Collateral blood flow plays a central role during acute ischemic stroke, and the presence of good collaterals has been linked to improved clinical and radiologi- cal outcome measures both with and without successful recanalization. Despite this, the only method to assess adequacy of collaterals currently is in- vasive and expensive, digital subtraction cerebral angiography (DSA). It would be tremendously beneficial if collaterals could be visualized using a tomo- graphic, non-invasive imaging based modality, so that early treatment deci- sions could incorporate this critical information.
AIMS AND METHODS The overall goal of the imaging the Collaterals in Acute Stroke (iCAS) study, is to identify and quantify cerebral blood flow (CBF) delivered via collateral routes using arterial spin labeling (ASL), a non-contrast MRI technique, and to determine its impact on ischemic lesion growth and patient outcome. We will perform a prospective, multi-center study of 180 acute stroke patients imaged in the 4.5-12 hr time window with large vessel occlusive stroke who are under consideration for endovascular thrombolytic therapy. We will add two ASL sequences to our rapid stroke protocol: pseudocontinuous ASL (pcASL, 2.5 min) for identifying collaterals and velocity-selective ASL (VS-ASL, 2.5 min) for measuring quantitative CBF independent of arterial arrival delay.
In Aim 1, we will demonstrate equivalence between DSA and pcASL for collateral assessment, and determine the relationship between collateral and quantitative CBF using VS-ASL. Then, in Aim 2, we will determine whether ASL might be used to supplement or replace conventional bolus contrast PWI, determine the predictive ability of collateral assessment upon ischemic lesion growth, and evaluate how to incorporate collateral measurements into patient selection algorithms for endovascular therapy by examining the relationship between collaterals, revascularization, and patient outcome. SIGNIFICANCE We believe successful attainment of these aims will markedly improve acute stroke care by validating a non-invasive MRI-based method to assess both the presence of collaterals and the amount of CBF they deliver. iCAS will be the first prospective, multi-center study of ASL, a promising new non-contrast perfusion method, in acute stroke. In particular, the use of VS-ASL to obtain quantitative CBF measurements at serial timepoints in acute stroke will yield invaluable information on this critica hemodynamic parameter. It will provide a framework for incorporating collateral status into treatment decision-making, specifically by answering the question of whether patients with either very good or very poor collaterals benefit from recanalization. This study will lead to bettr understanding of the benefit of ASL measurements in patients with severe cerebrovascular disease and enhance the already significant diagnostic power of MRI in acute ischemic stroke.

Public Health Relevance

The ultimate severity of a large vessel occlusive stroke, which affects over 200,000 patients per year in the USA, is largely determined by the ability of collateral flow networks to supply blood to ischemic tissue via circuitous routes that bypass the proximal clot. Robust collateral flow improves the chance of good outcome in endovascular stroke therapy and decreases the risk of intracranial bleeding. Despite this, there has yet to be a prospective study of collateral flow in acute stroke patients. The goal of the imaging of Collaterals in Acute Stroke (iCAS) study is to determine how to incorporate MRI-based collateral perfusion assessment using a non-contrast perfusion method, arterial spin labeling (ASL), into patient-selection algorithms for endovascular stroke therapy. In our prior funding cycle, we successfully showed that ASL can effectively detect collaterals and determine the cerebral blood flow (CBF) they provide in patients with Moyamoya disease, a vasculopathy of young people who develop extensive collateral networks. Based on this, we are ready to apply these techniques to the larger population of acute stroke patients. We will build on the recently completed, successful DEFUSE-2 trial by adding two short ASL sequences to the acute stroke assessment, one to assess collaterals (pseudocontinuous ASL) and the other to measure quantitative CBF (velocity-selective ASL). To this end, we will perform the first multi-center ASL trial in 180 acute stroke patients, who will undergo serial MR imaging and clinical follow-up. Our aims address (1) the accuracy of ASL methods for assessing collaterals and (2) the ability of early ASL collateral imaging to predict infarct lesion growth and good clinical outcome. We will specifically determine how to integrate information about collaterals into patient triage strategie to obtain the best possible outcomes. Such information will have importance beyond endovascular therapy, and could impact decision- making on the use of intravenous tPA both within and beyond current standard time windows. Successful completion of the iCAS study will lead to better understanding of the role of collaterals in acute stroke patients. Furthermore, imaging quantitative CBF at multiple time points will better elucidate the physiology underlying tissue infarction in patients with both successful and unsuccessful stroke therapy. In summary, the findings from this study will markedly enhance our understanding of collaterals and their physiological impact in the ischemic brain, and enhance already significant diagnostic power of MRI in acute ischemic stroke.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
4R01NS066506-07
Application #
9069632
Study Section
Acute Neural Injury and Epilepsy Study Section (ANIE)
Program Officer
Koenig, James I
Project Start
2009-08-05
Project End
2018-05-31
Budget Start
2016-06-01
Budget End
2017-05-31
Support Year
7
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Stanford University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304
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