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The Future of MR-Guided Radiation Therapy
Matthias Guckenberger1, Nicolaus Andratschke2, Caroline Chung3
1Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland..
Seminars in Radiation Oncology
|December 17, 2023
Summary
Magnetic resonance image guided radiation therapy (MRIgRT) offers benefits but faces challenges. Research focuses on AI and technology to improve workflow, speed, and quality, aiming to unlock its full clinical potential.
Area of Science:
- Medical Physics
- Radiation Oncology
- Medical Imaging
Background:
- Magnetic resonance image guided radiation therapy (MRIgRT) shows promise for improved patient outcomes.
- Current MRIgRT systems face challenges including complexity, resource demands, and reduced throughput.
- The full clinical potential of MRIgRT is yet to be realized.
Purpose of the Study:
- To summarize the limitations of current integrated MRIgRT systems.
- To provide an outlook on scientific developments for expanding MRIgRT utilization.
Main Methods:
- Review of current integrated MRIgRT systems and their limitations.
- Exploration of emerging technologies and strategies to address workflow challenges.
- Discussion of advancements in artificial intelligence (AI) for automation and acceleration.
Main Results:
- MRIgRT's high soft-tissue contrast and real-time imaging enable adaptive protocols.
- Challenges include increased complexity, resource needs, and longer treatment times.
- AI and technological improvements are key to overcoming these hurdles.
Conclusions:
- Further development is needed to overcome current limitations in MRIgRT.
- Advancements in AI, workflow parallelization, and imaging technology will expand MRIgRT use.
- Optimizing MRIgRT systems is crucial for realizing its clinical potential.
