Literature DB >> 24593693

Noninvasive fractional flow on MRA predicts stroke risk of intracranial stenosis.

David S Liebeskind1, Andrzej S Kosinski, Michael J Lynn, Fabien Scalzo, Albert K Fong, Pari Fariborz, Marc I Chimowitz, Edward Feldmann.   

Abstract

BACKGROUND AND
PURPOSE: Fractional flow may identify hemodynamic effects and ischemic risk beyond percent stenosis of an artery. We hypothesized that diminished TOF-MRA signal intensity distal to an intracranial stenosis predicts stroke risk.
METHODS: TOF-MRA was acquired prospectively in the SONIA-WASID trials. The distal/proximal signal intensity ratio (SIR) was calculated from 3 mm regions of interest, blinded to outcome. Univariate and multivariate analyses included clinical variables, SIR, and invasive angiography measures to identify predictors for risk of stroke in the territory.
RESULTS: 189 patients with 50-99% symptomatic intracranial stenosis in SONIA-WASID had TOF-MRA available. In univariate analysis, the hazard ratio (HR) for stroke in the territory of the symptomatic artery with SIR < .9 was 5.2 (1.8, 15.3; P < .001) as compared to SIR ≥ .9. Multivariate analysis correcting for baseline systolic blood pressure, LDL, centrally measured percent stenosis, recency of symptoms, TICI and downstream collaterals, the HR for SIR < .9 was 10.9 (2.0, 58.9; P < .001). In those with <70% stenosis, a SIR < .9 maintained a significant association with recurrent stroke in the territory (P = .006), with a 2-year event rate of 17.3%.
CONCLUSIONS: Fractional flow assessed by TOF-MRA SIR may be a useful noninvasive tool to identify high-risk intracranial lesions. CLINICAL TRIAL REGISTRATION-URL: This trial was not registered because enrollment began prior to July 1, 2005.
Copyright © 2014 by the American Society of Neuroimaging.

Entities:  

Keywords:  Intracranial atherosclerosis; MRA; fractional flow; stenosis; stroke

Mesh:

Year:  2014        PMID: 24593693      PMCID: PMC4156566          DOI: 10.1111/jon.12101

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


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