[Performance of the Combined Model Based on Both Clinicopathological and CT Texture Features in Predicting Liver Metastasis of High-risk Gastrointestinal Stromal Tumors].

Zheng, Jing; Wang, Xu; Xia, Yang; Jiang, Hai-Tao

Zheng, Jing; Wang, Xu; Xia, Yang; Jiang, Hai-Tao.

Afiliação

Zheng J; Department of Radiology,Shaoxing Central Hospital,Key Laboratory of Functional Molecular Imaging of Tumor and Interventional Diagnosis and Treatment of Shaoxing City,Shaoxing,Zhejiang 312030,China.
Wang X; Department of Radiology,Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital,Hangzhou 310022,China.
Xia Y; Department of Radiology,Shaoxing Maternal and Child Health Hospital,Shaoxing,Zhejiang 312000,China.
Jiang HT; Department of Radiology,Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital,Hangzhou 310022,China.

Zhongguo Yi Xue Ke Xue Yuan Xue Bao ; 44(1): 53-59, 2022 Feb.

Article em Zh | MEDLINE | ID: mdl-35300765

Assuntos

Tumores do Estroma Gastrointestinal; Neoplasias Hepáticas; Tumores do Estroma Gastrointestinal/diagnóstico por imagem; Humanos; Neoplasias Hepáticas/diagnóstico por imagem; Curva ROC; Estudos Retrospectivos; Tomografia Computadorizada por Raios X/métodos

Palavras-chave

computed tomography; gastrointestinal stromal tumors; high risk; texture feature

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tumores do Estroma Gastrointestinal / Neoplasias Hepáticas Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: Zh Revista: Zhongguo Yi Xue Ke Xue Yuan Xue Bao Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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