Castorina Paolo, Castiglione Filippo, Ferini Gianluca, Forte Stefano, Martorana Emanuele
Istituto Oncologico del Mediterraneo, Via Penninazzo, 7, 95029 Viagrande, Italy.
INFN, Sezione di Catania, Via Santa Sofia, 64, 95123 Catania, Italy.
J Pers Med. 2024 Apr 21;14(4):436. doi: 10.3390/jpm14040436.
The field of precision radiation therapy has seen remarkable advancements in both experimental and computational methods. Recent literature has introduced various approaches such as Spatially Fractionated Radiation Therapy (SFRT). This unconventional treatment, demanding high-precision radiotherapy, has shown promising clinical outcomes. A comprehensive computational scheme for SFRT, extrapolated from a case report, is proposed. This framework exhibits exceptional flexibility, accommodating diverse initial conditions (shape, inhomogeneity, etc.) and enabling specific choices for sub-volume selection with administrated higher radiation doses. The approach integrates the standard linear quadratic model and, significantly, considers the activation of the immune system due to radiotherapy. This activation enhances the immune response in comparison to the untreated case. We delve into the distinct roles of the native immune system, immune activation by radiation, and post-radiotherapy immunotherapy, discussing their implications for either complete recovery or disease regrowth.
精确放射治疗领域在实验方法和计算方法上都取得了显著进展。最近的文献介绍了各种方法，如空间分割放射治疗（SFRT）。这种非常规治疗需要高精度放疗，已显示出有前景的临床结果。本文提出了一种从病例报告中推断出的SFRT综合计算方案。该框架具有出色的灵活性，能适应各种初始条件（形状、不均匀性等），并能为选择接受更高辐射剂量的子体积做出特定选择。该方法整合了标准的线性二次模型，并且重要的是，考虑了放疗引起的免疫系统激活。与未治疗的情况相比，这种激活增强了免疫反应。我们深入探讨了天然免疫系统、辐射引起的免疫激活以及放疗后免疫治疗的不同作用，讨论了它们对完全康复或疾病复发的影响。
