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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

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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… Click to show full 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 (volume Tmax>6s ). Target mismatch was defined as volume CBF< 30% <70ml, volume mismatch ≥15ml, and volume Tmax >6s /volume CBF< 30% ≥1.8. Spearman correlation and receiver operating characteristic curves were used for statistical analyses. Results Strong correlations were found between CBF ASPECTS and volume CBF<30% , and between Tmax ASPECTS and volume Tmax>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.

Keywords: mismatch; perfusion; stroke; target mismatch; volume

Journal Title: Neuroradiology
Year Published: 2022

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