Prediction of Microvascular Invasion in Hepatocellular Carcinoma With a Multi-Disciplinary Team-Like Radiomics Fusion Model on Dynamic Contrast-Enhanced Computed Tomography.

Zhang, Wanli; Yang, Ruimeng; Liang, Fangrong; Liu, Guoshun; Chen, Amei; Wu, Hongzhen; Lai, Shengsheng; Ding, Wenshuang; Wei, Xinhua; Zhen, Xin; Jiang, Xinqing

Zhang, Wanli; Yang, Ruimeng; Liang, Fangrong; Liu, Guoshun; Chen, Amei; Wu, Hongzhen; Lai, Shengsheng; Ding, Wenshuang; Wei, Xinhua; Zhen, Xin; Jiang, Xinqing.

Afiliación

Zhang W; Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Yang R; Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.
Liang F; Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Liu G; Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.
Chen A; School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
Wu H; Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Lai S; Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.
Ding W; Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Wei X; Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.
Zhen X; Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Jiang X; Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.

Front Oncol ; 11: 660629, 2021.

Article en En | MEDLINE | ID: mdl-33796471

Palabras clave

dynamic contrast-enhanced computed tomography; hepatocellular carcinoma; microvascular invasion; model fusion; radiomics

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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