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Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

Fast Monte Carlo dose calculation in proton therapy.

Jason Holmes¹, Hongying Feng^1,2,3, Lian Zhang¹

¹Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ 85054, United States of America.

Physics in Medicine and Biology

|July 25, 2024

Summary

Fast Monte Carlo (MC) dose calculations are crucial for precise proton therapy. Enhancing MC speed enables advanced adaptive radiotherapy and optimized treatment plans for better patient outcomes.

Keywords:

Monte Carlo adaptive radiotherapy dose calculation proton therapy

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Area of Science:

Medical Physics
Radiation Oncology
Computational Science

Background:

Proton therapy demands precise dose calculations for personalized treatments like stereotactic radiosurgery.
Current Monte Carlo (MC) dose computations are time-intensive, limiting treatment planning efficiency.
Advancements in adaptive radiotherapy necessitate faster and more accurate dose calculation methods.

Purpose of the Study:

To review the critical role and recent advancements in fast Monte Carlo (MC) dose calculations for proton therapy.
To highlight how increased MC calculation speed supports precision and customization in radiation oncology.
To discuss the impact of accelerated MC methods on current and future proton therapy strategies.

Main Methods:

Review of state-of-the-art Monte Carlo (MC) dose calculation techniques in proton therapy.
Analysis of advancements contributing to MC speeds of 10^6-10^7 protons per second.
Exploration of emerging artificial intelligence (AI)-based methods for dose calculation acceleration.

Main Results:

Significant improvements in MC dose calculation speeds have been achieved, reaching 10^6-10^7 protons per second.
Fast MC calculations are enabling more sophisticated and patient-specific proton therapy plans.
AI-based techniques show promise in further accelerating MC dose computations.

Conclusions:

Accelerated Monte Carlo (MC) dose calculations are essential for the evolution of precise and adaptive proton therapy.
Faster MC methods facilitate the development of novel treatment modalities and optimize existing ones.
Continued research into fast MC techniques, including AI, will drive further innovation in radiation oncology.