Stereotactic radiotherapy or protons for uveal melanoma patients? An artificial intelligence (AI)-based clinical treatment decision-making tool predicting doses to radiotherapy constraints.

Journal: International journal of radiation oncology, biology, physics
Published Date: Jul 2, 2025

Abstract

PURPOSE: For ocular melanoma, selecting between stereotactic radiotherapy (SRT) and protons requires a lengthy plan comparison process. The purpose of this brief report is to describe an artificial intelligence (AI) decision-making tool to predict dosimetric and clinical outcomes based on easy-to-access tumor characteristics.

Authors

  • Emmanuelle Fleury
    Erasmus Medical Center Cancer Institute, University Medical Center, Department of Radiotherapy, Rotterdam, The Netherlands; Holland Proton Therapy Center, Delft, The Netherlands. Electronic address: e.fleury@erasmusmc.nl.
  • Jean-Philippe Pignol
    Sultan Qaboos Comprehensive Cancer and Research Center, Muscat, Oman.
  • Emine Kiliç
    Ophthalmology, Erasmus MC Rotterdam, Rotterdam, the Netherlands.
  • Caroline van Rij
    Erasmus Medical Center Cancer Institute, University Medical Center, Department of Radiotherapy, Rotterdam, The Netherlands.
  • Nicole Naus
    Erasmus Medical Center, Department of Ophthalmology, Rotterdam, The Netherlands.
  • Serdar Yavuzyigitoglu
    Erasmus Medical Center, Department of Ophthalmology, Rotterdam, The Netherlands.
  • Wilhelm den Toom
    Erasmus Medical Center Cancer Institute, University Medical Center, Department of Radiotherapy, Rotterdam, The Netherlands.
  • András Zolnay
    Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.
  • Kees Spruijt
    Holland Proton Therapy Center, Delft, The Netherlands.
  • Marco van Vulpen
    Holland Proton Therapy Center, Delft, The Netherlands.
  • Petra Trnková
    Department of Radiation Oncology, Medical University of Vienna, Vienna, Austria.
  • Mischa Hoogeman
    Erasmus MC Cancer Institute, Rotterdam, The Netherlands.

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