Fractional Flow on TOF-MRA as a Measure of Stroke Risk in Children with Intracranial Arterial Stenosis

A Y Ibrahim1,2, A Amirabadi3, M M Shroff3

  • 1From the Department of Diagnostic Imaging (A.Y.I., A.A., M.M.S., P.M.) dr.alaa_yonis@yahoo.com.

Insights

Signal intensity ratios from time-of-flight magnetic resonance angiography (TOF-MRA) offer a noninvasive method for assessing intracranial arterial stenosis in children. This technique helps identify high-risk lesions associated with pediatric stroke.

Area of Science:

  • Neurology
  • Radiology
  • Pediatric Medicine

Background:

  • Conventional angiography is the gold standard for measuring intracranial arterial stenosis.
  • There is a need for noninvasive methods to assess stenosis and infarct risk in pediatric stroke patients.

Purpose of the Study:

  • To evaluate signal intensity ratios from time-of-flight magnetic resonance angiography (TOF-MRA) as a measure of intracranial stenosis.
  • To assess the correlation between these ratios and infarct risk in pediatric stroke.

Main Methods:

  • Retrospective study of children with intracranial arterial stenosis undergoing TOF-MRA and conventional angiography.
  • Measurement of arterial diameters for percentage stenosis.
  • Region of interest (ROI) analysis on TOF-MRA to calculate post-/pre-signal intensity ratios.
  • Statistical analysis including Pearson correlation, point-biserial correlation, and ROC analysis.

Main Results:

  • A moderate negative correlation (R = -0.54) was found between signal intensity ratios and conventional angiography stenosis.
  • Signal intensity ratios effectively identified severe stenosis (≥70%) with high sensitivity (97.1%) and specificity (77.8%) at a threshold of 1.00.
  • Lower signal intensity ratios were associated with increased stenosis severity and the presence of downstream infarcts.

Conclusions:

  • Signal intensity ratios derived from TOF-MRA provide a noninvasive method for quantifying intracranial arterial stenosis in children.
  • This method aids in identifying high-risk lesions relevant to pediatric stroke.
Abstract