Dynamic susceptibility contrast-enhanced perfusion MR imaging at 1.5 T predicts final infarct size in a rat stroke

Feng Chen1, Yasuhiro Suzuki, Nobuo Nagai

  • 1Department of Radiology, University Hospitals, K.U.LEUVEN, Herestraat 49, B-3000 Leuven, Belgium.

Insights

Early MRI perfusion imaging (DSC-PWI) in rats can predict final stroke size. This dynamic susceptibility contrast-enhanced perfusion weighted imaging technique shows promise for noninvasive stroke assessment.

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Radiology

Background:

  • Stroke is a leading cause of death and disability worldwide.
  • Accurate prediction of infarct size is crucial for treatment decisions and prognosis.
  • Current methods for infarct size prediction may have limitations in early assessment.

Purpose of the Study:

  • To evaluate the feasibility of using early dynamic susceptibility contrast-enhanced perfusion weighted imaging (DSC-PWI) to predict final cerebral infarct size in a rat stroke model.
  • To compare the predictive accuracy of DSC-PWI with other MRI sequences (T2WI, DWI) and TTC staining.

Main Methods:

  • A rat model of stroke was created using photochemically induced thrombosis (PIT) of the middle cerebral artery (MCA).
  • MRI scans, including T2WI, DWI, and DSC-PWI, were performed at 1 hour and 24 hours post-MCA occlusion.
  • Relative lesion size (RLS) was calculated and compared with the final infarct size determined by triphenyl tetrazolium chloride (TTC) staining at 24 hours.

Main Results:

  • At 1 hour post-MCA occlusion, DSC-PWI showed a significantly larger RLS (24.9%) compared to DWI (17.6%).
  • At 24 hours, the final infarct size measured by TTC (24.3%) was comparable to RLS values obtained from T2WI (25.1%), DWI (24.6%), and DSC-PWI (27.9%).
  • The perfusion deficit shown by DSC-PWI at 1 hour closely mirrored the final infarct size on TTC staining.

Conclusions:

  • Early source images from DSC-PWI at 1.5T MRI are feasible for noninvasively predicting final infarct size in rat stroke models.
  • DSC-PWI offers a promising tool for early stroke assessment and prognosis.
  • This technique may aid in optimizing treatment strategies for stroke patients.

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