Effect of arc length on the deep learning prediction of monitor units in lung stereotactic ablative radiation therapy treatment.

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Published Date: Jul 19, 2025

Abstract

INTRODUCTION: The dose magnitude required to fine-tune radiation in multi-lesion stereotactic ablative radiation therapy (SABR) treatment to the lung is driven by the monitor units (MU) per control point (CP). We investigate the arc length effect on the deep learning (DL) prediction of the MU per CP for automated lung lesions treatment planning.

Authors

  • Mathieu Gaudreault
    Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3000, Australia. Electronic address: mathieu.gaudreault@petermac.org.
  • Lachlan McIntosh
    Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, 3000, Australia.
  • Katrina Woodford
    Alfred Health Radiation Oncology, The Alfred, Melbourne, Victoria, Australia.
  • Jason Li
    Department of Bioinformatics, Genentech, Inc., South San Francisco, California.
  • Susan Harden
    Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3000, Australia.
  • Sandro Porceddu
    Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3000, Australia.
  • Vanessa Panettieri
    Alfred Health Radiation Oncology, The Alfred, Melbourne, Victoria, Australia.
  • Nicholas Hardcastle
    Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.

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