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The future of image-guided radiotherapy-is image everything?
David J Noble1,2, Neil G Burnet1,2,3
11 Department of Oncology, Cancer Research UK VoxTox Research Group, University of Cambridge, Cambridge Biomedical Campus, Addenbrooke's Hospital , Cambridge , UK.
Image-guided radiotherapy using MR-linacs offers improved tumor visualization but faces technical challenges. Further research is needed to validate benefits like personalized treatment and online adaptation, considering cost and global healthcare equity.
Area of Science:
- Medical Physics
- Radiation Oncology
- Radiotherapy Technology
Background:
- Magnetic resonance (MR)-based image-guided (IG) radiotherapy is a rapidly advancing field.
- All-in-one MR treatment units (MR-linacs) promise enhanced tumor visualization and personalized treatment.
- Significant engineering and physical challenges accompany the development of MR-linac technology.
Purpose of the Study:
- To critically evaluate the proposed benefits of MR-linac technology in radiotherapy.
- To examine the technical challenges and practical considerations of implementing MR-guided radiotherapy.
- To discuss the implications of MR-linacs for personalized RT, image biomarker discovery, and global healthcare equity.
Main Methods:
- Review of current MR-linac designs and their associated engineering solutions.
- Analysis of the potential advantages, including improved tumor visibility and online adaptation.
- Discussion of the validation requirements for image biomarker-based personalized RT (RT).
Main Results:
- MR-linacs offer superior image quality, potentially improving tumor visualization.
- Technical challenges in MR-linac design are often managed rather than eliminated.
- The clinical utility of online adaptation and the validation of MR-based image biomarkers require further investigation.
- Cost and global healthcare equity are critical considerations for widespread MR-linac adoption.
Conclusions:
- MR-linacs represent an exciting technological advancement in radiotherapy with significant research potential.
- Careful validation of proposed benefits, including personalized RT and image biomarkers, is essential.
- The practical implementation of online adaptation needs further study to identify patient benefit.
- The high cost and potential impact on global healthcare inequalities must be addressed alongside technological development.
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