A Prospectively Validated Prognostic Model for Patients with Locally Advanced Squamous Cell Carcinoma of the Head and Neck Based on Radiomics of Computed Tomography Images

S.A. Keek, F.W.R. Wesseling, H.C. Woodruff, J.E. van Timmeren, I.H. Nauta, T.K. Hoffmann, S. Cavalieri, G. Calareso, S. Primakov, R.T.H. Leijenaar, L. Licitra, M. Ravanelli, K. Scheckenbach, T. Poli, D. Lanfranco, M.R. Vergeer, C.R. Leemans, R.H. Brakenhoff, F.J.P. Hoebers, P. Lambin*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Article number3271
Number of pages17
JournalCancers
Volume13
Issue number13
DOIs
Publication statusPublished - 1 Jul 2021

Keywords

  • radiomics
  • machine learning
  • precision medicine
  • head and neck cancer
  • survival study
  • CANCER PATIENTS
  • PREDICTION
  • SURVIVAL
  • DELINEATION
  • DIAGNOSIS
  • LARYNGEAL
  • PET

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