AUTHOR=Guo Yingwei , Yang Yingjian , Cao Fengqiu , Liu Yang , Li Wei , Yang Chaoran , Feng Mengting , Luo Yu , Cheng Lei , Li Qiang , Zeng Xueqiang , Miao Xiaoqiang , Li Longyu , Qiu Weiyan , Kang Yan TITLE=Radiomics features of DSC-PWI in time dimension may provide a new chance to identify ischemic stroke JOURNAL=Frontiers in Neurology VOLUME=Volume 13 - 2022 YEAR=2022 URL=https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2022.889090 DOI=10.3389/fneur.2022.889090 ISSN=1664-2295 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 (