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Updated: Jan 28, 2026

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
Published on: September 16, 2017
Leptomeningeal Collateral Status by Signal Variance in Perfusion Magnetic Resonance Imaging: Association With Initial
Niklas Helwig1, Fatih Seker2, Markus A Möhlenbruch2
1Department of Neurology Goethe University Hospital Frankfurt Germany.
Background:
Collaterals are the main determinants of the severity of cerebral ischemia and control the pace of the ischemic tissue damage in acute ischemic stroke. Assessment of collateral status remains a major challenge in stroke imaging. We evaluated a signal variance-based collateral vessel index in perfusion-weighted imaging (CVIPWI) in terms of its association with initial stroke severity, presence of a mismatch for endovascular thrombectomy (EVT), and early functional outcome in patients with large-vessel occlusion.
Methods:
T2*-weighted time series from dynamic susceptibility contrast perfusion imaging were processed to calculate the CVIPWI. Ischemic cores were segmented automatically on apparent diffusion coefficient maps. The relationship between collateral status and the fulfilment of mismatch criteria for EVT as well as the association between the CVIPWI and functional outcome in patients undergoing EVT were analyzed. Furthermore, spatial patterns of pial collateralization were investigated.
Results:
A total of 156 patients with large-vessel occlusion were included in the final analysis. Higher CVIPWI and thus better collateral supply was associated with lower baseline National Institutes of Health Stroke Scale and smaller baseline infarct volumes (P=0.022 and P=0.002, respectively), and the CVIPWI varied significantly among groups according to fulfillment of mismatch criteria for EVT (P<0.001). In patients undergoing EVT (n=105), the CVIPWI was an independent predictor of favorable functional outcome (modified Rankin scale score of 0-2) at discharge in multivariate analysis (P=0.031). In patients with EVT who had successful reperfusion (n=79), good collateral status was associated with a higher rate of early neurological improvement (P=0.026) and better functional outcome at discharge (P=0.04) in shift analysis.
Conclusion:
Signal variance-based CVIPWI represents a semiquantitative and objective, thus observer-independent parameter for direct assessment of collateral status with clinical relevance. Its use may inform clinical decision-making and may be of interest for clinical stroke trials.
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