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Utility of Time-Variant Multiphase CTA Color Maps in Outcome Prediction for Acute Ischemic Stroke Due to Anterior Circulation Large Vessel Occlusion

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F21%3A00075253" target="_blank" >RIV/00159816:_____/21:00075253 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14110/21:00120749

  • Result on the web

    <a href="https://link.springer.com/article/10.1007%2Fs00062-020-00958-3#ethics" target="_blank" >https://link.springer.com/article/10.1007%2Fs00062-020-00958-3#ethics</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00062-020-00958-3" target="_blank" >10.1007/s00062-020-00958-3</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Utility of Time-Variant Multiphase CTA Color Maps in Outcome Prediction for Acute Ischemic Stroke Due to Anterior Circulation Large Vessel Occlusion

  • Original language description

    Background Multiphase CTA (mCTA) is an established tool for endovascular treatment decision-making and outcome prediction in acute ischemic stroke, but its interpretation requires some degree of experience. We aimed to determine whether mCTA-based prediction of clinical outcome and final infarct volume can be improved by assessing collateral status on time-variant mCTA color maps rather than using a conventional mCTA display format. Methods Patients from the PRove-IT cohort study with anterior circulation large vessel occlusion were included in this study. Collateral status was assessed with a three-point scale using the conventional display format. Collateral extent and filling dynamics were then graded on a three-point scale using time-variant mCTA color-maps (FastStroke, GE Healthcare, Milwaukee, WI, USA). Multivariable logistic regression was performed to determine the association of conventional collateral score, color-coded collateral extent and color-coded collateral filling dynamics with good clinical outcome and final infarct volume (volume below vs. above median infarct volume in the study sample). Results A total of 285 patients were included in the analysis and 53% (152/285) of the patients achieved a good outcome. Median infarct volume on follow-up was 12.6ml. Color-coded collateral extent was significantly associated with good outcome (adjusted odds ratio [adjOR] 0.53, 95% confidence interval [CI]:0.36-0.77) while color-coded collateral filling dynamics (adjOR 1.30 [95%CI:0.88-1.95]) and conventional collateral scoring (adjOR 0.72 [95%C:0.48-1.08]) were not. Both color-coded collateral extent (adjOR 2.67 [95%CI:1.80-4.00]) and conventional collateral scoring (adjOR 1.84 [95%CI:1.21-2.79]) were significantly associated with follow-up infarct volume, while color-coded collateral filling dynamics were not (adjOR 1.21 [95%CI:0.83-1.78]). Conclusion In this study, collateral extent assessment on time-variant mCTA maps improved prediction of good outcome and has similar value in predicting follow-up infarct volume compared to conventional mCTA collateral grading.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30210 - Clinical neurology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Clinical Neuroradiology

  • ISSN

    1869-1439

  • e-ISSN

  • Volume of the periodical

    31

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    8

  • Pages from-to

    783-790

  • UT code for WoS article

    000572716700001

  • EID of the result in the Scopus database