Abstract

Mechanical thrombectomy within 6?h after stroke onset improves the outcome in patients with large vessel occlusions. The aim of our study was to establish a model based on diffusion weighted and perfusion weighted imaging to provide an accurate prediction for the 6?h time-window in patients with unknown time of stroke onset.A predictive model was designed based on data from the DEFUSE 2 study and validated in a subgroup of patients with large vessel occlusions from the AXIS 2 trial.We constructed the model in 91 patients from DEFUSE 2. The following parameters were independently associated with <6?h time-window and included in the model: interquartile range and median relative diffusion weighted imaging, hypoperfusion intensity ratio, core volume and the interaction between median relative diffusion weighted imaging and hypoperfusion intensity ratio as predictors of the 6?h time-window. The area under the curve was 0.80 with a positive predictive value of 0.90 (95%CI 0.79-0.96). In the validation cohort (N?=?90), the area under the curve was 0.73 (P for difference?=?0.4) with a positive predictive value of 0.85 (95%CI 0.69-0.95).After validation in a larger independent dataset the model can be considered to select patients for endovascular treatment in whom stroke onset is unknown.In patients with large vessel occlusion and unknown time of stroke onset an automated multivariate imaging model is able to select patients who are likely within the 6?h time-window.

View details for DOI 10.1177/2396987317753486

View details for PubMedID 31008349

View details for PubMedCentralID PMC6460412