Clinical variables and magnetic resonance imaging-based radiomics predict human papillomavirus status of oropharyngeal cancer

Paula Bos*, Michiel W. M. van den Brekel, Zeno A. R. Gouw, Abrahim Al-Mamgani, Selam Waktola, Hugo J. W. L. Aerts, Regina G. H. Beets-Tan, Jonas A. Castelijns, Bas Jasperse

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)485-495
Number of pages11
JournalHead and Neck-Journal for the Sciences and Specialties of the Head and Neck
Volume43
Issue number2
Early online date7 Oct 2020
DOIs
Publication statusPublished - Feb 2021

Keywords

  • head and neck cancer
  • human papillomavirus
  • machine learning
  • radiomics
  • SQUAMOUS-CELL CARCINOMA
  • TREATMENT DE-ESCALATION
  • HPV STATUS
  • HEAD
  • SURVIVAL
  • SELECTION

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