Diffusion- and Perfusion-Weighted Imaging to Detect Neurological Deficits in Acute Focal Cerebral Ischemia in Rabbits

Yu Zhang1, Xuefei Deng2, Jiangdong Chu1

  • 1Department of Radiology, The 901st Hospital of the Joint Logistics Support Force of PLA, 230031 Hefei, Anhui, China.

Abstract

Insights

Diffusion-weighted imaging (DWI) and perfusion-weighted imaging (PWI) parameters accurately reflect dysfunction in acute focal cerebral ischemia (ACI) rabbits. These imaging techniques show strong correlations with clinical assessment scores and cellular damage, aiding in understanding ACI severity.

Area of Science:

  • Neuroscience
  • Radiology
  • Medical Imaging

Background:

  • Acute focal cerebral ischemia (ACI) is a critical condition requiring accurate assessment of brain tissue damage.
  • Diffusion-weighted imaging (DWI) and perfusion-weighted imaging (PWI) are advanced MRI techniques used to evaluate cerebral blood flow and tissue viability.
  • Understanding the relationship between imaging parameters and clinical dysfunction is crucial for effective management of ACI.

Purpose of the Study:

  • To investigate the correlation between diffusion-weighted imaging (DWI) and perfusion-weighted imaging (PWI) parameters and the severity of dysfunction in a rabbit model of acute focal cerebral ischemia (ACI).
  • To compare the accuracy of different imaging modalities in assessing the extent of ischemic brain injury.
  • To evaluate the degree of cellular damage in relation to imaging findings and clinical scores.

Main Methods:

  • A rabbit model of middle cerebral artery occlusion was established to induce ACI.
  • Dysfunction severity was assessed using Purdy's score.
  • Abnormal signal zone (ASZ) volumes were measured using T2-weighted imaging (T2WI), dynamic susceptibility contrast-enhanced (DSC) PWI, DWI, and relative cerebral blood flow (rCBF) maps.
  • Correlations between ASZ volumes, Purdy's score, and cellular damage (necrotic and apoptotic cells) were analyzed using Spearman's rank correlation coefficient.

Main Results:

  • ASZ volumes from DSC-PWI and rCBF maps were significantly larger than those from DWI (p < 0.001).
  • Volumes from rCBF and DSC-PWI showed positive correlations with DWI findings (p < 0.001).
  • Purdy's score positively correlated with ASZ volumes from DSC-PWI, DWI, and rCBF (p < 0.001).
  • Significant differences in necrotic and apoptotic cell counts were observed between DWI and PWI-DWI mismatch zones (p < 0.001).

Conclusions:

  • The volumes of abnormal signal zones derived from DSC-PWI, rCBF, and particularly DWI, effectively reflect the level of dysfunction in rabbits with ACI.
  • Imaging parameters, especially DWI, show strong correlations with clinical dysfunction scores, indicating their utility in assessing ACI severity.
  • Further research may refine the use of these advanced imaging techniques for precise clinical management of ischemic stroke.