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A predictive model of radiation-related fibrosis based on the radiomic features of magnetic resonance imaging and computed tomography.
Wang, Jian; Liu, Rongjie; Zhao, Yu; Nantavithya, Chonnipa; Elhalawani, Hesham; Zhu, Hongtu; Mohamed, Abdallah Sherif Radwan; Fuller, Clifton David; Kannarunimit, Danita; Yang, Pei; Zhu, Hong.
Afiliação
  • Wang J; Department of Oncology, Xiangya Hospital, Central South University, Changsha, China.
  • Liu R; Department of Statistics, Florida State University, Tallahassee, Florida, USA.
  • Zhao Y; Unity Hospital, Rochester Region Health, Rochester, New York, USA.
  • Nantavithya C; Department of Medicine, Chulalongkorn University/King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
  • Elhalawani H; Department of Radiation Oncology, MD Anderson Cancer Center, Houston, Texas, USA.
  • Zhu H; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Mohamed ASR; Department of Radiation Oncology, MD Anderson Cancer Center, Houston, Texas, USA.
  • Fuller CD; Department of Radiation Oncology, MD Anderson Cancer Center, Houston, Texas, USA.
  • Kannarunimit D; Department of Medicine, Chulalongkorn University/King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
  • Yang P; Department of Radiotherapy, Hunan Cancer Hospital, Affiliate Tumor Hospital of Xiangya Medical School, Central South University, Key Laboratory of Translational Radiation Oncology of Hunan Province, Changsha, China.
  • Zhu H; Department of Oncology, Xiangya Hospital, Central South University, Changsha, China.
Transl Cancer Res ; 9(8): 4726-4738, 2020 Aug.
Article em En | MEDLINE | ID: mdl-35117836
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Transl Cancer Res Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Transl Cancer Res Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China