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Identifying the individual metabolic abnormities from a systemic perspective using whole-body PET imaging.
Sun, Tao; Wang, Zhenguo; Wu, Yaping; Gu, Fengyun; Li, Xiaochen; Bai, Yan; Shen, Chushu; Hu, Zhanli; Liang, Dong; Liu, Xin; Zheng, Hairong; Yang, Yongfeng; El Fakhri, Georges; Zhou, Yun; Wang, Meiyun.
Afiliación
  • Sun T; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China. tao.sun@siat.ac.cn.
  • Wang Z; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China.
  • Wu Y; Department of Medical Imaging, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
  • Gu F; Central Research Institute, United Imaging Healthcare Group Co., Ltd, Shanghai, People's Republic of China.
  • Li X; Department of Statistics, School of Mathematical Sciences, University College Cork, Cork, Ireland.
  • Bai Y; Department of Medical Imaging, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
  • Shen C; Department of Medical Imaging, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
  • Hu Z; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China.
  • Liang D; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China.
  • Liu X; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China.
  • Zheng H; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China.
  • Yang Y; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China.
  • El Fakhri G; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China.
  • Zhou Y; Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Wang M; Central Research Institute, United Imaging Healthcare Group Co., Ltd, Shanghai, People's Republic of China.
Eur J Nucl Med Mol Imaging ; 49(8): 2994-3004, 2022 07.
Article en En | MEDLINE | ID: mdl-35567627
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 / Neoplasias Pulmonares Límite: Humans Idioma: En Revista: Eur J Nucl Med Mol Imaging Asunto de la revista: MEDICINA NUCLEAR Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 / Neoplasias Pulmonares Límite: Humans Idioma: En Revista: Eur J Nucl Med Mol Imaging Asunto de la revista: MEDICINA NUCLEAR Año: 2022 Tipo del documento: Article