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The Prediction of Biological Features Using Magnetic Resonance Imaging in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.
van der Hulst, Hedda J; Jansen, Robin W; Vens, Conchita; Bos, Paula; Schats, Winnie; de Jong, Marcus C; Martens, Roland M; Bodalal, Zuhir; Beets-Tan, Regina G H; van den Brekel, Michiel W M; de Graaf, Pim; Castelijns, Jonas A.
Afiliação
  • van der Hulst HJ; Department of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
  • Jansen RW; GROW School for Oncology and Developmental Biology, University of Maastricht, 6211 LK Maastricht, The Netherlands.
  • Vens C; Department of Otolaryngology and Head & Neck Surgery, Amsterdam UMC Location Vrije Universiteit Amsterdam, 1081 HZ Amsterdam, The Netherlands.
  • Bos P; Department of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, 1081 HZ Amsterdam, The Netherlands.
  • Schats W; Cancer Center Amsterdam, Imaging and Biomarkers, 1081 HV Amsterdam, The Netherlands.
  • de Jong MC; Department of Otolaryngology and Head & Neck Surgery, Amsterdam UMC Location Vrije Universiteit Amsterdam, 1081 HZ Amsterdam, The Netherlands.
  • Martens RM; School of Cancer Science, University of Glasgow, Glasgow G61 1QH, UK.
  • Bodalal Z; Department of Radiation Oncology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
  • Beets-Tan RGH; Scientific Information Service, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
  • van den Brekel MWM; Department of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, 1081 HZ Amsterdam, The Netherlands.
  • de Graaf P; Cancer Center Amsterdam, Imaging and Biomarkers, 1081 HV Amsterdam, The Netherlands.
  • Castelijns JA; Department of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, 1081 HZ Amsterdam, The Netherlands.
Cancers (Basel) ; 15(20)2023 Oct 20.
Article em En | MEDLINE | ID: mdl-37894447
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Ano de publicação: 2023 Tipo de documento: Article