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Accuracy and prognostic role of NCCT-ASPECTS depend on time from acute stroke symptom-onset for both human and machine-learning based evaluation

We hypothesize that the detectability of early ischemic changes on non-contrast computed tomography (NCCT) is limited in hyperacute stroke for both human and machine-learning based evaluation. In short onset-time-to-imaging (OTI), the CT angiography collateral status may identify fast stroke progres...

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Autori principali: Potreck, Arne (Autore) , Weyland, Charlotte S. (Autore) , Seker, Fatih (Autore) , Neuberger, Ulf (Autore) , Herweh, Christian (Autore) , Hoffmann, Angelika (Autore) , Nagel, Simon (Autore) , Bendszus, Martin (Autore) , Mutke, Matthias Anthony (Autore)
Natura: Article (Journal)
Lingua:inglese
Pubblicazione: 2022
In: Clinical neuroradiology
Year: 2022, Volume: 32, Fascicolo: 1, Pages: 133-140
ISSN:1869-1447
DOI:10.1007/s00062-021-01110-5
Accesso online:Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00062-021-01110-5
Testo
Note sull'autore:A. Potreck, C.S. Weyland, F. Seker, U. Neuberger, C. Herweh, A. Hoffmann, S. Nagel, M. Bendszus, M.A. Mutke
Descrizione
Riassunto:We hypothesize that the detectability of early ischemic changes on non-contrast computed tomography (NCCT) is limited in hyperacute stroke for both human and machine-learning based evaluation. In short onset-time-to-imaging (OTI), the CT angiography collateral status may identify fast stroke progressors better than early ischemic changes quantified by ASPECTS.
Descrizione del documento:Gesehen am 12.09.2023
Online veröffentlicht: 28. Oktober 2021
Descrizione fisica:Online Resource
ISSN:1869-1447
DOI:10.1007/s00062-021-01110-5

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