Meher Juttukonda1, Larry Davis1, Spencer Waddle1, Sarah Lants1, Matthew Fusco2, and Manus Donahue1
1Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 2Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN, United States
Synopsis
Intracranial
stenosis may be due to atherosclerotic or idiopathic non-atherosclerotic
mechanisms, and each condition may incur different consequences on cerebral
hemodynamics. The purpose of this study was to use a time regression analysis approach
applied to hypercapnic BOLD fMRI data to evaluate how cerebrovascular reactivity
(CVR) timing and maximum CVR may differ between patient groups and with
vasculopathy extent. Time-to-maximum CVR may be lengthened in territories
supplied by stenotic vessels in both patient groups; however, maximum CVR may
be reduced on average only in patients with non-atherosclerotic disease, potentially
indicating that arteriolar smooth muscle and/or endothelial function may differ
substantially between conditions.
Introduction
Intracranial
arterial stenosis represents a major stroke risk factor1 and can
be due to atherosclerotic plaque, or moyamoya disease, which is a non-atherosclerotic
and frequently idiopathic progressive narrowing of intracranial vessels2. Both conditions
cause a reduction in cerebral perfusion pressure (CPP), resulting in autoregulatory
increases in parenchymal cerebral blood volume (CBV) to compensate. However,
such compensation is not unlimited; as CBV approaches maximal capacity or
arteriolar smooth muscle becomes dysfunctional, the ability of the
microvasculature to respond to further changes in CPP or vasodilatory stimuli
is impaired. This ability can be evaluated in vivo using cerebrovascular
reactivity (CVR)-weighted approaches, in which fMRI data are acquired with hypercapnic
stimuli. Recently, time regression CVR analysis approaches have
been proposed, which allow for decomposition of the composite CVR response into
maximum CVR (CVRMAX) and time-to-maximum CVR (CVRDELAY)3. The
purpose of this study was to quantify CVR, CVRMAX, and CVRDELAY
separately in patients with atherosclerosis and moyamoya
to examine whether differences in CVRDELAY may bias
conventional measures of CVR.Methods
Study participants. Patients
with intracranial atherosclerosis (n=31) or moyamoya disease (n=44) and >50%
stenosis of a major intracranial vessel (intracranial ICA, or first segment of
the ACA, PCA, or MCA; intracranial vertebral or basilar artery) were scanned at
3.0T (Philips) within 30 days of stroke or TIA. All participants provided
informed written consent. Demographic information is summarized in Table 1.
Experiment. Respiratory
challenge-weighted blood-oxygenation-level-dependent (BOLD; TR/TE=2000/30ms;
spatial resolution=3x3x4mm3) MRI data were acquired with alternating
blocks of room air (180s) and hypercapnia (180s) to measure the CVR-weighted
response. Anatomical MR imaging, including T1-weighted
and T2-weighted FLAIR, were performed for infarct determination and
co-registration. Digital subtraction angiography (DSA) or computed tomography
angiography (CTA) were performed for vasculopathy assessment within 30 days of
MRI.
Analysis. First, BOLD
MRI data were analyzed using a conventional approach, where the stimulus
paradigm was applied as the regressor to qualitatively assess CVR (uncorrected CVR;
z-statistic). Second, a more novel time regression approach was applied3,
where the regressor was progressed in time, and maximum correlation (CVRMAX; z-statistic) and time-to-maximum correlation (CVRDELAY; seconds)
were separately quantified (Figure 2).
Stenosis was graded by a board-certified radiologist in each major
intracranial vessel as none (score=0;
stenosis<49%), mild (score=1; 50%≤stenosis<70%), severe (score=2; 70%≤stenosis<99%),
or occluded (score=3; stenosis=100%). Mean images
of uncorrected CVR, CVRMAX, and CVRDELAY
were calculated from vessels with different categorical stenosis scores.
Results
A
summary of demographic and imaging findings is shown in Table 1. In atherosclerosis patients, the regions with stenosis
score>0 appeared to exhibit (i) reduced uncorrected CVR and lengthened CVRDELAY
relative to regions without stenosis, but CVRMAX appears
unchanged unchanged between these regions (Figure
3A). In moyamoya patients, the hemispheres with stenosis score>0
displayed reduced uncorrected CVR, reduced CVRMAX, and lengthened
CVRDELAY
compared with the less impaired hemispheres (Figure 3B). The mean CVRDELAY range was 35-43s,
consistent with the requirement that vasoactive response times can be much
longer than simple blood arrival times in patients with cerebrovascular
disease.Discussion
We
utilized noninvasive MR methods to show that maximum CVR may be differentially
affected in regions supplied by stenotic vessels in moyamoya patients but not
in atherosclerosis patients, while CVR delay may be lengthened in both groups. As
such, in patients with atherosclerotic disease, the time to maximum reactivity,
but not cerebrovascular reserve itself, may be impaired. This work also has
implications for CVR-weighted mapping in cerebrovascular disease more broadly.
For instance, experiments that use short hypercapnic stimuli or ramped stimuli
with short durations (e.g., less than 40-50s) may suffer from artifacts related
to delayed reactivity compliance times. This analysis could underestimate true
cerebrovascular reserve capacity or, in extreme cases, even indicate apparent
negative cerebrovascular reserve, which has been interpreted as paradoxical
“vascular steal phenomena”. Such regions may indeed be hemodynamically
important, but the mechanism of impairment appears to frequently originate from
timing differences rather than reserve exhaustion alone.
Acknowledgements
No acknowledgement found.References
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CA, Turan TN, Chimowitz MI. Atherosclerotic intracranial arterial stenosis:
Risk factors, diagnosis, and treatment. Lancet
Neurol. 2013;12:1106-1114
2. Bang
OY, Toyoda K, Arenillas JF, Liu L, Kim JS. Intracranial large artery disease of
non-atherosclerotic origin: Recent progress and clinical implications. J Stroke. 2018;20:208-217
3. Donahue
MJ, Strother MK, Lindsey KP, Hocke LM, Tong Y, Frederick BD. Time delay
processing of hypercapnic fmri allows quantitative parameterization of
cerebrovascular reactivity and blood flow delays. J Cereb Blood Flow Metab. 2015