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Evaluation of leptomeningeal collaterals by DSC-based signal variance and hemodynamic features in asymptomatic carotid artery stenosis
Stephan Kaczmarz1,2, Lena Schmitzer1, Jens Göttler1,2, Kilian Weiss3, Christian Sorg1, Claus Zimmer1, Fahmeed Hyder2, Christine Preibisch1, and Alexander Seiler4
1School of Medicine, Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany, 2MRRC, Yale University, New Haven, CT, United States, 3Philips Healthcare, Hamburg, Germany, 4Department of Neurology, Goethe University Frankfurt, Frankfurt, Germany
Signal variance characteristics of perfusion-weighted MRI did not indicate leptomeningeal collateralization in asymptomatic carotid artery stenosis, but may detect vascular voxels at risk for future collateral recruitment according to multi-parametric hemodynamic characterization
Figure 1: MRI Protocol and derived parameters. Grey matter (GM) masks were derived from structural imaging, cerebral blood flow (CBF) by pseudo-continuous arterial spin labeling (pCASL),17 relative cerebral blood volume (rCBV) by dynamic susceptibility contrast (DSC)16 and combined with T2* and T2 yielding relative oxygen extraction fraction (rOEF)17. Based on the DSC time-series, voxels with high coefficient of variation (CoV, see Eq.1) were segmented (orange)12 and applied to hemodynamic parameters (green) after exclusion of ventricles and large vessels15 (red).

Figure 4: Hemodynamic characteristics in high-CoV voxels. CBF (A), rCBV (B) and rOEF (C) are compared in grey matter (GM; yellow) vs. high-CoV voxels (CoV; red) in healthy controls (HC; green) and ICAS patients (orange). Dots show mean parameter values, black lines connect the same subject’s mean values and red dashed lines represent group average values. CBF was systematically lower due to background suppression13 and rOEF elevated due to T2 bias26. In high-CoV voxels of both groups, all parameters showed significant effects. While CBF (A) and rCBV (B) were higher, rOEF was lower (C).