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Updated: May 31, 2026
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Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
Published on: February 6, 2019
A robust algorithm of intensity modulated proton therapy for critical tissue sparing and target coverage
Taku Inaniwa1, Nobuyuki Kanematsu, Takuji Furukawa
1Medical Physics Research Program, Research Center for Charged Particle Therapy, National Institute of Radiological Sciences, 4-9-1 Anagawa, Inage-ku, Chiba 263-8555, Japan. taku@nirs.go.jp
Physics in Medicine and Biology
|July 15, 2011
Summary
This study introduces a novel method for intensity modulated proton therapy (IMPT) to improve treatment robustness against uncertainties. The new approach enhances target coverage and organ sparing, leading to more reliable proton therapy plans.
Area of Science:
- Radiation Oncology
- Medical Physics
- Computational Biology
Background:
- Intensity modulated proton therapy (IMPT) allows precise radiation delivery, optimizing target coverage and sparing organs at risk.
- IMPT treatment plans can be sensitive to range and setup uncertainties, potentially compromising therapeutic outcomes.
- Robust optimization methods are crucial to mitigate the impact of these uncertainties in IMPT.
Purpose of the Study:
- To develop and evaluate a novel dose optimization method for IMPT that accounts for range and setup uncertainties.
- To enhance the robustness of IMPT treatment plans against potential errors.
- To maintain target coverage and minimize dose to organs at risk under uncertainty conditions.
Main Methods:
- A new algorithm was developed to suppress pencil beams with a high risk of delivering undesired doses to organs at risk under uncertainty.
- A risk index was defined to quantify the likelihood of high doses to organs at risk for each pencil beam.
- This risk index was integrated into the objective function of dose optimization, alongside an existing algorithm for target dose coverage.
Main Results:
- The developed method was applied to an RTOG benchmark phantom and a cervical chordoma case.
- Simulations showed that the robust IMPT plans were more resilient to range and setup errors compared to conventional IMPT plans.
- The optimization time for the robust plan increased by a factor of 3 (from 4 to 11 minutes) compared to the conventional plan.
Conclusions:
- The novel dose optimization method significantly improves the robustness of IMPT plans against range and setup uncertainties.
- This approach effectively balances target coverage and organ sparing, even when uncertainties are present.
- The method offers a practical solution for developing more reliable and safer IMPT treatments with a modest increase in computation time.
