Quantitative collateral grading on CT angiography in patients with acute ischemic stroke

MR CLEAN Investigators

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    5 Citations (Scopus)

    Abstract

    Reliable assessment of collateral blood supply is important in acute ischemic stroke. We propose a quantitative method for evaluation of collateral status on CT angiography (CTA). We collected CTA images of 70 patients from MR CLEAN with an occlusion in the M1 branch. Our proposed quantitative collateral score (qCS) consisted of atlas-based territory-at-risk identification and vessel segmentation using a Hessian-based filter. Ground truth was obtained by manual collateral scoring (mCS). Accuracy was evaluated by analysis of Spearman ρ and one-way ANOVA. Correlation of mCS and qCS with tissue death and functional outcome was assessed. Receiver operating characteristics curves of mCS and qCS were analyzed to distinguish favorable from unfavorable outcome. qCS strongly correlated with mCS and showed reliable correlations with tissue death and functional outcome. qCS showed higher discriminative power between favorable and unfavorable compared to mCS, indicating potential clinical value.

    Original languageEnglish
    Title of host publicationMolecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment
    Subtitle of host publication5th International Workshop, CMMI 2017 2nd International Workshop, RAMBO 2017 and 1st International Workshop, SWITCH 2017 Held in Conjunction with MICCAI 2017, Proceedings
    EditorsM. Jorge Cardoso, Tal Arbel, Fei Gao
    Place of PublicationCham
    PublisherSpringer
    Pages176-184
    Number of pages9
    ISBN (Electronic)978-3-319-67564-0
    ISBN (Print)978-3-319-67563-3
    DOIs
    Publication statusPublished - 1 Jan 2017
    Event1st International Stroke Workshop on Imaging and Treatment Challenges, SWITCH 2017 - Quebec City, Canada
    Duration: 14 Sep 201714 Sep 2017
    Conference number: 1

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Volume10555
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349
    NameImage Processing, Computer Vision, Pattern Recognition, and Graphics
    PublisherSpringer

    Workshop

    Workshop1st International Stroke Workshop on Imaging and Treatment Challenges, SWITCH 2017
    Abbreviated titleSWITCH
    CountryCanada
    CityQuebec City
    Period14/09/1714/09/17

    Keywords

    • Acute ischemic stroke
    • Automatic assessment
    • Collateral status
    • CT angiography
    • Endovascular therapy

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