Radiomics features of DSC-PWI in time dimension may provide a new chance to identify ischemic stroke.

ABSTRACT: Ischemic stroke has become a severe disease endangering human life. However, few studies have analyzed the radiomics features that are of great clinical significance for the diagnosis, treatment, and prognosis of patients with ischemic stroke. Due to sufficient cerebral blood flow information in dynamic susceptibility contrast perfusion-weighted imaging (DSC-PWI) images, this study aims to find the critical features hidden in DSC-PWI images to characterize hypoperfusion areas (HA) and normal areas (NA). This study retrospectively analyzed 80 DSC-PWI data of 56 patients with ischemic stroke from 2013 to 2016. For exploring features in HA and NA,13 feature sets (F _method ) were obtained from different feature selection algorithms. Furthermore, these 13 F

SUBMITTER: Guo Y 

PROVIDER: S-EPMC9672479 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature