MRI Radiomics Features From Infarction and Cerebrospinal Fluid for Prediction of Cerebral Edema After Acute Ischemic Stroke.

Jiang, Liang; Zhang, Chuanyang; Wang, Siyu; Ai, Zhongping; Shen, Tingwen; Zhang, Hong; Duan, Shaofeng; Yin, Xindao; Chen, Yu-Chen

Jiang, Liang; Zhang, Chuanyang; Wang, Siyu; Ai, Zhongping; Shen, Tingwen; Zhang, Hong; Duan, Shaofeng; Yin, Xindao; Chen, Yu-Chen.

Afiliação

Jiang L; Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Zhang C; Department of Radiology, Nanjing Gaochun People's Hospital, Nanjing, China.
Wang S; Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Ai Z; Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Shen T; Department of Radiology, Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China.
Zhang H; Department of Radiology, Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China.
Duan S; GE Healthcare, Precision Health Institution, Shanghai, China.
Yin X; Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Chen YC; Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.

Front Aging Neurosci ; 14: 782036, 2022.

Article em En | MEDLINE | ID: mdl-35309889

Palavras-chave

biomarker; cerebrospinal fluid; machine learning; neuroimaging; stroke

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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