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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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Bibliographic Details
Main Authors: Potreck, Arne (Author) , Weyland, Charlotte S. (Author) , Seker, Fatih (Author) , Neuberger, Ulf (Author) , Herweh, Christian (Author) , Hoffmann, Angelika (Author) , Nagel, Simon (Author) , Bendszus, Martin (Author) , Mutke, Matthias Anthony (Author)
Format: Article (Journal)
Language:English
Published: 2022
In: Clinical neuroradiology
Year: 2022, Volume: 32, Issue: 1, Pages: 133-140
ISSN:1869-1447
DOI:10.1007/s00062-021-01110-5
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00062-021-01110-5
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Author Notes:A. Potreck, C.S. Weyland, F. Seker, U. Neuberger, C. Herweh, A. Hoffmann, S. Nagel, M. Bendszus, M.A. Mutke
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Summary: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.
Item Description:Gesehen am 12.09.2023
Online veröffentlicht: 28. Oktober 2021
Physical Description:Online Resource
ISSN:1869-1447
DOI:10.1007/s00062-021-01110-5

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