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An uncertainty-incorporated method for fast beam angle selection in intensity-modulated proton therapy
Natarajan Ramar1, Samir Ranjan Meher2
1Philips Health Systems, Philips India Limited, Bengaluru, Karnataka; Department of Physics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Journal of Cancer Research and Therapeutics
|July 20, 2023
Summary
A new metric, the ψ-score, optimizes beam angles for Intensity Modulated Proton Therapy (IMPT), improving plan quality without sacrificing robustness in clinical cases.
Area of Science:
- Medical Physics
- Radiation Oncology
- Radiotherapy Planning
Background:
- Intensity Modulated Proton Therapy (IMPT) requires precise beam angle selection for optimal treatment.
- Current methods may not fully balance plan optimality and robustness against uncertainties.
Purpose of the Study:
- To introduce and validate a novel metric, the ψ-score, for ranking IMPT beams.
- To assess the effectiveness of ψ-score guided beam angle selection in diverse clinical scenarios.
Main Methods:
- The ψ-score was developed to rank beam optimality and robustness for IMPT.
- Four plan types were generated for Lung, Pancreas, Prostate+Node, and Prostate cases: Conventional Angle (CA) and Suitable Angle (SA) plans, with and without Robust Optimization (RO).
- Beam angles in SA and SA-RO plans were determined using the ψ-score.
Main Results:
- ψ-score guided beam angle selection significantly improved plan quality (dose distribution, DVH) compared to conventional methods.
- Plan robustness was maintained without substantial compromise.
- Beam angle optimization using ψ-score with RO took 20-30 minutes, while without RO it took 10-15 minutes.
Conclusions:
- The proposed ψ-score is effective in determining optimal beam angles for IMPT.
- This method enhances treatment plan quality across various anatomical sites.
- The ψ-score provides a valuable tool for improving IMPT planning.
Keywords:
Beam angle optimizationintensity modulated proton therapyintensity modulated radiation therapyobjective functionrobust optimization
