The role of automated computed topography perfusion in prediction of hemorrhagic transformation after acute ischemic stroke

Introduction: The role of computed tomography perfusion (CTP) in prediction of hemorrhagic transformation (HT) has been evolving. We aimed to study the role of automated perfusion post-processing software in prediction of HT using the commercially available RAPID software. Methods: Two hundred eighty-two patients with anterior circulation ischemic stroke, who underwent CTP with RAPID automated post-processing, were retrospectively enrolled and divided into HT (n = 91) and non-HT groups (n = 191). The automated RAPID-generated perfusion maps were reviewed. Mismatch volume and ratio, time to maximum (Tmax) > 4‐10s volumes, hypoperfusion index, cerebral blood flow (CBF) < 20–38% volumes, cerebral blood volume (CBV) < 34%–42% volumes, and CBV index were recorded and analyzed. Results: The volumes of brain tissues suffering from reduction of cerebral blood flow (CBF < 20%–38%), reduction in cerebral blood volumes (CBV < 34–42%), and delayed contrast arrival times (Tmax > 4–10s) were significantly higher in the HT group. The mismatch volumes were also higher in the HT group (p =.001). Among these parameters, the Tmax > 6s volume was the most reliable and sensitive predictor of HT (p =.001, AUC = 0.667). However, the combination of the perfusion parameters can slightly improve the diagnostic efficiency (AUC = 0.703). There was no statistically significant difference between the non-HT group and either the parenchymal or the symptomatic subtypes. Conclusion: The RAPID automated CTP parameters can provide a reliable predictor of HT overall but not the parenchymal or the symptomatic subtypes. The infarct area involving the penumbra and core represented by the Tmax > 6s threshold is the most sensitive predictor; however, the combination of the perfusion parameters can slightly improve the diagnostic efficiency.