Prediction of Malignant Acute Middle Cerebral Artery Infarction via Computed Tomography Radiomics.

ABSTRACT: Malignant middle cerebral artery infarction (mMCAi) is a serious complication of cerebral infarction usually associated with poor patient prognosis. In this retrospective study, we analyzed clinical information as well as non-contrast computed tomography (NCCT) and computed tomography angiography (CTA) data from patients with cerebral infarction in the middle cerebral artery (MCA) territory acquired within 24 h from symptoms onset. Then, we aimed to develop a model based on the radiomics signature to predict the development of mMCAi in cerebral infarction patients. Patients were divided randomly into training (n = 87) and validation (n = 39) sets. A total of 396 texture features were extracted from each NCCT image from the 126 patients. The least absolute shrinkage and select

SUBMITTER: Wen X 

PROVIDER: S-EPMC7358521 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature