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'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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30100 - Basic medicine
Result continuities
Project
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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
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