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A new methodology for inter- and intrafraction plan adaptation for the MR-linac
Charis Kontaxis1, G H Bol, J J W Lagendijk
1Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, Utrecht 3584 CX, The Netherlands.
Physics in Medicine and Biology
|September 16, 2015
Summary
New intensity-modulated radiotherapy (IMRT) planning software adapts to real-time patient anatomy changes during treatment. This system optimizes radiation delivery, improving target accuracy and reducing dose to surrounding organs at risk (OARs).
Area of Science:
- Medical Physics
- Radiation Oncology
- Medical Imaging
Background:
- Hybrid MRI and linear accelerator (MR-linac) machines offer real-time patient anatomy visualization during radiation delivery.
- Adapting radiation plans to dynamic anatomical changes is crucial for maximizing treatment efficacy and minimizing toxicity.
- Current treatment planning systems often lack the capability for online adaptation to intra- and interfraction anatomical variations.
Purpose of the Study:
- To present a novel intensity-modulated radiotherapy (IMRT) treatment planning algorithm capable of compensating for patient anatomy changes.
- To enable online plan adaptation to real-time anatomical data provided by hybrid MR-linac systems.
- To demonstrate the algorithm's effectiveness in achieving ideal dose distribution without final segment weight optimization (SWO).
Main Methods:
- Development of an iterative sequencing loop for online anatomy updates.
- Implementation of an inter- and intrafraction adaptation scheme for treatment plan adjustments.
- Validation using artificial baseline shifts in three kidney cancer cases with varying target volumes.
Main Results:
- The proposed algorithm successfully accounts for intrafraction motion, delivering precise dose to targets while minimizing exposure to organs at risk (OARs) compared to conventional plans.
- The interfraction adaptation scheme allows for effective dose delivery by adjusting to anatomical changes during multi-fraction treatments.
- The system achieves convergence to the ideal dose distribution without requiring a final segment weight optimization (SWO).
Conclusions:
- The developed IMRT treatment planning algorithm effectively adapts to patient anatomy changes in an online regime, leveraging data from hybrid MR-linac machines.
- This approach enhances dose accuracy and OAR sparing, offering a significant improvement over conventional treatment planning.
- The algorithm facilitates adaptive radiotherapy, enabling robust treatment delivery even with significant interfraction anatomical variations.

