previous studies,
and to support the use of R2’ for oxygenation mapping instead of R2* and R2.Purpose
Moyamoya disease is a progressive steno-occlusive
disease causing chronic under-perfusion of brain tissues
1. Transverse MR spin relaxation rates, R
2*
(=1/T2*), R
2 (=1/T2), and R
2’ (=R
2*-R
2), have been proposed for brain
oxygenation mapping
2.
In this study, we simultaneous mapped these rates and cerebral blood flow (CBF),
before and after the injection of acetazolamide (ACZ), to study each
parameter’s change and correlation with disease state.
Methods
25 pre-operative Moyamoya disease patients (ages 38±12 y,
20 F) were scanned with informed consent and IRB approval, at 3.0T (MR750W, GE
Healthcare) with ACZ challenge as part of a clinical diagnostic protocol. Relaxometry was performed using 2D
Gradient-Echo Sampling of Free Induction Decay and Echo (GESFIDE: TESE/TR
100/2000ms, 40 echoes, TE 5-130ms, resolution 1.9×1.9×1.5mm3 with
34mm-thick coverage)3. CBF was measured using whole-brain 3D
multi-delay pseudo-continuous ASL (TE/TR 25.1/6518ms, label time 2000ms, 5
equally spaced PLDs 700-3000ms, resolution 3.4×3.4×4mm3)4. Anatomical and angiographic information were
acquired with whole-brain T1-weighted 3D IR-FSPGR images and intracranial time
of flight (TOF) MRA.
GESFIDE images were analyzed in native space, and other
images were coregistered to them. R2*,
R2, and R2’ maps were calculated using mono-exponential fitting3. Tissue masks
were segmented from anatomical images. Each
dataset was analyzed in twelve 3cm annular, mixed-cortical ROIs approximating major
arterial territories, with 6 radial segments located at 2 levels (Fig. 1). Each ROI was defined as angiographically
“normal” and “abnormal” using blinded inspection of TOF MRA by an experienced
neuroradiologist. Statistical
significance of ACZ-induced changes and difference between groups was assessed
using the 2-tailed t-test and α=0.05.
Results
Results of group-level analysis are shown in Fig. 2-3. In abnormal
ROIs, post-ACZ CBF was significantly lower by 12±38%, while pre- and post-ACZ
R2’ were 13±32% and 14±33% higher, respectively. Pre- and post-ACZ R2 were 2.1±6.8% and 1.6±6.5%
lower in abnormal ROIs.
ACZ-induced vasodilation augments CBF, increases tissue oxygenation,
and reduces the amount of paramagnetic deoxyhemoglobin per voxel. Indeed, we observed that R2’, R2* and R2 all
decreased significantly in normal tissues post-ACZ, by 2.5±13.8%, 1.3±3.1% and 0.2±2.6% (all p<0.05),
respectively. However, Moyamoya
disease-affected regions experience either submaximal or paradoxical reduction
(“steal”) of CBF, which resulted in smaller ΔR2’, ΔR2* and ΔR2 reductions.
Finally, linear regression of each relaxation rate versus CBF (Fig. 4) found R2’ to be
significantly negatively correlated with CBF (R2=0.16, p<0.05). R2 was uncorrelated (R2<0.01,
p>0.05), while R2* showed very weak correlation (R2=0.05, p<0.05).
Discussion
We observed R2’ trends consistent with
physiology and a quantitative BOLD (qBOLD)
biophysical model5 of oxygenation, for both ACZ- and
disease-induced differences. qBOLD models tissue R2’ as proportional to the
product of deoxygenated blood volume (DBV) and (1-SO2), where SO2 is the tissue
oxygen saturation. ACZ-induced CBF
augmentation causes competing effects via the two terms, but our observed
increase in R2’ indicated that SO2 effect dominated, as reported by previous
studies6.
Higher pre-ACZ R2’ in abnormal ROIs may indicate higher DBV and/or lower
SO2. However, without measuring pre- and
post-ACZ blood volume in this cohort, these competing effects cannot be
uncoupled. However, our results show
that R2’ is sensitive to oxygenation changes, unlike R2*, which did not reflect
tissue status, consistent with a prior study 7.
Modeling R2 is more complicated. There are two sources of R2 change: blood
compartment and tissue. Like R2’, blood
R2 is also affected by competing effects of oxygenation8 and blood volume9. In addition, due to small blood volume in tissues,
even large blood R2 changes can be hard to measure with high SNR. Finally, tissue R2 can be changed by
pathology independently from perfusion and oxygenation changes, e.g. in
edema. Therefore, R2 is
suboptimal for measuring tissue oxygenation.
To untangle the competing factors influencing
R2’ and R2, accurate measurement of DBV is required before and after the ACZ
challenge, which is challenging as most methods measure total cerebral blood
volume and require contrast, which would not permit subsequent R2’
measurements.
Non-contrast methods such as Vascular-Space-Occupancy
(VASO)10
should be explored for this application.
Conclusion
In this study, we simultaneously characterized transverse
spin relaxation rates R
2*, R
2 and R
2’, with perfusion, in an ACZ challenge in
Moyamoya disease patients. We observed
consistent trends with what we expect from physiological models and prior studies, and
physiology. We conclude that R
2’ has the
most potential for imaging oxygenation changes in tissue, with superior
performance compared to R
2* and R
2.
Acknowledgements
NIH R01NS066506, R01NS047607, R21NS087491, NCRR 5P41RR09784. GE Healthcare.References
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