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Research ArticleNeurointervention
Open Access

Quantifying Intracranial Aneurysm Wall Permeability for Risk Assessment Using Dynamic Contrast-Enhanced MRI: A Pilot Study

P. Vakil, S. Ansari, C.G. Cantrell, C.S. Eddleman, F.H. Dehkordi, J. Vranic, M.C. Hurley, H.H. Batjer, B. Bendok and T.J. Carroll
American Journal of Neuroradiology February 2015, DOI: https://doi.org/10.3174/ajnr.A4225
P. Vakil
From the Departments of Radiology (P.V., S.A., J.V., M.C.H., T.J.C.), Neurosurgery (B.B.), and Biomedical Engineering (P.V., C.G.C., T.J.C.), Northwestern University, Chicago, Illinois; Department of Neurological Surgery (C.S.E., H.H.B.), University of Texas-Southwestern, Dallas, Texas; and Department of Economics and Decision Sciences (F.H.D.), Western Illinois University, Macomb, Illinois.
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S. Ansari
From the Departments of Radiology (P.V., S.A., J.V., M.C.H., T.J.C.), Neurosurgery (B.B.), and Biomedical Engineering (P.V., C.G.C., T.J.C.), Northwestern University, Chicago, Illinois; Department of Neurological Surgery (C.S.E., H.H.B.), University of Texas-Southwestern, Dallas, Texas; and Department of Economics and Decision Sciences (F.H.D.), Western Illinois University, Macomb, Illinois.
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C.G. Cantrell
From the Departments of Radiology (P.V., S.A., J.V., M.C.H., T.J.C.), Neurosurgery (B.B.), and Biomedical Engineering (P.V., C.G.C., T.J.C.), Northwestern University, Chicago, Illinois; Department of Neurological Surgery (C.S.E., H.H.B.), University of Texas-Southwestern, Dallas, Texas; and Department of Economics and Decision Sciences (F.H.D.), Western Illinois University, Macomb, Illinois.
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C.S. Eddleman
From the Departments of Radiology (P.V., S.A., J.V., M.C.H., T.J.C.), Neurosurgery (B.B.), and Biomedical Engineering (P.V., C.G.C., T.J.C.), Northwestern University, Chicago, Illinois; Department of Neurological Surgery (C.S.E., H.H.B.), University of Texas-Southwestern, Dallas, Texas; and Department of Economics and Decision Sciences (F.H.D.), Western Illinois University, Macomb, Illinois.
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F.H. Dehkordi
From the Departments of Radiology (P.V., S.A., J.V., M.C.H., T.J.C.), Neurosurgery (B.B.), and Biomedical Engineering (P.V., C.G.C., T.J.C.), Northwestern University, Chicago, Illinois; Department of Neurological Surgery (C.S.E., H.H.B.), University of Texas-Southwestern, Dallas, Texas; and Department of Economics and Decision Sciences (F.H.D.), Western Illinois University, Macomb, Illinois.
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J. Vranic
From the Departments of Radiology (P.V., S.A., J.V., M.C.H., T.J.C.), Neurosurgery (B.B.), and Biomedical Engineering (P.V., C.G.C., T.J.C.), Northwestern University, Chicago, Illinois; Department of Neurological Surgery (C.S.E., H.H.B.), University of Texas-Southwestern, Dallas, Texas; and Department of Economics and Decision Sciences (F.H.D.), Western Illinois University, Macomb, Illinois.
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M.C. Hurley
From the Departments of Radiology (P.V., S.A., J.V., M.C.H., T.J.C.), Neurosurgery (B.B.), and Biomedical Engineering (P.V., C.G.C., T.J.C.), Northwestern University, Chicago, Illinois; Department of Neurological Surgery (C.S.E., H.H.B.), University of Texas-Southwestern, Dallas, Texas; and Department of Economics and Decision Sciences (F.H.D.), Western Illinois University, Macomb, Illinois.
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H.H. Batjer
From the Departments of Radiology (P.V., S.A., J.V., M.C.H., T.J.C.), Neurosurgery (B.B.), and Biomedical Engineering (P.V., C.G.C., T.J.C.), Northwestern University, Chicago, Illinois; Department of Neurological Surgery (C.S.E., H.H.B.), University of Texas-Southwestern, Dallas, Texas; and Department of Economics and Decision Sciences (F.H.D.), Western Illinois University, Macomb, Illinois.
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B. Bendok
From the Departments of Radiology (P.V., S.A., J.V., M.C.H., T.J.C.), Neurosurgery (B.B.), and Biomedical Engineering (P.V., C.G.C., T.J.C.), Northwestern University, Chicago, Illinois; Department of Neurological Surgery (C.S.E., H.H.B.), University of Texas-Southwestern, Dallas, Texas; and Department of Economics and Decision Sciences (F.H.D.), Western Illinois University, Macomb, Illinois.
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T.J. Carroll
From the Departments of Radiology (P.V., S.A., J.V., M.C.H., T.J.C.), Neurosurgery (B.B.), and Biomedical Engineering (P.V., C.G.C., T.J.C.), Northwestern University, Chicago, Illinois; Department of Neurological Surgery (C.S.E., H.H.B.), University of Texas-Southwestern, Dallas, Texas; and Department of Economics and Decision Sciences (F.H.D.), Western Illinois University, Macomb, Illinois.
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Abstract

