1. Diagnostic accuracy of using Alberta Stroke Program Early Computed Tomography Score on CT perfusion map to predict a target mismatch in patients with acute ischemic stroke.
- Author
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Chu Y, Shen GC, Ma G, Xu XQ, Lu SS, Jiang L, Liu S, Shi HB, and Wu FY
- Subjects
- Humans, Alberta, Cerebrovascular Circulation, Perfusion, Perfusion Imaging methods, Retrospective Studies, Tomography, X-Ray Computed methods, Brain Ischemia diagnostic imaging, Ischemic Stroke, Stroke
- Abstract
Purpose: To assess the diagnostic accuracy of using Alberta Stroke Program Early Computed Tomography Score (ASPECTS) on CT perfusion (CTP) map to predict a volumetric target mismatch in patients with acute ischemic stroke (AIS)., Methods: Three-hundred and seven AIS patients with an onset time within 24h or unclear onset time who underwent CTP evaluation for large vessel occlusion of anterior circulation were enrolled. CTP ASPECTS was evaluated on cerebral blood flow (CBF) and time-to-maximum (Tmax) colored maps, respectively. Automated perfusion analysis software was used to calculate the volumes of ischemic core (volume
CBF<30% ) and tissue at risk (volumeTmax>6s ). Target mismatch was defined as volumeCBF< 30% <70ml, volumemismatch ≥15ml, and volumeTmax >6s /volumeCBF< 30% ≥1.8. Spearman correlation and receiver operating characteristic curves were used for statistical analyses., Results: Strong correlations were found between CBF ASPECTS and volumeCBF<30% , and between Tmax ASPECTS and volumeTmax>6s for overall population (ρ=-0.872, -0.757) and late-arriving patients (ρ=-0.900, -0.789). Mismatch ASPECTS moderately correlated with mismatch volume for overall population (ρ=0.498) and late-arriving patients (ρ=0.407). A CBF ASPECTS≥5 optimally predicted an ischemic core volume<70ml in overall population (sensitivity, 94.4%; specificity, 80.4%) and late-arriving patients (sensitivity, 89.5%; specificity, 90.5%). A CBF ASPECTS≥6 combined with a Mismatch ASPECTS≥1 optimally identified a target mismatch in overall population (sensitivity, 84.5%; specificity, 77.0%) and late-arriving patients (sensitivity, 83.7%; specificity, 90.0%)., Conclusion: CTP ASPECTS might be useful in predicting target mismatch derived from automated perfusion analysis software, and assisting in patient selection for endovascular therapy., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)- Published
- 2022
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