Computational Approach for Spatially Fractionated Radiation Therapy (SFRT) and Immunological Response in Precision Radiation Therapy

被引:0
作者
Castorina, Paolo [1 ,2 ,3 ]
Castiglione, Filippo [4 ,5 ]
Ferini, Gianluca [6 ]
Forte, Stefano [1 ]
Martorana, Emanuele [1 ]
机构
[1] Ist Oncol Mediterraneo, Via Penninazzo 7, I-95029 Viagrande, Italy
[2] INFN, Sez Catania, Via St Sofia 64, I-95123 Catania, Italy
[3] Charles Univ Prague, Fac Math & Phys, V Holesovickach 2, Prague 18000, Czech Republic
[4] Technol Innovat Inst, Biotechnol Res Ctr, POB 9639, Abu Dhabi, U Arab Emirates
[5] Natl Res Council Italy, Inst Appl Comp, Via Taurini 19, I-00185 Rome, Italy
[6] REM Radioterapia, Via Penninazzo 11, I-95029 Viagrande, Italy
来源
JOURNAL OF PERSONALIZED MEDICINE | 2024年 / 14卷 / 04期
关键词
in-silico model; radiotherapy; immunotherapy; Spatially Fractionated Radiation Therapy; mathematical framework;
D O I
10.3390/jpm14040436
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
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页数:13
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