AI 中文总结
本研究将TG-43形式化方法适配Alpha DaRT模型，定义有效剂量率与活度转换因子，通过数值计算生成相关表格，使商用软件可用于Alpha DaRT治疗计划制定，但表格需按病例生成。
AI 中文摘要
背景：扩散α粒子发射体放射治疗（"Alpha DaRT"）利用α粒子实现实体肿瘤的治疗。在Alpha DaRT中，肿瘤剂量分布主要由²²⁴Ra衰变产物的扩散决定。由于Alpha DaRT源的剂量传递机制与仅发射电子或光子的源存在本质差异，传统TG-43形式化方法无法直接应用于Alpha DaRT。目的：将TG-43形式化方法适配为可与Alpha DaRT模型配合使用，具体目标是使商用治疗计划软件包能够用于Alpha DaRT的治疗计划制定。方法：定义有效剂量率及活度转换因子，结合求解模型方程的数值计算，将Alpha DaRT模型预测结果纳入TG-43形式化方法。结果：针对某一Alpha DaRT治疗场景，给出了计算得到的F(r, θ)和g_L(r)表示例，模型参数代表鳞状细胞癌的临床前数据。结论：商用软件可用于Alpha DaRT的治疗计划制定，但生成的F(r, θ)和g_L(r)表依赖于组织参数及治疗时长，因此需根据具体病例生成这些表。
英文摘要
Background: Diffusing alpha-emitters Radiation Therapy ("Alpha DaRT") enables the treatment of solid tumors using alpha particles. In Alpha DaRT, the tumor dose distribution is mainly dictated by the diffusion of the decay products of $^{224}$Ra. Due to the inherently different mechanism of dose delivery of the Alpha-DaRT source compared to sources emitting only electrons or photons, the conventional formalism of TG-43 cannot be directly applied to Alpha DaRT. Purpose: To adapt the TG-43 formalism to be used with the Alpha-DaRT model, with the specific aim of allowing commercial treatment-planning software packages to be used for Alpha-DaRT treatment planning. Methods: The effective dose rate is defined, along with an activity conversion factor. These, together with a numerical calculation that solves the model equations, allow implementing the Alpha-DaRT model predictions into the TG-43 formalism. Results: An example of calculated $F(r, θ)$ and $g_L(r)$ tables is presented for an Alpha-DaRT treatment scenario, with the model parameters representing preclinical data on squamous cell carcinoma. Conclusions: Commercial software can be used for Alpha-DaRT treatment planning. However, the generated $F(r, θ)$ and $g_L(r)$ tables depend on tissue parameters, as well as treatment duration, and so these tables should be generated on a case-by-case basis.
