CT-Based Intrathrombus and Perithrombus Radiomics for Prediction of Prognosis after Endovascular Thrombectomy: A Retrospective Study across 2 Centers

In the training (A) and validation (B) cohorts, the 8 classifiers including the LR, SVM, KNN, RF, extra trees, XGBoost, LightGBM, and MLP obtained AUCs for the models, respectively. In the validation cohort, the AUC range of each model based on intrathrombus regions is 0.61–0.70. Based on perithrombus regions, it is 0.74–0.87, and on combined regions, it is 0.74–0.90 (C).