Predicting Stroke Risk in Intracranial Atherosclerotic Disease with Novel High Resolution,Functional and Molecular MRI Techniques - Resubmission - 1

NIH RePORTER · NIH · R01 · $624,946 · view on reporter.nih.gov ↗

Abstract

Project Summary/Abstract The long-term goal of this work is to reduce the incident of stroke by identifying the most vulnerable patients using MRI scans. Currently roughly 1 of every 8 patient who have had an initial stroke from intracranial atherosclerosis disease (ICAD) will suffer a second stroke within a year. Patients who are likely to fail medical management have loss of cerebrovascular reserve, poor collateral arterial blood supply, and/or plaque that is vulnerable to rupture from active macrophage infiltration. Our goal is to identify vulnerable patients to inform the selection for new medical management protocols, stenting or stent-less angioplasty. We will develop a suite of new MRI scans and evaluate them in the intended patient population, comparing to reference standard CO2 Challenge CVR, HMPAO SPECT or direct imaging of active macrophages. Significance: ICAD is one of the most common causes of stroke worldwide and carries an extremely a high risk of recurrent stroke. ICAD patients with severe stenosis (70 to 99%) are at particularly high risk for recurrent stroke in the vascular territory of the stenosis (~12 to 20% within 12 months) despite treatment with aspirin, Plavix and management of risk factors (hypertension, smoking etc). The use of new, preventative treatment including angioplasty, new anti-platelet medication would benefit if the most vulnerable patient can be identified. Our imaging biomarkers will improve risk stratification for the of stroke in a vulnerable, high risk population. Innovation: We have developed time resolve MRI scans that are targeted to risk factor of stroke in ICAD: (1) Cardiac Gated “Snapshot” images of transient changes in the cerebral vasculature in response to arterial pressure changes induced by the cardiac cycle. These changes are muted by a loss of cerebrovascular reserve a risk fact of stroke. (2) A new mathematical deconvolution algorithm based on linear time-invariant system theory to quantify perfusion supplied to a vascular bed through collateral arterial blood supply distal to a stenosis. (3) First ever high-resolution permeability of the intracranial arterial walls to identify macrophage infiltration. Scientific Rigor: The geometry of the human head and topology of the vasculature are unique, and we therefore perform all our studies in the intended patient population: humans with ICAD. To ensure scientific rigor, we will compare directly to reference standard values of CO2 cerebrovascular reserve, collateral arterial supply, and macrophage infiltration in plaques. Probability of Success: We have built a strong, multi-disciplinary team with a long track record of successful, collaborative neurovascular research. We believe this high probability of successful completion of the aims and high likelihood of clinical translation.

Key facts

NIH application ID
10053118
Project number
1R01NS114632-01A1
Recipient
UNIVERSITY OF CHICAGO
Principal Investigator
Sameer A Ansari
Activity code
R01
Funding institute
NIH
Fiscal year
2020
Award amount
$624,946
Award type
1
Project period
2020-09-01 → 2024-06-30