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Research ArticleAdult Brain

Focal Hypoperfusion in Acute Ischemic Stroke Perfusion CT: Clinical and Radiologic Predictors and Accuracy for Infarct Prediction

O. Bill, N.M. Inácio, D. Lambrou, M. Wintermark, G. Ntaios, V. Dunet and P. Michel
American Journal of Neuroradiology March 2019, 40 (3) 483-489; DOI: https://doi.org/10.3174/ajnr.A5984
O. Bill
aFrom the Neurology Service (O.B., D.L., P.M.), Department of Clinical Neurosciences
dStroke Unit (O.B.), Groupement Hospitalier de l'Ouest Lausannois, Nyon, Switzerland
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N.M. Inácio
cNeurology Department (N.M.I.), Hospital Beatriz Ângelo, Loures, Portugal
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D. Lambrou
aFrom the Neurology Service (O.B., D.L., P.M.), Department of Clinical Neurosciences
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M. Wintermark
eDepartment of Radiology (M.W.), Neuroradiology Division, Stanford University and Medical Center, Stanford, California
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G. Ntaios
fDepartment of Medicine (G.N.), University of Thessaly, Larissa, Greece.
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V. Dunet
bDepartment of Diagnostic and Interventional Radiology (V.D.), Lausanne University Hospital, Lausanne, Switzerland
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P. Michel
aFrom the Neurology Service (O.B., D.L., P.M.), Department of Clinical Neurosciences
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Abstract

BACKGROUND AND PURPOSE: Perfusion CT may improve the diagnostic performance of noncontrast CT in acute ischemic stroke. We assessed predictors of focal hypoperfusion in acute ischemic stroke and perfusion CT performance in predicting infarction on follow-up imaging.

MATERIALS AND METHODS: Patients from the Acute STroke Registry and Analysis of Lausanne data base with acute ischemic stroke and perfusion CT were included. Clinical and radiologic data were collected. We identified predictors of focal hypoperfusion using multivariate analyses.

RESULTS: From the 2216 patients with perfusion CT, 38.2% had an acute ischemic lesion on NCCT and 73.3% had focal hypoperfusion on perfusion CT. After we analyzed 104 covariates, high-admission NIHSS, visual field defect, aphasia, hemineglect, sensory deficits, and impaired consciousness were positively associated with focal hypoperfusion. Negative associations were pure posterior circulation, lacunar strokes, and anticoagulation. After integrating radiologic variables into the multivariate analyses, we found that visual field defect, sensory deficits, hemineglect, early ischemic changes on NCCT, anterior circulation, cardioembolic etiology, and arterial occlusion were positively associated with focal hypoperfusion, whereas increasing onset-to-CT delay, chronic vascular lesions, and lacunar etiology showed negative association. Sensitivity, specificity, and positive and negative predictive values of focal hypoperfusion on perfusion CT for infarct detection on follow-up MR imaging were 66.5%, 79.4%, 96.2%, and 22.8%, respectively, with an overall accuracy of 76.8%.

CONCLUSIONS: Compared with NCCT, perfusion CT doubles the sensitivity in detecting acute ischemic stroke. Focal hypoperfusion is independently predicted by stroke severity, cortical clinical deficits, nonlacunar supratentorial strokes, and shorter onset-to-imaging delays. A high proportion of patients with focal hypoperfusion developed infarction on subsequent imaging, as did some patients without focal hypoperfusion, indicating the complementarity of perfusion CT and MR imaging in acute ischemic stroke.

ABBREVIATIONS:

AIS
acute ischemic stroke
ASTRAL
Acute STroke Registry and Analysis of Lausanne
FHP
focal hypoperfusion
MVA
multivariate analysis
PCT
perfusion CT
  • © 2019 by American Journal of Neuroradiology
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American Journal of Neuroradiology: 40 (3)
American Journal of Neuroradiology
Vol. 40, Issue 3
1 Mar 2019
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Cite this article
O. Bill, N.M. Inácio, D. Lambrou, M. Wintermark, G. Ntaios, V. Dunet, P. Michel
Focal Hypoperfusion in Acute Ischemic Stroke Perfusion CT: Clinical and Radiologic Predictors and Accuracy for Infarct Prediction
American Journal of Neuroradiology Mar 2019, 40 (3) 483-489; DOI: 10.3174/ajnr.A5984

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Focal Hypoperfusion in Acute Ischemic Stroke Perfusion CT: Clinical and Radiologic Predictors and Accuracy for Infarct Prediction
O. Bill, N.M. Inácio, D. Lambrou, M. Wintermark, G. Ntaios, V. Dunet, P. Michel
American Journal of Neuroradiology Mar 2019, 40 (3) 483-489; DOI: 10.3174/ajnr.A5984
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