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头颈部肿瘤质子治疗管理中稳健优化过程及蒙特卡洛方法进展综述

A Review of the Robust Optimization Process and Advances with Monte Carlo in the Proton Therapy Management of Head and Neck Tumors.

作者信息

Zhang Xiaodong

机构信息

Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

出版信息

Int J Part Ther. 2021 Jun 25;8(1):14-24. doi: 10.14338/IJPT-20-00078.1. eCollection 2021 Summer.

Abstract

In intensity-modulated proton therapy, robust optimization processes have been developed to manage uncertainties associated with (1) range, (2) setup, (3) anatomic changes, (4) dose calculation, and (5) biological effects. Here we review our experience using a robust optimization technique that directly incorporates range and setup uncertainties into the optimization process to manage those sources of uncertainty. We also review procedures for implementing adaptive planning to manage the anatomic uncertainties. Finally, we share some early experiences regarding the impact of uncertainties in dose calculation and biological effects, along with techniques to manage and potentially reduce these uncertainties.

摘要

在调强质子治疗中,已开发出稳健的优化流程来处理与以下方面相关的不确定性:(1)射程、(2)摆位、(3)解剖结构变化、(4)剂量计算以及(5)生物学效应。在此,我们回顾使用一种稳健优化技术的经验,该技术将射程和摆位不确定性直接纳入优化过程以处理这些不确定性来源。我们还回顾了实施自适应计划以处理解剖结构不确定性的程序。最后,我们分享一些关于剂量计算和生物学效应中不确定性影响的早期经验,以及处理并可能降低这些不确定性的技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28e5/8270090/50075839fef7/i2331-5180-8-1-14-f01.jpg

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