Automated clinical decision support system with deep learning dose prediction and NTCP models to evaluate treatment complications in patients with esophageal cancer.

Journal: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Published Date: Sep 24, 2022

Abstract

BACKGROUND AND PURPOSE: This study aims to investigate how accurate our deep learning (DL) dose prediction models for intensity modulated radiotherapy (IMRT) and pencil beam scanning (PBS) treatments, when chained with normal tissue complication probability (NTCP) models, are at identifying esophageal cancer patients who are at high risk of toxicity and should be switched to proton therapy (PT).

Authors

  • Camille Draguet
    UCLouvain, Institut de Recherche Expérimentale et Clinique, Molecular Imaging Radiotherapy and Oncology (MIRO), Brussels, Belgium; KU Leuven, Department of Oncology, Laboratory of Experimental Radiotherapy, Leuven, Belgium. Electronic address: camille.draguet@uclouvain.be.
  • Ana M Barragán-Montero
    Molecular Imaging, Radiotherapy and Oncology (MIRO), UCLouvain, Brussels, Belgium.
  • Macarena Chocan Vera
    UCLouvain, Institut de Recherche Expérimentale et Clinique, Molecular Imaging Radiotherapy and Oncology (MIRO), Brussels, Belgium.
  • Melissa Thomas
    KU Leuven - Department of Oncology - Laboratory of Experimental Radiotherapy, Leuven, Belgium; University Hospitals Leuven, Department of Radiation Oncology, 3000 Leuven, Belgium.
  • Pieter Populaire
    KU Leuven, Department of Oncology, Laboratory of Experimental Radiotherapy, Leuven, Belgium; University Hospitals Leuven, Department of Radiation Oncology, 3000 Leuven, Belgium.
  • Gilles Defraene
    KU Leuven - Department of Oncology - Laboratory of Experimental Radiotherapy, Leuven, Belgium.
  • Karin Haustermans
    KU Leuven - Department of Oncology - Laboratory of Experimental Radiotherapy, Leuven, Belgium; University Hospitals Leuven, Department of Radiation Oncology, 3000 Leuven, Belgium.
  • John A Lee
    Molecular Imaging, Radiation and Oncology (MIRO) Laboratory, UCLouvain, Belgium.
  • Edmond Sterpin
    Center of Molecular Imaging, Radiotherapy and Oncology (MIRO), UCLouvain, Brussels, Belgium.

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