Abstract TMP78: Using Interventional CT Perfusion Imaging to Evaluate Cerebral Blood Volume Surrounding Intracerebral Hemorrhage Site Following Minimally Invasive Evacuation
STROKE（2023）
Abstract
Introduction: Computed tomography perfusion (CTP) characterizes hemodynamic changes within brain tissue, particularly after stroke. This study aims to quantify cerebral blood volume (CBV) changes and identify predictors of CBV increase in the pericavity parenchyma after minimally invasive intracerebral hemorrhage evacuation (MIS for ICH). Methods: Thirty-two patients underwent MIS for ICH with pre/postoperative native CT imaging and intraoperative perfusion imaging (DynaCT PBV Neuro, Artis Q, Siemens). Scans were segmented using ITK-SNAP software to calculate hematoma volumes pre/post-evacuation and to delineate the pericavity tissue. Helical CT segmentations were registered to cone beam CT data using elastix software. Mean CBVs were computed inside subvolumes by dilating the segmentations with spheres with varying diameters. Results: In 27 patients with complete imaging, CTP analysis demonstrated significant increases in CBV from the 6 mm to 20 mm pericavity regions. CBV increased on average 32.7% from 2.27 mL/100mg (IQR 1.87-3.02) to 2.80 mL/100mg (2.41-3.61) in the 10 mm pericavity region (P=0.003). Factors associated with increased CBV in the univariate analysis (P≤0.10) included age (P=0.082) and percentage of hematoma evacuation (P=0.078). Upon multivariate linear regression, age (OR 4.49, [95% CI, 1.01-1.98], P=0.048) and percentage of hematoma evacuation (OR 4.09, [95% CI, 1.70-9.84], P=0.046) remained significantly predictive of increased CBV. Conclusions: CTP analysis demonstrated a significant increase in pericavity cerebral blood volume after MIS for ICH. Patient age and hematoma evacuation percentage may be predictive of CBV increase after MIS for ICH. Figure 1: Topographic map showing blood flow improvement at different distances from the lesion.
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Key words
Perfusion Imaging,Cerebral Blood Flow,CT and MRI,Medical Image Analysis,Intracranial Pressure
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