Division of Radiation Research, Department of Radiology, New Jersey Medical School, Rutgers University, Newark, New Jersey.
Division of Radiation Research, Department of Radiology, New Jersey Medical School, Rutgers University, Newark, New Jersey
J Nucl Med. 2022 Sep;63(9):1441-1449. doi: 10.2967/jnumed.121.263253. Epub 2022 Feb 10.
Radiopharmaceutical therapy is growing rapidly. However, yet to be addressed is the implementation of methods to plan treatments for circulating tumor cells, disseminated tumor cells, and micrometastases. Given the capacity of radiopharmaceuticals to specifically target and kill single cells and multicellular clusters, a quality not available in chemotherapy and external-beam radiation therapy, it is important to develop dosimetry and bioeffect modeling tools that can inform radiopharmaceutical design and predict their effect on microscopic disease. This pamphlet describes a new version of MIRDcell, a software tool that was initially released by the MIRD committee several years ago. Version 3 (V3) of MIRDcell uses a combination of analytic and Monte Carlo methods to conduct dosimetry and bioeffect modeling for radiolabeled cells within planar colonies and multicellular clusters. A worked example is provided to assist users to learn old and new features of MIRDcell and test its capacity to recapitulate published responses of tumor cell spheroids to radiopharmaceutical treatments. Prominent capabilities of the new version include radially dependent activity distributions, user-imported activity distributions, cold regions within the cluster, complex bioeffect modeling that accounts for radiation type and subcellular distribution, and a rich table of output data for subsequent analysis. MIRDcell V3 effectively reproduces experimental responses of multicellular spheroids to uniform and nonuniform distributions of therapeutic radiopharmaceuticals. MIRDcell is a versatile software tool that can be used for educational purposes and design of radiopharmaceutical therapies.
放射性药物治疗正在迅速发展。然而，目前仍需要解决的问题是制定针对循环肿瘤细胞、播散性肿瘤细胞和微转移的治疗方法。鉴于放射性药物具有特异性靶向和杀死单个细胞和多细胞簇的能力，而这是化学疗法和外照射放射疗法所不具备的，因此开发能够为放射性药物设计提供信息并预测其对微观疾病影响的剂量学和生物效应建模工具非常重要。本手册介绍了 MIRDcell 的新版本，MIRDcell 是几年前由 MIRD 委员会最初发布的一款软件工具。MIRDcell 的第 3 版（V3）结合使用分析和蒙特卡罗方法，对平面菌落和多细胞簇内放射性标记细胞进行剂量学和生物效应建模。提供了一个示例工作，以帮助用户学习 MIRDcell 的新旧功能，并测试其重现肿瘤细胞球体对放射性药物治疗反应的能力。新版本的突出功能包括径向依赖的活性分布、用户导入的活性分布、簇内的冷区、考虑辐射类型和亚细胞分布的复杂生物效应建模，以及丰富的输出数据表格，可用于后续分析。MIRDcell V3 有效地再现了多细胞球体对治疗性放射性药物均匀和非均匀分布的实验反应。MIRDcell 是一种功能多样的软件工具，可用于教育目的和放射性药物治疗的设计。
