Leonardo A Rivera-Rivera1, Tilman Schubert2, Kevin M Johnson1, Sterling C Johnson3, Oliver Wieben1,2, and Patrick Turski2
1Medical Physics, University of Wisconsin Madison, Madison, WI, United States, 2Radiology, University of Wisconsin Madison, Madison, WI, United States, 3Medicine, University of Wisconsin Madison, Madison, WI, United States
Synopsis
Cerebral arteries are often morphologically altered and
dysfunctional in Alzheimer’s disease (AD). In this study, 4D flow MRI was used
to assess flow pulsatility along the carotid siphon in patients with AD, mild cognitive
impairment (MCI) and in healthy age matched controls. We found the physiologic dampening of pulsatility along
the distal ICA is significantly diminished in patients with AD. With the
large volume coverage and high temporal and spatial resolution, 4D flow MRI can
provide additional biomarkers of vascular health that can contribute to the
identifying patients who could benefit from interventions to improve
circulatory system functions.Purpose
There is recent evidence that suggests the tortuous cavernous
segment of the internal carotid artery (ICA) may have attenuating effects on
the pulsatile arterial flow on healthy young individuals [1]. In contrast, cerebral arteries are
often morphologically altered and dysfunctional in Alzheimer’s disease (AD) [2].
Therefore,
there is growing interest in the non-invasive assessment of cranial
hemodynamics as potential systemic indicators of AD [3]. Recent advances in MR
hardware, data acquisition, and reconstruction have facilitated 4D flow MRI in clinically
feasible scan times, thereby providing dynamic velocity vector maps with
volumetric coverage. With adequate spatial and temporal resolution, such 4D
flow MRI approaches are well suited for comprehensive hemodynamic assessment of
the larger vessels. Here we test the hypothesis that the physiologic dampening
of pulsatility along the distal ICA is significantly diminished in patients
with AD. We investigate local arterial blood flow patterns in the proximal
middle cerebral artery (MCA) and ICA proximal to the carotid siphon in three age-matched
groups: (1) patients with AD, (2) mild cognitive impairment (MCI) and in (3) older
healthy controls with gated 4D flow MRI.
Methods
Subjects: The study population
consisted of 20 AD patients (age range 61-89y, mean=73y, 6 F), 26 MCI patients
(age range 52-87y, mean= 73y, 12 F) and 30 older control adults (age range
66-89y, mean= 74y, 17 F). MRI: Volumetric, time-resolved phase contrast (PC) MRI data with
3-directional velocity encoding were acquired on a 3T clinical MRI system
(MR750, GE Healthcare) with an 8 channel head
coil (Excite HD Brain Coil, GE Healthcare), and with a 3D radially
undersampled sequence, PC VIPR [4]. Scan parameters Venc = 80
cm/s, imaging volume = 22x22x10 cm3, (0.7 mm)3 acquired isotropic
spatial resolution, TR/TE=7.4/2.7ms, scan
time ~ 7 min, retrospective cardiac gated into 20 cardiac phases with temporal
interpolation[5]. Flow analysis: Vessel segmentation was performed in Matlab (The
Mathworks, Natick, MA) on the PC angiograms, while interactive flow
visualization and selection of planes for quantitative analysis were carried
out in Ensight (CEI, Apex, NC), also using PC angiograms. For this purpose,
flow analysis planes were manually placed orthogonal to the vessel orientation
in 4 vessel segments (Fig. 1) (d, e): distal cervical Internal Carotid Artery
(ICA) (left & right) and 5 mm from the Middle Cerebral Artery origin (left
& right). 2D cine images series with through plane velocities were
generated from the 4D flow MRI data and analyzed in a customized Matlab tool [6]
that automatically detected the edge of the vessel wall. Pulsatility index ($$$PI=\frac{Q{max}-Q{min}}{Q_{mean}}$$$) and MCA/ICA PI ratios were calculated for the vessel
segments and groups were compared with Student’s t-test (statistical
significance for p<0.05).
Results
Results for the
vessel analysis are summarized in Figures 2, 3 & 4. We found a significant
increase in PI from ICA to MCA for all three groups especially pronounced in
the AD cohort. The MCI/ICA ratio is significantly larger in the AD group compared
to age matched controls, increasing by 13%. There is also significant increase
in cervical ICA PI when AD and MCI are compared to controls. With the AD group
reporting a 24 % increase in cervical ICA PI when compared to controls. The MCA
PI was significantly higher in the AD cohort when compared to controls,
reporting a 26% augmentation.
Discussion
These results differ from those reported in a study
based on PC MRI on a healthy young population, where flow pulsatility was
attenuated along the carotid syphon, possibly due to the contorted shaped of
the cervical ICA [1]. Our results indicate an age-associated increased arterial
rigidity and decreased arterial compliance, significantly aggravated in the AD cohort
[3]. This pathology reduces the Windkessel effect, progressing to increase
pulse wave velocity and possibly contributing to reduced glymphatic transport
of amyloid from the extracellular space and cognitive decline.
Conclusions
This study demonstrates
the feasibility of hemodynamic analysis over a large vascular territory in the
context of Alzheimer’s disease with 4D flow MRI within a 7 minute acquisition. All
three groups of elderly patients and controls showed significant increase in flow
pulsatility from ICA to MCA, indicating age associated arterial wall
stiffening. However, the AD group reported significantly higher MCA/ICA PI
ratio than the controls, suggesting a further diminished potentially protective
effect from arterial pulsation for downstream cerebral vasculature. With the large volume coverage and high temporal and
spatial resolution demonstrated here, 4D flow MRI can provide additional
biomarkers of vascular health that can contribute to identifying patients who
could benefit from interventions to improve circulatory system functions.
Acknowledgements
We gratefully acknowledge funding by the NIH (NIA
grant P50-AG033514 and NIGMS R25GM083252)
as well as GE Healthcare for their assistance and support. The content is solely the responsibility of
the authors and does not necessarily represent the official views of the NIH.References
[1] Schubert T,
Santini F, Stalder AF, Bock J, Meckel S, Bonati L, et a. Dampening of
Blood-Flow Pulsatility along the Carotid Siphon: Does Form Follow Function? AJNR
2011;32:1107-1112.
[2] Roher AE.
Editorial Comment: Cardiovascular system participation in Alzheimer's disease
pathogenesis. Journal of Internal Medicine. 2015; 277(4): 426-28.
[3] Roher AE, Garami
Z, Tyas SL, Maarouf CL, Kokjohn TA, Belohlavek M, et al. Transcranial Doppler
ultrasound blood flow velocity and pulsatility index as systemic indicators for
Alzheimer’s disease. Alzheimers Dement. 2011;7:445–455.
[4] Gu T, Korosec
FR, Block WF, Fain SB, Turk Q, Lum D, et al. PC VIPR: a high-speed 3D
phase-contrast method for flow quantification and high resolution angiography.
AJNR Am J Neuroradiology 2005;26(4):743–749.
[5] Liu J, Redmond
MJ, Brodsky EK, Alexander AL, Lu A, Thornton FJ, et al. Generation and
visualization of four dimensional MR angiography data using an undersampled 3-D
projection trajectory. IEEE Trans Med Imaging. 2006; 25(2):148–157.
[6] Stalder AF,
Russe MF, Frydrychowicz A, Bock J, Henning J, Markl M. Quantitative 2D and 3D
phase contrast MRI: optimized analysis of blood flow and vessel wall
parameters. Magn Reson Med 2008;60:1218–31.