Related Experiment Videos

Prediction of early neurological deterioration using diffusion- and perfusion-weighted imaging in hyperacute middle

Juan F Arenillas1, Alex Rovira, Carlos A Molina

  • 1Cerebrovascular Unit, Vall d'Hebron Hospital, Barcelona, Spain. juanfarenillas@terra.es

Stroke
|September 7, 2002
PubMed
Abstract

Insights

Ultra-early diffusion-weighted imaging (DWI) effectively predicts early neurological deterioration (END) in ischemic stroke patients with middle cerebral artery or intracranial internal carotid artery occlusion. A DWI volume greater than 89 cm³ is a key indicator for predicting END.

Area of Science:

  • Neurology
  • Radiology
  • Medical Imaging

Background:

  • Early neurological deterioration (END) affects about one-third of ischemic stroke patients, leading to poor outcomes.
  • Predicting END is crucial for timely intervention and improved patient management.

Purpose of the Study:

  • To evaluate the predictive value of ultra-early magnetic resonance imaging (MRI) for END in ischemic stroke patients.
  • To identify specific MRI parameters that correlate with the risk of END.

Main Methods:

  • 30 ischemic stroke patients with middle cerebral artery (MCA) or intracranial internal carotid artery (ICA) occlusion underwent perfusion-weighted imaging (PWI) and diffusion-weighted imaging (DWI) within 6 hours of symptom onset.
  • NIH Stroke Scale (NIHSS) scores, vascular risk factors, and blood parameters were assessed. Logistic regression analysis was used to identify predictors of END.

Main Results:

  • Ultra-early diffusion-weighted imaging (DWI) volume was a significant independent predictor of END (odds ratio, 11.5; P=0.0028).
  • A DWI volume >89 cm³ predicted END with 85.7% sensitivity and 95.7% specificity.
  • Infarct growth showed a graded response related to the duration of arterial occlusion.

Conclusions:

  • Ultra-early DWI is a powerful tool for predicting END in patients with MCA or intracranial ICA occlusion.
  • DWI-based volume assessment can guide clinical decisions for stroke management.

Related Concept Videos