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ASO Visual Abstract: 18F-FDG PET/CT Radiomics-Based Multimodality Fusion Model for Preoperative Individualized Noninvasive Prediction of Peritoneal Metastasis in Advanced Gastric Cancer.
Chen, Hao; Chen, Yi; Dong, Ye; Gou, Longfei; Hu, Yanfeng; Wang, Quanshi; Li, Guoxin; Li, Shulong; Yu, Jiang.
Afiliação
  • Chen H; Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
  • Chen Y; Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
  • Dong Y; Nanfang PET Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
  • Gou L; Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
  • Hu Y; Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
  • Wang Q; Nanfang PET Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
  • Li G; Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China. gzliguoxin@163.com.
  • Li S; Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China. gzliguoxin@163.com.
  • Yu J; School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing, Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China. Shulong@smu.edu.cn.
Ann Surg Oncol ; 2024 Jul 29.
Article em En | MEDLINE | ID: mdl-39073660
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article