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


Journal

AJNR. American journal of neuroradiology
ISSN: 1936-959X
Titre abrégé: AJNR Am J Neuroradiol
Pays: United States
ID NLM: 8003708

Informations de publication

Date de publication:
03 2019
Historique:
received: 21 09 2018
accepted: 30 12 2018
pubmed: 23 2 2019
medline: 3 3 2020
entrez: 23 2 2019
Statut: ppublish

Résumé

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. 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. 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%. 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.

Sections du résumé

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.

Identifiants

pubmed: 30792249
pii: ajnr.A5984
doi: 10.3174/ajnr.A5984
pmc: PMC7028679
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

483-489

Informations de copyright

© 2019 by American Journal of Neuroradiology.

Références

Stroke. 2010 Jul;41(7):1431-9
pubmed: 20522809
Stroke. 2001 Sep;32(9):2021-8
pubmed: 11546891
J Neuroimaging. 2015 May-Jun;25(3):384-9
pubmed: 24942473
AJNR Am J Neuroradiol. 2004 May;25(5):720-9
pubmed: 15140710
Radiology. 1998 Oct;209(1):85-93
pubmed: 9769817
Ann Neurol. 2011 Sep;70(3):384-401
pubmed: 21796665
Ann Neurol. 2002 Apr;51(4):417-32
pubmed: 11921048
Lancet. 2000 May 13;355(9216):1670-4
pubmed: 10905241
AJNR Am J Neuroradiol. 2005 Jan;26(1):104-12
pubmed: 15661711
Radiology. 2002 Jan;222(1):227-36
pubmed: 11756730
Stroke. 2008 Oct;39(10):2749-55
pubmed: 18703813
Int J Stroke. 2008 Feb;3(1):41-50
pubmed: 18705914
Neuroradiology. 2014 Dec;56(12):1055-62
pubmed: 25252738
Stroke. 1995 Mar;26(3):430-3
pubmed: 7886720
Stroke. 2013 Apr;44(4):1080-4
pubmed: 23444310
AJNR Am J Neuroradiol. 2005 Nov-Dec;26(10):2536-41
pubmed: 16286398
Eur J Neurol. 2017 Jan;24(1):167-174
pubmed: 27801538
Lancet. 2016 Apr 23;387(10029):1723-31
pubmed: 26898852
J Clin Neurosci. 2016 Jul;29:70-2
pubmed: 26899357
Stroke. 2003 Nov;34(11):2729-35
pubmed: 14576370
N Engl J Med. 2003 Sep 11;349(11):1019-26
pubmed: 12968085
Stroke. 1998 Jun;29(6):1144-8
pubmed: 9626286
Neuroradiology. 2015 Jun;57(6):573-81
pubmed: 25749851
Stroke. 2001 May;32(5):1079-84
pubmed: 11340213
Stroke. 2010 Nov;41(11):2491-8
pubmed: 20930152
N Engl J Med. 2015 Mar 12;372(11):1019-30
pubmed: 25671798
Stroke. 2013 Apr;44(4):1014-9
pubmed: 23463751
Neuroradiology. 2013 Jul;55(7):827-35
pubmed: 23568701
Stroke. 2006 Apr;37(4):979-85
pubmed: 16514093
Neurology. 2015 Aug 11;85(6):505-11
pubmed: 26180146
Radiographics. 2008 Oct;28(6):1673-87
pubmed: 18936029
Lancet. 2007 Jan 27;369(9558):293-8
pubmed: 17258669
AJNR Am J Neuroradiol. 2000 Sep;21(8):1441-9
pubmed: 11003276
N Engl J Med. 1995 Dec 14;333(24):1581-7
pubmed: 7477192
JAMA. 2017 Mar 14;317(10):1057-1067
pubmed: 28291892

Auteurs

O Bill (O)

From the Neurology Service (O.B., D.L., P.M.), Department of Clinical Neurosciences olivier.bill@chuv.ch.
Stroke Unit (O.B.), Groupement Hospitalier de l'Ouest Lausannois, Nyon, Switzerland.

N M Inácio (NM)

Neurology Department (N.M.I.), Hospital Beatriz Ângelo, Loures, Portugal.

D Lambrou (D)

From the Neurology Service (O.B., D.L., P.M.), Department of Clinical Neurosciences.

M Wintermark (M)

Department of Radiology (M.W.), Neuroradiology Division, Stanford University and Medical Center, Stanford, California.

G Ntaios (G)

Department of Medicine (G.N.), University of Thessaly, Larissa, Greece.

V Dunet (V)

Department of Diagnostic and Interventional Radiology (V.D.), Lausanne University Hospital, Lausanne, Switzerland.

P Michel (P)

From the Neurology Service (O.B., D.L., P.M.), Department of Clinical Neurosciences.

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Classifications MeSH