BACKGROUND AND PURPOSE: Pathological changes in the intracranial aneurysm wall may lead to increases in its permeability; however the clinical significance of such changes has not been explored. The purpose of this pilot study was to quantify intracranial aneurysm wall permeability (Ktrans, VL) to contrast agent as a measure of aneurysm rupture risk and compare these parameters against other established measures of rupture risk. We hypothesized Ktrans would be associated with intracranial aneurysm rupture risk as defined by various anatomic, imaging, and clinical risk factors.

MATERIALS AND METHODS: Twenty-seven unruptured intracranial aneurysms in 23 patients were imaged with dynamic contrast-enhanced MR imaging, and wall permeability parameters (Ktrans, VL) were measured in regions adjacent to the aneurysm wall and along the paired control MCA by 2 blinded observers. Ktrans and VL were evaluated as markers of rupture risk by comparing them against established clinical (symptomatic lesions) and anatomic (size, location, morphology, multiplicity) risk metrics.

RESULTS: Interobserver agreement was strong as shown in regression analysis (R2 > 0.84) and intraclass correlation (intraclass correlation coefficient >0.92), indicating that the Ktrans can be reliably assessed clinically. All intracranial aneurysms had a pronounced increase in wall permeability compared with the paired healthy MCA (P < .001). Regression analysis demonstrated a significant trend toward an increased Ktrans with increasing aneurysm size (P < .001). Logistic regression showed that Ktrans also predicted risk in anatomic (P = .02) and combined anatomic/clinical (P = .03) groups independent of size.

CONCLUSIONS: We report the first evidence of dynamic contrast-enhanced MR imaging–modeled contrast permeability in intracranial aneurysms. We found that contrast agent permeability across the aneurysm wall correlated significantly with both aneurysm size and size-independent anatomic risk factors. In addition, Ktrans was a significant and size-independent predictor of morphologically and clinically defined high-risk aneurysms.

Abbreviations

DCE
dynamic contrast-enhanced
IA
intracranial aneurysm
ISUIA
International Study of Unruptured Intracranial Aneurysms
Ktrans
contrast-transfer coefficient
VL
fractional volume of extravascular extracellular space per unit tissue
  • © 2015 American Society of Neuroradiology

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Cite this article
P. Vakil, S. Ansari, C.G. Cantrell, C.S. Eddleman, F.H. Dehkordi, J. Vranic, M.C. Hurley, H.H. Batjer, B. Bendok, T.J. Carroll
Quantifying Intracranial Aneurysm Wall Permeability for Risk Assessment Using Dynamic Contrast-Enhanced MRI: A Pilot Study
American Journal of Neuroradiology Feb 2015, DOI: 10.3174/ajnr.A4225

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Quantifying Intracranial Aneurysm Wall Permeability for Risk Assessment Using Dynamic Contrast-Enhanced MRI: A Pilot Study
P. Vakil, S. Ansari, C.G. Cantrell, C.S. Eddleman, F.H. Dehkordi, J. Vranic, M.C. Hurley, H.H. Batjer, B. Bendok, T.J. Carroll
American Journal of Neuroradiology Feb 2015, DOI: 10.3174/ajnr.A4225
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