Stratifying Ischaemic Stroke Patients Across 3 Treatment Windows Using T2 Relaxation Times, Ordinal Regression and Cumulative Probabilities

Bryony McGarry, Elizabeth Hunter, Robin Damian, Michael Knight, Philip Clatworthy, George Harston, Keith Muir, Risto Kauppinen, John Kelleher

    Research output: Contribution to conferencePaperpeer-review

    Abstract

    Unknown onset time is a common contraindication for anti-thrombolytic treatment of ischaemic stroke. T2 relaxation-based signal changes within the lesion can identify patients within or beyond the 4.5-hour intravenous thrombolysis treatment-window. However, now that intra-arterial thrombolysis is recommended between 4.5 and 6 hours from symptom onset and mechanical thrombectomy is considered safe between 6 and 24 hours, there are three treatment-windows to consider. Here we show a cumulative ordinal regression model, incorporating the T2 relaxation time, predicts the probabilities of a patient being within one of the three treatment-windows and is more accurate than signal intensity changes from T2 weighted images.
    Original languageEnglish
    DOIs
    Publication statusPublished - 2021
    EventInternational Society of Magnetic Resonance in Medicine (ISMRM) Annual Conference -
    Duration: 1 Jan 2021 → …

    Conference

    ConferenceInternational Society of Magnetic Resonance in Medicine (ISMRM) Annual Conference
    Period1/01/21 → …

    Keywords

    • Unknown onset time
    • anti-thrombolytic treatment
    • ischaemic stroke
    • T2 relaxation-based signal changes
    • intravenous thrombolysis
    • intra-arterial thrombolysis
    • mechanical thrombectomy
    • treatment-windows
    • cumulative ordinal regression model
    • T2 relaxation time
    • signal intensity changes
    • T2 weighted images

    Fingerprint

    Dive into the research topics of 'Stratifying Ischaemic Stroke Patients Across 3 Treatment Windows Using T2 Relaxation Times, Ordinal Regression and Cumulative Probabilities'. Together they form a unique fingerprint.

    Cite this