Imaging Predictors of Neurologic Outcome After Pediatric Arterial Ischemic Stroke

Bin Jiang1, Nancy K Hills2, Rob Forsyth3

  • 1Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA (B.J., Y.L., G.Z., M.W.).

Stroke
|December 7, 2020
PubMed

Insights

In childhood arterial ischemic stroke, larger infarcts and younger age predict worse outcomes, but weakly. Specific lesion locations are less predictive when infarct size is considered.

Area of Science:

  • Neurology
  • Pediatric Stroke
  • Neuroimaging

Background:

  • Childhood arterial ischemic stroke (AIS) is a significant cause of long-term disability.
  • Predicting neurological outcomes in pediatric AIS is crucial for management and prognosis.
  • Initial imaging characteristics may offer predictive value for long-term outcomes.

Purpose of the Study:

  • To determine if initial neuroimaging features independently predict 1-year neurological outcomes in pediatric AIS patients.
  • To investigate the association between infarct volume, location, hemorrhagic transformation, and neurological outcomes.

Main Methods:

  • Analysis of prospectively collected data from 288 pediatric AIS patients (VIPS study).
  • Measurement of infarct volume and location on acute MRI; assessment of hemorrhagic transformation.
  • Neurological outcome assessed using the Pediatric Stroke Outcome Measure at 1 year.
  • Univariate and multivariable logistic regression models used to analyze associations.

Main Results:

  • Larger infarct volumes and younger age at stroke onset were associated with poorer outcomes, though the association was weak.
  • Infarcts in specific locations (uncinate fasciculus, angular gyrus, insular cortex) were initially linked to poorer outcomes.
  • Location-based predictions lost significance when infarct volume was included in multivariable models.
  • Hemorrhagic transformation did not predict neurological outcomes.

Conclusions:

  • In pediatric AIS, larger infarct volume and younger age are associated with poorer outcomes, but with modest predictive strength.
  • Specific infarct locations are less predictive than infarct volume when assessing 1-year neurological outcomes.
  • Disruption of critical neural networks by infarcts may disproportionately impact outcomes in childhood AIS.
Abstract