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Normal tissue complication probability (NTCP) modelling using spatial dose metrics and machine learning methods for severe acute oral mucositis resulting from head and neck radiotherapy.
Dean, Jamie A; Wong, Kee H; Welsh, Liam C; Jones, Ann-Britt; Schick, Ulrike; Newbold, Kate L; Bhide, Shreerang A; Harrington, Kevin J; Nutting, Christopher M; Gulliford, Sarah L.
Afiliação
  • Dean JA; Joint Department of Physics at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK. Electronic address: jamie.dean@icr.ac.uk.
  • Wong KH; The Royal Marsden NHS Foundation Trust, London, UK.
  • Welsh LC; The Royal Marsden NHS Foundation Trust, London, UK.
  • Jones AB; The Royal Marsden NHS Foundation Trust, London, UK.
  • Schick U; The Royal Marsden NHS Foundation Trust, London, UK.
  • Newbold KL; The Royal Marsden NHS Foundation Trust, London, UK; The Institute of Cancer Research, London, UK.
  • Bhide SA; The Royal Marsden NHS Foundation Trust, London, UK; The Institute of Cancer Research, London, UK.
  • Harrington KJ; The Royal Marsden NHS Foundation Trust, London, UK; The Institute of Cancer Research, London, UK.
  • Nutting CM; The Royal Marsden NHS Foundation Trust, London, UK; The Institute of Cancer Research, London, UK.
  • Gulliford SL; Joint Department of Physics at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK.
Radiother Oncol ; 120(1): 21-7, 2016 07.
Article em En | MEDLINE | ID: mdl-27240717

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Lesões por Radiação / Estomatite / Aprendizado de Máquina / Neoplasias de Cabeça e Pescoço Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Lesões por Radiação / Estomatite / Aprendizado de Máquina / Neoplasias de Cabeça e Pescoço Idioma: En Ano de publicação: 2016 Tipo de documento: Article