The e-STROKE Study: The Design of a Prospective Observational Multicentral Study

Kateřina Dvorníková1, Veronika Kunešová2,3, Svatopluk Ostrý4

  • 1Department of Neurology, University Hospital in Ostrava, 70800 Ostrava, Czech Republic.

Insights

This study evaluates CT imaging parameters for predicting stroke outcomes and improving treatment eligibility. Multimodal CT enhances diagnostic accuracy for acute ischemic stroke patients.

Area of Science:

  • Neurology
  • Radiology
  • Clinical Trials

Background:

  • Acute ischemic stroke management relies on timely and accurate assessment.
  • Multimodal CT imaging offers detailed insights into stroke pathophysiology.
  • Predicting functional outcomes is crucial for patient management and resource allocation.

Purpose of the Study:

  • To assess the predictive value of CT parameters (e-ASPECTS, CT perfusion, collateral status, lesion size/location) on 3-month functional outcomes (mRS) after recanalization therapy.
  • To determine if multimodal CT increases eligibility for recanalization therapy.
  • To evaluate the sensitivity and specificity of multimodal CT in differentiating stroke mimics from actual strokes.

Main Methods:

  • Prospective, multicenter observational study of acute ischemic stroke patients.
  • Data collection includes clinical, demographic, and comprehensive imaging variables (e-ASPECTS, CTP, collateral assessment, lesion volumes).
  • Analysis integrates data from RES-Q registry and e-STROKE system within the Czech Stroke Research Network.

Main Results:

  • The study aims to collect data from ~2000 patients across 22 centers over 12 months.
  • Expected to yield robust clinical and radiological data.
  • Analysis will focus on the correlation between CT parameters and patient outcomes.

Conclusions:

  • The findings are expected to refine the use of radiological markers in acute stroke management.
  • Enhanced precision in diagnostic and prognostic capabilities for stroke care.
  • Potential to improve patient selection for recanalization therapies and stroke mimic identification.