Radiomics-based infarct features on ct predict hemorrhagic transformation in patients with acute ischemic stroke

HIGHLIGHTS

  • who: Kang Li from the Sungkyunkwan University, Clinic of Barcelona, Spain have published the Article: Radiomics-based infarct features on CT predict hemorrhagic transformation in patients with acute ischemic stroke, in the Journal: (JOURNAL)
  • what: To further explore the utility of radiomics features in predicting HT, this study aimed to construct a model based on the radiomics features of Frontiers in Neuroscience A receiver operating characteristic curve analysis was used to calculate the area under the curve (AUC) of the model, a calibration curve was used to evaluate the consistency between the predicted probability and . . .

     

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