在蒙特卡洛生物物理3D多细胞模型中细胞内放射性核素分布的影响,用于向的α疗法
Victor Levrague1, Mario Alcocer-Ávila2, Sarah Leilla Otmani1
1Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, Grenoble, France.
Medical physics
|July 16, 2025
概括
对细胞内α-发射体分布的准确建模对于预测向α疗法 (TAT) 疗效至关重要,特别是在小瘤中. 了解放射性核素的分布影响细胞存活率和瘤控制概率.
科学领域:
- 医学物理 医学物理
- 辐射疗法 辐射疗法
- 核医学就是核医学.
背景情况:
- 针对性阿尔法疗法 (TAT) 需要精确的纳米和微剂量测量来预测治疗疗效.
- 细胞和亚细胞水平上的异质剂量沉积是TAT的一个关键挑战.
- 了解α-发射体内化对于准确的剂量测量和生物结果预测至关重要.
研究的目的:
- 从理论上评估阿尔法发射体内化对剂量计和生物终点的影响.
- 评估放射性核素分布对细胞存活率和瘤控制概率的影响.
主要方法:
- 使用Geant4 (蒙特卡洛) 模拟的孤立细胞和3D多细胞球体.
- 模拟了各种细胞内部化场景和放射性核素分布.
- 计算了平均特异能,细胞存活率 (NanOx模型),RBE和TCP.
主要成果:
- 放射性核素的分布显著影响剂量沉积 (<50微米球体),但在较大的球体中影响较小.
- 根据分布,相对生物有效性 (RBE) 从2.3到3.3不等.
- 瘤控制概率 (TCP) 很大程度上取决于每个细胞的活动和分布,特别是在较低的活动.
结论:
- 对于小瘤和低度区域,需要精确建模细胞内α-发射体分布.
- 每个细胞活性 (APC) 的内波动对于预测TAT治疗疗效至关重要.
- 考虑到细胞和亚细胞分布的准确剂量测量对于可靠的TAT结果预测至关重要.
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