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Updated: Jul 16, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
Published on: February 6, 2019
Proton dose deposition in heterogeneous media: A TOPAS Monte Carlo simulation study
Jie Li1, Xiangli Cui2, Lingling Liu1
1University of Science and Technology of China, Hefei, Anhui, 230026, China; Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, 230031, China; Radiotherapy Center, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, Anhui, 230031, China.
Tissue electron density significantly impacts proton beam dose distribution. Higher electron density results in a shallower, sharper Bragg peak, affecting dose deposition and range, crucial for proton therapy optimization.
Area of Science:
- Medical Physics
- Radiation Oncology
Background:
- Proton therapy offers precise dose delivery.
- Accurate dose calculation requires understanding tissue interactions.
- Tissue heterogeneity significantly influences proton beam dosimetry.
Purpose of the Study:
- To investigate the impact of tissue electron density on proton beam dose distribution.
- To quantify the relationship between electron density and dose parameters.
- To provide data for optimizing proton therapy treatment planning.
Main Methods:
- Utilized TOPAS Monte Carlo simulation for dose deposition analysis.
- Constructed heterogeneous tissue models with 14 distinct materials.
- Simulated a 169.23 MeV proton beam and analyzed dose parameters.
Main Results:
- Increased electron density correlated with higher local maximum dose.
- Higher electron density led to lower total dose and reduced Bragg peak depth/range.
- Electron density influenced penumbra width and Full Width at Half Maximum (FWHM).
Conclusions:
- Electron density is a critical factor in proton beam dose distribution.
- Variations in energy deposition due to electron density cause dose distribution changes.
- Findings offer a reference for precise dose calculation and proton therapy optimization.
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