The Future of MR-Guided Radiation Therapy

Matthias Guckenberger, Nicolaus Andratschke, Caroline Chung, Dave Fuller, Stephanie Tanadini-Lang, David A. Jaffray

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)135-144
Number of pages10
JournalSeminars in radiation oncology
Volume34
Issue number1
DOIs
StatePublished - Jan 2024

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Cancer Research

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