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

Publication ,  Journal Article
Liebeskind, DS; Kosinski, AS; Lynn, MJ; Scalzo, F; Fong, AK; Fariborz, P; Chimowitz, MI; Feldmann, E
Published in: J Neuroimaging
2015

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.

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Published In

J Neuroimaging

DOI

EISSN

1552-6569

Publication Date

2015

Volume

25

Issue

1

Start / End Page

87 / 91

Location

United States

Related Subject Headings

  • United States
  • Stroke
  • Sensitivity and Specificity
  • Risk Assessment
  • Reproducibility of Results
  • Prognosis
  • Neurology & Neurosurgery
  • Magnetic Resonance Angiography
  • Intracranial Arteriosclerosis
  • Image Interpretation, Computer-Assisted
 

Citation

APA
Chicago
ICMJE
MLA
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Liebeskind, D. S., Kosinski, A. S., Lynn, M. J., Scalzo, F., Fong, A. K., Fariborz, P., … Feldmann, E. (2015). Noninvasive fractional flow on MRA predicts stroke risk of intracranial stenosis. J Neuroimaging, 25(1), 87–91. https://doi.org/10.1111/jon.12101
Liebeskind, David S., Andrzej S. Kosinski, Michael J. Lynn, Fabien Scalzo, Albert K. Fong, Pari Fariborz, Marc I. Chimowitz, and Edward Feldmann. “Noninvasive fractional flow on MRA predicts stroke risk of intracranial stenosis.J Neuroimaging 25, no. 1 (2015): 87–91. https://doi.org/10.1111/jon.12101.
Liebeskind DS, Kosinski AS, Lynn MJ, Scalzo F, Fong AK, Fariborz P, et al. Noninvasive fractional flow on MRA predicts stroke risk of intracranial stenosis. J Neuroimaging. 2015;25(1):87–91.
Liebeskind, David S., et al. “Noninvasive fractional flow on MRA predicts stroke risk of intracranial stenosis.J Neuroimaging, vol. 25, no. 1, 2015, pp. 87–91. Pubmed, doi:10.1111/jon.12101.
Liebeskind DS, Kosinski AS, Lynn MJ, Scalzo F, Fong AK, Fariborz P, Chimowitz MI, Feldmann E. Noninvasive fractional flow on MRA predicts stroke risk of intracranial stenosis. J Neuroimaging. 2015;25(1):87–91.
Journal cover image

Published In

J Neuroimaging

DOI

EISSN

1552-6569

Publication Date

2015

Volume

25

Issue

1

Start / End Page

87 / 91

Location

United States

Related Subject Headings

  • United States
  • Stroke
  • Sensitivity and Specificity
  • Risk Assessment
  • Reproducibility of Results
  • Prognosis
  • Neurology & Neurosurgery
  • Magnetic Resonance Angiography
  • Intracranial Arteriosclerosis
  • Image Interpretation, Computer-Assisted