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Diffusion-weighted MR imaging of acute stroke: correlation with T2-weighted and magnetic susceptibility-enhanced MR imaging in cats

📅 December 1, 2024 👤 Michael E. Moseley, John Kucharczyk, Jan Mintorovitch et al. 📖 American Journal of Neuroradiology 📊 901 citations

🤖 Plain-English Summary

We evaluated the temporal and anatomic relationships between changes in diffusion-weighted MR image signal intensity, induced by unilateral occlusion of the middle cerebral artery in cats, and tissue perfusion deficits observed in the same animals on T2-weighted MR images after administration of a nonionic intravascular T2 shortening agent. Close correlations were also found between early increases in diffusion-weighted MR image signal intensity and disrupted phosphorus-31 and proton metabolite...

🔑 Key Findings

  • Diffusion-weighted images obtained with strong diffusion-sensitizing gradient strengths (5.6 gauss/cm, corresponding to gradient attenuation factor, b, values of 1413 sec/mm2) displayed increased signal intensity in the ischemic middle cerebral artery territory less than 1 hr after occlusion, whereas T2-weighted images without contrast usually failed to detect injury for 2-3 hr after stroke.
  • After contrast administration (0.5-1.0 mmol/kg by Dy-DTPA-BMA, IV), however, T2-weighted images revealed perfusion deficits (relative hyperintensity) within 1 hr after middle cerebral artery occlusion that corresponded closely to the anatomic regions of ischemic injury shown on diffusion-weighted MR images.
  • Close correlations were also found between early increases in diffusion-weighted MR image signal intensity and disrupted phosphorus-31 and proton metabolite levels evaluated with surface coil MR spectroscopy, as well as with postmortem histopathology.

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📋 Article Details

Category ⚛️ Physics & Space Science
Published Dec 01, 2024
Journal American Journal of Neuroradiology
Authors Michael E. Moseley, John Kucharczyk, Jan Mintorovitch, Yoram Cohen, John Kurhanewicz
DOI 10.3174/ajnr.45-12.s8
Citations 901
Source OpenAlex

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