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质子治疗中的快速蒙特卡罗剂量计算。

Fast Monte Carlo dose calculation in proton therapy.

机构信息

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

College of Mechanical and Power Engineering, China Three Gorges University, Yichang, Hubei 443002, People's Republic of China.

出版信息

Phys Med Biol. 2024 Aug 13;69(17). doi: 10.1088/1361-6560/ad67a7.

Abstract

This article examines the critical role of fast Monte Carlo (MC) dose calculations in advancing proton therapy techniques, particularly in the context of increasing treatment customization and precision. As adaptive radiotherapy and other patient-specific approaches evolve, the need for accurate and precise dose calculations, essential for techniques like proton-based stereotactic radiosurgery, becomes more prominent. These calculations, however, are time-intensive, with the treatment planning/optimization process constrained by the achievable speed of dose computations. Thus, enhancing the speed of MC methods is vital, as it not only facilitates the implementation of novel treatment modalities but also leads to more optimal treatment plans. Today, the state-of-the-art in MC dose calculation speeds is 10-10protons per second. This review highlights the latest advancements in fast MC dose calculations that have led to such speeds, including emerging artificial intelligence-based techniques, and discusses their application in both current and emerging proton therapy strategies.

摘要

本文探讨了快速蒙特卡罗(MC)剂量计算在推进质子治疗技术方面的关键作用,特别是在增加治疗定制化和精准度的背景下。随着自适应放疗和其他个体化治疗方法的发展,对于像质子立体定向放射外科等技术来说,准确和精确的剂量计算变得更加重要。然而,这些计算非常耗时,剂量计算的可实现速度限制了治疗计划/优化过程。因此,提高 MC 方法的速度至关重要,因为它不仅促进了新治疗模式的实施,还导致了更优化的治疗计划。目前,MC 剂量计算速度的最先进水平为每秒 10-10 个质子。本综述重点介绍了实现这种速度的最新快速 MC 剂量计算进展,包括新兴的基于人工智能的技术,并讨论了它们在当前和新兴的质子治疗策略中的应用。

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