Apparent diffusion coefficient mapping of infarcted tissue and the ischaemic penumbra in acute stroke

M El-Koussy1, K O Lövblad, C Kiefer

  • 1Department of Neuroradiology, University of Bern, Inselspital, Freiburgstrasse, 3010 Bern, Switzerland.

Neuroradiology
|October 22, 2002
PubMed

Insights

Accurate assessment of acute ischemic stroke using MRI requires analyzing the apparent diffusion coefficient (ADC). A new method, relative weighted mean ADC (rwmADC), provides a more precise estimate of infarct volume and better correlates with clinical outcomes.

Area of Science:

  • Neurology
  • Radiology
  • Medical Imaging

Background:

  • Acute ischemic stroke assessment relies on MRI diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) analysis.
  • Accurate estimation of infarct volume is crucial for patient management and treatment decisions.

Purpose of the Study:

  • To introduce and validate a novel method, relative weighted mean ADC (rwmADC), for more accurate infarct volume quantification in acute ischemic stroke.
  • To compare the accuracy of rwmADC-derived lesion volume (DLVR) with conventional diffusion-lesion volume (DLV) and final infarct size.

Main Methods:

  • Diffusion- and perfusion-weighted MRI were performed on ten patients with acute ischemic stroke.
  • The rwmADC was calculated and used to determine the corrected ADC-lesion volume (DLVR).
  • DLVR was compared with DLV, initial perfusion lesion volumes, and follow-up infarct volume on T2-weighted images.

Main Results:

  • The DLVR showed the closest correlation with the final infarct size (r=0.77).
  • The rwmADC method provided a more accurate estimate of infarcted brain parenchyma volume.
  • The DLVR demonstrated the best clinicoradiological correlation among the assessed metrics.

Conclusions:

  • Weighting the mean ADC within ischemic and normal brain parenchyma improves the accuracy of infarct volume estimation.
  • The rwmADC method enhances the definition of the ischemic penumbra, aiding in clinical decision-making.
  • This approach offers a more reliable tool for assessing the extent of brain damage in acute ischemic stroke.