Comparable Performance Between Automatic and Manual Laryngeal and Hypopharyngeal Gross Tumor Volume Delineations Validated With Pathology.

Journal: International journal of radiation oncology, biology, physics
PMID: 39788389

Abstract

PURPOSE: Deep learning is a promising approach to increase reproducibility and time-efficiency of gross tumor volume (GTV) delineation in head and neck cancer, but model evaluation primarily relies on manual GTV delineations as reference annotation, which are subjective and tend to overestimate tumor volume. This study aimed to validate a deep learning model for laryngeal and hypopharyngeal GTV segmentation with pathology and to compare its performance with clinicians' manual delineations.

Authors

  • Koen M Kuijer
    Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands; Technical Medicine, University of Twente, Enschede, The Netherlands. Electronic address: k.m.kuijer-2@umcutrecht.nl.
  • Hilde J G Smits
    Department of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
  • Patricia A H Doornaert
    Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Kenan Niu
    Robotics and Mechatronics, University of Twente, Enschede, The Netherlands.
  • Mark H F Savenije
    Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Ernst J Smid
    Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Chris H J Terhaard
    University Medical Center Utrecht, Department of Radiotherapy, Utrecht, The Netherlands.
  • Maarten L Terpstra
    Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands. Computational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Mischa de Ridder
    Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Marielle E P Philippens
    Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.

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