Honda, T

Background: Perfusion weighted imaging on MRI (MRP) and computerized tomography perfusion (CTP) are increasingly required to manage large vessel disease. Computerized algorithms can quantify perfusion data, but the programs are expensive and not widely used outside acute stroke evaluation. We aimed to determine how well human observers can identify asymmetries in cerebral perfusion images compared with an automated computer algorithm. Methods: Ten clinicians experienced in treating carotid artery disease (4 vascular neurologists, 3 neuroradiologists, 1 vascular surgeon, 1 neurosurgeon, 1 interventional radiologist) were given 28 post-processed, color-coded, axial-slice MRP scans from patients in the Carotid Revascularization Endovascular versus Stenting Trial - Hemodynamics (CREST-H) study. All patients had >70%, unilateral, asymptomatic carotid artery stenosis and had varying degrees of time-to-peak (TTP) delay on the side of stenosis, ranging from 0 to 2 secs, quantified by a semi-automated system that computes quantitative perfusion maps, using deconvolution of tissue and arterial signals (Olea, Cambridge, MA). A minimum volume of 10cc was required for a given TTP delay. Clinicians were asked to determine asymmetry (y/n) and side of occlusion for each case. Number of correct responses that matched the computer output were tallied. Results: We averaged correct responses by the 10 clinicians for cases at each increment of TTP delay; (Figure). At TTP delays ≥1.5 seconds, accuracy was ≥80%. At 1.25 sec accuracy fell to 60%, and at ≤ 1 sec, accuracy was ≤50%. For TTP=0 (no asymmetry), accuracy was 71%. Conclusions: Visual impression of hemodynamic asymmetry among experienced clinicians was reasonably accurate for TTP delays ≥1.5 seconds, but declined with more subtle asymmetries. Depending on the clinical impact of TTP delays (for CREST-H: correlation with cognitive decline), experienced clinicians may perform as well as an automated algorithm.

Background: Poor collateral circulation and hypoperfusion may lead to recurrent stroke in intracranial atherosclerotic disease (ICAD). The role of perfusion in silent strokes and potentially insidious cognitive impairment in ICAD is unknown. We used evidence of impaired perfusion at angiography in SAMMPRIS to predict subsequent cognitive changes. Methods: Angiography at enrollment in the SAMMPRIS trial was independently evaluated, blind to clinical data and cognitive testing. Antegrade flow in the symptomatic arterial territory and corresponding collateral flow were scored. Impaired perfusion was defined by poor antegrade and poor collateral flow. Serial testing with the Montreal Cognitive Assessment (MoCA) was done in subjects without aphasia or neglect at baseline, 4 mo, 12 mo and closeout, or until subjects had a clinical stroke endpoint. Results: 207 subjects (median age 61, range 33-81 years; 37% women) had baseline MoCA scores with angiography data on territorial perfusion. Baseline MoCA scores (mean 24.2±4.1) were similar between categories of antegrade flow and collateral circulation. Impaired perfusion was noted in 33/207 (16%). Serial MoCA revealed that changes in cognition over time were different at 4 mo, 12 mo and closeout based on the presence of impaired perfusion at baseline (p<0.001). After more modest (mean MoCA change = 0.5 increase from baseline, p=0.80) early improved cognitive function at 4 mo, those with impaired perfusion had cognitive decline at 12 mo (mean MoCA change, p<0.01) unlike the continued improvement in other subjects. Cognitive changes in those with impaired perfusion were associated with a higher frequency of subsequent stroke in the territory. Conclusions: Impaired perfusion in the symptomatic arterial territory of ICAD predicts cognitive outcomes that may precede recurrent ischemia. Future studies may define the role of noninvasive perfusion imaging in ICAD to predict cognitive trajectories and recurrent stroke.

Background: Low wall shear stress (LSS) is an established cause of pro-atherogenic endothelial pathophysiology, yet it has never been demonstrated in the cerebral circulation affected by intracranial atherosclerotic disease (ICAD). Noninvasive CT angiography (CTA) computational fluid dynamics (CFD) enables high-resolution investigation of detailed post-stenotic phenomena. We used all available CTA data in the SAMMPRIS trial of ICAD to detect and quantify post-stenotic LSS. Methods: CTA source images from SAMMPRIS were reconstructed in 3D followed by geometry refinements to generate a mesh of the diseased arterial lesion and adjacent segments. CFD was performed with Ansys (ICEM, Fluent), applying reference boundary conditions with k-omega turbulence and non-Newtonian modeling of the traversing blood viscosity. 3D CFD parameter maps illustrated velocity, velocity swirling and corresponding wall shear stress. Results: 144 subjects enrolled in SAMMPRIS had CTA at baseline, including 140 with CTA source images enabling CFD. Post-stenotic velocity profiles revealed vortices in all cases, quantified by swirling and turbulent kinetic energy. These luminal flow changes were adjacent to focal regions of LSS in the post-stenotic region (Figure). Conclusions: Low wall shear stress is associated with vortices of fluid flow in CTA CFD modeling of ICAD from SAMMPRIS. CTA source images may be used to noninvasively quantify LSS and model this pro-atherogenic factor in ICAD across a wide variety of lesions. Future studies should examine the related endothelial biology and potential link with plaque evolution.