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Research ArticleNEUROVASCULAR/STROKE IMAGING

Quantification of Collateral Supply with Local-AIF Dynamic Susceptibility Contrast MRI Predicts Infarct Growth

Mira M. Liu, Niloufar Saadat, Steven P. Roth, Marek A. Niekrasz, Mihai Giurcanu, Timothy J. Carroll and Gregory A. Christoforidis
American Journal of Neuroradiology January 2025, DOI: https://doi.org/10.3174/ajnr.A8441
Mira M. Liu
aFrom the Department of Radiology Medical Physics (M.M.L., T.J.C.), University of Chicago, Chicago, Illinois
bBiomedical Engineering and Imaging Institute (M.M.L.), Icahn School of Medicine at Mount Sinai, New York, New York
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Niloufar Saadat
cDepartment of Interventional Radiology (N.S., G.A.C.), University of Chicago, Chicago, Illinois
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Steven P. Roth
dDepartment of Anesthesiology (S.P.R.), University of Illinois, Chicago, Illinois
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Marek A. Niekrasz
eDepartment of Surgery and Large Animal Studies (M.A.N.), University of Chicago, Chicago, Illinois
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Mihai Giurcanu
fDepartment of Statistics (M.G.), University of Chicago, Chicago, Illinois
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Timothy J. Carroll
aFrom the Department of Radiology Medical Physics (M.M.L., T.J.C.), University of Chicago, Chicago, Illinois
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Gregory A. Christoforidis
cDepartment of Interventional Radiology (N.S., G.A.C.), University of Chicago, Chicago, Illinois
gMount Carmel Health Systems (G.A.C.), Columbus, Ohio
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Abstract

BACKGROUND AND PURPOSE: In ischemic stroke, leptomeningeal collaterals can provide delayed and dispersed compensatory blood flow to tissue-at-risk despite an occlusion and can impact treatment response and infarct growth. The purpose of this work is to test the hypothesis that the inclusion of this delayed and dispersed flow with an appropriately calculated local arterial input function (local-AIF) is needed to quantify the degree of collateral blood supply in tissue distal to an occlusion.

MATERIALS AND METHODS: Seven experiments were conducted in a preclinical middle cerebral artery occlusion model. Dynamic susceptibility contrast MRI was imaged and postprocessed to yield quantitative cerebral blood flow (qCBF) maps with both a traditionally chosen single arterial input function applied globally to the whole brain (ie, “global-AIF”) and a delay and dispersion corrected AIF (ie, “local-AIF”) that is sensitive to retrograde flow. Leptomeningeal collateral arterial recruitment was quantified with a pial collateral score from x-ray angiograms, and infarct growth was calculated from serially acquired diffusion-weighted MRI scans.

RESULTS: The degree of collateralization at x-ray correlated more strongly with local-AIF qCBF in the ischemic penumbra (R2 = 0.81) than with traditional global-AIF qCBF (R2 = 0.05). Local-AIF qCBF was negatively correlated with infarct growth (slower infarct progression with higher perfusion, R2 = 0.79) more strongly than global-AIF qCBF (R2 = 0.02).

CONCLUSIONS: In acute stroke, qCBF calculated with a local-AIF is more accurate for assessing tissue status and collateral supply than traditionally chosen global-AIFs. These findings support the use of a local-AIF that corrects for delayed and dispersed retrograde flow in determining quantitative tissue perfusion with collateral supply in occlusive disease.

ABBREVIATIONS:

AIF
arterial input function
Gd
gadolinium
IVIM
intravoxel incoherent motion
MCAO
middle cerebral artery occlusion
MD
mean diffusivity
PCS
pial collateral score
qCBF
quantitative cerebral blood flow
rCBF
relative cerebral blood flow
Tmax
time-to-maximum

Footnotes

  • This work was supported by the US National Institutes of Health R01-NS093908 (Carroll/Christoforidis) and The National Science Foundation DGE-1746045 (Liu).

  • Disclosure forms provided by the authors are available with the full text and PDF of this article at www.ajnr.org.

  • © 2025 by American Journal of Neuroradiology
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Cite this article
Mira M. Liu, Niloufar Saadat, Steven P. Roth, Marek A. Niekrasz, Mihai Giurcanu, Timothy J. Carroll, Gregory A. Christoforidis
Quantification of Collateral Supply with Local-AIF Dynamic Susceptibility Contrast MRI Predicts Infarct Growth
American Journal of Neuroradiology Jan 2025, DOI: 10.3174/ajnr.A8441

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Quantification of Collateral Supply with Local-AIF Dynamic Susceptibility Contrast MRI Predicts Infarct Growth
Mira M. Liu, Niloufar Saadat, Steven P. Roth, Marek A. Niekrasz, Mihai Giurcanu, Timothy J. Carroll, Gregory A. Christoforidis
American Journal of Neuroradiology Jan 2025, DOI: 10.3174/ajnr.A8441
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