Clinical implementation of deep learning robust IMPT planning in oropharyngeal cancer patients: A blinded clinical study.

Journal: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Published Date: Sep 6, 2024

Abstract

BACKGROUND AND PURPOSE: This study aimed to evaluate the plan quality of our deep learning-based automated treatment planning method for robustly optimized intensity-modulated proton therapy (IMPT) plans in patients with oropharyngeal carcinoma (OPC). The assessment was conducted through a retrospective and prospective study, blindly comparing manual plans with deep learning plans.

Authors

  • Ilse G van Bruggen
    Department of Radiation Oncology, University Medical Center Groningen, Groningen, the Netherlands. Electronic address: i.g.van.bruggen@umcg.nl.
  • Marije van Dijk
    Department of Radiation Oncology, University Medical Center Groningen, Groningen, the Netherlands.
  • Minke J Brinkman-Akker
    Department of Radiation Oncology, University Medical Center Groningen, Groningen, the Netherlands.
  • Fredrik Löfman
    RaySearch Laboratories, Stockholm, Sweden.
  • Johannes A Langendijk
    Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, The Netherlands.
  • Stefan Both
    Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, The Netherlands.
  • E W Korevaar
    Department of Radiation Oncology, University Medical Center Groningen, Groningen, the Netherlands.

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