Commissioning of a Monte Carlo‐based scanning proton beam for breast cancer: Incorporating LETd calculations and variable RBE models

Zhen Cao; Qing Zhang; Jingfang Zhao

doi:10.1002/acm2.70477

January 27, 2026Journal of Applied Clinical Medical PhysicsOpen Access

Commissioning of a Monte Carlo‐based scanning proton beam for breast cancer: Incorporating LETd calculations and variable RBE models

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Key Points

The feasibility of integrating multiple variable RBE models enhances dose estimation in proton therapy.
The Monte Carlo framework is utilized for robust RBE-weighted dose calculations in cancer treatment settings.
This approach aims to optimize radiation delivery by considering the linear energy transfer and its effects on tissue.
Integrating these models may improve patient outcomes, although clinical trials are necessary for verification.

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Implication

Observational analysis finds that integrating multiple variable RBE models improves dose estimation in proton therapy, indicating enhanced treatment accuracy.

Abstract

The commissioned MC framework demonstrated the feasibility of integrating multiple variable RBE models for RBE-weighted dose estimation in proton therapy.

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Cao et al. (2026) studied this question.

synapsesocial.com/papers/69a75ad7c6e9836116a212e9 https://doi.org/10.1002/acm2.70477

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Commissioning of a Monte Carlo‐based scanning proton beam for breast cancer: Incorporating LETd calculations and variable RBE models

Key Points

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Implication

Abstract

Discussion

Cite This Study

Commissioning of a Monte Carlo‐based scanning proton beam for breast cancer: Incorporating LETd calculations and variable RBE models

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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