Modest MRI signal intensity changes precede delayed cortical necrosis after transient focal ischemia in the rat

Santiago Rojas1, Abraham Martín, Carles Justicia

  • 1Department of Pharmacology and Toxicology, Institut d'Investigacions Biomèdiques de Barcelona-Consejo Superior de Investigaciones Científicas, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain.

Stroke
|May 6, 2006
PubMed
Abstract

Insights

Subtle MRI changes like reduced apparent diffusion coefficient (ADC) signal intensity after transient ischemia may indicate delayed infarction. Early, minor ADC signal alterations in the cortex can precede significant histopathological damage.

Area of Science:

  • Neuroimaging
  • Stroke Research
  • Histopathology

Background:

  • Diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) MRI are key for acute stroke detection.
  • Early reperfusion can reverse DWI changes, but they may recur.
  • The significance of subtle early MRI signal changes in stroke progression remains unclear.

Purpose of the Study:

  • To evaluate the temporal dynamics of regional MRI signal intensity changes within 24 hours of reperfusion after transient ischemia.
  • To correlate these MRI signal changes with histopathological damage progression.

Main Methods:

  • A rat model of transient middle cerebral artery occlusion (1-hour duration) was used (n=54).
  • MRI signal intensity changes (ADC) were monitored during the first 24 hours of reperfusion.
  • Histopathological analysis included TTC staining and markers for neuronal and glial injury.

Main Results:

  • Striatal infarction occurred early, while cortical necrosis was delayed.
  • Striatal ADC ratios decreased significantly by 12 hours, correlating with infarction.
  • Cortical ADC ratios showed only minor changes early on, but significant decreases (>30%) coincided with infarction onset and cell death.

Conclusions:

  • Minor ADC signal intensity reductions early after ischemia should not be dismissed.
  • These subtle changes may predict subsequent infarction development, particularly in areas like the cortex.

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