The Future of MR-Guided Radiation Therapy.

Journal: Seminars in radiation oncology
PMID:

Abstract

Magnetic resonance image guided radiation therapy (MRIgRT) is a relatively new technology that has already shown outcomes benefits but that has not yet reached its clinical potential. The improved soft-tissue contrast provided with MR, coupled with the immediacy of image acquisition with respect to the treatment, enables expansion of on-table adaptive protocols, currently at a cost of increased treatment complexity, use of human resources, and longer treatment slot times, which translate to decreased throughput. Many approaches are being investigated to meet these challenges, including the development of artificial intelligence (AI) algorithms to accelerate and automate much of the workflow and improved technology that parallelizes workflow tasks, as well as improvements in image acquisition speed and quality. This article summarizes limitations of current available integrated MRIgRT systems and gives an outlook about scientific developments to further expand the use of MRIgRT.

Authors

  • Matthias Guckenberger
    Department of Radiation Oncology, University Hospital Zurich, Switzerland.
  • Nicolaus Andratschke
    Department of Radiation Oncology, University Medicine Rostock, Rostock, Germany. nicolaus.andratschke@usz.ch.
  • Caroline Chung
    The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Dave Fuller
    Division of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX.
  • Stephanie Tanadini-Lang
    Department of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland.
  • David A Jaffray
    Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario M5G 2M9, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario M5S 3E2, Canada; and Techna Institute, University Health Network, Toronto, Ontario M5G 1P5, Canada.