NRG Oncology White Paper on the Relative Biological Effectiveness in Proton Therapy

质子疗法 背景(考古学) 粒子疗法 相对生物效应 临床试验 内科学 医学物理学 医学 放射治疗计划 物理 放射治疗 核物理学 生物 辐照 古生物学
作者
Harald Paganetti,Charles B. Simone,Walter Bosch,Daphne A. Haas‐Kogan,David G. Kirsch,Heng Li,Xiaoying Liang,Wei Liu,Anita Mahajan,Michael D. Story,Paige A. Taylor,Henning Willers,Ying Xiao,Jeffrey C. Buchsbaum
出处
期刊:International Journal of Radiation Oncology Biology Physics [Elsevier BV]
卷期号:121 (1): 202-217 被引量:29
标识
DOI:10.1016/j.ijrobp.2024.07.2152
摘要

This position paper, led by the NRG Oncology Particle Therapy Work Group, focuses on the concept of relative biologic effect (RBE) in clinical proton therapy (PT), with the goal of providing recommendations for the next-generation clinical trials with PT on the best practice of investigating and using RBE, which could deviate from the current standard proton RBE value of 1.1 relative to photons. In part 1, current clinical utilization and practice are reviewed, giving the context and history of RBE. Evidence for variation in RBE is presented along with the concept of linear energy transfer (LET). The intertwined nature of tumor radiobiology, normal tissue constraints, and treatment planning with LET and RBE considerations is then reviewed. Part 2 summarizes current and past clinical data and then suggests the next steps to explore and employ tools for improved dynamic models for RBE. In part 3, approaches and methods for the next generation of prospective clinical trials are explored, with the goal of optimizing RBE to be both more reflective of clinical reality and also deployable in trials to allow clinical validation and interpatient comparisons. These concepts provide the foundation for personalized biologic treatments reviewed in part 4. Finally, we conclude with a summary including short- and long-term scientific focus points for clinical PT. The practicalities and capacity to use RBE in treatment planning are reviewed and considered with more biological data in hand. The intermediate step of LET optimization is summarized and proposed as a potential bridge to the ultimate goal of case-specific RBE planning that can be achieved as a hypothesis-generating tool in near-term proton trials.
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