Applicability of the Edinburgh CT Criteria for Lobar Intracerebral Hemorrhage Associated with Cerebral Amyloid

Lou Grangeon1,2, Melanie Roussel3, Andre Gillibert4

  • 1Department of Neurology, Rouen University Hospital, 76031, Rouen Cedex, France. lou.grangeon@gmail.com.

Clinical Neuroradiology
|January 4, 2023
PubMed

Insights

This study validates the Edinburgh CT criteria for diagnosing cerebral amyloid angiopathy (CAA) in patients with lobar hemorrhage. A three-variable model showed high accuracy, offering a practical tool for acute settings.

Area of Science:

  • Neurology
  • Radiology
  • Medical Diagnostics

Background:

  • Cerebral amyloid angiopathy (CAA) is a common cause of lobar intracerebral hemorrhage (ICH).
  • Accurate diagnosis of CAA is crucial for patient management and research.
  • The Edinburgh diagnostic criteria, based on CT and APOE status, were proposed for CAA-related ICH.

Purpose of the Study:

  • To externally validate the Edinburgh prediction model for CAA-related ICH.
  • To assess the model's performance excluding genetic information (APOE genotyping).
  • To evaluate the model using MRI-based Boston criteria for CAA diagnosis.

Main Methods:

  • Included 102 patients with spontaneous lobar ICH undergoing CT and MRI.
  • Classified patients into CAA and non-CAA groups based on MRI findings.
  • Two neuroradiologists assessed CT features of the Edinburgh criteria, blinded to final diagnosis.

Main Results:

  • The Edinburgh model (CT features: finger-like projections, subarachnoid extension) achieved an AUC of 0.760 for CAA diagnosis.
  • An enhanced model incorporating ICH cortical involvement improved AUC to 0.808.
  • The Boston MRI criteria served as the reference standard for CAA classification.

Conclusions:

  • The radiological Edinburgh CT criteria are externally validated and applicable in acute ICH settings.
  • A novel 3-variable prediction model (finger-like projections, subarachnoid extension, cortical involvement) demonstrates high diagnostic performance for CAA.
  • These findings support the use of CT-based radiological features for CAA diagnosis in acute lobar ICH.
Abstract