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Multiphase CTA-derived tissue maps aid in detection of medium vessel occlusions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F22%3A00074967" target="_blank" >RIV/00159816:_____/22:00074967 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14110/22:00125371

  • Result on the web

    <a href="https://link.springer.com/article/10.1007%2Fs00234-021-02830-8" target="_blank" >https://link.springer.com/article/10.1007%2Fs00234-021-02830-8</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00234-021-02830-8" target="_blank" >10.1007/s00234-021-02830-8</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multiphase CTA-derived tissue maps aid in detection of medium vessel occlusions

  • Original language description

    Purpose Medium vessel occlusions (MeVOs) can be challenging to detect on imaging. Multiphase computed tomography angiography (mCTA) has been shown to improve large vessel occlusion (LVO) detection and endovascular treatment (EVT) selection. The aims of this study were to determine if mCTA-derived tissue maps can (1) accurately detect MeVOs and (2) predict infarction on 24-h follow-up imaging with comparable accuracy to CT perfusion (CTP). Methods Two readers assessed mCTA tissue maps of 116 ischemic stroke patients (58 MeVOs, 58 non-MeVOs) and determined by consensus: (1) MeVO (yes/no) and (2) occlusion site, blinded to clinical or imaging data. Sensitivity, specificity, and area under the curve (AUC) for MeVO detection were estimated in comparison to reference standards of (1) expert readings of baseline mCTA and (2) CTP maps. Volumetric and spatial agreement between mCTA- and CTP-predicted infarcts was assessed using concordance/intraclass correlation and Dice coefficients. Interrater agreement for MeVO detection on mCTA tissue maps was estimated with Cohen&apos;s kappa. Results MeVO detection from mCTA-derived tissue maps had a sensitivity of 91% (95% CI: 80-97), specificity of 82% (95% CI: 70-90), and AUC of 0.87 (95% CI: 0.80-0.93) compared to expert reads of baseline mCTA. Interrater reliability was good (0.72, 95% CI: 0.60-0.85). Compared to CTP maps, sensitivity was 87% (95% CI: 75-95), specificity was 78% (95%CI: 65-88), and AUC was 0.83 (95% CI: 0.76-0.90). The mean difference between mCTA- and CTP-predicted final infarct volume was 4.8 mL (limits of agreement: - 58.5 to 68.1) with a Dice coefficient of 33.5%. Conclusion mCTA tissue maps can be used to reliably detect MeVO stroke and predict tissue fate.

  • 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

    30100 - Basic medicine

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Neuroradiology

  • ISSN

    0028-3940

  • e-ISSN

    1432-1920

  • Volume of the periodical

    64

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    10

  • Pages from-to

    887-896

  • UT code for WoS article

    000708810800003

  • EID of the result in the Scopus database