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...
Gespeichert in:
| Hauptverfasser: | , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2022
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| In: |
Clinical neuroradiology
Year: 2022, Jahrgang: 32, Heft: 1, Pages: 133-140 |
| ISSN: | 1869-1447 |
| DOI: | 10.1007/s00062-021-01110-5 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00062-021-01110-5
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| Verfasserangaben: | A. Potreck, C.S. Weyland, F. Seker, U. Neuberger, C. Herweh, A. Hoffmann, S. Nagel, M. Bendszus, M.A. Mutke |
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| 520 | |a 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. | ||
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