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Pareto fronts in clinical practice for pinnacle
Tomas Janssen1, Zdenko van Kesteren, Gijs Franssen
1Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
International Journal of Radiation Oncology, Biology, Physics
|August 21, 2012
Summary
This study developed an automated framework for objective treatment planning using Pareto fronts. Volumetric modulated arc therapy (VMAT) demonstrated a dosimetric advantage over intensity modulated radiation therapy (IMRT) for prostate cancer patients.
Area of Science:
- Radiation oncology
- Medical physics
- Treatment planning
Background:
- Objective treatment planning is crucial for optimizing radiation therapy.
- Pareto fronts offer a method to visualize trade-offs between conflicting planning criteria.
- Current methods for treatment planning studies can be subjective and time-consuming.
Purpose of the Study:
- To develop an automated framework for objective treatment planning studies using Pareto fronts.
- To minimize user interaction in the treatment planning process.
- To create a framework applicable to daily clinical practice.
Main Methods:
- Utilized the native scripting language of Pinnacle(3) to generate Pareto fronts.
- Automated the generation of thousands of treatment plans for each patient and technique.
- Applied the framework to compare intensity modulated radiation therapy (IMRT) with volumetric modulated arc therapy (VMAT) for prostate cancer.
Main Results:
- Automated generation of 3000 plans per technique per patient was feasible.
- Volumetric modulated arc therapy (VMAT) showed a dosimetric advantage over intensity modulated radiation therapy (IMRT).
- Specific improvements with VMAT included reduced maximum dose to the boost PTV and mean dose to the anal sphincter.
Conclusions:
- Demonstrated the feasibility of automatically generating Pareto fronts for treatment planning.
- Pareto fronts are valuable tools for objective comparative treatment planning studies.
- VMAT offers a dosimetric advantage over IMRT for prostate cancer treatment planning.
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