Perfusion imaging-based tissue-level collaterals predict ischemic lesion net water uptake in patients with acute ischemic stroke and large vessel occlusion.


Journal

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism
ISSN: 1559-7016
Titre abrégé: J Cereb Blood Flow Metab
Pays: United States
ID NLM: 8112566

Informations de publication

Date de publication:
08 2021
Historique:
pubmed: 10 2 2021
medline: 25 8 2021
entrez: 9 2 2021
Statut: ppublish

Résumé

Ischemic lesion Net Water Uptake (NWU) quantifies cerebral edema formation and likely correlates with the microvascular perfusion status of patients with acute ischemic stroke due to large vessel occlusion (AIS-LVO). We hypothesized that favorable tissue-level collaterals (TLC) predict less NWU and good functional outcomes. We performed a retrospective multicenter analysis of AIS-LVO patients who underwent thrombectomy triage. TLC were measured on cerebral perfusion studies using the hypoperfusion intensity ratio (HIR; volume ratio of brain tissue with [Tmax > 10 sec/Tmax > 6 sec]); favorable TLC were regarded as HIR

Identifiants

pubmed: 33557694
doi: 10.1177/0271678X21992200
pmc: PMC8327120
doi:

Substances chimiques

Tissue Plasminogen Activator EC 3.4.21.68

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2067-2075

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Auteurs

Tobias D Faizy (TD)

Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.

Reza Kabiri (R)

Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.

Soren Christensen (S)

Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.

Michael Mlynash (M)

Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.

Gabriella Kuraitis (G)

Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.

Gabriel Broocks (G)

Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Uta Hanning (U)

Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Jawed Nawabi (J)

Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Department of Radiology (CCM), Charité, Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin, Germany.

Maarten G Lansberg (MG)

Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.

Michael P Marks (MP)

Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.

Gregory W Albers (GW)

Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.

Jens Fiehler (J)

Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Max Wintermark (M)

Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.

Jeremy J Heit (JJ)

Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.

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Classifications MeSH