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Intraparenchymal Hyperattenuations on Flat-Panel CT Directly After Mechanical Thrombectomy are Restricted to the
Tanja Schneider1, Tobias Mahraun2, Julian Schroeder3
1Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Haus O22, 20246, Hamburg, Germany. tan.schneider@uke.de.
Clinical Neuroradiology
|September 18, 2016
Summary
Intraparenchymal hyperattenuations (IPH) after stroke treatment often appear within the initial ischemic core. These findings may indicate the final infarct volume, aiding treatment decisions.
Area of Science:
- Neurology
- Radiology
- Neurosurgery
Background:
- Intraparenchymal hyperattenuations (IPH) are common after endovascular recanalization in stroke patients.
- IPH are presumed to occur in ischemic areas with blood-brain barrier breakdown.
- Limited studies have investigated the interaction between IPH and initial ischemic lesions.
Purpose of the Study:
- To assess the relationship between intraparenchymal hyperattenuations (IPH) and prethrombectomy diffusion-weighted imaging (DWI) lesions.
- To understand the localization patterns of IPH in relation to the ischemic core.
- To evaluate the clinical significance of IPH in stroke patients.
Main Methods:
- Retrospective multicenter study of 27 acute stroke patients.
- Performed diffusion-weighted imaging (DWI) before flat-panel computed tomography (FP-CT) and mechanical thrombectomy.
- Utilized software-based coregistration of DWI and FP-CT for lesion volumetry and overlap analysis.
Main Results:
- Observed two IPH patterns: within the DWI lesion and exceeding the DWI lesion.
- IPH exceeding DWI lesions indicated demarcated infarction at 24 hours.
- IPH predominantly occurred in the basal ganglia and insular cortex, with no major post-IPH hemorrhage.
Conclusions:
- IPH primarily manifest within the initial ischemic core and secondarily in progressed penumbral tissue.
- IPH can represent the minimum final infarct volume.
- Understanding IPH patterns may aid peri-interventional decision-making in stroke management.

