Ali Islam G, El Naqa Issam
Department of Physics, Faculty of Science, Arish University, Arish 45511, Egypt.
Departments of Machine Learning and Radiation Oncology, Moffitt Cancer Center, Tampa, FL 33612, USA.
Antioxidants (Basel). 2025 Jul 23;14(8):899. doi: 10.3390/antiox14080899.
Ultra-high dose rate radiotherapy known as Flash radiotherapy (FLASH-RT) offers tremendous opportunities to improve the therapeutic ratio of radiotherapy by sparing the normal tissue while maintaining similar tumoricidal efficacy. However, the underlying biophysical basis of the FLASH effect remains under active investigation with several proposed mechanisms involving oxygen depletion, altered free-radical chemistry, and differential biological responses. This article provides an overview of available experimental and computational tools that can be utilized to probe the tumor and normal tissue microenvironment. We analyze in vitro, ex vivo, and in vivo systems used to study FLASH responses. We describe various computational and imaging technologies that can potentially aid in understanding the biophysics of FLASH-RT and lead to safer clinical translational.
超高剂量率放射治疗,即闪速放射治疗(FLASH-RT),通过在保持相似杀瘤效果的同时保护正常组织,为提高放射治疗的治疗比提供了巨大机遇。然而,FLASH效应的潜在生物物理基础仍在积极研究中,有几种提出的机制涉及氧耗竭、自由基化学改变和不同的生物学反应。本文概述了可用于探测肿瘤和正常组织微环境的现有实验和计算工具。我们分析了用于研究FLASH反应的体外、离体和体内系统。我们描述了各种计算和成像技术,这些技术可能有助于理解FLASH-RT的生物物理学,并实现更安全的临床转化。