What Threshold Defines Penumbral Brain Tissue in Patients with Symptomatic Anterior Circulation Intracranial Stenosis: An Exploratory Analysis.


Journal

Journal of neuroimaging : official journal of the American Society of Neuroimaging
ISSN: 1552-6569
Titre abrégé: J Neuroimaging
Pays: United States
ID NLM: 9102705

Informations de publication

Date de publication:
Mar 2019
Historique:
received: 08 09 2018
revised: 07 10 2018
accepted: 24 10 2018
pubmed: 7 11 2018
medline: 7 3 2020
entrez: 7 11 2018
Statut: ppublish

Résumé

Impaired distal perfusion predicts neurological deterioration in large artery atherosclerosis. We aim to determine the optimal threshold of Tmax delay on perfusion imaging that is associated with neurological deterioration in patients with symptomatic proximal anterior circulation large artery stenosis. Data were abstracted from a prospective ischemic stroke database of consecutively enrolled patients with symptomatic proximal intracranial stenosis (internal carotid artery or M1 segment of the middle cerebral artery) who underwent magnetic resonance perfusion imaging within 24 hours of symptom onset during a 15-month period. Tissue volumes of perfusion delay Tmax 0-4 seconds, Tmax > 4 seconds, Tmax > 6 seconds, and Tmax > 8 seconds were calculated using an automated approach. A target mismatch (penumbra-core) was defined as ≥15mL of brain tissue using each of the Tmax threshold categories. The outcome was neurological deterioration at 30 days defined as new or worsening neurological deficits that are not attributed to a nonvascular etiology. Among 52 patients with symptomatic intracranial stenosis, 26 patients met inclusion criteria. Neurological deterioration was associated with target mismatch profile defined according to Tmax > 6 seconds (66.7% [6/9] vs. 5.9% [1/17], P < .01) and Tmax >8 seconds (57.1% [4/7] vs. 15.8% [3/19], P = .05] but not according to Tmax > 4 seconds (27.3% [6/17] vs. 11.1% [1/9], P = .35]. A target mismatch profile using Tmax > 6 seconds may define tissue at risk in patients with acute symptomatic proximal anterior circulation intracranial stenosis. More studies are needed to confirm our findings.

Sections du résumé

BACKGROUND AND PURPOSE OBJECTIVE
Impaired distal perfusion predicts neurological deterioration in large artery atherosclerosis. We aim to determine the optimal threshold of Tmax delay on perfusion imaging that is associated with neurological deterioration in patients with symptomatic proximal anterior circulation large artery stenosis.
METHODS METHODS
Data were abstracted from a prospective ischemic stroke database of consecutively enrolled patients with symptomatic proximal intracranial stenosis (internal carotid artery or M1 segment of the middle cerebral artery) who underwent magnetic resonance perfusion imaging within 24 hours of symptom onset during a 15-month period. Tissue volumes of perfusion delay Tmax 0-4 seconds, Tmax > 4 seconds, Tmax > 6 seconds, and Tmax > 8 seconds were calculated using an automated approach. A target mismatch (penumbra-core) was defined as ≥15mL of brain tissue using each of the Tmax threshold categories. The outcome was neurological deterioration at 30 days defined as new or worsening neurological deficits that are not attributed to a nonvascular etiology.
RESULTS RESULTS
Among 52 patients with symptomatic intracranial stenosis, 26 patients met inclusion criteria. Neurological deterioration was associated with target mismatch profile defined according to Tmax > 6 seconds (66.7% [6/9] vs. 5.9% [1/17], P < .01) and Tmax >8 seconds (57.1% [4/7] vs. 15.8% [3/19], P = .05] but not according to Tmax > 4 seconds (27.3% [6/17] vs. 11.1% [1/9], P = .35].
CONCLUSIONS CONCLUSIONS
A target mismatch profile using Tmax > 6 seconds may define tissue at risk in patients with acute symptomatic proximal anterior circulation intracranial stenosis. More studies are needed to confirm our findings.

Identifiants

pubmed: 30398302
doi: 10.1111/jon.12577
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

203-205

Informations de copyright

© 2018 by the American Society of Neuroimaging.

Auteurs

Shadi Yaghi (S)

Department of Neurology, Warren Alpert Medical School of Brown University, Providence, RI.

Pooja Khatri (P)

Department of Neurology, University of Cincinnati, Cincinnati, OH.

Shyam Prabhakaran (S)

Department of Neurology, Northwestern University, Chicago, IL.

Sharon D Yeatts (SD)

Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC.

Shawna Cutting (S)

Department of Neurology, Warren Alpert Medical School of Brown University, Providence, RI.

Mahesh Jayaraman (M)

Department of Neurology, Warren Alpert Medical School of Brown University, Providence, RI.
Department of Diagnostic Imaging, Warren Alpert Medical School of Brown University, Providence, RI.
Department of Neurosurgery, Warren Alpert Medical School of Brown University, Providence, RI.

Andrew D Chang (AD)

Department of Neurology, Warren Alpert Medical School of Brown University, Providence, RI.

Daniel Sacchetti (D)

Department of Neurology, Warren Alpert Medical School of Brown University, Providence, RI.

David S Liebeskind (DS)

Department of Neurology, University of California at Los Angeles, Los Angeles, CA.

Karen L Furie (KL)

Department of Neurology, Warren Alpert Medical School of Brown University, Providence, RI.

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