Lennart Geurts1, Alex Bhogal1, Jeroen C.W. Siero1, Peter R. Luijten1, and Jaco J.M. Zwanenburg1
1Radiology, UMCU, Utrecht, Netherlands
Synopsis
An
increased blood flow pulsatility index in large cerebral arteries is a
prognostic factor in stroke and has been linked to small vessel disease. Along
with increased pulsatility, these patients show decreased hypercapnia induced cerebrovascular
reactivity. We hypothesize that dilated vessels lose their ability to stretch
and passively dampen the pulse pressure wave. The aim of this study was to shed
light on how autoregulation influences the damping of the pulse pressure wave in
small vessels. Our approach was to measure blood flow velocity and pulsatility
changes in the perforating arteries of the white matter, during a hypercapnic
breathing challenge.Introduction
An
increased blood flow pulsatility index (PI) in large cerebral arteries is a
prognostic factor in stroke and has been linked to small vessel disease (SVD) [1].
Along with increased PI, these patients show decreased hypercapnia induced cerebrovascular
reactivity (CVR) [2,3]. CVR is an autoregulatory mechanism responding at a
timescale of seconds to minutes, while PI reflects hemodynamic processes which
manifest over the course of a single cardiac cycle. Both CVR and PI provide
information on a vascular reserve capacity. CVR reflects the ability to maintain
constant blood flow under changes in perfusion pressure. PI reflects the
ability of the vessels to dampen the pulse pressure wave.
Decreased vascular reserve is associated with
dilation of the cerebral vasculature. We hypothesize that dilated vessels lose
their ability to stretch and passively dampen the pulse pressure wave. While
most PI studies are performed in large vessels, it is possible to measure PI in
cerebral perforating arteries using 7T phase contrast (PC) MRI [4]. Measuring
PI changes in the perforators during a vascular challenge could shed light on how
autoregulation influences the damping of the pulse pressure wave in small
vessels. The aim of this ongoing study was to determine whether the blood flow velocity
and pulsatility change during a hypercapnic breathing challenge.
Methods
Four healthy volunteers were scanned on a 7T
MRI system (Philips Healthcare) with 32 channel receive head coil (Nova
Medical) while manipulating partial pressure of end-tidal carbon dioxide (PetCO2)
using a RespirAct™ device (Thornhill Research Inc.). The scan protocol
consisted of two cardiac gated single slice PC-MRI acquisitions, alternated
with T1-weighted (T1w) 3D TFE acquisitions for segmentation of white matter
(WM) (see Table 1 for scan parameters). The PC acquisition was planned in the
semi oval center (CSO) in order to measure flow velocities in WM perforators
(Figure 1). The first PC image was acquired at baseline gas PetCO2. The second
PC image was acquired while targeting PetCO2 at 10 mmHg above baseline (Figure
2).
Perforator identification and PI calculation was
performed as previously published [4]. Because the signal to noise ratio (SNR)
of the velocity measurement in the PC images was higher than the contrast to
noise ratio in the modulus images, identification was only based on velocity
and not on modulus contrast. Change in average velocity (Vmean) and PI between
baseline and hypercapnia was tested using a paired two-sample t-tests, all
parameters were averaged per subject before testing, so individual vessels were
not regarded as independent measurements. The same tests were performed after
limiting the set of arteries to those that were identified in both
acquisitions. Matching of the arteries between the two acquisitions was
automatically performed, by taking the closest vessel within a radius of 2 mm
(to account for possible subject motion). All analyses were performed using
in-house developed software in Matlab (The Mathworks Inc.).
Results
Average
baseline of PetCO2 was 35 mmHg, with an average increase of 9 mmHg during
the challenges. Significantly more arteries were identified in the CSO during
hypercapnia compared to baseline (40 versus 31 arteries, p = 0.024, Table 2). Although not significant,
Vmean increased by 8.6% during the hypercapnia, when looking at matched vessels
only.
Discussion
Hypercapnia
caused a significant increase in the amount of detectable perforators, but no
significant change in Vmean or PI. If
all other factors remain constant, distal vasodilation reduces the resistance, causing
blood flow velocity to increase. Cerebral blood flow and blood flow velocity of
large supplying arteries of the brain can be expected to increase roughly 9%
per mmHg increase PaCO2 from baseline
[5]. This inherently increases the SNR of
the velocity measurements and increases the SNR of the magnitude through the T1
inflow effect and, thus, the detectability of the vessels. Local vasodilation of
the perforator itself on the other hand could also increase the SNR of blood, caused
by decreasing partial volume effect with surrounding tissue, which has a lower
velocity and a lower signal intensity than blood. These effects would both reduce
the underestimation of velocity, which increases with partial voluming
[4].
Conclusion
Significantly
more vessels were found during hypercapnia, but no change in pulsatility was
observed in this small group. To what extent PI is truly independent of
vasodilation may depend on the condition of the vessels, and needs further
research in both healthy subjects and patients with impaired vasoreactivity
and/or increased vessel stiffness.
Acknowledgements
This
work was supported by the European Research Council, ERC grant agreement
n°337333.References
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