Lena Václavů1, Bart J Biemond2, John C Wood3, Henk Mutsaerts4, Charles BLM Majoie1, Ed van Bavel5, Aart J Nederveen1, and Pim van Ooij1
1Radiology, Academic Medical Center, Amsterdam, Netherlands, 2Internal Medicine, Academic Medical Center, Amsterdam, Netherlands, 3Cardiology, Children's Hospital Los Angeles, Los Angeles, CA, United States, 4Sunnybrook Research Institute, Toronto, ON, Canada, 5Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, Netherlands
Synopsis
We
employed 4D Flow MRI in patients with Sickle Cell Disease. 4D Flow MRI is a
non-invasive technique allowing blood flow velocity measurements and estimation
of WSS. We investigated dynamic changes in velocity, WSS and vessel diameter in
the anterior circulation of the Circle of Willis (CoW) in response to a
vasodilator (acetazolamide [ACZ]). We
found that velocity and WSS increased in
the CoW after administration of the vasodilator ACZ, as measured with 4D flow
MRI. The change in velocity after administration of ACZ was larger in controls
than in patients.Target Audience
Clinical and
biomedical researchers interested in cerebral hemodynamics and the application
of novel MRI techniques in the clinic.
Introduction
Sickle
Cell Disease (SCD) is caused by a mutation of the hemoglobin gene, the main
oxygen-carrying protein in the blood. At low oxygen tension, sickle hemoglobin
polymerizes resulting in vascular injury as a consequence of compromised flow
and altered arterial wall shear stress (WSS). 4D Flow MRI is a non-invasive
technique allowing blood flow velocity measurements and estimation of WSS. We
investigated dynamic changes in velocity, WSS and vessel diameter in the
anterior circulation of the Circle of Willis (CoW) in response to a vasodilator
(acetazolamide [ACZ]).
1 We hypothesized that velocity, WSS and vessel
diameter will increase in the CoW after administration of ACZ.
Materials & Methods
15
SCD patients (age=34±12 years) with HbSS or HbSß
0-thalassaemia
genotypes, and 4 age- and ethnicity-matched healthy controls (aged=34±16 years)
were scanned with retrospectively gated 4D Flow MRI before and after an intravenous
administration of 16mg/kg ACZ on a 3.0 Tesla system (Ingenia, Philips
Healthcare, Best, the Netherlands). Scan parameters: spatial resolution: 0.5x0.5x0.5
mm
3; TR/TE/FA=8.6/4.1/20°; VENC=100cm/s in all directions. To keep
acquisition time short (7 minutes), the temporal resolution was kept low (4
heart phases). Magnitude images with the highest signal intensity were used for
segmentation of the full CoW and the left and right internal carotid arteries, middle
cerebral arteries and anterior cerebral arteries (L/RICA, L/RMCA and L/RACA) in
commercial software (Mimics, Materialise, Leuven). The segmentation process was
repeated for 18 scans (randomized for pre and post ACZ administration and
controls and patients) by two observers. Venous blood was obtained prior to MRI
for hematocrit values to estimate viscosity2. WSS was subsequently
calculated in the entire CoW with subject-specific viscosity using an algorithm
as previously described
3. The vessel diameters in the CoW were
calculated by tracking the inward normal on the points where WSS was calculated
upon exiting the opposite side of the vessel. The ICA, MCA and ACA masks were
used to measure locally averaged velocity, WSS and diameter values. Wilcoxon
rank-sum tests were performed to compare time-averaged velocity, WSS and diameter
in the MCA, ACA and ICA segments between controls and patients, and before and
after ACZ. P<0.05 was considered significant. Inter-observer variability was
expressed as the intra-class correlation coefficients (ICC) and coefficient of
variation (CV) for velocity, WSS and diameters in the ICA, MCA and ACA.
Results
Hematocrit
values were 27±3% in patients and 44±1% in controls. Figure 1 shows a
representative example of 3D velocity, WSS and diameter maps before and after
administration of ACZ. It can be seen that velocity increased in the vessels of
interest, that WSS increased in the left
ACA and that the diameter increased in the right ACA. In table 1, the values
for velocity, WSS and diameter are given for the MCAs, ICAs and ACAs for
controls and patients. Except for the left ACA, velocity increased
significantly in controls in all vessel segments after ACZ. In patients, velocity
increased significantly in all vessel segments. WSS increased significantly in
the right MCA and both ICAs in controls, whereas for the patients, WSS
increased significantly in all vessels except for the left ACA. The vessel
diameter did not change after administration of ACZ. Velocity was significantly
higher in patients compared to controls in the left MCA and right ICA. WSS was
significantly lower for the patients compared to the controls in the ICA after
ACZ. In table 2, the results of the inter-observer analysis is given for
velocity, WSS and diameter. Excellent agreement was found for the velocity and
WSS values but was poor for the ACAs.
Discussion
As
hypothesized, both the control and patient cohort responded to ACZ administration with a significant increase in velocity and
WSS values in most vessel segments. At the same time, vessel diameters did not
increase. Thus, ACZ may dilate the microvasculature rather than the larger
vessels of the CoW. Interestingly, the change in velocity after administration
of ACZ was larger in controls than in patients, who had a higher baseline
velocity. This could indicate that cerebral blood flow (CBF) is elevated in
patients compared to controls. The finding that vessel diameters did not
increase may not hold for the ACAs, where a low inter-observer ICC was found.
More advanced segmentation methods are needed to accurately delineate smaller
CoW vessels.
Conclusion
In
conclusion, we found that velocity and WSS increased in the CoW after administration of
the vasodilator ACZ, as measured with 4D flow MRI,. This indicates that
cerebral blood flow increases in controls and patients with sickle cell disease
after ACZ.
Acknowledgements
This
work was funded by the Dutch foundation “FondsNutsOhra” 1303-055.References
1Vorstrup et al. J Clin Invest 1984(74)1634-1639.
2Detterich et al. Transfusion 2013(53)297-305.
3Potters et al. JMRI 2015(2)505-16.