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利用蒙特卡罗算法优化的基于聚合物的生物墨水增强锂重离子治疗中的组织等效性。

Enhancing Tissue Equivalence in Li Heavy Ion Therapy with MC Algorithm Optimized Polymer-Based Bioinks.

作者信息

Ekinci Fatih, Acici Koray, Asuroglu Tunc

机构信息

Institute of Nuclear Sciences, Ankara University, 06100 Ankara, Turkey.

Artificial Intelligence and Data Engineering, Ankara University, 06100 Ankara, Turkey.

出版信息

J Funct Biomater. 2023 Nov 25;14(12):559. doi: 10.3390/jfb14120559.

Abstract

The unique physical properties of heavy ion beams, particularly their distinctive depth-dose distribution and sharp lateral dose reduction profiles, have led to their widespread adoption in tumor therapy worldwide. However, the physical properties of heavy ion beams must be investigated to deliver a sufficient dose to tumors without damaging organs at risk. These studies should be performed on phantoms made of biomaterials that closely mimic human tissue. Polymers can serve as soft tissue substitutes and are suitable materials for building radiological phantoms due to their physical, mechanical, biological, and chemical properties. Extensive research, development, and applications of polymeric biomaterials have been encouraged due to these properties. In this study, we investigated the ionization, recoils, phonon release, collision events, and lateral straggle properties of polymeric biomaterials that closely resemble soft tissue using lithium-ion beams and Monte Carlo Transport of Ions in Matter simulation. The results indicated that the Bragg peak position closest to soft tissue was achieved with a 7.3% difference in polymethylmethacrylate, with an average recoils value of 10.5%. Additionally, average values of 33% were observed in collision events and 22.6% in lateral straggle. A significant contribution of this study to the existing literature lies in the exploration of secondary interactions alongside the assessment of linear energy transfer induced by the Li beam used for treatment. Furthermore, we analyzed the tissue-equivalent properties of polymer biomaterials using heavy ion beams, taking into account phonon release resulting from ionization, recoils, lateral straggle, and all other interactions. This approach allows for the evaluation of the most suitable polymeric biomaterials for heavy ion therapy while considering the full range of interactions involved.

摘要

重离子束独特的物理特性,尤其是其独特的深度剂量分布和尖锐的侧向剂量降低曲线,已使其在全球肿瘤治疗中得到广泛应用。然而,必须研究重离子束的物理特性,以便在不损害危及器官的情况下向肿瘤输送足够剂量。这些研究应在由紧密模拟人体组织的生物材料制成的体模上进行。聚合物可作为软组织替代品,由于其物理、机械、生物和化学特性,是构建放射体模的合适材料。由于这些特性,聚合物生物材料受到了广泛的研究、开发和应用。在本研究中,我们使用锂离子束和物质中离子的蒙特卡罗传输模拟,研究了与软组织非常相似的聚合物生物材料的电离、反冲、声子释放、碰撞事件和侧向离散特性。结果表明,聚甲基丙烯酸甲酯的布拉格峰位置与软组织最接近,相差7.3%,平均反冲值为10.5%。此外,碰撞事件的平均值为33%,侧向离散的平均值为22.6%。本研究对现有文献的一个重要贡献在于,在评估用于治疗的锂束引起的线性能量转移的同时,探索二次相互作用。此外,我们使用重离子束分析了聚合物生物材料的组织等效特性,同时考虑了电离、反冲、侧向离散和所有其他相互作用产生的声子释放。这种方法能够在考虑所有相关相互作用的情况下,评估最适合重离子治疗的聚合物生物材料。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5410/10743991/22f16f702686/jfb-14-00559-g001.jpg

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